f
zomrfimflmto H3.
U”
9. ur‘
Yu‘n..r
an,
f...“
u ‘
odfiafilf 7V)“. .2)".
K .s &
o
J“...
‘7'
9.
' '15‘.‘
Inr'vrp
.trz‘rt.
”L"; 2w-
.‘l‘ ‘
‘I‘
L'
‘W
.T
~
(J . v 1
0:1 (ao-
. “bunt?
CLdJ'LWILHLvu/Yifll.
11
l "
l ."kn‘
Lulllfllll
6
. «1 If a: L.
ru..v.‘.l,n a. .1 1 . .. .
vflsurm LIA, an .va . ‘. A ‘ .. ‘ . . . . ‘. . H r , .. . ‘ . . ‘ JunmwkMMWmuh. 14.
”Ftwofilu‘mflk‘gt, . , ‘ . V ‘ , .. , , ‘ . ‘
ah; .L IE...
‘ \.
This is to certify that the
thesis entitled
A Characterization of Somatic Sectoring
in Tredeecantie
presented by
Michael Lee Christians on
has been accepted towards fulfillment
of the requirements for
LIBRARY
Mio’om State
Ph. D. degree in The Genetics Program
and Department of Botany and Plant Pathology
“/2/ hyigga,
Major professor
Date Juj-Y 27: 1976
0-7639
'r‘mf‘n ‘
n. mom; ‘3" ’
"DAB 6 3"."45'
800K BINDERY INC.
LIBRARY BINDERS
QIIIIPO‘II, IICIISI;
_._.4 v..
/
/ CD
I
0/; =*
/... /
L7
ABSTRACT
A CHARACTERIZATION OF SOMATIC SECTORS IN TRADESCANTIA
By
Michael Lee Christianson
Somatic sectoring in Tradescantia is the most sensitive biological
indicator of radiation known, and has been suggested as an admirable
test system for the study of chemical mutagens as well. The radio-
biology of Tradescantia, as induced chromosome aberrations, is
described in an enormous literature, but the investigation of the
mechanism(s) of production of somatic "mutations" has just begun.
Unless or until the mechanisms of "low—level sectoring (spontaneous
and few-fold enhancement)" in Tradescantia are well described and
shown to operate in similar relative frequency and at similar
efficiency in human beings, the extrapolation of relative biological
effectiveness (RBE) or the transfer of "mutation rate" from
Tradescantia gp, to Homo sapiens cannot be valid.
This dissertation makes a major contribution to the first process,
i.e., the characterization of spontaneous and slightly-enhanced
somatic sectoring in Tradescantia. Section I of the dissertation
describes the chemogenetics of a diploid, purple-flowered I}
hirsuticaulis stock and the mutant-colored (red and blue) cells
found upon close inspection of the pigmented floral parts. Section
II considers the mutant sectors in the stamen hairs, monofilifbrm
chains of large, anthocyanin-pigmented cells, in more detail. The
red and blue mutant cells are analysed with respect to their
7}
pr
rel
Michael Lee Christianson
distribution within and among the hairs on a stamen, as well as with
respect to their frequencies and associations with putative chromo-
some fragments both spontaneously and after exposure to relatively
low amounts of 60Co gamma radiation. These analyses support an
argument for somatic crossing-over as the major mode of production of
spontaneous sectors as well as an important mode of production of
sectors after exposure to as much as 60 R of radiation. Section III
considers some conceptual analogies in the genetic behavior of
facultative apomicts and somatically sectoring Tradescantia flowers.
From this consideration arises a new method of treating somatic
sectoring data and the introduction of a previously undescribed
somatic genetic parameter, A, the apomictoid fraction.
Major findings of this study may be summarized as follows:
l) Purple flower color of the I, hirsuticaulis stock is due to the
presence of approximately equal amounts of blue (delphinidin) and
red (cyanidin) pigments.
2) The total amount of anthocyanin pigment in purple-flowered I.
hirsuticaulis is twice that in blue- or red-flowered 1, clone 02 and
progeny.
3) Purple-flowered I} hirsuticaulis possesses an allele, E+, which is
responsible for both #1 and #é above. Action of the E+ allele may
well have a simple molecular explanation.
4) The genotype of the purple-flowered stock is D+E'/D'E+. This
designation was arrived at through an analysis of the occasional red
Michael Lee Christianson
and blue mutant cells produced in the purple floral tissues and is
supported by breeding data.
5) Purple-flowered I, hirsuticaulis exhibits three classes of somatic
sectors: red-only, red/blue twin spots, and blue-only. The twin
spots are shown to be the results of single events.
6) As in 1, clone 02, deletion, as evidenced by the presence of micro-
nuclei (chromosome fragments), is indicated to be one mechanism pro-
ducing certain kinds of sectors (red-only) in response to ionizing
radiation.
7) The predominant, if not exclusive, mechanism of spontaneous sector-
ing and an important mechanism even for 60 R-induced sectoring in
this I, hirsuticaulis (and by inference, in other Tradescantia) is
argued to be mitotic crossing-over.
8) Some conceptual parallels between the genetic behavior of faculta-
tive apomicts and sectoring flowers of Tradescantia are described.
This results in a description of new somatic genetic parameters, A,
the apomictoid fraction, and l-A, the mictoid fraction, those frac-
tions of the cell divisions that are typical mitoses, or atypical
mitoses where the chromosomes are amenable to exchange, respectively.
9) A genetically accurate method of using somatic sectoring data for
the calculation of mitotic map distances and coincidence is described.
10) Mitotic crossing—over through failure of some canalized gene of
mitosis is shown to predict a "log response - log dose" plot which
simulates that found for somatic sectors in T. clone 02.
A CHARACTERIZATION OF SOMATIC SECTORING IN TRADESCANTIA
By
Michael Lee Christianson.
A DISSERTATION
Submitted to
Michigan State University
in partial fulfillment of the requirements
for the degree of
DOCTOR OF PHILOSOPHY
Genetics Program
and
Department of Botany and Plant Pathology
1975
This Dissertation is dedicated:
To the memory of
Walt Whitman.
To the actuality of
Dr. George Landon,
To the future of
gay women and men,
and
To Diana Ross.
ii
Th
Robertsr
was prin
done by
Dur:
many Sign
these are
Drs. J. H.
R. P. Heri
to the Drs
respective?
nor the ion
bility and
well, to Dr
QIOUp at Sr
lad it
might have
i"tallectue
Head! 0. E
ACKNOWLEDGEMENTS
This bound volume would never have appeared but for Phyllis
Robertson who typed the final manuscript. The color plate, Figure 3,
was printed by Dr. L. N. Mericle. The layout of Figures 6 - 12 was
done by Dr. R. P. Mericle.
1 During my long career at Michigan State University, I have had
many significant interactions with faculty and staff. Prominent among
these are the guidance and encouragement of my committee members,
Drs. J. H. Asher, jr., P. S. Carlson, W. 6. Fields, L. H. Mericle,-
R. P. Mericle, and Wm. Tai. A particular expression of gratitude goes
,to the Drs. Mericle, chairman and non-faculty member of my committee,
respectively, not just for all the time spent in editorial suggestion,
her the long discussions, but for the combination of freedom, responsi-
bility and respect that I found in their laboratory. I am grateful, as
well, to Dr. A. H. Sparrow for the opportunity to be associated with his
group at Brookhaven National Laboratory during the summer of 1973.
Had it not been for my friends and members of my living groups, I
might have finished sooner, or might not have finished at all. For their
intellectual and emotional support, I thank them: L. E. Murry, M. A.
Mead, D. E. Clark, K. o. Hoffman,.P. H. deZeeuw, M. w. deZeeuw, J. 5.
iii
Lee, S. L. White, s. J. Risch, P. Hertz, 5. George, J. N. Enders, s.
Itzkowitz, and e. D.-Starks.‘
The financial support came from a National Science Foundation
PredoctoralrFellowship.
iv
LIST OF '
LIST OF 1
INTRODUC'
SECTION I
Tradescar
Gene
Pur;
Pur;
Gene
Pred
anal
Resu
SECTION I
Purple-fl
Gene
Red,
Red.
Red,
Sec
Her
SECTION ’
data fro
TABLE OF CONTENTS
LIST OF TABLES ................................................
LIST OF FIGURES ...............................................
INTRODUCTION ..................................................
SECTION I. Chemogenetics of a diploid, purple-flowered,
Tradescantia hirsuticaulis ....................................
General considerations ...................................
Purple pigmentation: qualitative nature ..................
Purple pigmentation: quantitative nature .................
Genetics of flower color in Tradescantia .................
Prediction of flower color genotype by somatic cell
analyses .................................................
Results of breeding studies ..............................
SECTION II. Somatic sectoring behavior in stamen hairs of
purple-flowered I, hirsuticaulis ..............................
General considerations ...................................
Red/blue twin spots: their existence .. ...................
Red-only and blue-only sectors: their existence ..........
Red/blue twin spots: position and orientation in hairs ...
Sector sizes .............. . ..............................
Mechanisms of sector production ..........................
SECTION III. Towards a theoretically sound method of treating
data from mitotic exchange ..... ...............................
V
Page
vii
ix
3
3
IS
29
34
38
42
57
57
64
71
72
74
88
104
Parallels between facultative apomicts and somatic.
sectoring in Tradescantia .. ............................. 104
Theory of somatic exchange; ............................... ll2
Quantitation of theory .. ................................ 123'
Application of quantitated theory ....................... 134
Further implications of the theory ........ .............. lSl
SUMMARY ...................................................... l58
APPENDICES
A. Particularly interesting somatic sectors in T.
hirsuticaulis ............................... T" ......... 160
B. Amounts of nuclear DNA in a mature stamen hairs of 1;
clone 02 ............................................. T65
BIBLIOGRAPHY T70
vi
LIST OF TABLES
TABLE
I
TO
ll
12
13'
Petal area, weight, and density of purple I, hirsuticaulis,
blue 1. clone 02 and its red segregant, 5-62 ... ...........
Progeny expected from inbreeding of purple-flowered I,
hirsuticaulis (predicted genotype DTD'E E“) ...............
Progeny obtained from self-pollination of purple I,
hirsuticaulis ...................... . ........ . .............
Testing linkage of D and E loci in I, hirsuticaulis .......
Seeds per capsule from the cross 5-1 x P ..................
. Notation system used for recording somatic sectors in
stamen hairs of I. hirsuticaulis ..........................
Contribution of multiple sectors to total sectors in I.
hirsuticaulis .............................................
Red/blue twin sectors with and without intervening purple
cells .....................................................
Red/blue twin sectors: Pair-by-pair analysis of all stamens
with red and blue mutant sectors ..........................
Red/blue twin sectors: Orientation of red vs. blue
component in the hair .....................................
Sizes of non-multiple, non-entire hair sectors in I,
hirsuticaulis ...................... . ......................
Numbers and thes of sectors in T. hirsuticaulis after
exposures to Co gamma radiation .........................
Distribution of sizes of non-multiple, non-entire red-only
and blue-only sectors ................ . ........... .... .....
vii
Page
30
47
48
53
55
61
65
66
7O
73
75
79
81
TABLE. Page
14
15
16
T75
18
T9
20
21
22.
23
Sizes of non-multiple, entire hair sectors and non-mutant
entire hairs in I, hirsuticaulis .................... ..... 83
Comparison of stamen hair length (number of cells) in 5-42
and 5-62, two red-flowered progeny from 1, clone 02
inbreeding ............................................... 84
Micronuclei association in 60 R-response hairs ........... 91
Micronuclei association in 0 R (Spontaneous) hairs ....... 92
Frequency of somatic sectors in stamen.hairs of I,
hirsuticaulis ............................................ 98
Sectors presented as representing crossover events ....... 103
Sectoring data on I. hirsuticaulis and X2 homogeneity
test .... ................................................. 135
Numbers of hairs per stamen-and cells per hair in I,
hirsuticaulis ........ . ................. . ................. 137
Somatic genetic parameters calculated for I, hirsuticaulis T40
Somatic genetic parameters calculated for Drosophila ..... l48
viii
FIGURE
1
2
The ant
Visible
of flow
and pur
The col
The eff
I. clan
Co-chro
hlr5ut1
\-
Absorpt
Absorpt
Wavelen'
red and
extract
Simulat
Spectra-
SPeCtre
Spectre
Spectra
hir3uf~
Stocks
The st
FIGURE
1
2
10
11
12?
13
14
LIST OF FIGURES
The anthocyanin chromatophore ..........................
Visible absorption spectra of 2% HCl-methanolic extracts
of flowers of blue T. clone 02, a red-flowered progeny,
and purple I, hirsuticaulis ............................
The color of anthocyanin extracts at various pH ........
The effect of pH on visible absorption spectra of blue
1, clone 02 and a red-flowered progeny .................
Co-chromatograms of anthocyanin extracts of blue 1,
clone 02, a red-flowered progeny, and purple I,
hirsuticaulis ..........................................
Absorption curves of petals and aqueous extracts .......
Absorption curves of stamen hair cells .................
Wavelengths at maximum absorbance of various mixtures of
red and blue extracts compared to that of purple
extract ................................................
Simulation of purple spectral "fingerprint" ............
Spectral comparison of pigment intensity .. .............
Spectral "fingerprints" of red cells in several stocks .
Spectral "fingerprints" of blue cells in several stocks.
Spectral "fingerprints" of progeny from purple T.
hirsuticaulis compared to those of blue, red,.and purple
stocks .................................................
The standard scoring sheet .............................
ix
Page
5
14
18
21
23.
25
28
32
41
44
50
63
20
21
22
23
24
25
26
27
28
29
30
31
A sche
MJtatT
"Dose"
Sonati
Variat
Variat
aponix
Cytolo-
Canali.
Chrome!
Differe
the ac1
Apparer
apomict
The "Ha
A Compa
Mitotic
SOWatiC
VGFTOUS
A log-I
EXCEpti
NUCTQQr
FIGURE Page
l5 A schematic stamen ............ ......................... 68
T6 Mutation response curves ..' ............................. 78
T7 "Dose"-response curve .................................. 96
TB Somatic exchange and its results ....................... lOl
19 Variation in calculated map distance with apomixis ..... l07
20 Variation in apparent coefficient of coincidence with
apomixis ............................................... llO
2T Cytological indications of somatic pairing ............. 114.
22 Canalization of the mitotic gene which keeps
chromosomes from pairing ............................... TT7
23 Differences in spontaneous mutation rate explained as
the action of modifiers on cellular physiology ......... 122
24 Apparent coefficient of coincidence versus fraction of:
apomictoid cells ....................................... l25
25 The "half-tetrad" nature of somatic sectors .. .......... 128
26 A comparison of meiotic and mitotic exchange ........... T30
27 ' Mitotic map of I, hirsuticaulis ..... .... ............... l42
2" 32233232 282§t3§mi§’32§i§{i02"&502352‘s‘tl91“.”.‘Iif“???... 144
29 A log-log plot of the normal curve of error ............ 154
30. Exceptional sectors in I, hirsuticaulis . ............... 162~
31 Nuclear DNA in a mature stamen hair .................... T67
Strasbur
hair cells in
sectors, cell
enhanced sect
(93). and the
beginnings of
flaking by de
alleles, by D‘
Somatic :
cal indlcatOr
3" admll‘able
(iii), HOW
SECtoring int
I DElleVe’ DC
low-lam Set}
Operate in S'
hUman DQIHQS
(RBE) or the
INTRODUCTION
Strasburger first described the division of-young, living stamen
hair cells in Tradescantia in 1875 (45,134). The existence of somatic
sectors, cells of a "mutant“ color, in the stamen hairs of
Tradescantia was first reported in 1958 (32). The study of radiation-
enhanced sectoring in plants, however, dates back to at least 1935
(93), and the interest in spontaneous somatic sectors, to the-very
beginnings of the science of genetics as exemplified in studies of
flaking by de Vries (146), patching, by Punnet (112), and unstable
alleles, by Demerec (35).
Somatic-sectoring in Tradescantia is the most sensitive biologi-
cal indicator of radiation known (76,77), and has been suggested as
an admirable test system for the study of chemical mutagens as well
(141). However, the conversion of these slightly increased rates of
sectoring into meaningful estimates of hazards.to human beings is not,
I believe, possible at present. Unless or until the mechanisms of
low-level sectoring in Tradescantia are well described and shown to
operate in similar relative frequency and at similar efficiency in
human.beings, the extrapolation of relative biological effectiveness
(RBE) or the transfer of "mutation rate" from Tradescantia s2, to
1
' rem-.11
This
tion of s;
Tradescant
genetics 0
colored (r
pigmented '
the stamen
crossing-ox
as an impor
following e
III conside
tive apomic
this conside
applicable t
the introduc
mate“ A, UN
Homo sapiens cannot be valid.
This dissertation makes a major contribution to the characteriza-
tion of spontaneous and slightly-enhanced somatic sectoring in
TradeScantia. Section I of the dissertation describes the chemo-
genetics of the purple-flowered I, hirsuticaulis stock and the mutant-
colored (red and blue) cells found upon close inspection of the
pigmented floral parts. Section II considers the mutant sectors in
the stamen hairs in more detail and argues for a mechanism, somatic
crossing-over, as their major mode of spontaneous production, as well
as an important mede of their production at enhanced sectoring rates
6060 gamma radiation. Section
following exposure to as much as 60R
III considers some analogies between-the genetic behavior of faculta-
tive apomicts and somatically sectoring Tradescantia flowers. From
this consideration arises a new method of treating sectoring data,
applicable to all organisms exhibiting somaticrcrossing-over, and
the introduction of a previously undescribed somatic genetic para-
meter, A, the apomictoid fraction.
Chenogenet
General cor
Flower
of colors c
These compo
example, al
(51.71). M
genetic int‘
SUItS 0f crc
In Eiéi
the Presence
the vacuoles
CVanin molec
mOIeCUIe: SL
hydroxy] gr:
IS COIOred’
visnne Ilg
ConjUOated
translthng
Section I
Chemogenetics of a diploid, purple-flowered, Tradescantia hirsuticaulis
General considerations
Flowers of the Anthophyta exist in an incredible range and variety
of colors caused by the presence of just a few classes of compounds.
These compounds can be "diagnostic characters" for the taxonomist: for
example, all plants with betalins belong to the order Centrospermae
(51.71). More often, variant pigmentation is of horticultural or
genetic interest. Indeed, Mendel's first paper (73) records the re-
sults of crosses between violetered and white flowered Piggy,
In Pjsgm_and Tradescantia, floral pigmentation is due mainly to
the presence (or absence) of various anthocyanin pigments contained in
the vacuoles of the epidermal cells of the floral parts. The antho-
cyanin molecule is more properly a substituted 2-phenyl-ben20pyri1ium
molecule: sugar residues attached to the A ring, and 1,2, or 3
hydroxyl groups on the B ring (Figure l). The anthocyanin molecule
is colored, of course, because it absorbs Certain wavelengths of
visible light. The quanta of energy are absorbed by the electrons in
conjugated n molecular orbitals. These electrons make Vpermitted
transitions" to excited energy states and subsequently return to the
Figure 1. The anthocyanin chrOmatophore.e
Substitution with sugar residues at the 3 and 5 positions (arrows)
of the anthocyanjgin converts it to theicorresponding,'water-soluble,
anthocyanin? Each named anthocyanin or anthocyanidin has.a character-
istic hydroxylationpattern for the B-ring; pelargonidin is 3,5,7,4‘-
tetrahydroxy—benzopyrilium, cyanidin, 3,5,7,3‘,4i-pentahydroxy-
benzapyrilium, and delphinidin, 3,5,7,3I,4',5'-hexahydroxyebenzo-
pyrilium.' These pigments are associated with orange, red, and blue
flower-color, respectively.
«gradnd State"! y
reflected 01‘ "3'
wavelengths VET
ii—
The electrc
substituent gro'.I
the molecular '
on the 8 ring to
permitted; the J .
terested in f or
the papers l cc
I
perspective (63
116,127,132)
¥
9
resonance (EP? I
linst of ti
and coworkers
acidified (1-:
VAIIOUS Train:
\
absm‘PtiOn CUrI
"In plarf
that is 1'
this is Clear
dramatically
eXpTESsion of
E
6
Vground statef, releasing their energy as non-visible quanta. The
reflected or transmitted light, then, has differing amounts of various
wavelengths removed and thus appears colored to the human eye.
The electron-donating or electron-withdrawing properties of the
substituent groups on the phenyl ring change the electron density in
the n molecular orbital. Molecules with different substituent groups
on the B ring then differ in which transitidns to excited states are
permitted; they have different colors to the human eye. Readers in-
terested in further exploration of this topic are referred to some of
the papers I consulted in arriving at the above summary: for historical
perspective (69,107,108) for evidence from visible spectrosc0py (115,
116,127,132), from UV spectroscopy (37), and frOm electron paramagnetic
resonance (EPR) studies (46,103,126).
Most of the English-speaking world follows the method of Harborne
and coworkers fbr the stady of anthocyanins, i.e., extraction into
acidified (1-2%) alcohol (48,49,50,62,139,l40). Extracts of the
various Tradescantia stocks prepared in this way exhibit single peaked
absorption curves (Figure 2). While Stevenson (132) says
"In plants, the flower pigments usually exist in an environment
that is chemically nearly identical to the acidified methanol...",
this is clearly not so; the anthocyanin in the petal changes color
dramatically upon contact with the acid~methanol.' This is the jn_yjyg_
expression of the long known in 11359 effect of pH on the color of
anthocyanin extracts (26,38,110,116,127) (Figure 3). In contrast,
Figure 2.." Visible absorption -spectra-of 2% HCT—methanolic extracts
of flowers of blue 1} clone o2, a red-flowered progeny, and purple
‘ Lrhirsuticauiis.
The three variously colored stocks give smooth single peaks,
with rather sharply defined maxima at 532, 548, and 540 nm for red,
blue, and purple stocks, respectively, when measured with a Beckman
086 spectrophotometer.
*aem_p——‘W_H4A H_—__.__.__-_———_____
Absnrba nce
Absorbance
Purple
Blue
532 -
540 ‘
548
Wavelength, nm
Figure 2
Figure 3; The coloraof-anthocyanin eXtracts at various pH.
Shifts in the pH of aqueous extracts.prepared from petals of
blue-flowered 1, clone 02 and a red-flowered progenvaere effected
throughitheaddition of small amounts of dilute HCl or NaDH; each vial-
is labeled as to the.pH of the solution within. Notice that the
color of the extract ofred flowers(series labeled "C“) at pH 5.0 and
5.6 is nearly identical to the color of the extract of blue flowers
(series labeled “D") at pH 2.8 and 3.1, respectively.
_ _ i _ L
95‘.—
_—T—-‘
11
extraction of petals in distilled water.gives a preparation of pH 5.6
- 5.8 (75,135) whose coloraand visible absorption spectra do not.
differ from those of intact, living petals or individual-living stamen
hairs (82,88). (The routine extraction into acidified water most
likely explains.the differences observed by Stewart g§_gl, (133)
between spectra of intact tissues and anthocyanin extracts of those
tissues.)
While anthocyanins are reported to be unstable in non-acidified
solution (139), that is not the case with extracts from Tradescantia.
Simple aqueous extracts of TradeSCantia stocks have-kept-tbeir original
colorrduring more than 6 months of refrigeration. 'While homogenates of
certain stocks of Tradescantia are, indeed, very unStable, for reasons
not yet known, a nethechnique serendipitously discovered by Mericle
and Mericle (in preparation) gives stable, non-acidified, aqueous-
extracts of them as well. Initial studies of the visible spectrosc0py
of simple aqueous extracts were carried out during 1967 e 1968 by
Mericle and Mericle. While these workers had expected to find single-
peaked absorption curves (75,87), they observed that both the aqueous
extracts and living materials exhibited multi-peaked absorption curves
within the visible wavelengths. This type of spectrum, they discover-
ed, had just been reported in the botanical literature (119).
Multiple-peaked absorption curves, however, were not without pre-
cedent, and interpretation, in the physical—chemical literature. Adams
and Rosenstein (1) investigated the spectrum of crystal violet, a well
known dye. in
chanical speci
tion curve (a
seen at any 91"
respective par
sequent invest
to the same cor
While the
one colored for
139,140) other
anionic form 01
single anionic
the QVICOSylate
molecule (dEIph
ThEOI‘etics
extracts of Var
spectra] "finge
anthocyanin fro
(livers, from S
cyanin, the bib
deiDhinin With
cause ibIUEing"
While the Dump
the Same Coim-
12
known dye, in solutions at various pH. They concluded that each
chemical species (ionic form) of the dye had a single-peaked absorp-
tion curve (a “fundamental") and that the multimodal absorption curve
seen at any given pH was the sum of each molar "fundamental" times the
respective partial molar fraction of each chemical species. Sub-
sequent investigation by others with different dyes (reviewed, 69) led
to the same conclusions.
While the English language literature considers equilibria between
one colored form and various non-colored species of anthocyanins (e.g.,
139,140) other work (38,116) considers a red cationic form and a blue
anionicxform of any pure anthocyanin.r Whether a single cationic and a
single anionic fbrm actually describes all the ionicSpecies of, say,
the gylcosylated 3,5,7,3',4',5‘ -hexahydroxy-2+phenyl-benzopyrilium
molecule (delphinidin) is not yet known.
Theoretics and physical chemistry aside, the non-acidified aqueous
extracts of various Tradescantia stocks give distinctive, multipeaked
spectral "fingerprints." Figure 4 shows the spectral curves of the
anthocyanin from red-flowered and blue-flowered Tradescantia. The red
flowers, from S-62, a red-flowered segregant from 1, clone 02, contain
cyanin, the blue flowers of I, clOne 02, a pigment mixture of mostly
delphinin with a trace of cyanin (79). Increases in pH are known to
cause.?blueing"~of anthocyanins jn_givg_(8,18) and inpyjtrg_(26).
While the human eye may see delphinin and cyanin.at different pH as
the same color (Figure 3), a spectrophotometer detects differences.
13
Figure 4. The effect of pH on visible absorption spectra of blue '-<:E:Ef
1, clone 02 and a red-flowered progeny.
Aqueous extracts of the blue and red stocks, initially pH 5.85
and 5.60—respective1y, had their pH altered by the addition of small
amounts of hydrochloric acid. The visible absorption spectra at
these new pH were measured with a Beckman 086 spectrophotometer: a)
blue stock,b) red stock. The dotted line at 550 nm is to facilitate
comparison of the two sets of curves.r
e masmmm
E: .cuwcoao>m3
1'4
mm.m
1%
i%
small
a
itate
......-’
onv omo one
P b _ b
_
_
_
. _
om m _
w
_
mH.m .
I .
\ _
. _
oo v .
_
_
.
_
sou cq .msq v
Figure 4 Sho
extracts. N
curve of one
pigment. 1”
single'Peaka
characteri st'
The vari
general, give
tion in a DUI:
Dr. A. H. 3133'
purple, could
routes: throug
simultaneous F
blue pigments,
a red or a blu
extracts of pu
stamen hair ce
maximally tri'.m
(compare Figur
Hhile Chr
clearly show
Pigments were
15
Figure 4 shows the results of changing the pH of the blue and red
extracts.‘ Note that the spectralcurves change in shape, but the
curve of one pigment is never converted into the-curve of the other
pigment.i In highly acidic aqueous solution, each pigment~does give a
single-peaked absorption curve: these, however, possess a distinct,
characteristic wavelength of maximum absorbance.(xmax).
Purple pigmentation: ,gualitative nature,
The various spectral properties of anthdcyanins, and dyes, in
general, give a meansof identifying the nature of the purple pigmenta-
tion in;a purple-flowered-Ig hirsuticaulis stock (#2091, obtained from
Dr. A; H. Sparrow, Brookhaven National Laboratory).’ The flower color,
purple, could be obtained through any one or a combinatidn of several
routes: through the presenceof one, purple, pigment, gig the
simultaneous presence of approximately equal proportions of red and
blue pigments, or 319 a shifting of visual color-throughpr effects on
a red or a blue pigment. This latter is ruled out since simple aqueous
extracts of purple petals as-well as the petals themselves or individual
stamen hair cells show a tetrgmodal absorptibn curve unlike the
maximally tgjmodal curves seen for cyanin or delphinin at any pH
(campare Figures 6,7 withrFigure 4). .
While chromatography of an extract of the purple petals could
clearly show whether a single purple pigment, or both red andrblue
pigments were the cause of the purple flower color, Tradescantia
_ —_ __
pigments do r
conditions.
gave rise to
and unhydroly
after the met
separation (o
solvents). F
Tradescantia ‘
strips with d:
(drawn from ti
l:l:l gave the
method preserv
red, the delph
Pigments from
of pigment.
The chron,
of the purple .
Went. but 1
led and blue p
Previous TeDOr
mnii blue pi
Concurren
the nature of
16
pigments do not separate well under most standard chromatographic
conditions. Progressive hydrolysis and subsequent chromatography
gave rise to "extra spots", identified as partial breakdown products
and unhydrolyzed pigments (40). My chromatography of anthocyanigins
after the methods of several-workers (7,49,94,102) did not give a
separation (or, of course, the retention of natural color in the acid
solvents). Finally, I attempted chromatography of aqueous extracts of
Tradescantia flowers containing anthocyanins: Whatman #1 filter paper
stripswith development in mixtures of isopropanol, ethanol, and water
(drawn from the methods of Osawa 103, and Alvarez 2). Proportions of
1:1:1 gave the best separation and spot definition, (FigureS). This
method preserves the natural color of the pigments; the cyanin spot is
red, the delphinin, blue. It proved impossible, however, to elute the
pigments from the dried chromatogram in order to quantitate the amounts
of pigment.
The chromatogram (Figure 5)shows that the anthocyanin pigmentation
of the purple I}hirsuticaulis is not the result of a single purple
pigment, but instead due to the presence of perhaps equal amounts of
red and blue pigments.' Furthermore, the co-chromatogram confirms
previous reports (79) that the blue-flowered 1, clone 02 contains
mainly blue pigment plus a trace of red pigment, but by chromato-
graphy of the anthocyanins, not the anthocyanidins.
Concurrent with initial, unsuccessful, attempts at elucidating
the-nature of the purplepigmentation gig chromatography,
17
Figure 5. Co-chromatograms of anthocyanin extracts of blue I, glggg_
92, a red-flowered progeny, and purple I, hirsuticaulis.
Ascending chromatography on Whatman #1 filter paper strips with
development in the solvent Isopropanol:Ethanoleater::l:l:l of equal
amounts of similarly prepared aqueous extracts of blue, red, and purple
stocks. The red,.cyanin, pigment has a higher Rf than the blue,
delphinin, pigment.
I".
'- - ‘1:.
iii If} {If
m oe=m_m
RUO o 2......
so»)0.~
UHUflHllHU
Aoeaaav
+i.co.* .:o>_on
spectrophc
Non-a
I- ma
visible re
phenomenon
and its rec
petals, liv
tetrahedal
trimodal to
be easily Se
Spectrophotc
stocks (Figu
When th
"Ddal curves
defimd maxin
19
spectrophotometric studies were undertaken.toward-the same‘ends.'
Non-acidified aqueous extracts of petals from the purple-flowered
I,hirsuticaulis have essentially the same absorption spectra in the
visible region as the living intact petals (Figure 6);”th15‘
phenomenon was previously reported for the blue flowered 1} clone 02
and its red—flowered progeny (82). The purple pigment, in intact
petals,-living stamen hairs, or in aqueous extracts, exhibits a
tgtgamodal~absorption spectrum which corresponds to neither of the
trimodal curves obtained forblue or red flowers. This difference can
be-easily seen in a comparison of absorption curves obtained by micro-
spectrophotometry of individual, living, stamen hair cells of the three
stocks (Figure 7);
When the petals are extracted in acidic methanol (2% HCl), multi-
modal curves are not seen. Instead, single peaks with rather sharply
defined maxima are obtained; the wavelength at maximum absorbance is
specific for each of the variously celored stocks (Figure 2). Mixtures
of such acidified methanolicextracts of petals from blue- and red-
flowered stocks also show single peaks whose wavelengths at maximal
absorbance are intermediate between those of the unmixed extracts,
535 nm and546 nm, respectively, for red-flowered and-blue-flowered-
stocks measured with a Beckman 086 spectrophotometer,‘ Indeed, a
linear relationship between Amax and proportion of red (or blue)
extract isobserved (Figure-8). The Amax of the purple stock is 541
nm, almost exactly midway between those of the unmixed red or blue
20
hi ~
Figure 6. Absorption curves of petals and aqueous extracts.
1.
Absorption curves obtained by macrospectrophotometry of living,
0
intact petals and non-acidified aqueous extracts of petals from purple g
in
flowers of I} hirsuticaulis. The spectrophotometer was a Cary 15. ‘ E 02 p
00
ll
‘2/
/
to L__
430
L
if living.
from putple
‘ary 15.
Absorbance
21
0.4 r
' ",Non-ac1dified aqueous
petal extract
0.2 - Intact, living petal
0.0 l l l 1
450 500 550 600 650 700
Wavelength, nm
Figure 6
22
Figure 7. Absorption curves of stamen hair cells.
Absorption curves obtained by microspectrophotometry of individual,
living stamen.hair cells from‘blue-flowered Leia... 02. its red-
flowered progeny, and from purple-flowered I, hirsuticaulis. From
"plug" measurements uncorrected for cell size or pigment concentration,
measured with a Zeiss 01 microspectrophotometer.
Absorbance
0.0
Q0
‘\.
armhnmt
5rd-
From
icentration
Absorbance
0.6
0.4
0.2
0.0
0.0
0.0
23
b
in
Purple, 1. hirsuticaulis
r Blue, Clone 02
Red, progeny
’ of Clone 02
J 1 L 1 a
450 500 550 600 650 700
Wavelength, nm
Figure 7
24
Figure 8. Wavelengths at maximum absorbance of various mixtures of
red and blue extracts compared with that of purple extract.
Wavelengths at maximum absorbance for acidified-methanol extracts
prepared from equal numbers of petals from blue-flowered 1} clone 02
and its red-flowered progeny, mixtures of the two in various proportions.
and comparison with that of an acidified-methanol extract prepared from 9
half the number of petals from purple-flowered I, hirsuticaulis. The
spectrophotometer was a Beckman DBG.
25
m mgam_u
mHauoo Hauou mo maauoa no» =o«uuoqoom
o.H m.o o.o v.o ~.o o.o
111 d d d d d CNm
ovm
eoueqaosqe mnmtxem ‘mu ‘qafluetanen
own
extracts,
equal amc
he Eflill
glycoside
Tm near
of cyanic
as strong
that the
presence
There is
aqueous l
MiX'
numbers .
similar
of the F
on the 1
additim
extract:
curve 'l
petals
platent
the DUI
and 511
Chrome
26
extracts, and corresponds exactly to that observed for a mixture of
equal amounts of red and blue extract (541 nm). On the other hand,
the ugigug, purplish pigments, petunidin and malvinidin or their
glycosides, as observed by Stevenson (132), have their respective
Amax near but higher than the midpoint of the interval from the Amax
of-cyanidin to that of delphinidin. I interpret these experiments
as strongly supporting the suggestion from the chromatographic work
that the purple color may well be the result of the simultaneous
presence of approximately equal amounts of delphinin and cyanin.
There is further support for this interpretation in the spectra of
aqueous extracts of the red, blue and purple stocks,
Mixtures of non-acidified aqueous extracts prepared from equal.
numbers of red and blue petals give tetamodal absorptioncurves
similar to the tetramodal spectrum of the purple stock; the location
of the peaks and shoulders, as well as their relative heights, depend
on the proportions of the mixture (88). Indeed, simple mathematical
addition of the tgjmodal absorption curves for non-acidified aqueous
extracts of equal numbers of red and blue petals gives a tetramodal
curve "closely resembling" that from an aqueous extract of purple
petals (Figure 9). If the purple color were due to a unique purple
pigment, this observed duplication of the “spectral fingerprint“ of
the purple-flowered stock by addition of the fingerprints of the red
and blue stocks would not be expected. Thus, even without the co-
chromatograms of the three stocks (Figure 5), the purple celor of
27
Figure 9. Simulation of purple spectral "fingerprintf.
Simulated "purple" absorption curve derived from mathematical
addition of the curves obtained by macrospectrophotometry (Beckman
DBG) of non-acidified aqueous extracts prepared using equal numbers
of petals from blue-flowered 1, clone 02 and its red-flowered progeny.
Absorbance
mum]
kdnn
nah“
d WOW
Absorbance
28
0.8 P
p
0.6 -
",Sum of blue + red curves
= simulated purple curve
0.4 _ Ira", Blue, Clone 02
I
I
I
I
I ," \
\o"\
I
I
0.2 - Red, progeny
;/ of Clone 02
I
O o - j L l
450 500 550 600 650 700
Wavelength, nm
Figure 9
the _T_. I
presence
W
In
the pure
informer
of T. hi
progeny.
measure
applicah
Non
are near
similar '
he“ as 3
Out trac‘
respectih
afGretneni
Chromatog
amounts 0
only M
sufficien.
or area m
Spectra} c
29
the I, hirsuticaulis stock can be assigned to the simultaneous
presence of both red and blue pigments in approximately equal amounts.
Purple pigmentation: quantitative nature.
In addition to showing the probable anthocyanin composition of
the purple-flowered stock, the spectrophotometric data also provide‘
informatiOn on the total amounts of pigment produced by purple flowers
of'l} hisuticaulis and blue or red flowers of 1, clone 02 and its
progeny.- Maximum absorbance can be used to_givea rough quantitative
measure of anthocyanin content (50); this has been demonstrated as
applicable to these stocks of Tradescantia (88).
Non-acidified aqueous extracts of equal numbers of petals (which
are nearly matched for size, Table 1) from blue and red flowers exhibit
similar levels of maximum absorbance (see Figure 10 as an example) as
well as similar total area under the spectral curve. (Heights of cut-
out tracings of spectralcurves, 700-450nm. are 0.56 and 0.55 g,
respectively; for red and blue extracts.) These results agree with
afbrementioned estimates, based on visual intensity and spot size in
chromatograms,.that blue and red flowers contain approximately equal
amounts of delphinin and cyanin,.respectively. However. extraction of
only half as many (or fewer) petals of the purple I, hirsuticaulis is
sufficient to give a comparable maximum absorbance value (Figure 10)
or area under the spectral curve. (Height of cut-out tracing of
spectral curve,.700-450nm, is 0.66 g, for purple extract ) even
Table
imag
that
hheig
c
Dens
30
Table l. Petal area. weight, and density of purple 13 hirsuticaulis,
blue 1} clone 02 and its red segregant,.S-62.
Stock Areaa Heightb Densityc
purple l.l7‘ 0.0193 0.0164
blue l.36 0.0208 0.0l53 ‘
red l.33 0.02l2 0.0l59
aArea determined by the weights of a cut-out tracing of the projected
image of'a water-mounted. flattened petal of each stock relative to'
that of-a similarly projected 1 cm2.
bHeight 8 average fresh weights of two petals of each stock
cDensity # Height/Area
31
Figure l0. Spectral comparison of pigment intensity.
Absorption curves obtained by macrospecrophotometry of non-
acidified aqueous extracts prepared from equal numbers of petals from
blue-flowered 1} clone 02 and its red-flowered progeny, and half as
many petals from purple-flowered I, hirsuticaulis. The spectrophoto-
meter was a Beckman DBG.
Absorbance
32
Purple, 1. hirsuticaulis,
6 petals
Absorbance
0.0
Blue, Clone 02,
12 petals
0.0
I Red, progeny of Clone 02,
12 petals
0 0 , ‘* ‘ 1 J
450 500 550 600 650 700
Wavelength, nm
Figure l0
A _ ._ _
though t
and dens
(Table l
M
of thesr
culture
the for
Th
33
though the petalsof I,-hirsuticaulis are comparable in size, weight,
and density to those of red and blue flowered 1, clone 02 and progeny
(Table l). The latter implies that theflowers of purple I.
hirsuticaulis contain twice as much anthocyanin.as flowers from 1,
clone 02 or its progeny, and explains why the red and blue flowers
of these latter match the lighter, "/l“, tones of the Royal Horti-
cultural Society Colour Chart (RHC) (52) while the purple flowers of"
the former match the "full" tone (29,88).
The co-chromatograms (Figure 5) show parity in size of the cyanin.
spots between the red and purple stocks, as well as parity in size of
the delphinin spots between the blue and purple stocks. Equal amounts
of extracts from equal numbers of petals of the three stocks:were
applied to the chromatogram; the purple stock, then, must have as much
blue pigment as the blue stock agg_as much red pigment as the red
stock, a total amount twice as much,g§_either stock...Therefore, any
proposed genotype for the diploid (75), purpleéflowered. I,
hirsuticaulis_ must.take into account a phenotype that differs from
both the blue and red phenotypes of diploid I, clone 02 and its pro-
geny, not only in regard to the kinds and proportions of anthocyanin.
pigment.produced, but also with respect to the total amount of pigment
synthesized in each cell.
34
(Erlet'i cs of flower color in Iradgsgggtig .
Vihile the inheritance of flower color has been established for
many plant species (sunmarized by Paris gill: l06), a: very little is
known about flower color in the genus Tradescantia; it is of minor
horticultural importance (e.g., the cultivars Iris Pritchard and
Purple Dome), despite its extensive use forlcytological studies (e.g.,
67*- - 121). Anderson and Diehl (4) suggested that blue flowercolor-
"as probably inherited, in diploids, as a simple Mendelian-factor
“dominant" to both red and white, or, in tetraploids, as a co-
dOminant. Their interpretation stemed from observations of discrete
(b1 ue, red, white) classes of flower colOr in populations of diploid
mdescantia and a more continuous range of colors including inter-
mediate tones observed in a tetraploid population of I. ‘reflexa.
(As yet unpublished observations of Mericle and Mericle on Tradescantia
lbopulations in Texas and Colorado, however, reveal that diploid
populations of atleast five species exhibit "intermediate" colors.)
A. H. Sparrow's group at Brookhaven National Laboratory inferred
that the diploid, blue-flowered 1, clone 02 was heterozygous for
flower color from the observation that red-colored somatic sectors
arose in petals and stamen hairs, just as mutant sectors arose in the
petals of heterozygous Antirrhinum (32); these red-celled sectors
were interpreted as results of mutations from a dominant blue allele
to a recessive red allele (l00). Subsequent chemogenetic studies by
Mericle and Mericle (79,82); have established that _l_'_. ‘clone 02 is blue
flowe
factb
visua
paTET
by tl
(D'D'
radi.
segr
to S;
than
to tl
stbcl
by cl
to be
C‘C'
93 or
t0 be
a dun
E is:-
phinfc
”esiec
’-
.3"
_J
-1
I -
35
flowered due to the presence, in single dose, of a dominant genetic
factor, 0+..which gives delphinidin production.
Indeed, D+ behaves as a completely dominant Mendelian factor: no
visual or spectrophotometric differences are apparent between the
parent, 0+0', plant and its 0+0+ progeny. The latter are recognized
by the fact that their flowersdo not show the typical, occasional red
(D'D') mutant sectors, even following relatively high levels of
radiation (79,82). Those progeny from selfing I, clOne 02 which.
segregate for-the absence of this D+ factor, D'D', lack the capability
to synthesize delphinidin. They are found to be red-flowered, rather
than white-flowered, because they can produce cyanidin, presumably due
to the presence of another genetic factor, 0+. As both 0+0" and-0+D+
stocks, however, produce similar, small amounts of cyanidin, revealed.
by chromatography of floral extracts (79), the C+ factor is indicated
to be at a different locus and not simply an allelomorph of 0+. No
C'C' (white-flowered) plants have been recovered fromselfing I, glogg_
Qg_or various red x red intercrosses; clone 02 is therefore presumed
to be homozygous C+C+ (88). While blue flower color might appear as
a dominant.to red flower color, the production of delphinidin is
e istatic, not dominant, to the production of cyanidin.-
In purplesflowered I, hirsuticaulis, the genes producing del-
phinidin and cyanidin are not epistatic and incompletely hypostatic,
respectively, but rather, isostatic. It is not that the D+ allele in
I, hirsuticaulis has noepistatic capacity. As will be shown later,
Perha
dbnir
glycc
CG-dc
donir
duces
by th
Wears
36
occasional, mutant, blue cells in the stamen hairs have absorption
spectra identical to those of cells in blue-flowered I,'clone'02, i.e.,
containing mostly delphinin with_traces of cyanin. Perhaps I,
hirsuticaulis has a genetic factor that specifically releases the
epistatic suppression of C+ in the presence of 0+, or, perhaps the
stock carries an allelomorph of C+ insensitive to the action of 0+.
As the purple flower color in I, hirsuticaulis is the result of the
enhancement of the trace of cyanidin produced in other D+ bearing
stocks, or the release of the gpistatic suppression of 6+ in they
presence of 0+, the genetic factor responsible is given the tentative
designation gf (29.83.88).
The action of E+most likely has a simple molecular explanation,
perhaps similar to the molecular basis elucidated for the order of
dominance in an allelomorphic series at a locus responsible for the
glycosylation of flavones in Melandrium (l9,20,2l,23,24) and a variant,
co-dominant, allele at that locus (22). In Melandrium, the completely
dominant allele, 96, which gives glucosylation of the flavones, pro-
duces an enzyme with a Vmax ten-fold greater than the enzyme produced
x, which gives xylosylation of the flavone.r In the
heterozygote, gng, both enzymes are present in equal amounts; however,
by the allele 9
the enzymewith the higher Vmax consumes all the available flavone,
the common precursor, before the other enzyme can form detectable
amounts of xylosylated product. In one plant, however, the genes
G X'
appeared to be co-dominant; the heterozygote, g g , produced equal
37
amounts .of‘glycosylated and xylosylated fl'avone. The gXI allele pro-
duced an enzyme whose Vmax was similar to that of the enzyme from the
96 allele, and some ten-fold greater than the enzyme from the 9x
allele. The "bottom" recessive, the 9 allele, was found to produce an
6 allele.
enzyme with 6% of the glucosylating activity of the g
The allele E+ in I, hirsuticaulis may well prove to be C+',an
allele of C+,which codes for an enzyme molecule which is insensitive
to feedback inhibition by delphinidin,.has a higher Km,.or exhibits a
higherrvmax (to give-three likely possibilities). If this were so,~
stocks such.as D+D+C+'C+ and olo‘c+'c+' could be obtained through.
apprOpriate breeding schemes. "If the C+' enzyme had; for example, a
Vmax comparable to therD+ enzyme, while the C+ enzyme did*not, then the'
first named stock would have bluedpurple-flowers. While the‘c+ enzyme,
with its low vmax’ would produce littleproduct, the enzymes from the
two 0+ and one C+' alleles would compete equally well for the common
substrate, giving, finally, delphinidin and cyanidin in‘a 2:l ratio,
and a flower color intermediate between purple and blue. As will be
mentioned later. a blue-purple flowered stock has been obtained; its
spectrum and that of a mixture of aqueous extracts of blue 1, clone 02
and of'a red-segregant in proportions of 2:1 are remarkably similar
(Figure l3d).
The other stock o+o'c+'c+', by a} similarcompetition of enzymes
from one 0+ and two C+' alleles would have red-purple flowers. Such
a plant has not yet appeared among the very small number of progeny
deri
Cont
desc
Eric
tron
Stuc
stuc
self
Alth
his
desc
base
the:
the
sari
38
derived from breeding experiments with I, hirsuticaulis materials.
Continued breeding and biochemical studies will-be needed to completely
describe the nature of the E+ factor.
Prediction of flower color genotype by somatic cell analyses.-
Hhile Anderson and Diehl maintain that Tradescantia "grows (easily
from seeds"-(4), that has not been the experience in previous genetiC*
studieSon Tradescantia by Mericle and Mericle (79,82). In these
studies, however, the plants being utilized, ]}'clone02, were at least
self-fertile, whereas the purple Ig‘hirsuticaulis is selfasterile.
Althougthrs-A.'H. Sparrow kindly offered a blueéflowered I,
hirsulticaulis for my use in making crosses, subsequent examination of-
his collection revealed that the stock plant had died (98). Thus, as
described below, elucidation of the genotype of the purple stock is
based on its capacity to produce somatic sectors and on the pigment'
chemistry of those sectors. As will be shown later in this Section,
the rare progeny which have been obtained to date from an extensive
series of~self-pollinations fully support the postulated genotype.
When stamenrhairs and petals of the purple-flowered stock of I,
hirSuticaulisare examined under the same conditions used in this
laboratory for mutation scoring of 1, clone 02 (76,81), occasional,
non—purple cells are seen. As with 1, clone 02, exposure of this
purpledflowered~stock to ionizing radiation increases the frequency
of these "mutant sectors" -- a subject which will be treated in more
39
deta‘l 1 in Section II of this dissertation.
Some of these non-purple mutant cells are red. Microspectrophoto-
metry of individual, living, red mutant cells in stamen.hairs of the
Purp'l e stock yields absorption curves identical with those of both red
mutant cells from the blue ]'_. clone 02 and non-mutant cells of its red-
f‘l owered progeny (Figure ll). Since the latter are known from breed-
ing experiments to be 0'0' and to have only cyanidin as their antho-
cyaninpigment. an assignment of the same cellular pigmentation and
genotype is made for the red-mutant cells in the purple flowers, as
Was done for their counterparts in the blue Licl-one'oz (79,82).
Therefore. as 1111. 'clOne 02, the purple I.-‘hi.rsuticaul is must have a
_ genotype of n+0“.
The genotype of I. hirsuticaulis differs fromthat of 1. clone 02,
however, 'by the presence of E+ in the former.. As was described above,
the E+ factor, whatever its molecular nature, affects the final pheno-
type by allowing the cells to synthesize, in addition to the "unit"
atlhount of delphinidin produced in blue 1. clone 02 cells, an additional
"unit" of cyanidin, rather than simply a trace. This results in both
an overall purple color and pigmentation that istwice‘as intense.
The procedure for determining whether the stock is heterozygous
or homozygous for the E+ allele follows that outlined above for the D+
allele; a stock that is E+E' is expected to produce occasional E'E'
mutant cells -- these cells being blue in color, as they contain a 0+
allele at the o locus.
40
Figure ll.- Spectral "fingerprints" of red cells in several stocks.
Absorption curves obtained by microspectrophotometry of
individual, living stamen hair cells consisting of red mutant cells
from blue-flowered 1, clone 02 and purple-flowered’Ig'hirsuticaulis,I
and non-mutant red cells from 1, clone 02‘s red-flowered progeny.-
From "plug" measurements uncorrected for cell size or pigment‘
concentrations, measured with a Zeiss Ol microspectrophotometer.
Absorbance
41
0.3 )-
Clone 02
0.6 -
.I. hirsuticaulis
‘ Red progeny
V of Clone 02
0.4
0.2
/ \
0., . . . \ .
450 500 550 600 650 700
Wavelength, nm
Figure ll
42
Indeed, others of the aforementioned non-purple mutant cells 33g.
blue. Microspectrophotometry of individual, living, blue mutant cells
in stamen hairs of the purple I, hirsuticaulis yields absorption curves
identical to those found for non-mutant cells of the blue 1, clone 02
(Figure 12). Therefore, the purple stock is assigned a genotype of L
E+E'. i “"
Additional analyses of the sectoring data in purple I, i
hirsuticaulis, presented more appropriately in Section II of this #1
dissertation, leads to the conclusions that the D and E loci are linked,
that the D locus is the more distal, and that 0+ and Ef are in a re-
pulsed (trans) configuration.
Results of breeding;studies
Although the purple stock typically sets no seed after self-
pollination, persistence in making self-pollinationsihas led to the
production of 22 seeds*, of which five have germinated over a period
of three years and survived to flowering. One additional seedling was
inadvertently lost. Although these data are certainly not "extensive",
they do confirm some of the conclusions reached through analyses of
somatic sectoring in the purple stock. If the purple stock is indeed
D+E'/D'E+, progeny obtained from self—fertilization should form nine
* It should be noted that these seeds are assumed to contain embryos
which are the results of the sexual process; at present, I have no way
of determining whether some -- or all -- of them might have arisen via
some apomictic process.
43
Figure l2. Spectral "fingerprints" of blue cells in several stocks.
Absorption curves obtained by microspectrophotometry of
individual living stamen hair cells consisting of blue mutant cells
from purple-flowered I, hirsuticaulis and non-mutant blue cells from
blue-flowered 1, clone 02. From "plug" measurements uncorrected for
cell size or pigment concentration, measured with a Leitz MPV-l
micrOSpectrophotometer.
44
0.8 l
0.6 ~
I. hirsuticaulis
Q)
0
fl
.8
x... 0.4 '-
O
m
.0
<
P Clone 02
0.2 -
/ \
0.0 1 1 1 1
450 500 550 600 650 700
Wavelength, nm
Figure 12
45
genotypic classes (Table 2). The red-sectoring capability of 0+0"
stocks would permit the separate identification of some genotypes
having identical phenotypes, e.g., purpleeflowered,’ ‘D+D+E+E’+_ and
D+D-E+E', stocks or blue-flowered, D+D+E'E' and 0+0'E'E', stocks.
It was originally (88) prOposed that D+D=E+IE+ and 0+0+EfEf progeny
might be purple-flowered as well, but identifiableby their ability to
sector either red or blue, respectively, but not both types of mutant
cells; I am now proposing that these two genotypes producereda—purple
and blue-purple flower color, respectively, identifiablewithout
recourse to an analysis of their distinctive sectoring capabilities.
The phenotypic characteristics of the five progeny plants.are
presented in Table .3 with their flower colors recorded as spectral
fingerprints in Figure 13. The flowers of those plants listed as red-
flowered in Table 3, S-1, S-2, and S-4, have visible absorption spectra
very similar to red progeny of 1. clone 02 (Figure 13a). The plant
recorded as purple-flowered in Table 3, S-5, exhibits a spectral curve
very similar to the purple parent (Figure 13b). In contrast, plant
5'3.‘ scored as blue-purple-flowered* in Table 3,’ exhibits a spectral
* This blue-purple plant was originally scored as being blue-flowered,
lts flower matching the RHC #41/1. Subsequently, it was recorded as
ing "purpl e", no notation of a match'to the Colour Chart being made.
there was a possibility that the plant had somatically sectored,
Yielding two'distinctly pigmented plants, it was subdivided into 5'
Parts. All parts have now bloomed; all produce flowers blue-purple in
COlor, matching RHC #39/1- The matchto RHC #38/0 is also very good.
In some lights, the flowers of S-3 matchtRl-IC #40/1.’ Indeed, there are
my small, (but significant), differences in the spectral fingerprints
”Purple, bl ue-purple and blue pigments. The original .and second
(continued page 46)
46
curve-(Figure r313d) intermediate between'that of rpurpleeflowered stocks
(Figure 13b) and blue-flowered _T_. clone 02 (Figure 13c). The shoulder
c>r1 the S-3 curve at 626 nm is larger than the similar shoulder on
purple curves at 630 mi, and smaller than the peak at 614 nm in the
b1 ue spectral curve; the main peak of [the S-3 curve at 582 -nm is inter-
mediate between the ‘586nmpeak of purple stocks and the 576 nm peak of
the blue stock. It is, as noted earlier, very similar to the spectral
fingerprint of a mixture of‘delphinidin and cyanidin extracts in propor-
tions of 2:1, even thoughxthis latter curve was from a Beckman'DBG
spectrophotometer while the otherfingerprints discussed here were from
a Cary 15 -spectrophotometer(Figure l3d).
That red, .D'D'. Progeny were produced from selfing l. hirsuticaulis
confirms the heterozygosity of‘the purple parent at the D locus. It
has also been advanced (88) that red progeny might fall into two inten-
sity clasSes, "/0" and "ll"; however, RHC notations for S-l, 5-2, and
8-4 are either "/1" or "[3" (Table 3). Quantitative spectrophotometry
Suggests this latter difference may well be a result of differences in
cell size, not in amount of pigment per cell. Thus, the E locus, in,
these 'plantsat least seems to have no effect on cyanidin production,
13 the absence 912:.
_‘
notations are both thought to be errors due to the inability at these
times to compare the flower color not only to the Colour Chart, but
also to flowers of the other, intermittently blooming, I.
"hirsuticaulis stocks.
«tied U.«~CL1V ..w — Pas-...J v d I 3.0. . .... - F can»... 333 Feb Int 91!. :1 k 0 n»: — 3.9.6.55: . .EQLL Uiefl Unezxw \Aflamvhweural irN riv~ nurse
47
mcouumm 0: p o P -mumiaio nwm
28.8w 2. P o _ PP: as.
maouomm o: P o P +m+uiowo emu
ems woman P F imiuio+n aspm
maopumm o: mums» p p nutm+a+o mapm
«Pagan .ospa _ N m._ -m+w+o+o «Paganimapm
opacaa .ums N — m.p +m+uio+a mpaazaiumm
wapn .ume F P N -u+mio+o mpnaaa
meouumm o: F P N +m+meo+o a—agzm
ceupccmwncevvcvcnemo.. _ucoemwmpmuoh
288m 233.. . enteewmnwafijtuessofigcemw «mag g
..-m+mio+o mazuoeom
umuovumgav mvpamoeuamgwc_mm vesmzopmim—asza co acetamgncv ease emuuoaxe acmmogm .N «Peak
u L.‘
131;”
I—l
.
|.:r
H
M“:
48‘
Table 3. Progeny obtained from self-pollination of purple
I} hirsuticaulis.
QQQ§_ QQLQB. Bflgf_ SPECTRUM RED-SECTORING
P purple 37/0 Figure 13b 0.15/stamen (430/2780)
S-5 purple 37/0 Figure 13b . 0.14/stamen (5/36)
S-l red 34/3' Figure 13a. ---
S-2. red ' 33/l Figure 13a ---
S-4 red 34/3 Figure 13a ---
s-3 blue-purple 39/1 figure 13d ‘ 0.00/stamen (1/233)a
,—,‘A_", _-
aThe one sector is thought to have arisen via a gene mutation early
in floral development, giving a large 0+0" sector, within which a
sector-producing mitotic crossover occurred.
RHC = Royal Horticultural Society Colour Chart (52).
49
Figure 13. Spectral "fingerprints" of progeny from purple I,
hirsuticaulis compared to those of blue, red and purple stocks.
All curves are of non-acidified aqueous extracts of petals.
a) Spectral curves of a red segregant from 1, clone 02, and
the three red-flowered progeny from the parental purple I,
hirsuticaulis, S-l, S-2, S-4.
b) Spectral curves of the parental purple plant, P, and a
purple-flowered offspring, S-5.
c) Spectral curve of blue-flowered 1, clone 02.
d) Spectral curve of S-3, an offspring of purple I, hirsuticaulis
having blue-purple flower color, and of a 2:1 mixture of aqueous
extracts of blue-flowered I, clone 02 and one of its red progeny. This
latter curve was obtained with a Beckman 086 spectrophotometer, all
others, with a Cary 15.
50
,4
IlLfl‘leleJIvnq .
fife?
.................................
soon
.. OVn
... .os
Red. segregant
of Clone 03
' - -.- - - - ' - - - -.-.',-i.o-.'e---.-n o'u .-e-v-e-e-a‘c'nl
eoaenuoea<
- ' ' ' -.- -.-.-v'd -u-.-0-l-a'4-n-.| 0-.
O
eonenuoenc
wavelength, n-
23
. \\nmwmflww;sit.tono
In .lv. .|.I.'.l-.al.|.nv.l.l.l..l.|.I.|.|.- ["8
5-3
.. .I.-. '.'.I.|.I.I.al.|,.l.'.l.'..ls' I‘Vn
IIIII .I. .i.I.i.i lilo;
oonenuooa<
l I.l.l.l.l.l.l.l.|.l.l.l.l.l.l.l.l.L IV—O
I I.I.I.l.l.l.l.i.l.l.l.l.|.l.l.l.I.I.I.I.i.l.l.ill1 Gun
- al.'.'.'..l.l.'.'.'.4.'.|.'.'.'.-.l.-.a 3N3
OOQIAAOIA<
Wavelength, nm
Wavelength, on
Figure 13
ein'
e.
6!
1
Cu. .
IFLI All
- e I nflu firi- Pub 0 v as me ‘I. Al. I i . 1-
y Ar U n V .\4 In r (Inf P e u .1 t I l e. i. PT A&.\ at v f. a
id 0 it] A v 7. «AN Fit 5‘ q Fr Al» 4 AU h “2! E An... A u
I A . H e. i 1‘ .e Avie I I a! n 9 | rid Ill! 0. Fri L h\v S P N I
51
While no blue, E'E', plants have yet been recovered to directly
confirm the E+E' composition of the purple parent, the existence of a
blue-purple progeny still confirms the heterozygous E locus in the '
purple parent. If the purple parent were E+E+, then only three geno-
types would be expected amongst its progeny: D+D+E+E+, purple,
D+D'E+E+, red:purple, and D'D'E+E+, red. A plant with blue-purple
flowers is expected only from interaction of two doses of 0+ with one
dose of E+. It follows then, that the blue—purple progeny is heter-
ozygous at the E locus, and, barring gene mutation, so is the purple
parental‘stock.‘
Blue-purple flowers, predicted as having a funitf of delphinidin
and half a unit of cyanidin, are expected to be less intensely pig—
mented than purple flowers with their two units of pigment, but more
intensely pigmented than either red or blue flowers with their one
unit of pigment. While 5-3 is recorded as RHC #39/1, it is, however,
noticeably more intense than the blue 1, clone 02, recorded as RHC
#4111.(79). The Colour Chart was not a perfect match for either flower
color.
The purple-flowered offspring, S-5, is closely similar to the
purple parent. Flowers of both match RHC #37/0. They have identical
spectral fingerprints and a red-mutant sectoring rate of 0.14 and 0.15
sectors per stamen, respectively (Table 3). These characters, then,
certainly seem to be heritable through the germ line (but see footnote,
page 42).
rot e.
at th
Secti'
cellu
ié'ei
52
Five progeny plants do not permit calculation of an.accurate
meiotic map. It is possible to show, however, that,.while these five
plants are not at variance with a hypothesis of independent assortment*
of the D and E loci, neither are they at variance with the hypothesis
of linkage between D and E to the extent (12.1 centimorgans) calculated
mitotically in Section III of this dissertation (Table 4). .
0n the basis of either hypothesis, there is an excess of red
progeny reCovered, exactly contrary to the case inbreeding results i-‘
from selfing.I, clone 02 (79,82). At present, the breeding data are
not extensive-enough to permit interpretation, although some aspects
of the haplontic/diplontic-selection questionfi will be discussed in
SectionII of this dissertation during a consideration of sizes and
cellular genotypes of the various mutant somatic sectors in the
parental purple I, hirsuticaulis stock.-
Extensive self-pollination of the "self-sterile" purple stock only
yielded 22 seeds over a two year period. I hoped that some of the five
progeny produced from 19 seeds put to germinate? would prove to cross
readily with their parent. In addition, a cross to one of the three
red progeny might be a testcross, i.e., D+D-E+E' purple x D'D'E'E' red;
in any event, such crosses would reveal the E locus composition of the
various red progeny. It was found, however, that the cross S-4 x P
gave no seed set. In contrast, S-l x ngave abundant seed set, an
average of 3.32 (156/47) seeds per capsule, similar to the value re-
ported by-Anderson and Sax (5) for intracrosses with four species of
53
Table 4. Testing linkage of D and E loci in I,'hirsuticaulis.
EXPECTED NUMBERS
PHENOTYPE GENOTYPE g,
D-E'_>_.'0.50a
purple,n.s. D+D+E+E+ 0 0.3125
purple D+D'E+E' 1 1.2500
blue-purple D+D+E+E' 1 0.6250
red-purple D+D'E+E+ 0 0.6250
blue,n.s. 0+0+E‘E‘ 0 0.3125
blue 0+0'E'E' 0 0.6250
o'o'c’h:+
red 0'0‘E+E' 3 1.2500
D'D'E'E’
calculated X2, 6 d.f. 4.60
0.25
0.05
aRed/blue twin sectors comprised of’a single red and a single blue
sector within the hair were used for the analysis.
bThe subtotals comprise sectors from the following experiments
A, Spontaneous, 34 R-preresponse and 60 R-preresponse,
B. 34 R-response,.
C. 60 R-response,
D, 34 R-postresponse and 60 R-postresponse.
cwith or without non-mutant, purple cells separating the red and the
blue sector in the hair.
67
Figure 15. A schematic stamen.
A schematic depiction of a stamen with red and blue mutant sectors
distributed amongst its hairs to illustrate pair-by-pair analysis.
The crosshatched areas represent blue mutant cells, the stipled areas,
red mutant cells. All other cells are understood to be purple. This
stamen, then, has one red-blue pair in the sgmg_hair, and three red-blue
pairs involving sectors in different hairs, a §,g_ratio of 1:3.
68
. -7////7..
.... .
eeeoo ....
32:: .....
CC...
Figure 15
69
events in stamens containing some 54.5 (30) to 55.4 (Table 21)-hairs
would be expected to result in a same:different (3:1) ratio of 1:53.15
- 54.4; instead. the _s_:g_ ratios found were 94:42, 71:83, and 109:193;
forspontaneous '(0 R) and responses to 34' R and-1‘60 R 60Co irradiation,
respective1y(Table.9).* 5&1; of these, ratios is~very significantly
different, (p < 0.001), from that expected on the “basis of random
association.
It.might be argued that either a red— or blue-sector-producing
event maderthe other more likely, (_i_.g_., facilitatedits occurrence)-
Sucii would account for the demonstrated non-random distribution ofv
sectors without supposing that red and blue sectors in the 'same hair
were the result of a single event. The mostextreme casenwould be that
of a red or a blue event rgguiring the other to occur at the next-cell
division. However, as a consequence of the random segregation of
mitotic-chromosomes at that division, at most only 50% of the hairs
containing both a red and a blue sector could have those sectors with-
out an intervening purple cell. Yet 89% (304/343, Table 8) of those
lHStances in which a red and a blue sector occurred in the same hair
were without an intervening purple cell: This 89% value is very
significantiy different (p < 0.001) from 50%. I interpret this to
mean that red and blue sectors occurring in‘a single hair constitute
a Mblue twin spot (r/btflg), i.e., each such twin spotydoes indeed
constitute a single entity -- the result of gge_initiating event'
which is distinct from those events that produce red-only (59) or
70
Table 9. Red/blue twin sectors: Pair-by-pair analysis of all stamens
with red and blue mutant sectors.
experiment numbers calculated value X2 P
Samea Differentb
5/72 Spontaneous 75 36
10/72 Spontaneous 7 3 homogeneity 1 .6037 > 0.500
6/72 33 R-preresponse 3 0 vs. 1:53.5 3411.6 < 0.001
10/72 34 R-preresponse 9 3 vs. l:54.4 3483.8 < 0.001
0 R. TOTAL 94 42
6/ 72 33 R-response 46 60 homogeneity 1.0245 > 0.750
10/72 34'R-response 25 23 vs. 1:53.5 1672.8 0.90.
The data in Table 10 do show a significant difference between the'
red and blue component in the manner of being the more terminal
component of the twin. Red components most often encompass the terminal
73
Table 10. Red/blue twin sectors: Orientation of red and blue component
in the hair.
_T_i ME. Mel
Red 127 79 206
Blue 63 120 183
Total‘ 190 199 389
aT, the mutant sector encompasses the terminal cell of the hair.
bMT,‘the mutant sector is merely more terminal within the hair; it
does not encompass the terminal cell of the hair.
74
cell when they are the more terminal constituent of the twin spot;
blue components do not (Table 10). Statistically, the difference in
the behavior of the two is highly significant; the X2 value with 1
degree of freedom is 28.79, p < 0.005. The biological significance
of this is unknown at the present time.
There might be a tendency for the blue component to be more
terminal after a mitosis with a red/blue mutant event when that
I E ’. .-
V1
mitosis is in a subterminal cell, and a corresponding tendency for the 1,.e.
red component to be the terminal daughter cell when the mutant division
is in a terminal cell. Non-random, preferential segre-
gation of chromosomes ha§_been observed in certain special, meiotic,
cases, i.e., heteromorphic chromosomes (114), "affinity" loci (41),
however, it seems most prudent simply to point out this curious situa-
tion in the r/b twin sectors and venture no explanations until some
further experiments are designed and completed.
Sector sizes.
The above is not the only curious phenomenon that involves the
red and blue components of the twin spot. An analysis of the number
of cells comprising the red and blue components of twin spots, red-only
sectors and blue-only sectors is presented in Table 11. The effect of
75
IE.
:sz wspgmwmc we pcmcoaemw
szn n.m\u.n .cwzp mapn\cms mo newcoQEou cm; n.m\u.a .xpcoiszn n on .xpcoiemc
no...
.maavmuoca mmcmm mFQPppsz m.:mu==o mcwms Amo.o A av cmcpo
zoom Eon» pcmcmwe_u mFocmowewcmwm pee mew mew? mEom one >3 empomccoo mcmme esp >c<
I b ilbl » P D D
Pe.m Ne.m em.m ma.N aa.N FN.N mm.N Ne.N NN.N ee.~ mm.~ em._ m_Foo e see:
o co em em 0 am om cm 0 an o cm
3 mm... mu... 8 mm... mm... mm... mm...
amok cocoa mpawupaz m.:muc:o An
eoeoeeeem
copoo
mm.m mm.momm Nemp Lotto
Po.o v cm.eN ,No.Nmp Fe.Nm~ m m x m
Po.o v mN.Ne om.NNN Fm.mmm .m mama gouomm
o~.o A _P.N mm.p— mm.NN N coppmwumm
NN.womm mmmp Pouch
a m .m.e .m.m ..e.v muczom
mucmvao> yo mpmapec< Am
.mmpzmuvusmawz mm cm mcouoow,crmc.ucvueorcoc .opqpupaeicoc mo moNPm .Fp epoch
76
"radiation"* on the average size of sectors is found to be non-
significant, the calculated value of F2 1542 = 2.11, p < 0.20. The
small number of buds per inflorescence in I, hirsuticaulis mentioned
earlier is reflected in the relatively short time elapsing between the
initiation and completion of stamen hair development, paralleling the
behavior of old inflorescences in I, clone 02 (82); this is evidenced
by the appearance of many entire-hair sectors only 5 to 7 days after
6000 irradiation (Figure
the initial rise in mutation rate elicited by
16, Table 12). Thus the first 7 days of increased sectoring rate taken
as the radiation response period in these experiments encompasses
essentially the entire ontogenesis of the stamen hairs, which is, of
course, the same period over which spontaneous sectors are induced.
The R x 5 interaction (Table 11a) is found to be significant,
the calculated value of F6,1542 = 24.50, p < 0.01. I can detect no
pattern in this interaction (Table 11b). The mean size of 34 R and
60 R b9, 0 R and 34 R r9, 0 R and 60 R b,r/b, and 34 R and 60 R r,r/b_
sectors are not significantly different from each other (p > 0.05) by
Duncan's Multiple Range Test: that list includes all the possible
pairings of radiation exposures. (This is not unexpected since, for
example, if all four had 34 R and 60 R means non-significant from each
*This is not a measure of the effect of radiation, per_§e, but of the
selection of sectors from seven days of the response curve; i.e., the
radiation-induced sectors on the first days are smaller in size than
those on later days. See Table 12 for data in Tradescantia hirsuti-
caulis. ‘
77
Figure 16. Mutation response curves.
The average frequency of red-only sectors at various times before
and after the radiation-induced rise in mutation rate. Raw datarare
found in Table 12.
78
mezmzzmexw m cm Emlllml
om+
e_ mesmea
mpszmwaxm m 3m 10111.1
mmzoammx o<~e_z_ -emom az< imam m>7‘ 108 10/ 41 3 2 6 2 2/10 1
60 R experiments
pre 354 48/106 1 4 1 38 3 4/28 1
1 54 38/ 90 4 17 2
2 42 30/ 64 1 21 2 2/ 3
3 60 54/119 3 22 5 5/19
4 48 31/ 66 2 19 5 1/ l
5 54 50/102 1 2 29 3 8/19 1
6 36 21/ 90 2 4 13 4 5/16 1
7 36 27/ 74 4 1 11 7 5/31 1
>7 144 44/199 22 7 5 24 10 6/50 2
a = single sectors, b = total number cells, c = entire hair sectors,
d = multiple sectors, 8 = multiple entire hair sectors
80
other, but significant from the 0 R means, the "radiation“ effect in
the analysis of variance would have been significant, not non-
significant.) Neither thetwotypesof red sectors, rg_and r,r/b, nor
the two types of blue sectors, bg_and b,r/b,-show similar patterns of
significance: of means, e.g., 34'R and 60 R'bg_are non-significant,
while 0 R and 60 R b,r/b_are non-significant.
The average sizes of the red components of twins are found to be
larger than those of the blue components (Table 11b). Moreover, it
can be seen that the average sizes of the red components are e5sentially
the same as the average sizes of red-only sectors (Table 11b). 0n the
other hand, the average sizes of the blue-only sectors are significantly
Igrggr_than either the average sizes of red components of [/5 twins or
of red-only sectors,-and, in contrast to the parity in sizes of these
latter, 15'0150 significantly larger than the average sizes of blue
components of r/b_twins (Table 11b).
Part of this is probably due to the difficulty of distinguishing
small blue-only sectors against a background of purple cells. The
distribution of sizes of red-only and blue-only sectors is different,
and statistically distinct, (Table 13); the difference between the two
appears to be a deficiency in observed one- and two-celled blue-only
sectors.1 While it is possible to estimate the number'of one- andtwo-
celled sectors that should have been observed‘1j_they were distributed
egggtly_as are the red-only sectors, this latter cou1d~well be an un-
warranted assumption. The average size of a blue-only sector may well
81
Table 13. Distribution of sizes of non-multiple, non—entire
red-only and blue-only sectors.
Sector 1 2 3 4 5 VI6 7 8 9 10
# 317 211 38 22 16 19 23 15 21 7
Red-only:
% 45 30 5 3. 2 3 3 2 3 1
f 25 11 3 6 6 6 3 3 6 2
Blue-only:
% 32 14 4 8 8 8 4 4. 8 3
Total # H2” 272' 41’ 25 ‘2'2' '25 '26 1'8 '27 _9'
ll 12 13 14 15 16 17‘ Total:
# 8 5 1 1 1 705
Red-only
% 1 1
4' 3 2 2 l 79,
Blue-only
% 4 3 3 1
TotaliiTT—'5'_3'2—T—T_1'784
calculated homogeneity x2. 16 d.f., = 76.05, p < 0.005
82
be truly larger‘than that of‘a red-only, and the distribution.of
sector sizes for the two sector classes really may be.different.
Certainly questions of "detectionf do not apply.to the components of
yg twin spots, yet the average size“ of the red component, here, is al-
most twice as large as the average size-of the b1ue:component.
The discussion above excluded consideration.of entire hair sectors.
A comparison of the number of cells in red-entire, blue-entire, and non-
mutant purple hairs is presented in Table 14. *The'effect of "radiation"
(see f00tnote, page 76) is found to be non-significant; the calculated
F2’567.5 e 2.30. p . 0.20. The R x 0 interaction is significant, the
calculated F4,567.5 = 31.66. p < 0.01, but, as in the analysis of non-
entire hair sectors above. I can distinguish no pattern in the inter-
action (Table 145). The mean sizes of O R and 60'R blue-entires, 0 R
and 34'R non-mutant purple, and both 0 R and 60 R agg_0 R and 34 R red-
entire hair sectors are not significantly different from each other
(p > 0.05) by Duncan's Multiple Range Test.'
The average sizes of red-entire hair sectors are significantly
different from those of blue—entire hair sectors -- the 34 R b1ue-
entire "mean? represents a single observation (Table 14b). When com-
pared with the average length of all-purple hairs, 16.61 to 17.13 cells,
both.red-entire and blue-entire hairs exhibit a substantial and signifi-
cant reductionin length.‘ The 24.1 to 19.3% and 15.4 to 6.9% reduction
in cell number of redsentire and blue-entire hairs, respectively, in I.
hirsuticaulis;is similar to the 18.3 to 18.4%reduction reported by
83
Table 14.' Sizes of non-multiple entire hair sectors and nonemutant
entirehairs in I.- hirsuticaulis.
a) Analysis of Variance
Source 9L s.s m.s. __F___ __p_.
Total 575.5 5110.47' ---
Radiation 2+ 28.71 14.36‘ 2.30 0.20
Colorv 2 759.08- 379.54 60.92 < 0.01
R x c 4 788.98 197.24 31.66 < 0.01
error 567.5 3533.70 6.23
(b) Duncan's Multiple Range Test
:Color R B R R B 8 ' P P P
Radiation 60 34 0 34 0 60 34 60 0
Mean 7 13.00 13.00 13.21 13.40 14.50 14.50, 16.61 (16.69) 17.13
T v r t v I I I
T
fi—
Any two means connected by the same line are not significantly different
from each other (p > O. 05) using Duncan' s Multiple Range procedure. The
mean in.parenthe5es is of'a “missing entry" in the analysis of variance.
#
R a red, 8 - blue, P = purple
84
Mericle and Mericle (79)-for entire-hair sectors in spontaneous and
1.5 - 6.0 R/day irradiated plants of I, clone 02. This phenomenon,‘
the smaller size of entire mutant hairs compared to entire non-mutant
hairs, has been termed floss of reproductive capacity? or "integrity"
(54,79). terms-also used to describe the shortening of‘non-mutant hairs
after exposure to large or very large doses of radiation (3,34,53,55,
100,142,143). Inasmuch as the phenomenon seems to be the result of
meristematic cells of the stamen hair not undergoing as many mitoses in
experimental material as in control material, it seems perhaps more
appropriate to term it loss of "mitotic fitness."
Sparrow and coworkers interpret the deficiency of cells in
"stunted” but typically pigmented hairs from heavily irradiated
Tradescantia material as the result of'a combination of induced mitotic
lag and a temporary lengthening of the mitotic cycle time (53.54.55).
Mericle and Mericle point out additionally that mutggt_hairs. even
those of spontaneous origin show a reduction in average length although
the mitotic fitness of mutant cells does not seem to be sufficiently
depressed to regularly-cause clefts and indentations in mutant petal:
sectors (79). Diplontic selection against genetically red tissue has.
however, been advanced by Mericle and Mericle to explain the deficiency
of red progeny derived from inbreeding the heterozygous I, clone 02
(82). as well as to explain the reduction in the average length of red
entire hairsfin;this materia1“(79582).
If a genetic constitution of D'D'. with a putative associated small
85
homozygous deficiency (82)..has a reduced mitotic fitness, then the
red prggggnyrom the selfing of I, clone 02 should show this same
depression of mitotic fitness and a correspondinglysmall average
length of their stamen hairs. Accordingly, as a.part of the present
study. an analysis was made of the stamen hairs from flowers of S-42
and S—62, the two red progeny from I, clone 02 which remain in this
laboratory's collection; ‘The average length of stamen hairs seems to
be a relatively conservative parameter; average hair length is notv
significantly different even between materials that do show significant
differences in mean number of stamen hairs (Table 21). However,'thei
flowers used for the analysis were. indeed. picked from young. vigorous
inflorescences..thus roughly matching them for age. The results of the
analySis do not support the hypothesis of a smaller average hair length
in red progeny (Table 15). Instead the average hair length of S-42.
18.28't 0.54 cells. and S-62. 23.70'! 0.67 cells, are very significant-
ly different from one another and are both below and above the value of
20.20 t 0.35 cells reported as the average length of blue hairs in I,
clone 02 (79). Seemingly. the mitotic fitness of the.red..0'0', geno-A
type can be modified by other factors in the genome, putative "vitality
geneS" (87).
The chromosomes of Tradescantia are well known to possess many in-
versions, (Swanson. 136); the recombination of chromosomes or chromosome
segments in progeny aS'a result of the sexual.process. or in some
somatic cells as a result of mitotic recombination might well result
‘1‘? 1.4-“? .7"
i
?- 4
86
Table 15. Comparison of stamen hair length (number of cells) in S-42
and S-62. two red-flowered progeny from I, clone 02 inbreeding.
a) Summary of Data
2x 658 856 1514
2x2 12398 20922 33320
n 36 36 72
b) Analysis of Variance
§ggrgg_ ngI_ s s m.s. __I:__ __JL____
Total 71- 1483.9444
Stock 1 678.6111 678.6111 58.99 < 0.001
error 70 805.3333 11.5048
c) Average Hair Lengths
T. clone 02 = 20.20 t 0.35 cells (ref. 79)
S-42 = 18.28 t 0.54 cells. a 9.5% reduction from I, gIgng_
.9;
S-62 = 23.78 . 0.67 cells. a 17.7% increase from I. glgng,
(g;
87
in genotypic differences in Ffitnessf known to accompany different
combinations of inverted chromosomes in many organisms (39).* As
evidence for inversions in these particular stocks, I should like to
point out the high percentages of pollen abortion in these diploid
species. some 39% in I, clOne 02 (128) and 12%**,203/1680. in purple
I, hirsuticaulis, which is well within the range of values-reported by
Swanson (136) for Tradescantia stocks:known to-have-inversions.
Obviously. as their phenotypes differ. the genotypes of red. blue
and purple cells in I, hirsuticaulis are different; as will be explained
later, the cellular genotype of red—only sectors differs from the
cellular genotype of the red components of [/5 twins, D'D'E+E' and
D7D'E+E+. respectively (Figure 18). Similarly. the cellular genotype
of a blue-only sector differs from that of the blue component in a [[9,
twin..D+D'E'E' and D+D+E'E', respectively (Figure 18).
The two types of~red cellular'genotypes,‘D'D'E+E' and D'D'E+E+,
exhibit a similar reduction in."mitotic fitness"; sectors of each have
essentially the same average size (Table 11 ). The cells of both
these sectors are also indicated as being homozygous for the distal
segment.of the chromosome. which is the presumptivelocation of the D'
* Indeed. mitotic crossing-over between chromosomes heterozygous for
small subterminal inversions might well be producing at least some of
the micronuclei associated with spontaneous sectors in I. clone 02 (79,
90) and I. hirsuticaulis (Table 17). That spontaneous sectors are
indeed largely the result of mitotic exchange will be shown later.
**Pollen abortion measured by failure to stain witthZKI (58).'
88
allele. as well as that part of the TradeSCantia chromosome indicated.
to carry-small. inverted~segments (136). Cells of the blue component
of the-r/b twin are also homozygous. butfor the distal segment of the
other,.D+. chromosome tip; As the two kinds of red cells do not-differ
significantly in mitotic fitness (Table 11 ). the:morefproxima1 seg-
ment of the chromosome is indicated as having*relatively little, or
only secondarily, important effect on mitotic fitness. 'On the other
hand. entire blue hairs. 0+0'E'E', gre_seen to be significantly
shorter, by 2.68 cells. than non-mutant hairs, 0+07E+E', (Table 14 ).
although they are significantly longer. 1.08 cells. than entire red-
hairs,-D'D'E+E7. This seems to indicate that the proximal segment of
thechromosome effects mitotic fitness almost as much as the distal
segment.
Suchicontraeindications lead to no firm conclusions.» A complete
underStanding of the various sector sizes must await further observa-
tions and experimehtsron both somatic sectors and progeny of this
purple I, hirsuticaulis. As was mentioned in Section I. in contrast
to the-.breedingresults with’I. c1one 0209.82). at present, the red
progeny-plants.of I, hirsuticaulis appear to be diplontically selected
IQE:
Mechanisms :of ' sector production. . _ .
The discovery of “twin spots".in'Tradescantiafihirsuticaulis‘
immediately suggestsmitoticcrossingéoverras a mechanism of sectoring
89
/
in Tradescantia. Mitotic-crossing-over was advanced as aitheoretical
possibility by Mericle and Mericle (79). Until recently. no one.could
disagree with Sinnott.and Dunn.(125)who. after describing somatic.
crossingaover~in Drosophila. went on to say.
"Somatic crossing over has not been demonstratedtin other
organisms, although in maize Jones (61) has found neigh-
boring‘spots'of‘different‘genetiC'constitution“in'the
aleurone and endosperm:' Some of these appear to be due
to exchanges between homologous chromosomes; but whether
these occur by crossing over or by some other mechanism
is not certain;"
Recent reports of genetic and cytogenetic characterization of'
somatic sectors in cotton (15) and tobacco (27)1eave no doubt but
that somatic exchange between homeologues and homologues, respectively,
does occur in.higher plants. However. an examination of 12 pairs of'
twin sectors in tobacco showed one to have been produced as the result
of mitotic non-disjunction (27); there is evidence that in soybean
too. mitotic non-disjunction may be the cause of at least some of the
somatic-sectors (144). Similarly,.mitotic crossing-over cannot be the
gnIygmeChanism'of~sector9production in Tradescantia. Mericle and*
Mericle demonstrated that at relatively “high“ levels~of radiation
(60 R).-deletion (evidenced by the presence of Feulgen-positive frag-
ments ormicronuclei). is an important mechanism of sector production
in I, clone 02 (79.82).- They also point out the converse._that many
60 R and most spontaneous and lower radiation level sectors were not
so indicated to be resultsrof deletion.- Their suggestion that the
”deletions-are‘terminal is supported by-Swanson‘s observation of 886
90
terminal versus-no interstitialdeletions after ultravioletzand X-ray
treatment of mitotic Tradescantia chromosomes (137).
In I, hirsuticaulis. at 60 R. some58% of the.redaonly sectors
have an associated micronucleus, suggesting that.these sectors were
produced by-deletion (Table 16). However thetwin spots in I,
hirsuticaulis. even at 60 R.:are‘ngg, found associated with micro—
nuclei (Table.16).‘ The two classes of sectors are statistically
distinct,.the calculated value of x2; 1 d.f. = 3.9,-p < 0.05. This is
in agreement with Auerbach (12). who, in:ageneral consideration of‘
the mechanism of somatic sectoring in Drosophila. maintains:that twin
spots cannot arise from-simple deletion. ‘I have previously indicated
that each twin spot in I, hirsuticaulis is probably the result of a
single initiating event; this is also in accord with her observation
that. for appropriategen0types.mitotic crossingaover is the 9eg,
mechanism that will produce a twin spot as the result* of a single
erent.
A consideration of the association of micronuclei with spont neous
(0 R) sectors leads to similar conclusions.- Mericle gt a1, (90) report-
that some 10% of the spontaneous sectors in I, clone 02 under typical
,growth'conditions are associated with micronuclei. Initially it appear-
ed as if the redaonly sectors in:I,‘hir5uticau1is. in spite of the
similarity to sectors at 60 R in I, clone 02, were much different in
their asSociation with micronuclei at.0 R (Table:l7)a‘ The data. how-
ever, can be readily separated into two groups: data from flowers with
91
Table 16. Micronuclei association in 60 afrespgnsefihairs“-
sector Class iiitha uithout Totals
red-only 23 17' 4O
red/blue twins 0 29 29.
b1ue§bn1y O 2 2
aFeulgen-positive micronucleus (putative chromosome fragment) present
in the mutant. or. for rg_and bg,sectors. immediately adjacent
"sister" cells.
92
Table 17. Micronuclei association in 0_R (Spontaneous)—hairs.
Sector Clg§§_ Incidence of mutations in 6 stamens of flower
1 2 sub. 3 4 5 7 sub Igi_A1_._-’
red-only with3 1‘ 0f 1 1 1' l“ 0. 3 4
without 5 3 8 l 1 0 O 2 10
11% 60% 29%
red/blue twins with 0‘ 0 o 0 0 0' o o 0
without 2 6 8 l 1 O. 1 3 ll
0% 0% 0%
blue-only with 0 0 0 0 0 O O 0 0
without 0 1 l 0 O 0 1 1 2
0% 0% 0%
2
calculated homogeneity x . red-only sectors. 1 d.f.. 24.67. p < 0.001
aFeulgen positive micronucleus (putative chromosome fragment) present
in the mutant. or. for rg_and bg_sectors. immediately adjacent
“sister” cells.
93
a typical spontaneous mutation rate, 1 or 2 mutantstamen hair sectors
per flower,.and data from flowers with an atypical high, mutation rate.
3 or morestamen hair sectors per flower. The latter is an incidence
of sectors comparable to that inflowers exposedrto*60 R or more of
radiation. (Figure 16, Table 12). The micronuclei associations with'
red-only sectorsin the two groups. in spite of the small number of
data entries. are statistically distinct. the.calculated value of x2.
1 d.f.. = 24.67, p < 0.001. The rg_sectors fromrthe highly sectoredv
flowers were some 60%associated with micronuclei (Table 17). a figure
of the same magnitude as that far association in 60 Raresponse sectors
(Table 16).- The 59 sectors from flowers with an incidence of sectors
typical'of'spontaneou5"material‘showed~antassociation‘withimicronuclei
of some 11% (Table 17). a valuesimilar to that mentioned above fer
spontaneous sectors in I, clone 02 (90).'
The twin spots. by contrast. are 393 found to be associated with
micronuclei. even in-flowers with a high incidence of sectors atypical
of spontaneous material (Table l7).' This reinforces the conclusions
reached above on the basis of their gnassociation with micronuclei in
60 R-response material: twin spots are only produced-by.some.non+dele-
tory mechanism. '
The use of association with micronuclei a§7a measure of deletion
iS'a procedure fraught withidifficulties (79). It has just recently
become clear that the use of~minimallyasized.sectors“leads:to“Igggr,
not highenrvalues for micronuclei.association thanthe use of 2 or 4
94
celled sectors (85); however. as only relative comparisons were-to be
made. as the data previously published by Mericle and Mericle (79)
consisted mostly of single-celled sectors. and. most importantly, as
twin sectors containing exactly 2 red End 2 blue cells are so rare as
to be virtually non-existent. I chose to use minimally sized (l-celled.
or in the case of twins. “l+l"-celled) sectors.'
The frequency of micronuclei itself is an inefficient indicator of
the absolute frequency of breakage (42.129). but,.as long as comparisons
are kept to the relative importance of deletion, micronuclei can be a
valid measure (79). It is now becoming increasingly apparent that micro-
nuclei can also be produced in ways other than gross deletion (57,89).
As this latter phenomenon ianradescantia stamen hairs seems to be
mostly related to environmental differences(89,90). relative compari-
sons of material in the same environment. particularly of different
gIg§§g§_of sectors insthe sgmg flowers. do not appear to be contrain-
dicted. NF
More evidence of the differential behavior of the various classes
of sectors can be seen in a "dose“-response curve (Figure 17). While
the r/b twins and bg_sectors increase linearly with radiation exposure.
the r9_sectors do not and are. instead. markedly "elevated" at 60 R.
. -This-suggests the existence of an extra mechanism at 60 R. producing
59 sectors. in addition t0‘a mechanism which. at.0 R or 60 R. produces»
all three classes of sectors. I have already.mentioned that.58% of‘
the [g sectors produced inresponse to 60=R are associated with
95
Figure 17. "Dose“-response curve.
Frequency of mutant sectors in stamen hairs of purpleaflowered
I. hirsuticaulis-during “response period'.‘ following various 60Co ganma
radiation exposures.
Mined
3%
W
titan
Sectors / Hair
.015
.010
.005 a
96
Red-only Sectors
Red’Blue Twin Svcturs
Blue-only Sectors
951.Confidence Interval
e
C)
A
1 JL
.HHH a
' j V
V V
n in 20 30 -H) M) 60
Rziiilzll 11111 1.“)«15111'1' 111 Rive-iilgi-Iis
Figure 17
97
micronuclei (Table 16). indicating that..as in I, clone 02, the extra
mechanism must be deletion.» The other mechanism(s) then, non-deletory
and responsible for most. if not all. of the spontaneous and the
majority (63%) of even the 60 R seCtors..shows a linear response with
the radiation doses used.' Mitotic-crossingaover in Drosophila, a
reciprocal exchange process. also exhibits such-a linear response to
radiation exposure (16.43.68) (although(the=exposureS'employed are
much higher than those used for Tradesoantia in these experiments;
this difference is discussed in Section III).
.ETThe assumption that mitotic crossing-over is the mechanism of
fragment-unassociated sector production leads to several genetic
predictions.a Since the r/b_twin spot is shown to be the result of a
single initiating crossover event, the D and E loci must be on the
same chromosome arm. Furthermore. the dominant alleles must be in a
repulsed (trans) configuration. since thisarrangement yields a 3/9_
twin spot as the result of an appropriate crossover, while a coupled
(cis) configuration yields only rg_or b9 sectors (barring the
occurrence of a 4~strand triple crossover).' Further. the 0 locus is
indicated to be the more distal since 32 sectors are the more frequent
class among spontaneous “mutations"-(61) (Table 18). This positioning
*Testing.the linkage arrangment of alleles at the.D.and E.1oci by
breeding experiments is hampered by the seifaincompatibility present
in thiS'Tradescantia. To dateaonlysheterorygosity at both loci has
been conT1rmed. See Section I.‘
98
.mcowueaom so» axe» mom .awan a mo acmmouco
on» marten acm>m xpcoims—n a can zpcoivmc a to wucwsczuuo pcmv_u=wou mucagu so» cowuuoacoue
Nmm_oc. seameo. messes. e.eN 8.08, e.m~N eooooeeoo
omm_oo. aaamoo. sweeps. .mN Pep new easeoaao heN.mF a co
.mmp_oc. unease. eeeaoo. _.e_ o.ee P.oc_ eooooecoo
mappoo. unease. ampaoo. e, _ae cos eo>coaao Nam.mp a an
oomooo. amppoo. oaNNoo. _.Ne a.~m~ F.oma eeooeocceo
menace. .Nmp_eo. oaauoo. Ne .mm. one cascades mm_.am_ a o
.mm .m\u .mu .mm .m.c ...... .mu
ape:_gon»ucm=umau . .mcouumm.wo.emae:z. newer unusuamcp
.mwpaaovpzmcwnu.h wo.wcpoeflcoEoew.ew.acouuum uPuoEOm mo zucmzamcm .mp.a_noh
99
sectors at 60.R in large numbers. asone would expect Ij§_the deletion
of a more terminal locus(Table 16).; At this level of radiation. not
only are bg_sectors seemingly not produced in large numbers (Table 18),
but those few b9_sectors scored were foundrto be ggassociated with
fragments (Table 16). as was the one sector found in spontaneous
material with an atypically high incidence of sectors (Table 17).
That portion of somatic sectoring in I,'hirsuticaulis which is
unassOciated with fragments is completely self—consistent with mitotic
crossing-over as the invoking mechanism; all the classes of sectors
are predicted. and in the proper order of frequency. A genotype of
DFE'ID'E+ would produce all three types of sectors* as the consequences
of single or double crossover events (Figure 18). The more frequent
classes would result from single exchanges (plus a possible small con-
tribution to one class from putative three strand double exchange).
the least frequent. from doable exchange. ‘Fifty percent of the actual
exchanges are recovered as mutant sectors (131), the three-strand
doubles being exceptions. recovered 50% as one class. 50% as another
class of sector. Accordingly. rg_sectors are the products of single
exchange in region I (Figure 18). [/9 twins. a single eXchange in
region 11. and b9_sectors. a double exchange involving both regions I
andIl.j Three strand double exchanges would also produce a few rg_
. *Red-only and blue-only sectors may really be red/b1ue-purple and-
blue/redépurple-twin spots. respectively. -Microspectrophotometric
experiments are being planned to test,tbi§.; See Sgctign I for a
discussion of the possible color of D 0 E E ,and-D D‘E ET genotypes.
100
Figure 18. Somatic exchange and its results.
a) Scheme of D+E'/D'E+ chromosome pair showing regions of
possible crossing-over.
b) Genotype and phenotype of daughter cells produced fOllowing
crossover events and centromere assortment.
101
C) D+ E
Region I Region II
D E”
t3) Daughter Cells After Mitosis With Crossover Event In Region
Centromere Assortment
A/B' & A'/B or A/B & A'/B'
- - - — - - + + — -
n+5: /D+E+& DE/D 5* 8+3 /n n+8. DE/DE I
purple red purple purple
+ - + - - + - + + - - + + - -E+ II
D E /D E & D E /D E D E /D E & D E /D
blue red purple purple
.. _ _ + .. -
o+s'/n”s“ a o E+/D+E+ 0+5 /0 2* 2. 0+2 /0 s 1 a II
blue purple purple purple
Figure 18
102
sectors.r
The sectoring data of I, hirsuticaulis are espressedas "crossover
events" in Table 19. The "coefficients of coincidence” calculated from
these data are within the range encountered for mitotic recombination
in Drosophila: less than a value of 0.63 Calculated from the data of
Auerbach.(12) on chemically induced somatic segregation in the eye. and
very similar to the values of 0.35 to 0.23 from the data of Table 3 of
Garcia-Bellido (43) onradiationaenhanced“sectoring'of the abdomen.‘ A
more adequate method of treating the data is described in Section III
of this work.
Since those somatic sectors in the stamen hairs of I, hirsuticaulis
which.are unassociated with fragments behave exactly as if they were
the result of mitotic crossing—over. I propose that these sectors g§g_
predominantly the result of mitotic crossing~over.- Presumably, those
similar somatic sectors in other floral parts and other Tradescantia
are as well.
103
Table 19. Sectors presented as representing crossover events.
Treatment Crossover Events in Region
I only. II only I 8 II
# % # % # %
0 R 2 x 430.1 65.2 2 x 182.9 27.7 2 x 47.1 7.1
34.R 2 x 100.1 54.0 2 x 69.0 37.3. 2 x 16.1 8.7
60-R 2 x 116.2a 38.1 2 x 160.6 52.6 2 x 28.4 9.3
Total Events Expected I & II "Coincidence"
. # % %
0 R 2 x 660.1 100.0 25.2 0.28
34 R 2 x 185.2 100.0 28.8 0.30
60 R 2 x 305.2 100.0 29.3. 0.32
a
Red-only sectors without associated micronuclei
SECTION III'
Towards a theoretically sound method of treating
data from mitotic exchange
Parallels between facultative apomicts and somatic sectoring in
Tradescantia.
Mendel described the characteristics of a good experimental organ-
ism for genetic studies with three rules (73). and then promptly ignored
them when he began to study Hieracium. His experiments with Hieracium
fhybrids“ (74) led to no firm conclusions other than that these hybrids
might well posess some "special condition" that made‘them deviate so
from the orderly genetic laws he had described as the result of experi-
ments in the genus Ejsum_(73).
And indeed. they gr§_"special". for Hieracium s2, are now known to
be notorious apomicts (17,118, cited in 72; 59). While apomicts have
some interesting genetic properties and uses which have been described
(e.g.,9.10,95). they also present knotty problems for the geneticist
who desires to make crosses and observe segregation of genes (discover-
ing and mapping genes being endemic to geneticists).
Of course, obligate apomicts can never be hybridized by ordinary
sexual means. Facultative apomicts offer more hope. but still present
a host of insurmountable problems. One can construct an F] by having
‘ 104
105
a marker in each parent in the cross and then selecting only those
progeny exhibiting both markers. By counting the other progeny as well,
one can even arrive at an estimate of the percent apomixis. However. no
easy genetic trick is available for getting an F2 which does not include
progeny which resulted from an apomictic process.. Doing test-crosses
will not solve the problem either. There will always be excesses scored
in certain classes due to the apomictic progeny being assigned into
those classes. A plant with somatic apospory, for example, will show an
excess of non-crossover strands. This will result in a distortion in
the calculation of map distances from the data.
As can.be seen in Figure 19. the effect is that the appgrent map
distance is less than the Irug_map distance.» The effect becomes more
pronounced as the percentage of apomixis increases. and, as an upper
limit. an obligate apomict will show absolute linkage of aII_1oci. This
relationship between apparent map distance. true map distance and the
apomictic fraction. may be described mathematica11y* as:
M0a = not (1-A)* (I)
where‘MDa is the apparent map distance. MDt is the true map distance.
and A.is the fraction of apomictic progeny.
* Consider a facultative apomict (somatic apospory) of genotype Ab/aB.
Let A 8 fraction asexual progeny and (l-A) = fraction sexual progeny.
0f,N seeds, NA, the asexual seed, will be Ab/aB. N(1aA). the sexual
seed. will be distributed among 9 genotypic classes, AABB to aabb.
The double recessives are most unambiguously identif ed. and can be
used to calculate the map distance. as #aabb = (MDt) . However. if
Fill-A) '2"
(1-A) is not known. the calculation is #gabb = (1121992 . Combining
the5e two expressions gives equation I.
106
Figure 19. Variation in apparent map distance with apomixis.
The two lines are smooth curves connecting map distances calculated
for genetic lengths of 50 or 25 centimorgans at various percents apomixis.
At 0% apomixis. apparent map distance equals true map distance.
(15.
”I
..n- ‘11:~
.flfihm
arcents 3'23"?
5
3.31759.
107
HDNVLSIU dVH
2O 30 4O 50 60 7O 80 90 111(1
10
APOMIXIS
F!
/'C
Figure 19
108
Apomixis will produce effects on other genetic calculations as well;
the coefficient of coincidence (the ratio of observed to expected double
crossovers), a measure of chromosome interference. is one such affected
genetic parameter. An increasing degree of apomixis results in an
increasingly elevated estimate of chromosome interference (Figure 20);
mathematically* this is:
c.c. = l c.c.t (II)
where c.c.t is the true coincidence, c.c.a is the apparent coincidence.
and A215 the apomictic fraction. Indeed, for any given amount of
positive chromosome interference, there is an apomictic fraction above
which it will appear to be negative chromosome interference! This
phenomenon. too. is eXtreme at high degrees of apomixis, an infinite
amount of negative chromosome interference being approached as the
apomictic fraction approaches unity.
Reports of negative chromosome interference are not frequent in
the genetic literature. Negative interference has been found in
* Considering N strands, let NA be from the asexual progeny. N(1-A)
be from the sexual progeny of a faculatative apomict. Coincidence
#dco
is given by c.c.t = Nil-A1 . If (l-A) is not known. however,
7 col # coII
N -A) N(l-A)
. . #dco
apparentcoincidence is calculated as c.c. = N . Combining
# coI #’coII
N N
these two expressions gives equation II.
109
-Figure 20.» Variation in apparent coefficient of coincidence with'
apomixis.
The dotted line represents no chromosome interference, below it is
the region of positive (+) chromosome interference. above it, of
negative (-) chromosome interference.
APPRRENT COEFFICIENT OP COINCIDENCE
10.00
's
8
8
20
110
40 60
% APOMIXIS
Figure 20
100
111
Aspgrgillis (111). in a study of mitotic recombination. in phage (28),
as well as in meiotic recombination in fungi (several references in
ref. 41)., It has also been reported for somatic crossing-over in
Drosophila; e.g.. Garcia-Bellido (43) found a 10- to 20-fold excess of
double crossovers in his material. He. however, seems content to say
“the appearance of a high frequency of spots. due to double CO (cross-
over) even-in both irradiated and control experiments remains unexplain-
ed."<
Similar to Garcia-Bellido's results. I find an excess of double
crossover sectors in the spontaneous somatic sectoring of Tradescantia
hirsuticaulis if the calculation is done in the traditional way. i.e.,.
basing the frequencies on a population of 911 the cells. I believe this
to be a result of the inadequacy of that traditional way of treating
sectoring data.a Indeed. I suggest there are strong parallels between
somatic sectoring and the case of the facultative apomict described
above: that this apparent excess of double crossovers is spurious. and
that it may be understood as arising out of the same conceptual roots
as the negative chromosome interference in apomicts. This approach not
only provides an insight into the processes involved in somatic sector-
ing. but also permits the development of a method which. I think, more
adequately treats sectoring data. therefore resulting in the calculation
of more valid mitotic maps,-as well as the introduction of new. not
heretofore defined. somatic genetic parameters.
112
Theory of somatic exchanggI_
Traditionally, somatic cells have been treated as if they were all
equally amenable to somatic exchange; I w0uld suggest rather that there
exist two subpopulations of cells: one whose chromosomes-will undergo
typical mitosis, and the other whose chromosomes are amenable to somatic
exchange.
By "amenable to somatic exchange" I do not mean to imply that
somatic chromosomes mus; pair intimately, as at meiosis; neither, do
I intend to exclude this possibility. Just as intimate pairing does not
necessarily mean exchange must or will occur. effective intimate pairing
over long cytological distances may not be necessary for exchange to
occur. In Drosophila. pairing in somatic cells 15 known to occur at
certain stages of ontogeny; there are even reports of chiasma—like
structures in these mitoses (31,64). There is a suggestion that Kitani
(66) observed somatic pairing in two species of Tradescantia; persons
in this laboratory (75) have remarked that they feel there is a tendency
for the mitotic chromosomes of Tradescantia to lie with homologues
closer than one would expect if they were just randomly distributed in
the cell. My own observations leave me with the same feeling: meta-
phaSes in-root tips of I, c10ne 02 and a colchicine-produced.tetraploid
tissue of that clone show a tendency for the Chromosomes to lie in
“twos” or even "fours" (see e.g.. Figure 21). The metaphase of a 4N
cell in the center of the filament of a 2N/4N chimeric I, clone 02.
pretreated for some 11 hours with 1% colchicine. shows this tendency
113
Figure 21. Cytological indications of somatic pairing.
a) diploid. I, clane 02 root tip. 2032x. final magnification
b) interpretive drawing of above
c) tetraploid. I, clone 02 root tip. 2672x. final magnification
d) interpretive drawing of above
e) tetraploid.‘I,-clone02filament, 3100x final magnification
f) interpretive drawing of above
fiumi
mfimn
ntnm
Figure 21
115
for association even more clearly-(Figure Zle.f).
Brown and Stack (25) have reported somatic pairing in the floral
tissue of—Haplopappus gracilis as extensive as the considerable pre-
meiotic pairing in the microspore mother cell divisions; there are re-
ports-of somatic pairing in many other plants (see Brown and Stack,
(25). for numerous references).
My usage of "amenable to somatic exchange" is best understood as
the failure of some gene active in mitosis which keeps the chromosomes
from engaging in a process of genetic exchange (or. what amounts to the
same thing. the inappropriate calling into play of a meiotic gene which
engages the chromosomes in a process of genetic exchange). This
“genetic exchange“ is most conveniently thought of in the same terms as
meiotic-exchange. i.e., including pairing.
,A physiological genetic basis for all this can be described in the
terms of Goldschmidt (44) and Rendel (113). In a cell, there will be
an “activator" for the gene. Due to metabolic fluxes, and just the'
stochastic considerations of compartmentalization and of mixingin a
cell, the concentration of this substance in the immediate. “sensitive",
vicinity of the gene on the chromosome will vary from cell to cell.
being distributed around a mean value (Figure 22a). There will be
some value at which the gene is no longer kept active. its affinity
for the activator not being strong enough to give binding at a concen-
tration that low. This is the threshold value. and it divides the
distribution of cells into two subpopulations: (a) cells with an
116
Figure 22. » Canaliza‘tion of themitotic gene which .keeps chromosomes
from pairing.
8) Typical distribution of somatic cells. showing the normal
distribution around 1a mean. H0, .of gene activator.
b) Distribution of somatic cells after the imposition of some
stress which changes the mean. to M".
c) Distribution of somatic [cells after‘the imposition of some
. greater stress which changes the mean to 11".
Mt is a threshold valuerof activator. beyond which. theagene fails.
to function.‘
mmmm
enmm
(use
use
nemhh
117
. 1 gene
inactive
"Make"
U-
_.:z
c:
3.1
. I
.--"" 1‘.
i i
i 1
g i
1 i
1 1 " “““““
"Make"
.
C
| .I“
.....
. .n-
. .....
.....
......
......
.......
......
........
-------
““““““
‘‘‘‘‘‘‘‘‘
‘‘‘‘‘‘‘‘
. -----
I
I‘I'
. ’(lke
Figure 22
118
"active gene“, and therefore undergoing a typical mitosis; and (b),
cells with an "inactive gene". and therefore undergoing an atypical
Initosis during which the chromosomes are amenable to exchange (Figure
22a); The gradient of somatic pairing observed by.Brown and Stack (25)
might well be interpreted on~a similar basis: a change in the mean
concentration of this "activator”, a quantity Rendel (ll3) terms
“make". M. would result in an ever. increasing fraction of the cells‘
being amenable to exchange (Figure-22;a,b,c).
Similarly. an increased rate of somatic sectoring in Tradescantia
could be thought of as occurring through an environmental perturbation
of cellular metabolism resulting in a small shift of i} the mean value
ofz"make“t
Selection pressure operates to increase the penetrance of the gene
at the cellular level; that is to maximize the difference between the
mean value of "make" and the threshold value; As this distance in-
creases. however, a larger and larger fraction of the cells in a tissue
tend to have the gene active. This tends to make the gross differences
from a tissue in which gll_the cells have the gene-active (a theoreti-
cal impossibility. given the shape of the normal distribution)
negligible, and undetectable at the whole organism level where seler
tion'must act. Thus an equilibrium distance will'be. reached where Ff,
the mean.“make“..is sufficiently separated from the threshold value so
that only a small. negligible fraction of the cells will-not have the
gene functioning. If however, this is a tissue where each and every_
119
individual cell may be examined, an investigator may observe this small
fraction of the cells. Such is the case with the cells of the stamen.
hairs in Tradescantia.*
Comparable to the gradient of somatic pajgjgg_observed by Brown
and Stack (25), there have been shown to be variations in the frequency
of various kinds of somatic sectoring with both position and develop-
mental stage. In-Tradescantia clone 02, with-spontaneous sectors. the
upper. middle. and lower thirds of the stamens have characteristically
different mutation rates (55). Sand (120) reports different mutation
rates at various flower nodes in Nicotiana; Vig and Paddock (145) report
statistically distinct sectoring rates.in the ontogenetic series of
leaves of-young soybean plants.' Although not suggesting any mechanism
for the sectoring. Demerec (35,36) describes somatically sectoring'
stocks of Delphinium whose sectoring is limited to certain stages in
ontogeny, some whose permissive time is short.-others, long.
A canalized-gene model for somatic-sectoring can also account for
the observed genetic variation of spontaneous mutation rate in
Tradescantia (79). A series of structurally mutant alleles are theoret-
ically possible which would differ in their association constant for
the activator molecule. Thus, although the mean physiologic
* The hypothesis might be advanced, then. that somatic mutations are
most simply understood as the failure ofaa "canalized" pigmentation
gene to operate. While this possibility may not be discounted in 1,
clone 02, such a mechanism could not account for the twin spots in I,
fiirsuticaulis, which have.been shown above (Section II) and previously
136) to be the result of one, single event, not the two coincident
events this hypothesis would require.
120
concentration of the activator could be the same from stock to stock,
the threshold value, a property intrinsic to the allele and a
function of the association constant, might vary, permitting large
differences in spontaneous sectoring rate between stocks. Recently,
Nauman.gtfial, (99) have suggested that differences in specific activity
of DNA-repair enzymes might account for the different spontaneous
“mutation" rates of various Tradescantia stocks. Perhaps a DNA-repair
enzyme is the product of the canalized gene; repair-deficient strains
are well known to exhibit increased frequencies of mitotic crossing-
over.(ss.123). Additionally, "modifiers", genes distinct from the
canalized gene. could well exist. Minute genes, for example, are well
known for their action of enhancing the frequency of somatic sectors
(mosaics) in Drosophila (63,13l). These modifiers would function by
effecting slight alterations in the cellular metabolism which would
result in small shifts of H. the mean value of "make” (Figure 23a).
Different stocks-with the same allele of the canalized gene would show
differences in spontaneous sectoring rate due to small differences in
H} the mean "make". Alternatively, these modifiers might well broaden
the distribution of cells around the same mean value of "make". This
also would-result in a higher fraction of thepopulation beyond the
threshold value (Figure22b).
Differences from the spontaneous sectoring rate caused by
externally applied forces can also be explained with this model. as
was alluded to-earlier. Obviously, increases in the sectoring rate
121
Figure 23.- Differences in spontaneous mutation rate explained as the
action of modifiers on cellular physiology.-v
a) The modifiers shift the population mean "Make“.
b) The modifiers broaden the distribution of somatic cells around-
the same value of mean "Make".
110 is the original mean "Make", Mt’ the threshold value. 71', the
value ofsmean "Make" in‘a stock with modifiers, 6, the average effect
of the mOdifiers.i
d...— — _..
122
amMuh
mHum
1119, E.) the
M = 1 '
erage effect 1:) 0
Figure 23
121
Figure 23.- Differences in spontaneous mutation rate explained as the
action of modifiers on cellular physiology...
a) The modifiers shiftthe population mean I'Make".
b) The modifiers broaden the distribution of somatic cells around
the same value of mean "Make".
TWO is the original mean "Make", Mt’ .thethreshold value, 74", the
value oftmean "Make" in-a stock with modifiers, 6, the average effect
of the modifiers.)
122
expiaimvasi
nkcmnm
inwaflm '
b Mo:n
eawmmdw
. r
1.._
‘4
edifice-......‘
Figure 23
123
after exposure to large amounts of mutagenic agents will occur through
deletion (30,79) and other mechanisms, but some agents might well
exert.at least part of their effect by flattening the distribution of
gene activator around the mean (Figure 23b) or by causing a small
shift in mean "make" due to an imposed metabolic stress (Figure 23a).
Quantitation of theony
A gene-canalization model for somatic sectoring permits the
development of a method to adequately treat the sectoring data. The
subpopulation with typical mitoses corresponds to the apomictic pro-
geny in the consideration of facultative apomicts above, thus it will
be referred to as the "apomictoid" population. The other subpopulation,
amenable to genetic exchange, is termed the "mictoid" population.
The relationship between coincidence and apomictic fraction
partially shown in Figure 20 is replotted in Figure 24 in a form more
convenient for this analysis and with the abscissa changed to read
"Fraction Apomictoid Cells." It can be seen that at high apomictoid
fractions. the curves for various "true coincidence" values become
very close. Thus, determining the-apparent coincidence value, if it
is sufficiently large in magnitude. will permit a rough estimate of
the apomictic or the mictic fraction. For the I, hirsuticaulis
spontaneous sectoring data (values in Table 18 converted to a per cell‘
basis by multiplication by 16.88), the apparent coincidence, calculated
in the traditional-way, i.e., 2(frequency'bg)/(frequéncy.29.+ 99)
r- v WITH M
124
Figure 24a' Apparent coefficient of coincidence versus fraction of
apomictoid cells.
APPARENT COEFFICIENT 0F COINCIDENCE
1000*
100‘
O
0.1
125
69
N.
//
CJ.
0' ‘9
Q.
//
00
(J.
1 . ‘n
(L5 0.7(L8 0.9 1.0
FRAC'I‘IUN APOMIC'I‘OII) CELLS
Figure 24
126
(frequency [/b_+ ho), is 2200: thus the mictoid fraction is indicated
to be very small.
Calculation of the coincidence value in the traditional way is, I
believe, genetically inaccurate. While previous investigators have to
my knowledge treated mitotic-sectoring data as if it were meiotic-strand
data (e.g. 43,131), it is clear to me that in reality it is "half—
tetrad" data, (Figure 25), and so must be handled differently. The
difference between meiotic exchange data and mitotic exchange data is
illustrated in Figure 26.
Expandingon previous work by himself (9,11,95) and others (14,47,
104,117), Asher (10) has developed a mapping function which gives the
frequencies of the seven tetrads formed in a tran§;double heterozygote
as a function of x] and x2, the corrected map distances from the centro-
mere to the proximal locus, and from the proximal to the distal locus,
respectively. This mapping function assumes that the chromosome is
"equally flexible and breakable at all points" (47) and that no chroma-
tid interference occurs (14). There is some evidence that there is,
perhaps, no chromatid interference during somatic crossing-over in
Drosophila (122). While chromosomes are known to be heterogeneous in
structure and propensity for exchange, similar mapping functions have
been used with good fits to meiotic data from Drosophila, Neurospora,
mouse, and several plant species (14).
From the two-locus mapping functions, a set of equations describ-
ing the probability of each sector type can be obtained: each mitotic
tetrad will become one of two possible "half-tetrads" (Figure 25) with
127
Figure 25. The ihalf—tetradi‘nature of somatic sectors.»
While somatic exchange is a meiotic-like process, there is no
evidence at present that the centromere disjunction is not typically
mitotic. The two daughter cells, then, are analogous to half-tetrads
given an organism whose equationalidivision precedes the reductional
division.*
128
mm szmwm
WM
Typical)
f-tetna
uctioni
129 1
Figure 26. A comparison of meiotic and mitotic exchange.
50’ El’ and Eli stand for no, one, and two exchanges, respectively;
nco,.non-crossover; sco, single~crossover; dco, double-crossover.‘
25, 3s, and 45 indicate 2-strand, 3-strand and 4-strand, respectively.
130
mm oczmwu
_e
o: a 030 few: 1}
e ..OUmL _ S -_ m” em mm .0
out; omeoo m w J .N L x J
m
0: M. QUE—mH n 1
5-1. 00m... OUmm, H x Hm w
W .3033 o: co: 1 - I o-
i .H m _
__. 3.8 N 22:25 V - 1_
u. 0
fl .. :2 2662 eeeeeexw
,
mmm
mm
swnn
131
the completion of mitosis. The equations for the probabilities of:
red-only. red/blue twin and blue-only sectors, P(ro), P(r/b) and P(bo),
respectively, as well as for the unobservable purple sectors, P(p),
are given by:
P(rO) = i P(Z) + i P(3) + t P(7)
P(r/b) = i P(5)
P(bO) = i P(3) + t P(3)
P(p)‘ = 1 - P(ro) - P(r/b) - P(bo)
where P(2), P(3), P(5), and P(7) are the probabilities of-particular
(III)
types of tetrads in a transfheterozygote and are givenby Asher (l0)
as:
P(2)‘= 2 (l + 2e'3xl)(l - e‘3x2)/ 9
P(3)“= 2'(i - e‘3x1)(1 - e‘3*2)/ 9
P(5)‘e (1 - e'3x1)(l + 3e'2x2 + 2e'3x2)/ 9
p(7) - (l - e'3xl)(l - 3e'zxz + 2e'3x2)/ 9
(IV)
‘where x] and x2 are the corrected map distances from the centromere to
the more proximal locus (E) and from the proximal (E) to the distal
locus (0), respectively. (See Figure l8.)
Substitution of equations IV into equations 111 gives a system of
three independent equations in two unknowns, and is best solved by the
method of maximum likelihood. Let n1, he, and n3 be the numbers of
red-only,.red/blue twin, and blue-only sectors observed, respectively.
The likelihood of observing exactly n1,:n2,.and n3 of those sectors is
given by:
132
"i . "2: - "3 "4
L - [P(r0)1 [P(r/b)] [P(b0)1 [P(p)] (V)
where n4.is the unobservable number of purple sectors resultingafter
mitotic exchange. While the value of n4 will be of interest later (as
the sum, n, + n2 + n3.+ n4, is the number of cell divisions which were
"mictoid“), it can be eliminated from the solution for values ofx1 and
x2 by writing the equivalent expression for equation V:
[P(ro) I" [ P(rlb) ]nz [ P(bo) ]n3 (Va)
[1 - Pin) 1 - P02) 1 - PM
The method of maximum likelihood selects those estimates for x1 and
xszhich maximize L;.calculation is simplified bymaximizing ln L.
The solution is-effected by taking thepartial derivatives, setting
them equal to zero, and solving simultaneously. Substituting equations
IV into equations III, and then equations III into equation Va and
taking the partial derivatives gives:
133
a 1n L g n . 3e'3x1(4e’3x2 - 3e'2x2 - 1) +
6 x 1 A
‘ 5(1 - e'3X2) + (1 - e'3X1)(4e'3x2 -3e‘2x2 -1)
1 3e-3x1 (n1 + 112 + n3) 3e'3x1(2 + e'3x2)
("2 + "3) '
(1 - e‘3x1) 3(1 - e'3X2) + (1 - e’3xi)(2 + e'3x2)
(VI)
o in L = . l8e'3x2 + 6(l - e'3xl)(e'2x2 - 2e'3x2)
6(l - e'3x2) + (1 - e'3x1)(4 e'3x2 - 3e'2x2 -1)
-2x -3x -3x
n2 6(e 2 + e 2) + n ‘ 3e 2
(1 + 3e'2x2 + 2e'3x2) (1 - e‘3x2)
-3x -3x -3x
(n + n + n ). 9e 2 - 3e 2(1 - e l)
1 2 3 -3x* -3x -3x
3(l - e 2) + (l - e l)(2 + e 2)
These can be solved simultaneously using a graphic method. Once values
of x.l and x2 are obtained, n4 is estimated by the expression:
n .
.4 = P(p) (VII)
The mictoid fraction, (l - A), is now easily computed: it is simply the
total number of mitotic tetrads divided by the total number of cell
divisions*:
n- + n + n + n “
(l - A) = 1 2 3 4 (VIII)
total'number cell divisions
The coefficient of coincidence may also be calculated.
* The estimation of the total numberof cell divisions is described
later in this Section.
I ' ‘fiwrm A!
134
The coefficient of coincidence is defined as the observed frequency
of double crossover strands divided by the expected frequency of double
crossover strands. The expected frequency of doublecrossover strands,
is simply the product of the two decimal map distances, in this case,
x1x2. What is observed after mitotic exchange, however, is half-tetrads.
P(bo),then, is one half the probability of double exchange tetrads teed
(Figure 25). Assuming no chromatid interference, there is a l:2:l ratio E
of 2-strand, 3-strand and 4-strand double exchanges (147). As shown in 1? %
Figure 25, only one fourth the strands from all the double exchange
tetrads are double crossover strands. Thus (ignoring contributions from
higher-order tetrads) the "observed" number of double crossover strands
is t'2‘P(bo). Coincidence is then given by:
c.c. = P(bo) (IX)
2x1x2
Application of quantitated theory.
The numbers of sectors seen in stamen hairs of purple Tradescantia
hirsuticaulis in experiments over a three year period are presented in
Table 20. Two of the spontaneous experiments contributed some tWo-
thirds (43.21/63.58) of the total x2 value, affecting the frequency of
blue-on1y sectors the most. Accordingly, the frequency of blue-only
sectors was calculated with and without the "non-homogenous" rows.
While the difference is large on a percentage basis, and this is what
the X2 values reflect, the actual difference is only some 0.0036
sector/stamen, a difference I judge here to be biologically
135
Table 20. Sectoring data on Ithirsuticaulis and_X?_homogeneity test.
'SECTOR'CLASS""
RED-ONLY RED/BLUE BLUE-ONLY NUMBER TOTAL
EXPERIMENT # x2 # x2 # xz' STAMENS x2
5/72 spontaneous 166 0.53- 75 1.02 . 13 1.00’ 1014 2.55
10/72 controls 19 0.76 2 6.28 10 21.91 150 28.95
6/72 pre-33R 30 0.00 7’ 2.52 1 1.56 192 4.08-
10/72 pre-34R 4 0.96 3 0.02 1 0.12 42 1.10
11/72 pre-60R 11 0.09 13‘ 12.07 3 2.14 78 14.30
12/72 pre-60R 34 0.07' 20 2.76 2 0.68 210 3.51
11/73 spontaneous 20 1.38 7 1.49 3 0.01 l68 2.88
11/73 pre-60R 8 0.48 8 3.09 0 1.12 66 4.69
1/75 spontaneous l38 0.19 48 1.31 14 0.02 860 1.52
TOTAL 430 4.46- 183 30.56 47 28.56 2780 63.58**
6/72 33R-response 29 0.01 22 0.27- 6‘ 0.45 72. 0.73
10/72 34R-response 71 0.00 47‘ 0.11' 10 0.18 180. 0.29
TOTAL 100 0.01 69 0.38 16 0.63 252 1.02n.s.
11/72 60R-response 188' 0.49 1075 0.02 22 0.73 216- 1.24
11/73 60R-response. 85 0.92 54 0.05 6 1.39 114 2.36
TOTAL 273 1.41 161 (0.07 ' 28 2.12 330
(A)
.60n.s.
at p < 0.01, x2 -249d.f.-= 43.0 at p = 0.01
2 _ -
tab’ 3 d.f. - 7.81 at p - 0.05
tab’
n.s indicates not significant, p > 0.05, X
136
inconsequential. Additionally, the higher frequency of'blue-only
sectors would render subsequent calculations (i.e., coincidence) more
conservative, and might well be a more accurate estimate of the fre-
quency of the "difficult-to-distinguish" blue-only sectors. 50, al-
2 value for the series of spontaneous (0 R)
though the homogeneity X
experiments was highly significant, p < 0.01, according to the tabulated
values of X2 (l24), I decided to retain the data from the two "non-
homogenous? experiments.
In these experiments, the average number of hairs per stamen in I,
hirsuticaulis was found to be 55.4444(Table 21) and the average number:
of cells per hair over all experiments was found to be l6.88l0 (Table
21). These sets of data show no significant differences in the length
of hairs from radiation—response and non-radiation-response flowers;
others (53,54,55,l00,l42,l43) have demonstrated a significant reduction
in stamen hair length after exposures to radiation, althoughof
considerably higher doses than used in these experiments. In the‘
analysis of variance for stamen-hair number, the F4,175 value was found
to be highly significant. This is judged to be a reflection of the
variation within the non-response data; the Fl,l78 value is £23 highly
significant. As the non-response means, 53.0, 49.3, and 57.7, bracket
the response means, 55.8 and 53.2, all the data were combined, and a
grand mean calculated.
Thus 2780 spontaneous stamens are seen to comprise the results of
some 2,601,960.l (2780 stamens x 55.44 hairs/stamen x l6.88 cells/hair)
--‘M
" ' ”‘1'
I ,A'
137
TABLE.21. Numbers of hairs per stamen and cells per hair in I,
hirsuticaulis.
hairs / stamen. cells / hair
SOURCE n 2x 2x2 n 2x. 2x2
10/72‘ controls 24 1271 68080' 138‘ 2421 43233
10/72 pre-34R 6 296 14758' 36 560 8926 {"
l/75‘ spontaneous 88 5077' 296867 - - - (
subtotal 118 6644. 386349 174 2981 52159. 0‘“
6/72' 33R-response 14 781 44345- 84 1382 23570
10/72 34R-response 48 2555 137929. 78 1309 22513
subtotal- 62 3336 182274 162' 2691 46083
TOTAL 180 9980 561979 336‘ 5672 98242
MEAN 7'= 55.4444 7'= 16.8810
ANOVA : RADIATION-RESPONSE !§_NDN-RADIATION-RESPONSE
SOURCE d.f. 5.5. n.s. d.f.. s.s. n.s.
Total' 179 8643.4445 -- 335 2493.2381 --
Tmt 1 253.7500 253.7500 1 22.7783 22 7783
Error 178 *8389.6945 47.1331 334 2470.4598- 7.3865
F1,178 = 5.38* F1’334 = 3.08, n.s.
(continued)
138
Table.21‘(cont'd.).
ANOVA : OVER ALL EXPERIMENTS
SOURCE d.f.} s.s. n.s. d.f.c s.s. n.s.
Tota15 179 8643.4445i -- 335 2493.2381 --
Tmt 4' 1054.6003.'263.6500 3? 140.0055 46.6685
Error: 175~ 7588.8442. 43.3648' 332% 2353.2326‘ 7.0880'
F4,175 = 6.08** F = 6.58**-'
3,332
*.~p'< 0505, Ftabg1’178 = 5.02
**~p < 0'01"Ftab,4,l75 = 3.72, Ftab,3,332.= 4.284
n.s., not significant, p > 0.05, Ftab,l,334 = 5.02
139
stamen .hair cell divisions. This counts the periclinal division innthe fila-
ment 'epidermis,-.so thelcalculation of sector frequency per cell division
will be slightly in error, as thoSe sectors which are a single mutant.
cell at the base of a hair 15 the filament's epidermis have not been
included. Since there are few mutations which encompass the basal-cell
of a hair, this error is judged to be relatively unimportant. Another
very small, and disregarded, error arises from the inclusion ofv
I" - {GI-u. Haw
‘ l
multiple-entire hair sectors among the sectors used in these calcula-
tions. Multiple-entire hair sectors arise from a mutant event occurring
during the ontogeny of the filament itself, rather than during the-some
2.6 million divisions producing the stamen hairs. These two small
errors are in opposite directions, and thus tend to compensate for each
other, making any final error tremendously small.
Tables 20 and 2l provide all the data necessary to calculate map
distances, mictoid fraction, and coincidence using equations VI, VII,
VIII and IX.‘ The results of the solution of those equations for data
from spontaneous (0 R), 34 R- and 60 R-response material are presented
in Table 22.
The mitotic map presented in Figure 27 is the first genetic map
in thegenus-Tradescantia. The distance from the centromere to the E
locus isS.6 centimorgans,.that from the E locus to.the D locus,-12.l
centimorgans.. The addition of ionizing radiatiOn affects those map
distances.‘ The more distalregion appears to shorten -- linearly with
exposure dose (Figure 28). The description of the behavior Of the
140
Table ~22: ‘ \ somatic genetic . Parameters 58.19.11 ated fer L9. hirsuticau‘ “-
Radiation' 0 R 34.R' 60 R 60 Ra
Cell Divisions 2601960.1- 23586l.l~ 308865:8- 308865.8v
NT 4452: 1262 3885’ 1760
(l-A) 0 001711 0.0053506: 0.0125782? 0.0056982
n1 430 100 . 273" 116‘ 5 ii
n2. 183' 69 ,161 161‘ S
n3. 47 - 16 28 28‘ 5“
n4‘ 3792 1077, 3423: 1455
P(bg) 0.0105543639 0 0114421796 0.007l93327863' 0.0158352553
x1 0.3565 0.0752 0.0527' 0.1300
x2 0.1211 0.0981 0.0834 0.0831
c.c. 0.7713' 0.7755' 0.8183‘ 057329‘,
"traditional" ,
c.c. 2229.4 764.4 304.0 635.6
Fold Increase . .
(l-A) -- 3.13. 7.35‘ 3.33:
a
with Feulgen-positive micronuclei.
[99sectors~multiplied by l7/40 to "remove"-those sectors aSsociated
in I
Figure 27.» Mitoticmap of 1.6hirsutic'auiis.
_0_ is the delphinidin locus, 15 is the‘~f'eohaocer""locus, g is the
centromere. Map distances given in centimorgans, calculated after the
method described in the .text.
142
143
Figure-28. Somaticgegenetic parameters in I; 'hirsuticaul is after various
60Co gama .radiation exposures .
The designation "6 un" means "with micronuclei", i.e., thOSe
sectors at‘GO-R associated with micronuclei have not been removed from
thedata: the designation "§ .uni' means the converse.- - The designations
x1. [and x2 represent the map distances :from thecentromere to the-
proximal (E) locus, and'from theproximal '(E) to thedistal (D) locus-
—«-—~—-—~. N.— ._’u\-_‘_~
respectively.- The notation (l-A) denotes the mictoid fraction.
Map Distance
.10
.02
144
C un
*2
0’;
x"
O’/
x1 ° .‘l
.0. ooooooooooooooooo u.
..r -----
...,uo.o":: o g ”n
"a” \
2"” ........ 0"K
far",
20 40
Radiation Exposure in Roentgens
Figure 28
60
840
6.0
4.0
2.0
Fold Increase
145
Proximal region is compliCated by the 60‘R data.‘ If-the micronuclei—
associated sectors are n9; removed from the data,.the proximal region
increases.in-apparent length at 34 R, then decreases to less than its
0 R length at 60 R. If 311 the micronuclei-assOciated sectors are re-
moved frOm the data (as being putative products of deletion, not
somatic exchange), a consistent increase in map length of the proximal
region is seen -- the plot appears non-linear, with an upward trend.
If some_of the micronucleiéassociated sectors were left included in
the data (as some 10% of spontaneous red-only sectors were found to be
associated with micronuclei), the map distance calculated for the
proximal region at 60 R would lie between the two values for 604R in
Table.22.' There is certainly some percent of micronuclei-associated
sectors, which, if retained in the analysis, would complete a strict
linear increase in proximal map length.with exposure-dose.
It is evident that radiation does not affect thefrequency of'
recOmbination similarly in the two regions of the chromosome. If it
had, the mitotic map would-have increased (or decreased) uniformly.
The significance of these changes in mitotic map length is not pre-
sently'known.'
The mictoid fraction,(l-A), also changes with radiation exposure
(Figure 28). The observed increase in mictoid fraction is in accord
with the previous discussion of the gene-canalization model for somatic
sectoring. Justnas with the mitotic map length of the proximal region,
the removal of micronucleiaassociated red—only sectors (to correct the
data for the contribution made to total sectoring by deletion) affects
- (Tait-U14
. «L
-i
146
the exact value of (19A) at.60:R.' However, even removal of all the
micronuclei—associated sectors results in a hyperbolic increase in
mictoid fraction with exposure dose.' The exact form of the increase --
linear or-nOnalinear -- is-not clear from these:experiments.
The mictoid fraction in spontaneous Tradescantia hirsuticaulis
material is 0.17% (Table 22). Thus, most of the‘stamen.hair divisions,
by far,-are ordinary mitoses.) This means that if a method can be per-
fected for Obtaining well-squashed, well-spread, late-prophase to early
metaphase mitotiCIfigures in stamen hair divisions, perhaps some 0.2%
of them will exhibit imitotic'tetradsi.
As expected, the coefficients of coincidence no longer indicate
largeamounts of negative chromosome interference. The values obtained
-. 0.7713 to 0.8183 -- are close to thevalue-assumed (1.00) in
developing the mapping function. Inspection of the graph in Barratt
g§_glg (14) shows that the effect of varying amounts of coincidence on
mapping functions fordistances of 10 centimorgans or less is very
small.- .9
The present system of equations may be applied to sets of data
collected on somatic sectoring in.other organisms.by other inVesti-
gators, and,.within the limits set by the assumptiOosmade in the-
derivations and the cOnditions of the eXperiments,.solutions may be.
calculated.‘ * .
Garcia-Bellido (43) has recently published~an extensive study of
somatic sectoring in.Dnosophila. He, like Auerbach (l2), and unlike
I. A TnXlemq-ufiv
147
Stern (131) and Schwartz (122), considered the possibility that some
sectors might be the results of double.exchanges, and that these were
sufficiently important to consider.~ However,jhe, as‘I (30) previously,
only seriously considers the double exchange contribution to one
class, and neglects its tiny contribution to the.single crossover class:
this is the same as assuming that only two-strand double eXchanges
occur.
Garcia-Bellido (43) raises the question as to whether the spots he
is assigning to a double crossover class are indeed produced as the-
result of double exchange. He tests, and finds that the mean sector
size of his putative double crossover spots is the same as that of the
single crossover spots.' This places both sectoreproducing events at the
same time in ontogeny, lending credence to the assertion that both are
produced from somatic exchange at that time.
Table 23 shows both the data from three experiments reported by
Garcia-Bellido (43), as well as the somatic genetic.parameters calculat-
ed from those data by the method described previously in this Section.
The two experiments on the y f /'+ + genotype, at 0 R and 500 R,
show the same pattern of interaction of radiation and mitotic map
distance shown above for Tradescantia: the distal.region decreases in
apparent length, the proximal region increases in length. CompariSon
of the two experiments at 500 R, on.y f1/ + + and stn/ + + flies, do
not revealany direct relationship between mitotic and meiotic map
distances.‘ While themeiotic map length of the proximal region was
148
Table.23.} Somatic genetic parameters calculated.for‘Drosophila.-
EXPERIMENTa y f/+ t y f /+ + 7 sn/ + +
Radiation 500.R 0 R 500 R
Cell Divisions 39520-' 13680. 25440
NT‘ 4288- 391. 3502
(1-A) 0.108502; 0.0285818 0.1376572 T'-
n1 157 19 37 3
n2 492 33 369 5
113 45 4 9
n4 3594, 335 3087
P(dco) 0.0104639947 0.0101468196. 0.002545568447
x],mitotic 0.1572 0.1110 0.1305
M01,meioticb 0.093 0.093 0.450
x2,mitotic- 0.0446 0.0586 0.0120
M02,meioticb 0.567. 0.567 0.210
c.c. 0.7462 0.7800 0.8128
”traditional"
c.c. 21.9 128.6 26.3
Fold Increase
(l-A) 3.77 -- 4.82
aData from Garcia-Bellido (43).: bFrom (70).
P(dCO) is the probability of "double-crossover'sectors"v
149
very different in the two genotypes, 9.3 and.45.0 map units, the mitotic
maplength was approximately the same, 15.7 and 13.0 unitS. The distal
region, however, might indicate a correSpondence between mitotic and
meiotic maps. Regions of 21.0 and 56.7 meiotic units were found to be
1.2 and 4.5 mitotic map units in length. Obviously,.further analysis
of meiotiCrand mitotic recombination in the same organism is needed. F—J
_ T; 5;
However, the Xechromosome of Drosophila, with its large amount of
(.....-
4
proximal heterochromatin, may well turn out to be the worst possible
material for such comparative studies, particularly when the frequency
of sectoringhas been enhanced by large amounts (500 to 1000 R) of
radiation.
Garcia-Bellido (43) does note that there is a slight change in the
distribution of the sectorsamong crossover classes between the control
and irradiated-experiments. While he talks of this as a "higher"
amount of crossing-over in the distal region of the control flies, it
seems to me to impart more biologic understanding to refer to this as
anzincrease-in the propensity of the proximal region to recombine under
the influence-of-radiatiOn. The work of Natarajan and Ahnstrom (96,97)
has established the tendency ofradiation-induced aberrations to be
localized in heterochromatin: the proximal third of the X chromosome in
Drosophila is heterochromatic.‘ In fact,.an examination of the data of
GarciaJBellido.(43) shows that the proximal heterochromatin of the X
chromosome undergoes an incredible amount of exchange. In three
150
experiments involving the genes y_and f (exp 1, Table 4, exps. 1,2,
Table 3.of Garcia—Bellido, (43)),the region proximal to Vforked" is
contributing some 59, 71 and 68 percent of the recombinations, for
control, 500 R and 1000 R experiments, respectively, (even more if the
contributiOns of three-strand doubles are correctly assigned to
exchanges involving that region instead of—beingiclassed as single
crossovers in the more distal region). Yet the genetic length of the
proximal region is only 9.3 (that of the more distal region,56.7)!r
Seemingly, the proximal heterochromatin (?) is participating in somatic
exchange to a greater degree than it does in meioticexchange.
Application of the equations described previously in this Section
to data from two experiments of Garcia-Bellido (43) involving 500 R of
radiation results in similar values for the mictoid fraction,(L1085 and
01377, respectively (Table 23). Calculation of the mictoid fractions
with data from others of the experiments of Garcia-Bellido, including
the setting of some estimate of standard error on (l-A), will lead to
the determination of the statistical isimilarity" of mictoid fractions
at various levels ofradiation(and of the effect of fly genotype on
the radiosensitivity of the mictoid fraction). ‘ ’
Mitotic exchange in Drosophila shows leVels of coincidence --CL7462
to 08128 -- similar to those calculated .for mitotic exchange in
Tradescantia. There is no longer an unexplained ”ZOafold excess" of
double crossovers. Instead, I hypothesize that only some of the tergitev
initials are cOmpetent to have pairing and exchange e.g., 2.9%
spontaneously,and 10.9 to 13.8% in 500 R treated flies.'
151
Further implications of the theory.
Garcia-Bellido (43), Lefevre (68) and Becker (16) all find, that,
while radiation dose within a certain range increases the sectoring fre-
quency (irradiated minus control) in a linear manner, extrapolation to
zero dose does not give an accurate estimate of the spontaneous sectoring
rate, but one far-lower than that observed.' Indeed, this latter is also
true of sectoring in Tradescantia clone 02 (130).
This phenomenon has been interpreted (16,43,68,130) to indicate the
involvement of several different mechanisms, and indeed, has led to much
speculation as to what those mechanisms are on the basis of the slope of
the curve in a plot of log (frequency irradiated - control) versus log
(dose) (e.g., referenCe 65). It is my contention that in some cases
these slopes gangbe simply products of the choice of method of analysis,
and have little or no biologic significance. I suggest that a plot of
log (irradiated - control) versus log (dose) is not an adequate way to
treat Tradescantia and Drosophila somatic sectoring data, within ranges
of lOw dose, although it j§_definite1y the method of choice at much
higher doses, and for certain other radiobiologic studies, e.g., the
production of chromosome aberrations, or inactivation of enzyme
molecules in solution.
I have advanced the hypothesis that somatic sectoring may be well
understood as stemming from the "failure" of a canalized gene. If a
—X2
plot of the normal curve (109), 0 (x) = _1__ e 2’ , is taken, and a
M2?
152
"threshold" value of x, the standardized deviate, is chosen, and a plot
x
t _
of-log x[0(x)dx versus log (xt - x) is made, the resultant curve
(Figure 29) closely approximates that curve plotted from the experi-
mental data collected on Tradescantia by Sparrow gt_al, (l30)(or 65).
It was suggested previously that the action of radiation on the sector- i
ing rate could be understood to be effected through a disturbance of
cellular physiology resulting in a shift in R, the average value of*
"make” for the population of cells. This is, of course, mathematically
equivalent to the process just carried out and plotted in Figure 29.
Referring specifically to Tradescantia sectoring, it has been
shown, in this work (Section II, Table 15) and previously (79), that
deletion is an important mechanism of sector production at "high" doses
of radiation (60R). At high levels of radiation, a log-log plot of
Tradescantia clone 02 sectoring data is the most theoretically sound,
method of plotting the data. At these high levels, the "contamination"
by sectors produced as a result of somatic crossing-over-is small, and
almost eliminated by the subtraction of the spontaneous rate. In I,
hirsuticaulis, however, where there are classes of sectors which cannot
be produced except by somatic crossing-over, (barring rare, coincident
events), a different kind of precision is possible.
I have long been Uneasy about the assignation of the 1.4—hit
kinetics indicated by the data of Sparrow gt 31, (130) to the "grab-bag"
category of "mixed kinetics". I suggest that it is a result of the
shape of the nOrmal curve around a certain value (and a component,
h‘... .v 11.14 .
11111.1 oh:
153
Figure 29.1 A log-log plot of the normal curve of error.
P(xt) - P(X) is.the area under the normal curve of error from x to
t
x: xi is the chosen.ithreshold" value of the standard deviate, xt 8'3.24,
6 iS-xt-x, the distance from this threshold value to some other value,x,
of the standard deviate. The slope of a tangent to the log-log plot is‘
denoted as n.~
154
10’2
10'3
10°
10"1
Figure 29
10‘2
.4
0
1
10"5
A5.— I Anxvm
155
important at high doses, which is.radiation-produced). Referring to
Drosophila sectoring, Lefevre (68) and Becker (l6).say that radiation
does 293 merely increase the rate of spontaneous sectoring, an inter-
pretation which stems from the large difference between the actual and
expected rate of sectoring at.Do. AlthoughGarcia-Bellido also suggests
that induced exchange is different from spontaneous mitotic-exchange he
seems cautious; the ten-— to twenty-fold excess of double.crossovers‘
above that expected on the basis of random association and the effect of
Minute genes in increasing both spontaneous and irradiated sectoring-
rates.are mentioned just where a conclusion would typically appear.\ I
suggest that, in Drosophila, at this (500 R) radiation level, a sub-
stantial part of the radiation effect does occur by increasing the.
spontaneous'mechanism.‘
The mictoid fraction for unirradiatedDrosophila, 0.029,.I(Table~
23), is much.higher than the spontaneous mictoid fraction in I;
hirSuticaulis, 0.0017(Table 22). In terms of the canalized gene model,
this spontaneous mictoid fraction corresponds to that area beyond the
threshold value of M, "make".' Thus, referring to a Table of 0 (x) (109),
while the threshold for TradeScantia is indicated to be at
.9 .
M = {xl x‘y/ 0(x)dx= 0.0017}, x = 2.93, the threshold value for
t .
the canalized gene inDrosophila -- and it is not necessarily a homo-1
o. .
logous gene" isat Mt =-{x| x/ 0(x)dx = 0.029}, x = 2.31. This
threShold is a full six-tenths of a standard deviation closer to the
respective mean.value of "make".' I would suggest, without any
I
I-i‘ L ' '“fi
.1
.1
156
experimental evidence,-that cellular physiology is much more buffered at
that point, and that larger doses of radiation are therefore necessary
to produce a perturbation which results in a substantial change.in M.
Mathematically, this is saying that the effect of a dose of radiation on:
changing the value of “make", is dependent on x as well as R,-dx/dR =
f(x,R). To additionally mask response, the effect of some 6x on area
past the threshold is smaller on a percentage basis at x = 2.31 than at
t
xt.= 2.93. Combining both these facts might mean that large doses of
radiation are needed to get.a small biologic effect with Drosophila
(i.e.,.a 3.8--4.8-fold increase in (l-A) with 500 R (Table 23) as com-
pared with a 3.1-fold increase in (l-A) after 34 R radiation exposure
to Tradescantia (Table22)). Describing the exact mathematics of all
this is beyond the scope of the present work, as well as the informa-
tional content of the collections of data from other workers available
to me at this time.
It seems to me, however, that the stamen hairs of Tradescantia will
be some of the best material for use in further exploration of this sub-
ject. When appropriate corrections for the contribution to total
sectoring.by.deletion are made, or when such a contribution is negli-
gible, the change in mictoid fraction with radiation exposure can be.
used to characterize the above mentioned f(x,R) or to characterize the
type of perturbation of “Make" that a stimulus (e.g., genetic back-.
grOund, radiation, diurnal temperature).produces.; As the method here
described for the treatment.of data is presently being extended to treat
157
data.from1; clone 02 and other one-locus systems, it will be possible
to compare experimental behavior near several putative thresholds on
the normal curve.
At present, while not "proveni, the gene-canalizatiOn mOdel is an
alternative approach to the interpretation and explanation of somatic-
sectoring data. It.can explain the high degrees of negative chromosome 1
interferencecharacteristic of somatic sectoring in Tradescantia and.
‘0 ‘ MF'
Drosophila, as well as the failure of log-log dose-response curves to
extrapolate back to the observed spontaneous rate of “mutation". It
further provides a hypothesis which is open.to testing. Becker (16)
may indeed have been right, but in perhaps a different sense than he.
intended, when he suggested that X-rays produce a physiological cOndi-
tion which is responsible for the production of somatic sectors. This
insight may lead to a greater understanding of mitosis itself.
SUMMARY
1) Purple flower color of the I, hirsuticaulis stock is due to the‘
1w
presence of approximately equal amounts of blue (delphinidin) and red 5
(cyanidin) pigments. S _
2) The total-amount of anthocyanin pigment in the purple-flowered~I, {
hirsuticaulis is twice that in the blue- or red—flowered 1, clone 02
and progeny.
3) Purple-flowered I, hirsuticaulis stock possesses an allele, E+,
which is responsible for both #1 and #2 above. The action of the E+
allele may well have a simple molecular explanation.
4) The genotype of the purple-flowered stock is D+E'/D'E+. This
designation was arrived at through an analysis of the occasional red
and bluemutant cells produced in the purple floral tissues and is
supportedby breeding data.
5) Purple-flowered I, hirsuticaulis exhibits three classes of somatic
sectors red-only, red/blue twin spots, and blue-only. The twin spots
are shown to be the results of single events.“
6) As in 1, clone 02, deletion, as evidenced by the presence of micro-
nuclei (chromosome fragments), is indicated to be one mechanism pro-
ducingcertain kinds of sectors (red-only) in response to ionizing
158
159
radiation.‘
7)The predominant, if not exclusive, mechanism of spontaneous'
sectoring and an important mechanism even for 60 R-induced sectoring
in this I, hirsuticaulis (and by inference, in other Tradescantia) is
argued to be mitotic crossing-over.
8) Some conceptual parallels between the genetic behavior of faculta- _ .
tiveapomicts and sectoring flowers of Tradescantia are described.
“fl - ”mt——
. o '
f
I
1
This results in a description of new somatic genetic parameters, A,
the apomictoid fraction, and l-A, the mictoid fraction, those frac-
tions of the cell divisions that are typical mitoses, or atypical
mitoses where the chromosomes are amenable to exchange, respectively.
9) A genetically accurate method of using somatic sectoring data for
the calculation of mitotic map distances and coincidence is described.
10) Mitotic crossingeover through the failure of sOme canalized gene
‘of mitOsis is shown to predict a "log response - log dose“ plot which
simulates that found for somatic sectors in 1, clone 02.
APPENDICES
APPENDIX A
Particularly interesting somatic sectors in I, hirsuticaulis L W,
\ i
The world has Seven Wonders; I have chosen seven intriguing gym
sectors to present here (Figure 30), which, I believe, demonstrate
the complexity of the question of somatic sectoring.
The first sector (Figure 30a) is a multiple-entire, multiple-
sectored hair. The two identical red-only multiple-sectored hairs
were joined by two purple cells in the filament epidermis. I suggest,
that this sector is an exampie of the regularity and precisiOn of'
the sorting-out of mutations after a mutant event, the process of
the formation of a multiple-sectored hair.
The second sector (Figure 30b) illustrates the resu1t of a
spindle abnormality, an exceedingly rare event in this material, in
conjunction with a red/blue twin mutant event. The blue cell, like
a side-car on-a motorcyle, must have been carried along as the red
cell continued to divide. Eventually, the daughter cell to which the
blue cell was attached was segregated subterminally and "left behind."
The third sector (Figure 30c) poses a problem. Red/blue twin
events are explainable, but how did the terminal red cells arise from
160
161
Figure 30. Exceptional sectors in I, hirsuticaulis.
1
i
a) A multiple-entire, multiple—sectored hair, 22 days post-60 R |
b) A curious red/blue twin, 15 days post-60 R i
c) An entire hair red/blue twin, 16 days post—33 R !
d) A multiple-sectored red/blue twin, 11 days post-34 R
e) A multiple-sectored red/blue twin, 17 days post-60 R
f) A multiple-sectored red/blue twin, spontaneous ‘
g) A multiple-sectored red/blue twin, 19 days post-34 R
The wavy purple line represents a series of purple cells of unknown
number.
162
1
mLmTBJ If,
Figure 30
163
division of'a blue cell?v This is, I advance, a complex-multiple-
sectored hair, the origins of which have not yet been described or-
hypothesized.'
The fourth sector (Figure 30d) is a multiple-sectored red/blue
twin spot. However, twin spots were argued previously (Section II)
to arise immediately from a division including a red/blue mutant
1 it
event: if this particular sector isnot the result of chance occur- 9
rence of two red/blue mutant events in hair ontogeny, then it is F
evidence-that r/b events, like red events in 1} clone 02 (84), can {
exist occasionally in heterozygous states. The fact that it is from
11 days post-irradiation material, not the peak of mutation response,
makes.it unlikely that it is two coincident events: this materia1~
also exhibited entire-hair sectors, that time in the mutation response
curve that produces the mostmultiple-sectored hairs in 1, clone 02
(84).
The fifth sector (Figure 30a) is an immediately subterminal
sector of alternating sectors of blue and red cells. It is worth
noting that there are not two terminal purple cells; as the terminal
cell "always divides" (53,54,100), presumably this string of red and
blue sectors was segregated from one complex mutant event in a
continually, terminally, segregated cell. How strange that after
"throwing“ all those mutants, the terminal cell is purplei'
The sixth sectOr (Figure 30f) is similar to the last mentiOned.
sector, except that purple cells are interspersed among the red and
164
blue cells.
The seventh sector (Figure 309) is perhaps the most perplexing
of all. Because this is an entire-hair sector, the original mutant
event must have occurred in the periclinal division of the hair
initial or in the l-celled young hair. This one event sorted out to
give multiple red, multiple blue and purple cells, and was not so
disruptive as to stunt the hair to any great degree.
Mericle and Mericle (84) have proposed that the chromosome of
young Tradescantia stamen hairs.might be functionally minimally 2-
partite; the exceptional sectoredhairs presented here certainly do
not indicate other than that the structure and behavior of the
chromosomes in stamen.hair cells may well be at least that complicated.
111
1’ I (Ill-III. . .ll’tlllll ‘
APPENDIX B
Amounts.of nuclear DNA in a mature stamen.hair of 1. clone 02.
Attempts to quantify the size of micronuclei associated with
mutant sectors in thestamen hairs of I, clone 02 generated a quantity
of mature stamen hairs prepared for quantitative microspectrophoto-
metry in the usual way: killing and fixation in 3:1, ethanolzacetic
acid, Feulgen staining, and bleaching (101). I chose to practice my
quantitative microspectrophotometric technique on a slide of this
material, expeCting to find the same 20 complement of DNA in each of
the cells of the hair. What I found was a gradient of amounts of
nuclear DNA (Figure 31). This is in agreement with unpublished obser-
vations of D. R. Davies (33) on the same material. Swift (138)
working with three different species of Tradescantia found the
expected 2C and 4C, as well as 8C nuclei in mature hairs; the 80
nuclei, however, were not observed until hair differentiation was
completed. Data supporting this latter point,.however, did not appear
in the paper.
Mericle and Mericle (84) have proposed multineme chromosomes in
the cells of young stamen hairs as one possible way that
165
166
Figure 31. Nuclear DNA in a mature stamen hair.
This Figure shows the amounts of nuclear DNA in the individual
cells of a mature stamen hair of _T_. c1one 02 killed and fixed in 3:1,
ethanol:acetic acid and Feulgen-stained for quantitative microspectro-
photometry. A Leitz MPV-l microspectrophotometer was used for deter-
mining transmittances; the 2-wavelength method was employed for the
calculation of relative DNA amounts. TheDNA values given are in
arbitrary units.
167
eaco Hemem
«
NH ma
ma
_m oesm_e
:oflpflmcm m>flwmfimm
ad a m
Haou Hacflzese
.\'.11:.111q.1\-' UT \‘NG
81101
168
multiple-sectored hairs could~originate.- Certainly, the gradient
of amounts of nuclear DNA shownin Figure 31 could be interpreted as
polynemy of the chromosomes in the more basal cells. Polyneme
chromosomes are not unknown in plants; the nuclei of suspensor cells
in Phaseolus coccineus have amounts of DNA as high as 40960, and yet
are indicated to be diploid, 2n = 22 (13). L__‘
.';Swift-(l38) assumed that the 80 cells he observed in mature F
stamen hairs were the result of endopolyploidy. My investigation of
the numbers and sizes of nucleoli in cells of mature stamen hairs. I
does not lead me to the same assumption. While the most terminal
cells in the stamen hairs of-I, clone 02 tend to have 1 to 3 nucleoli,
and the more basal cells, 3 to 6 nucleoli, the distribution of the
numbers of nucleoli percell in 135 cells from 11 stamen hairs does
not differ markedly from the distributions in cells of root tips and
young petals -- actively dividing, diploid tissues of this same
material (101). Indeed, 100 cells from young petals showed a range
of 1 to 9 nucleoli per cell, while the cells of the stamen.hairs
showed a range from 1 to only 7 nucleoli per cell. And in fact, the
one cell with seven nucleoli was a terminal (presumptive 20) cell in
a hair.- Were the more basal cells endopolyploid, as a consequence of
their multiple sets of nucleolar organizers, I would expect to observe
cells with far greater numbers of nucleoli than in cells of root tips
or young petals.- As I did not, I'am inclined to ascribe the increased-
complements of DNA in basal cells to polyteny, rather than polyploidy.
169
Current inveStigations are aimedat determining whether the DNA
complements of early ontogenetic stages are comparable to the DNA
complements in the most terminal cells of mature hairs.
W“;
BIBLIOGRAPHY
Wo‘ - 4.17:". VOMflé-w
1
I
10.
BIBLIOGRAPHY
Adams, E. 0., and Rosenstein, L. .The color and ionization of L
crystal violet. J. Am. Chem. Soc. 36:1452-1473 (1914). -
. '3.“ ‘_ ~
Alvarez, B. M. The detection of adulteration of fruit juices by
thin layer chromatography. Analyst 92:1766179 (1967).'
_.-___‘__,.
.1 _._4
-‘:T;—
J
Alvarez, M. R., and.Sparrow, A. N.‘ Comparisonof reproductive‘
integrityin the stamen hair and root meristem of Tradescantia
aludosa following acute gamma irradiation.' Rad. Bot. 5:423—
230 (1965 .
Anderson, E., and Diehl, D. 0. Contributions to the Tradescantia
problem. J. Arnold Arb. 13:213-230 (1932).
Anderson, E., and Sax, K. A cytologicalanalysis of self-sterility
in Tradescantia. Bot. Gaz. 95:609-621 (1934).
Annerstedt, 1., and Lundqvist, A. Genetics of self-incompatibility
2n‘%;adescantia paludosa (Commelinaceae). Hereditas 58:13—30
19 )0
Asen, S. Preparative thin-layer chromatographyof anthocyanins.'
J. Chrom. 18:602-603 (1965).
Asen, S., Norris, K. H., and Stewart, R. N.‘ Effect of pH and
concentration of the anthocyanineflavonol co-pigment complex on
the color of "Better Times" roses.' J. Am. Soc. Hort. Sci. 96:
770-773-(1971).
Asher,.J. H., jr. Parthenogenesis and geneticvariability II.
One-locus models for various diploid pOpulations.r Genetics
66:369-391 (1970).
. , . . Systems of ReproductiOn II. The influence of
linkage and fitness upon the genetic structure of automictic
parthenogenetic populatiOns. Unpublished manuscript.~
170
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21: .
22.
171
Asher, J. H., jr. ., and Nace, G. W. The genetic structure and
evolutionary fate of parthenogenic amphibian populations as
determined by Markovian analysis. Am. Zool. 11: 381 -398 (1971).
Auerbach, C. The problem of chromosome re-arrangements in somatiC-
cells of Drosophila melanoggster. Proc. Roy. Soc. Edinb. B 62:
120-127 (1945). '
Avanzi, S., Cionini, P. G. , and D' Amato, F. Cytochemical and
autoradiographic analyses on the embryo suspensor cells of
Phaseolus coccineus. Caryologia 23: 605- 638 (1970).
Barratt,.R. W., Newmeyer, D., and Perkins, D. 0. Map construction
in Neurospora crassa. Adv. Genet. 6:1-93 (1954).
VQI I ac. "
I
Barrow, J. R., and Dunford, M. P. Somatic crossing over as a cause
of chromosome multivalents in cotton. J. Hered. 65: 3- 7 (1974).
Becker, A. J. Uber Rontgenmosaikflecken und Defektmutationen am
Auge von Droso hila und die Entwicklungsphysiologie des Auges. Z.
Vererbungsl. 88: 333- 373 (1957).
Bergman, 8. Studies on the embryo sac mother cell and its
development in Hieracium subg. Arahieracium. Svensk. Bot. Tidskr.
35:1-42 (1941).
Biran, 1., Robinson, M., and Halevy, A. H. Factors determining
petal color of Baccara roses II. The effect of pigment concentra-
tion. J. Exp. Bot. 25:624-631 (1974).
Brederode, J. van, and Nigtevecht, G. van. The genetic control of'
isovitexin-glycosylation in the etals of Melandrium album. Mol.
Gen. Genetics 118:247-259 (1972).
Identification,
properties and genetic contrfil 0? UD DP-glu ucose: isovitexin 7- 0-
glycosyltransferase isolated from petals of Melandrium album.
Mol. Gen. Genetics 122: 215- 229 (1973).
Genetic control and
biosynthesis of two new FTavone-glycosides in the petals of
Melandrium album. Biochem. Genetics 11: 65- 81 (1974).
Dominance relations
between isovitexTn: 7:0Lglycosy1transTErase alleles in Melandrium.
Mol. Gen. Genetics 130: 307-314 (l974L
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
172
Brederode, J. van, and Nigtevecht, G. van. Dominance relationships
between two allelic genes controlling glycosyltransferases with
different)substrate specificity in Melandrium. Genetics 77:507—
520 1974
' Biosynthesis and
genetic control of isovitexin 7- 0-xyloside in the petals of
Melandrium album. Phytochem. 13: 2763- 2766. (1974).
Brown, W. V., and Stack,S. M. Somatic pairing as a regular pre-
liminary to meiosis. Bull. Torrey Bot. Club 95:369-378 (1968).
Buxton, B. H., and Darbishire, F. V. 0n the behaviour of
"anthocyanins" at varying hydrogen-ion concentrations.o J. Genetics
21:71-79 (1929).
Carlson, P. Mitotic crossing-over in a higher plant. Genet. Res.
24: 109- 112 (1974).
Chase,.M., and Doermann, A. H. High negative interference over~
short segments of the genetic structure of bacteriophage T4.
Genetics 43:332-353 (1958).
Christianson, M. L. Spectrophotometric evidence for an enhancer
gene, E, in Tradescantia hirsuticaulis. Genetics 7l:sll (1972).
. Mitotic crossing- over as an important‘
medhanism of floral sectoring in Tradescantia. Mut.*Res. 28:389—
395 (1975).
Cooper, K. W. The cytogenetics of meiosis in Drosophila. Mitotic
and meiotic autosomal chiasmata without crossing-over in the male.
J. Morphol. 84: 81-122 (1949).
Cuany, R. L., Sparrow, A. H., and Jahn, A. H.. Spontaneous and
radiation-induced mutation rates.in Antirrhinum, Petunia, ‘
%¥adescantia, and Lilium. Proc. X Int. Cong.Genetics 2:62-63
958).
Davies, 0. R., persOnal communication.
. . . Radiation induced chromosome aberrations and loss
??Treproductive integrity in Tradescantia. Rad. Res. 20:726-740
1963 .
Demerec, M. Behavior of two mutable genes of Delphinium ajacis.
J. Genetics 24:179-193 (1931).
W FACT-77:75:13.. air-'—
- i
36.
37.
39.
40.
41.
42.
43.
44.
45.
46.
47.
48.
49.
173
Demerec, M. Unstable.genes.' Bot. Rev. 1:2334248 (1935).
Dezelic, M., and Trkovnik, M. Ueber die Absorptionsspektren der
cumarine.' Communication B-87 in X1 Colloquium Spectroscopium
Internationale, Beograde, 1963(T963).-
DiBella, L. Sulle variazioni di colore degli antOcianie sulloro
impiego come indicatori. Atti della Soc. dei Mathematice di
Modena 77:62-94 (1946). '
Dobzhansky, T. Genetics of the Evolutionary Process. Columbia
University Press, New York (1970).
Eigsti, N. Pigment analysis, unpublished manuscript.
Esser, K., and Keunen, R. Genetics of Fungi. Springer-Verlag
New York,.Inc., New York (1967).
Evans, H. J., and Sparrow, A. H. Nuclear factors affecting radio-
sensitivity. II. Dependence on nuclear and chromosome structure
and organization, jg,Fundamental-Aspects ofRadiosensitivity,
Brookhaven Symposium in Biology #14,.pp.,101-127, Brookhaven.
NationalLaboratory, Upton, New York (1961).
Garcia-Bellido, A. Some parameters of mitotic recombination in
Drosophila_melanogastgr. Mol. Gen. Genetics 115:54—72 (1972).
Eoldschmidt, R. Physiological Genetics. McGraw-Hill, New York
1938 . ‘
Goodale, G. L. Gray's Botanical Textbook, 6th Edition, Volume II,
Physiological Botany. American Book Company,.New York (1885).
Graber, D. R., Grimes,.M. W.,-and Haug, A. Electron paramagnetic
resonance studies of the triplet state of coumarin.and related
compounds. J. Chem. PhySTCS'5011623-1525 (1969).
Haldane, J. B. S. The combination of linkage values and the.
calculation of distances between the loci of linked factors. J.
Genet. 8:299-309 (1919).
Harborne, J. 8. Spectral methods of characterizing anthocyanins.
Biochem. J. 70:22-28‘(1958).
‘ ' TheLC"V'Olllaliilgi‘aphicidentification of anthocyanin
pigments.' J. Chrom.l:473;433 (1958). ..
50.
51.
52.
53.
54.
55.
56.
57.
58.
59.
60.
61.
62.
63.
174
Harborne, J. B. Chemicogenetical studies of flavonoid pigments,
in Chemistry of the Flavonoid Compounds, T. A. Geissman, ed.
Pergammon Press, Oxford (1962).
Comparative Biochemistry of the Flavonoids.
Academic Press, New York (1967).
Horticultural Colour Chart, Volume I. British Colour Council (1938).
Ichikawa, S. , and Sparrow, A. H. Radiation- induced loss of re-
productive integrity in the stamen hairs of a polyploid series of
Tradescantia species. Rad. Bot. 7: 429 442 (1967).
The use of induced somatic
mutations to study cell divisioh rates in irradiated stamen hairs
of Tradescantia virginiana L. Jap. J. Genetics 43:57-63 (1968).
‘ 23" -_... Lat—10m
..-_-"'
t
. .
- I
Ichikawa, S., Sparrow, A. H., and Thompson, K. H. Morphologically
abnormal cells, somatic mutations and loss of reproductive
integrity in irradiated Tradescantia stamen hairs. Rad. Bot. 9:
195-211 (1969).
Jansen, G. J. 0. Abnormal frequencies of spontaneous mitotic re-
combination in uvsB and uvsC mutants of Aspergillis nidulans.
Mut. Res. 10: 334 41 (1970).
Jenssen, 0., Romel, C., and GOthe, R. The induction of micro-
nuclei by frameshift mutagens at the time of nucleus expulsion
in mouseerythroblasts. Mut. Res. 26:553-555 (1974).
fohangen, D. A. Plant Microtechnique. McGraw-Hill, New York
31940 .
Plant Embryology: Embryology of the Spermatophyta.
ChronTCa Botanica Company, Waltham, Massachusetts (1950).
Johns, H. E.* The Physics of Radiology. 2nd Edition, Charles C.
Thomas, Springfield, Illinois (1961).
Jones, D. F., Segregation of color and growth-regulating genes in
somatic tissue of maize. Proc. Nat. Acad. Sci. 22:163-166 (1936).
Jurd,.L.' Spectral properties of flavonoid compounds, in The
Chemistry of Flavonoid Compounds, T. A. Geissman, ed. _Pergammon
Press, Oxford (1962).
Kaplan, W. D. The influehce of minutes upon somatic crossing over
in Drosophila melanogaster. Genetics 38:630-651 (1953).
54-
65.
66.
67.
68.
69.
70.
71.
72.
73.
74.
75.
76.
77.
175
Kaufman, B. P.- Somatic mitoses of Drosophila melanggaster. J.
Morphol. 56:125-155 (1934).
Kellerer, A. M., and Hug, 0. Theory of dose-effect relations, jn_
Handbuch der Medizinischen Radiologie, Band II/3, A. Zuppinger and
O. Hug, eds. Springer-Verlag, Berlin (1972).
Kitani, Y. Orientation, arrangements and association of somatic
chromosomes. Jap. J. Genetics 38:244-256 (1963).
Lea, D. E. Actions of Radiations on Living Cells, 2nd Edition.
Cambridge University Press, Cambridge (1955). F“
Lefevre, G., jr. The relative effectiveness of fast neutrons and 1
gamma rays in producing somatic mutation in Drosophila. Genetics 1
33:112 (1948). i'
Lewis, G. N., and Calvin, M. The color of organic substances.
Chem. Rev. 25:273-328 (1939).
Lindsley, 0. L., and Grell, E. H. Genetic Variations of Drosophila
melanogaster. Carnegie Institute of Washington Publication 3627
1968).
Mabry, T. J. The betacyanins and betaxanthins, in Comparative
Phytochemistry, T. Swain, ed. Academic Press, New York (1966).
Maheshwari, P. An Introduction to the Embryology of Angiosperms.
McGraw-Hill, New York (1950).
Mendel, G. Experiments on plant hybrids (1866), jg_The Origin of
Genetics: A Mendel Source Book, C. Stern and E. R. Sherwood, eds.-
H. H. Freeman, San Francisco (1966).
On Hieracium-hybrids obtained by artificial fertiliza-
tion (1869), in The Origin of Genetics: A Mendel Source Book, C.
Stern and E. R. Sherwood, eds. w. H. Freeman, San Francisco (1966).
Mericle, L. H., personalcommunication.
Mericle,.L. H.,.and Mericle, R. P. Biological discrimination of
differences in natural background radiation level.‘ Rad. Bot. 5:
475-492 (1965).
Reassessing the biological
role of backgroundterrestrial radiation as a constituent of the
natural environment. Health Physics 11: 1607- 1620 (1965).
78.
79.
80.
81.
82.
83.
84.
85.
86.
87.
88.
89.
176
Mericle, L. H., and Mericle, R. P. Mutation response to low 1eve1
chronic radiation: modification by environmental factors and
developmental rate. Book of Abstracts, III Int. Cong. Rad. Res..-
p. 155 (1966).
Genetic nature of somatic
mutations for flower COTor in Tradescantia. clone 02. Rad. Bot.
7:449-464'61967).
Mutation induction as influenced
by developmental stage and age. Erwin- Baur- -Gedactnisvor1esungen IV, A
1966. Abhand. Deut. Akad. Wiss. Berlin 2:55-77 (1967). g”-
Induced somatic mutations for
interpreting floral development and inflorescence aging, in L p
Induced Mutations in Plants. IAEA, Vienna (1969). *
Somatic mutations in clone 02
Tradescantia -- a searCh for genetic identity. J. Hered. 62: 323-
328 (1971).
Somatic cell analysis for pre-
diction of genotype. Genetics 711540 (1972).
Resolving the enigma of multiple
mutant sectors in stamen hairs of Tradescantia. Genetics 73:575-
582 (1973).
Mericle, L. H., Mericle, R. P. ., and Nunez, B. Relationship between
sector size and micronuclei in somatic mutations at the D- locus in
Tradescantia. Genetics 80: $57 (1975).
Mericle, L. M., Mericle, R. P., and Osburn, N. S. Somatic mutation
rate as a biological discriminator of natural background radiation.
Rad. Res. 22:214-215 (1964).
Mericle. R. P., personal communication.
Mericle, R. P., Christianson, M. L., and Mericle. L. N. Prediction
of flower color genotype in Tradescantia by somatic cell analyses.
J. Hered. 65:21-27 (1974).
Mericle, R. P.,.Mericle, L. M., and Nunez, B. Interconversion of
mechanisms responsible for somatic mutations in Tradescantia.
Genetics 80:557 (1975).
90.
91.
92.
93.
94.
95.
96.
97.
98.
99.
100.
101.
102-
103.f
104.
177
Mericle, R. P. Mericle, L. N., and Nunez, B. Environmental
modulation of somatic mutations, in Biological Effects of Low
Level Radiation Pertinent to Protection of Man and his Environ-
ment. IAEA, Vienna (in press).
Mericle, R. P., Mericle, L. N., and Van Peursem, S. J. Age-
associated differences in somatic mutation rate. Rad. Res. 35:
525 (1968).
Moore, C. Self-sterility. J. Hered. 8:203-207 (1917).
Moore, C. N., and Haskins,.C. P. X-ray induced modifications of
flower color in the petunia. J. Hered. 26:349—355 (1935).
Morton, A. D. Thin-layer chromatography of anthocyanins from
blackcurrant juice. J. Chrom. 28:480-481 (1967).
Nace, G. N., Richards, C. M., and Asher, J. H. ., jr. Partheno-
genesis and genetic variability. 1. Linkage and inbreeding
estimations in the frog, Rana pipiens. Genetics 66: 349- 368 (1970).
Natarajan, A. T., and Ahnstrom, G. Heterochromatin and chromosome
aberrations. Chromosoma 28:48-61 (1969).
The localization of radiation
induced chromosome aberrations in relation to the distribution of
.heterochromatin in Secale cereale. Chromosoma 30:250-257 (1970).
Nauman, A., personal communication.
Nauman, C. H., Sparrow, A. H., and Schairer, L. A. Comparative
effects of ionizing radiation and two gaseous chemical mutagens on
somatic mutation induction in one mutable and two non-mutable
clones of Tradescantia. Mut. Res., in press.
Nayar, e. G., and Sparrow, A. H.. Radiation-induced somatic
‘mutations and the loss of reproductive integrity in Tradescantia
stamen hairs. Rad. Bot. 7:257-267 (1967). '
‘ Nunez, 3., personal communication.
Nybom, N. Thin-layer chromatographic analysis of anthocyanins.
Physiol. Plant. 17:157-164 (1964).
Osawa, Y.,.and Saito, N., Electron spin resonance studies on
anthocyanins. Phytochem. 7:1189-1195 (1968).
Papazian, H. P. The incompatibility factors and a related gene
in Schizophyllum commune. Genetics 36: 441 -459 (1951).
105.
106.“
107.-
108.
109.
110.
111.
112.
113.
114.
115.
‘ 116.
117.
178
Parchman, L. G. The.Morphogenesis of the Stamen Hairs of
Tradescantia paludosa. Ph. D. Dissertation, Emory University
(T964).
Paris, C. D., Haney, w. J., and Wilson, G. B. A survey of the
interactions of genes for flower color. Ag. Exp. Sta. Bull.
#281. Michigan State University, E. Lansing, Michigan (1960).
Pauling, L.‘ A theory of the color of dyes.* Proc. Nat. Acad. Sci.
25:577-582 (1939).
Recent work on the configuration and electronic- F'-
structure of molecules, with some applications to natural products. 3
Fortschritte Chem. organ. Naturstoffe 3:203-235 (1939). ‘
Pearson, E. S., and Hartley, H. 0. Biometrika Tables for
Statisticians, Volume 1, 3rd Edition. Cambridge University
Press, Cambridge (1966). ' ‘
Pratt, 0. B., and Swartout, H. 0. Fruit and vegetable pigments as
indicators. Science 71:486-487 (1930).
Pritchard, R. H. The linear arrangement of a series of alleles of
Aspergillis nidulans. Heredity 9:343-371 (1955).
Punnet, R. C. On a case of patching in the flower color of the
sweet pea (Lathyrus odoratus). J. Genetics 12:255-281 (1922).
Rendel, J. M. Canalization and Gene Control. Logos Press, Ltd.,
London (1967).
Rhoades, M. M. Preferential segregation in maize. Genetics 27:
395-407 (1942).
Ristic, S., and Baranac, J. Spectres d'absorption des anthocyanols
et des anthocyanosides et leurs characteristiques particulieres
dans differents solvants. Communication B-88 in X1 Colloquium
Sbectroscopium Internationale, Beograde, 1963 (T963).
Effect of solution pH on the
abSorption spectra of pelargonidol, delphinidol and malvinoside.
Glasnik Hemijskog Drustva 29:283—299 (1964).
Rizet, G., and Engelmann, C. Contribution a 1'etude genetique
d'un ascomycete tetraspore: Podospora anserina (Ces.) Rehm., Rev.
Cytol. Biol. Vegetales 11:201-304 (1949).'
118.
119.
120.
121.
122.
123.
124.
125.
126.
127.
128.
129.
130.
179
Rosenberg, 0. Cytological studies on the apogamy in Hieracium.
Bot. Tidskr. 28:143-170 (1907).
Saito, N. Light absorption of anthocyanin—containing tissues of
fresh flowers by the use of the opal glass transmission method.
Phytochem. 6:1013-1018T(1967)..;,. _,.. .....
Sand, S. A. Effects of flower node position on the mutable V and
stable R loci in a clone of Nicotiana. Genetics 46:569-574 (1961).
Savage, J. R. K. Radiation-induced chromosomal aberrations in the
plant, Tradescantia:dose-response.curves.. I.Pre1iminary consid— f“1
1
i
E
erations. Rad. Bot. 15:87-140 (1975).
Schwartz, 0. Studies on the mechanism of crossing-over. Genetics 1
39:692-700 (l954)." ..-
Shanfield,.B., and Kafer, E. UV-sensitive mutants increasing
mitotic crossing-over in Aspergjllis nidulans. Mut. Res. 7:485-
487-(1969). :
Simpson, G. C., Roe, A., and Lewontin, R. C. Quantitative Zoology.
Harcourt, Brace and World, New York (1960).
Sinnott, E. w., and Dunn, L. c. Principles of Genetics, 3rd
Edition. McGraw-Hill, New York (1939).
Smaller, B., Avery, E. C., and Remko, J. R. Triplet-state zero-
field-splitting correlations in substituted molecules. J. Chem.
Physics 46:3976-3983 (1967).
Sondheimer, E. On the relation between spectral changes and pH
of the anthocyanin pelargonidin 3-monoglucoside. J. Am. Chem.‘
Soc. 75:1507-1508 (1953).
Sparrow, A. H., Schairer, L. A., and Marimuthu, K. M. GenetiC'
and cytologic studies of Tradescantia irradiated during orbital
flight. Bioscience 18:582-590 (1968)
Sparrow, A. H., and Singleton, N. R. The use of radiocobalt as a
source of gamma rays and some effects of chronic irradiation on
growing plants.‘ Am. Nat. 87:29-48 (1953).
Sparrow, A. H., Underbrink, A. G., and Rossi, H. H. Mutations>
induced inTradescantia by small doses-of X-rays and-neutrons -
Analysis of dose-response curves. Science 176:9164918 (1972).
131.
132.
133.
134.
135.
136.
137.
138.
139.
140.
141.
142.
180
Stern C. Somatic crossing over and segregation in Drosophila
melanogaster. Genetics 21:625-730 (1936).
Stevenson, P. E. Effects of chemical substitution on the“
electronic spectra of aromatic compounds. Part IV. A general
theory of substituent effects and its application to the spectra
of flower pigments. J. Mol. Spec. 18:51-58 (1965).
Stewart, R. N., Asen, 5., Morris, K. H., and Massie, D. R.
Relation of flower color to optical—density spectra of intact
tissue and of anthocyanin extracts. Am. J. Bot. 56:227-231 (1969).
Strasburger, E. Uber Zellbildung und Zelltheilung, H. Dabis.
Jena (1875).
1%4-‘-—.~,-_:.;
I
I
Swain, T. Nature and properties of flavonoids, in Chemistry and
Biochemistry of Plant Pigments, T. w. Goodwin, eat' Academic
Press, New York (1965).
Swanson, C. P. The distribution of inversions in Tradescantia.
Genetics 25:438-465 (1940).
The effects of ultraviolet and X-ray treatment
on the pollen tube chromosomes of Tradescantia. Genetics 27:
491-503 (1942).
Swift, H. The constancy of desoxyribose nucleic acid in plant
nuclei. Proc. Nat. Acad. Sci. 36:643-654 (1950).
Timberlake, C. F., and Bridle, P. Spectral studies of anthocyanin
and anthocyanidin equilibria in aqueous solution. Nature 212:
158-159 (1966).
Isobestic points in the
visible and ultraviolet spectra of three component systems.
Spec. Chem. Acta 23A:313 (1967).
Underbrink, A. G., Schairer, L. A., and Sparrow, A. H.
‘Tradescantia stamen hairs: a radiObiological test system appli-
cable to chemical mutagenesis, jg_Chemica1 Mutagens: Principles
and Methods for their Detection, Volume III. Plenum Press, New
York-London (1973).' ‘
Underbrink, A. G., Sparrow, R. C., and Sparrow, A. H. Relations
between phenotypic aberrations and loss of reproddctive integrity
in Tradescantia stamen hairs. Rad. Bot. 11:473-481 (1971).
143.
144.
145.
146.-
147.
181
Underbrink, A. G., Sparrow, R. C., Sparrow, A. H.,.and Rossi, H.
H. Relative biological effectiveness of X-rays and 0.43 MeV mono-
energetic neutrons on somatic mutations and:loss of reproductive
Enteggity in Tradescantia stamen hairs. Rad. Res. 44:187-203--
970 .
Vig, B. K. Relationship between mitotic events and leaf spotting
in Glycine max. Can. J. Genetics Cytol. 11:147-152 (1969).‘
Vig, B. K., and Paddock, E. F. Alteration by mitomycin C of spot
frequencies in soybean leaves. J. Hered. 59:225-229 (1968). '
Vries, H. de. Species and Varieties, their Origin by Mutation, D.
I. MacDougal, ed. The Open Court Publishing Company, Chicago
1905 .
v=.r§fiin..
I
Heinstein, A. The theory of multiple-strand crossing-over.
Genetics 21:155-199 (1936).