. 4 x; 3.1.1.: x was This is to certify that the thesis entitled ANALYSIS OF CANDIDATE GENES, PITX2, FOXC1 AND FOXE3, FOR ANTERIOR SEGMENT DYSGENESIS IN HORSES presented by Jessica A. Eason-Butler has been accepted towards fulfillment of the requirements for the MS. degree in Animal Science gtmim 4 V— Maiqggofessiar’s Signature 12-13-02 Date MSU is an Affirmative Action/Equal Opportunity Institution LIBRARY Michigan State University PLACE IN RETURN Box to remove this checkout from your record. To AVOID FINES return on or before date due. MAY BE RECALLED with earlier due date if requested. DATE DUE DATE DUE DATE DUE 6/01 cJClRC/DateDuopGS-sz ANALYSIS OF CANDIDATE GENES, PITXZ, FOXC1 AND FOXE3, FOR ANTERIOR SEGMENT DYSGENESIS IN HORSES By Jessica A. Eason-Butler A THESIS Submitted to Michigan State University In partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Animal Science 2002 ABSTRACT ANALYSIS OF CANDIDATE GENES, PITX2, FOXC1 AND FOXE3, FOR ANTERIOR SEGMENT DYSGENESIS IN HORSES By Jessica Ann Eason-Butler Anterior Segment Dysgenesis (ASD) syndrome is a congenital eye defect that occurs frequently in Rocky Mountain Horses. Anterior Segment Dysgenesis in horses manifests itself as two phenotypes: horses affected with cysts, and horses fully affected with the A80 syndrome. The objective of this study was to investigate the molecular mechanisms that underlie A80 in horses. Candidate genes, PITX2, FOXC1 and FOXE3, were chosen based on their roles in similar diseases in other species. The study population was taken from 516 horses that were previously characterized for A80. The study population was used in three experiments: 1) association study; 2) linkage study; and 3) sequence variability analysis. One marker (UM11) for FOXC1 showed a significant association between its alleles and the phenotypes when painivise comparisons of each phenotype were analyzed. However, the linkage study showed no linkage between this marker and the disease phenotypes. An additional marker for FOXC1 and a marker for PITX2 were not linked or associated with the disease phenotypes. Partial genomic sequence analysis revealed no variability in the three genes in pools of horses (n = 10 per pool) that represented the three phenotypes. Results of these studies do not support PITX2 and FOXE3 as candidate genes for Anterior Segment Dysgenesis in horses, but FOXC1 warrants further investigation. This thesis is dedimted to all of the Rocky Mountain Horse owners who were willing to acknowledge a problem in their breed and proactively pursue it. iii ACKNOWLEDGEMENTS I acknowledge a few people who have helped me along the way. I first thank Dr. Susan Ewart for pushing and teaching. I’m grateful to her for the knowledge she has given me. I also thank her for having a horse project that was , so wonderful to work with. I thank my committee members for all of their expertise and time: Drs. David Ramsey, Simon Petersen-Jones, Cathy Ernst and Dennis Banks. I am also extremely grateful to Dennis Shubitowski, not only for his help in the lab but for his friendship outside of the lab as well. He has become a good friend and like family, too. Thank you for helping me through some of the rough times, Dennis. I’ll never forget it. I thank the numerous undergraduate students who have assisted me in some way or another: Natalie Kent, Emily Susott and David Newton. Nancy Raney from Dr. Emst’s lab was also helpful and I thank her for taking the time to train me on the ABI 373 sequencer. I am very grateful for my family and friends who stood by me and supported me. I’m especially thankfulto my husband, who sacrificed some of his own dreams so that I could pursue mine. I love you. Without you, this dream of mine would never have happened. I’m especially grateful to the Rocky Mountain Horse Association who has been so willing to help us. Lots of Rocky owners have acknowledged this disease and have been wonderful enough to let us examine their horses and collect blood iv samples for our DNA analysis. I now understand Rocky Moutain owners a little better and I am a Rocky owner now because of it. I thank the association and I thank the Rocky Mountain Horse, especially a certain one that has given me love and a lot of trail miles... .Sadie. TABLE OF CONTENTS List of Tables List of Figures CHAPTER 1 LITERATURE REVIEW Introduction Ocular Anatomy Anterior Segment Dysgenesis in Horses Similar Diseases in Humans and Other Species Candidate Genes PITX2 FOXC1 FOXE3 Equine Genomics Summary Chapter 1 Tables and Figures CHAPTER 2 MATERIALS AND METHODS Study Population Genomic DNA Isolation Sample Organization Comparative Mapping DNA Microsatellite Markers PCR Amplification Marker Genotyping Statistical Analysis Linkage Analysis Primer Design Gene Sequencing Radiation Hybrid Panel Chapter 2 Tables and Figures CHAPTER 3 MARKER ANALYSIS - GENOTYPING Introduction Results Discussion Chapter 3 Tables and Figures vi 35 35 35 37 38 39 39 42 42 43 43 45 61 63 69 73 CHAPTER 4 GENE ANALYSIS - SEQUENCE Introduction Results Discussion Chapter 4 Tables and Figures CHAPTER 5 CONCLUSIONS AND RECOMMENDATIONS FOR FUTURE RESEARCH APPENDIX A APPENDIX 8 APPENDIX C APPENDIX D APPENDIX E REFERENCES vii 83 88 91 101 103 105 107 109 112 117 Tables Table 1. Pools and Plate 1 Study Population Table 2. Multibreed Pool DNA ata Table 3. Plate 2 Study Population Data Table 4. Marker Primer Data Table 5. Sequence Primer Data Table 6. SAS Results for the Association Study - HMS42 Table 7. SAS Results for the Association Study - UM11 Unaffected Horses versus Cyst Affected Horses Table 8. SAS Results for the Association Study — UM11 Unaffected Horses versus ASD Affected Horses Table 9. SAS Results for the Association Study - UM11 Cyst Affected Horses versus ASD Affected Horses Table 10. SAS Results for the Association Study - A14 Table 11. Dye Wavelengths Table 12. Dye Combinations Table 13. Dye Availability and Filter Table 14. Plate 1 Genotype Results for HMS42, UM11 and A14 Table 15. Plate 2 Genotype Results for HMS42 and UM11 viii 46-47 48 49-50 51 52 74 75 76 77 78 110 110 111 113-114 115-116 Figures Figure 1. Diagram of the Eye Figure 2. Segments and Chambers of the Eye Figure 3. Pedigree Showing Semidominant Inheritance Figure 4. Photograph of a Cyst of the Ciliary Body Figure 5 and 6.’ Photographs of ASD Syndrome Figure 7. Pedigree of the Founder Stallion Figure 8. Horse Karyotype Figure 9. Pedigree of Foundation Sire (V-30) Figure 10. Pedigree of a Common Sire (VI-7) Figure 11a-c. Comparative Map for FOXC1, PITX2, and FOXE3 Figure 12. Example of Genotyping using a 33F Radioactive Label Figure 13. Radiographic Film of Marker Sequence Figure 14. Electropherogram of a Fluorescent Genotype Figure 15a and b. Pedigree of Plate 2 Showing Genotypes for HMS42 and UM11 Figure 16. Human PITX2 Gene Structure Figure 17. Horse PITX2 lntron 2 Sequence Compared to Human Figure 18. Horse PITX2 Exon 6 Sequence Compared to Human Figure 19. Human FOXC1 Gene Structure Figure 20. Horse FOXC1 Sequence Compared to Human Figure 21. Human FOXE3 Gene Structure Figure 22. Horse FOXE3 Sequence Compared to Human ix 25 26 27 28 29-30 31 32-34 53 55-57 58 59 60 79-82 92 93 94-95 96 97 98 99 Figure 23. Agarose Gel of Hamster and Horse Sequence - FOXC1 and FOXE3 100 Chapter 1 Literature Review Introduction Anterior Segment Dysgenesis (ASD) syndrome is a congenital eye defect that occurs frequently in horses with the chocolate coat color, including the Rocky Mountain Horse. Anterior Segment Dysgenesis in horses manifests itself as two phenotypes: horses affected with ciliary or retinal cysts, and horses fully affected with the ASD syndrome, which is a collection of clinical signs that include ciliary and retinal cysts, iris hypoplasia, retinal dysplasia, retinal detachment, flattened and circumferential granula iridica, cornea globosa, iridocomeal angle abnormalities, goniosynechiae, lens subluxations, cataracts, microphthalmia, and other extra-ocular deformities such as telewnthus (abnormally increased distance between the eyes) and excessive bony protrusion of the supraorbital space (Ramsey et al. 1999a). The objective of this study was to investigate the molecular mechanisms that underlie ASD in horses using the Rocky Mountain Horse as a model. Rocky Mountain Horses have gained enormous popularity as pleasure horses because of their smooth ambling gait and gentle‘ personality. The Rocky Mountain Horse breed registry was established in 1986. Many of these horses descend from a single foundation sire. The small foundation stock appears to contribute to the high prevalence of this disease. Similar ocular diseases are well documented in humans, mice and Drosophila such as Axenfeld-Rieger Syndrome and Peters Anomaly (human), small eye and dysgenetic lens (mouse), and eyes absent (Drosophila). Anterior Segment Dysgenesis in humans is a genetic defect that involves the cornea, iridocomeal angle, iris, ciliary body, lens and retina. It occurs because of a malformation of neural-crest-derived mesenchymal tissues, which form the cornea, iris, iridocomeal angle, and ciliary body (Lines et al. 2002). Anterior Segment Dysgenesis in horses was reported as a familial abnormality with codominant inheritance (Ewart et al. 2000). To investigate the cause of ASD in horses, we began by identifying genes that logically relate to the disease. Candidate genes for ASD in horses were chosen based on genes that have been researched extensively in other species, specifically mice and humans. Mutations in FOXC1 and PITX2 have been shown to cause a disease in humans called AxenfeId-Rieger Syndrome (Espinoza et al. 2002; Saleem et al. 2001; Semina et al. 1996). Because of the similarities between AxenfeId-Rieger Syndrome and ASD in horses, PITX2 and FOXC1 were identified as candidate genes. A third gene, FOXE3, was chosen basedon reports that mutations in FOXE3 are one cause of Peters Anomaly, which is also similar to ASD in horses (Blixt et al. 2000; Semina et al. 2001). In a previous investigation, an eye development gene, PAX6, was evaluated as a candidate gene for ASD. The homeobox region of PAX6 in humans (PAX6 exon 8) was sequenced in horses to determine variability since mutations in this region in humans can be detrimental to the binding specificity of PAX6. The regions surrounding exon 8 (PAX6 intron 8, exon 9, intron 9, and exon 10) were also investigated (Shubitowski et al. 2001). From this region, 852 base pairs (excluding primers) were sequenced. One microsatellite (a poly-T repeat) and a single nucleotide polymorphism (a guanine-adenine transition) were located in PAX6 intron 8, however there was no variability found in exon 8, exon 9, intron 9 and exon 10 (Shubitowski et al. 2001). When the single nucleotide polymorphism was analyzed in 76 Rocky Mountain Horses, 73 of the 76 were homozygous, guanine-guanine, and none were homozygous, adenine- adenine. Three of the 76 were heterozygous (guanine-adenine). These results suggested that the adenine allele occurred at relatively low frequency in the population. The purpose of this literature review is to describe Anterior Segment Dysgenesis (ASD) in horses and other species, describe the candidate genes, and provide a perspective on the status of the horse genome database. The goal for the present study was to begin evaluating genes that control eye development. This was accomplished by identifying known variable microsatellites that flanked the comparable regions for the candidate genes for ASD in horses, testing these markers using association and linkage analysis for association or linkage to ASD, and identifying sequence differences between the unaffected, cyst affected and fully affected horses. Ocular Anatomy The eye is composed of two segments, the anterior segment which includes the cornea, iris, and ciliary body, and the posterior segment which includes the lens, vitreous body, and the ocular fundus (Reviewed by Forrester et al. 2002). The fundus consists of the retina, choroid, and sclera. Vitreous humor is a gelatinous fluid that fills the vitreous cavity. Anterior Segment Dysgenesis may affect all structures in the anterior segment (Figure 1) and also ocular structures located in the anterior part of the posterior segment (Ramsey et al. 1999a). The two ocular segments of the eye are divided into three chambers: the anterior chamber (in front of the iris), the posterior chamber (between the iris and the lens) and the vitreous chamber (behind the lens) (Diesem 1968) (Figure 2). The anterior and posterior chambers are joined through the pupil and are filled with a clear fluid (aqueous humor), which provides nutrition to anterior segment ocular tissues and the lens. The most anterior portion of the eye is called the cornea. The central equine cornea is 600-900 mm thick and the peripheral cornea is 850-1200 mm thick in horses (Andrew at al. 2001; Ramsey et al. 1999b). The cornea has a I surface epithelium, a middle stromal layer containing regularly arranged collagen fibers, and an inner endothelial layer containing a basement membrane (Descemet’s Membrane). The cornea also forms the anterior fibrous portion of the globe. The iris is a pigmented muscular structure that is located in front of the lens and is visible through the cornea. Its central border defines the pupil which contracts or dilates to control the amount of light that passes to the retina (Reviewed by Crispin et al. 1990). The lens is a transparent structure that is suspended in the anterior portion of the posterior segment between the aqueous and vitreous chambers. Aqueous and vitreous humor provide nourishment for the lens. Opacification of the lens (cataract) may affect vision, if centrally located. Cataracts located in the anterior or peripheral parts of the lens may also impair vision. The cornea and lens are necessary for focusing and transmitting light to the retina (Reviewed by Crispin et al. 1990). The ciliary body is continuous with the iris anteriorly and the choroid posteriorly. One of the primary functions of the ciliary body is to produce aqueous humor, which circulates through the posterior and anterior chambers and egresses through the trabecular meshwork, angular aqueous plexus, and scleral venous plexus before entering the general venous circulation (Reviewed by Gum et al. 1999). If obstruction to the outflow of aqueous humor occurs, intraocular pressure increases and may result in glaucoma. An additional role of the ciliary body is accommodation of the lens. Accommodation is caused by the contraction and relaxation of the musculature in the ciliary body, which in turn alters the shape of the lens by changing the tension on suspensory zonule fibers that attach to the lens (Reviewed by Gum et al. 1999). The ciliary body thus allows the lens to alter its refractive power allowing the animal to focus on objects at different distances (Harman et al. 1999)). A poorly developed ciliary muscle in the horse results in a poorly developed level of accommodation (Harman et al. 1999) The retina is a light sensitive neurosensory tissue that overlies the inner surface of the choroid. Histologically, the retina consists of ten layers: 1) retinal pigment epithelium, 2) photoreceptor layer, 3) external limiting membrane, 4) outer nuclear layer, 5) outer plexifonn layer, 6) inner nuclear layer, 7) inner plexiforrn layer, 8) ganglion cell layer, 9) nerve fiber layer, and 10) internal limiting membrane (Ehrenhofer et al. 2002). Layers two through ten comprise the neurosensory retina and layer 1 (retinal pigment epithelium) is non-sensory. The inner surface of the neurosensory refine is in contact with the vitreous humor (Ehrenhofer et al. 2002). The retina contains a complex system of nervous tissue that is responsible for phototransduction (conversion of light energy to chemical energy). Light rays enter the globe and are refracted to form an image on the retina. Nerve impulses from the absorption of the light energy are initiated in the rods and cones, which are located in the outer retina (Ehrenhofer et al. 2002). Rods and cones absorb the light, and then transform it into a nerve impulse. The nerve impulse is then sent via nerve fibers on to the optic nerve. The optic nerve, which is located at the back of the globe, then passes the messages onto the brain where they are translated into the visual image (Ehrenhofer et al. 2002). The eye is formed early in development of the fetus, but at this time the timing of development of the normal equine eye is unknown (Crispin 2000). The process of development is divided into three stages: embryogenesis, organogenesis, and differentiation. Embryogenesis is the segregation of the primary layers of the developing embryo, and begins just after fertilization. Organogenesis is the separation of the cells into the pattern of the various organs. The characteristic structure of each organ develops during differentiation (Reviewed by Forrester et al. 2002). The eye is derived from three neural crest cell types: surface ectoderm, neuroectoderrn, and mesenchyme (Reviewed by Crispin et al. 1990). These cells migrate into the developing eye in three waves (Churchill and Booth 1996). The first wave differentiates to form the trabecular meshwork and corneal endothelium. The second wave gives rise to the corneal stroma, which is the tissue that forms the foundation for the cornea. The third wave of cells leads to the development of the iris (Churchill and Booth 1996). The corneal stroma derives from neural crest mesoderrn that surrounds the anterior portion of the invaginating optic cup. The neural crest mesoderrn then encloses the ectoderrnal lens vesicle and the mesenchyme, which causes the anterior chamber to be formed (Reviewed by Crispin et al. 1990). The development of the anterior chamber is initiated by invagination of the lens vesicle. It involves cleavage, differentiation and atrophy of the mesenchyme that lies between the embryonic cornea and iridopupillary membrane (Reviewed by Crispin et al. 1990). The trabecular meshwork derives from undifferentiated neural crest mesodenn (Reviewed by Crispin et al. 1990). Minor anomalies that occur during anterior chamber development, such as colobomas and corneal opacities, often are due to abnormal chamber cleavage (Reviewed by Matthews et al. 1990). The lens develops in four stages: 1) formation of the lens plate, 2) formation of the lens vesicle, 3) formation of primary lens fibers, and 4) formation of secondary lens fibers (Reviewed by Crispin et al. 1990). The lens plate is formed due to proliferation of the surface ectoderrn. A hollow lens vesicle forms when the lens plate invaginates (Reviewed by Crispin et al. 1990). The lens vesicle becomes filled as the posterior lens epithelial cells elongate. After elongation, these cells make up the primary lens fibers and eventually are positioned in the center of the nucleus of the lens (Reviewed by Crispin et al. 1990). The anterior layer of epthelial cells of the lens vesicle persist throughout life and actively divide. The anterior lens capsule is the basement membrane of the anterior epithelial cells. The epithelial cells at the equator of the lens elongate to form the secondary lens fibers (Reviewed by Crispin et al. 1990). These fibers grow and encircle the primary lens fibers. Secondary lens fibers continue to be produced throughout life (Reviewed by Crispin et al. 1990). The iris, ciliary body, and choroid, collectively referred to as the uveal tract, are derived from early mesoderrn and neuroectoderrn cells. The rim of the optic cup gives rise to the formation of the iris (Crispin 2000). Abnormal development of the uveal tract can cause aniridia, persistent pupillary membrane, cysts, tumors, iris hypoplasia and colobomas (Crispin 2000). Defects that arise during induction, differentiation, proliferation or migration of any of the above structures can result in dysgenesis of the anterior segment (Semina et al. 2001). Abnormalities are classified based on the stage of development in which they occur. Defects that occur during embryogenesis are generally lethal. Those that occur during organogenesis typically result in gross deformities of the eye (Reviewed by Peiffer et al. 1999). If developmental defects occur during the fetal period when the most active stage of development has passed, minor defects are often the result (Reviewed by Cook 1999). Defects such as colobomas (portion of the structure is absent) may result from incomplete closure of the embryonic fissure (Reviewed by Matthews et al. 1990). Abnormalities that are associated with anterior segment defects, such as Axenfeld-Rieger syndrome in humans and small eye and dysgenic lens in mice, are due to a defect in the control of neural crest cell migration into the developing eye (Churchill and Booth 1996). Anterior Segment Dysgenesis in Horses _ Anterior Segment Dysgenesis in horses has a semidominant mode of inheritance (Figure 3). It is characterized by two distinct phenotypes that consist of: 1) large fluid filled cysts that originate from the posterior surface of the iris, ciliary body or peripheral retina (Figure 4), and 2) ciliary cysts accompanied by multiple anterior segment anomalies including iris hypoplasia, iridocomeal adhesions and peripheral corneal opacification, nuclear cataracts, and cornea globosa (Figure 5 and 6) (Ramsey et al. 1999a). Some of the horses affected with the syndrome also have microphthalmia, lens subluxation, retinal detachment and craniofacial abnormalities (Ramsey et al. 1999a). Horses with ASD had abnormal pupillary light responses and the pupil did not dilate with the use of mydriatic drugs (Ramsey et al. 1999a). Anterior Segment Dysgenesis in horses shows phenotypic variation with some eyes being more severely affected than others. Horses with cysts can have different size cysts and fully affected horses can have only a few clinical signs or the full range of developmental abnormalities. Typically, the defects were bilateral (observed in both eyes). The cyst phenotype is represented in the heterozygous state and the complex ASD syndrome is represented in the homozygous state. Of those horses studied, only one was blind and not as a result of the ASD syndrome (Ramsey et al. 1999a). Unlike the position in humans with Axenfeld-Rieger syndrome where glaucoma is a common occurrence, none of the affected horses examined were diagnosed with glaucoma. This could be due to the fact that in horses the majority of aqueous drainage is by the alternative drainage pathway, also known as the uveoscleral outflow, and therefore abnormalities involving the conventional drainage pathway rarely cause glaucoma in horses (Ramsey et al. 1999a). The ophthalmic abnormalities, including nuclear cataracts, appeared to be nonprogressive. Anterior Segment Dysgenesis was first identified in a breed of horse called the Rocky Mountain Horse. The Rocky Mountain Horse breed is believed to have started with a single horse that was from the Rocky Mountain region of the United States. Most pedigrees collected on this breed trace back to a single stallion, lV-7, thus this stallion is considered the foundation sire of the Rocky Mountain Horse breed (Figure 7). Horse IV-7 was not examined but seven 10 offspring (five stallions (VI-38, V-12, V-30, V-20, and V-34) and two mares (V-9 and V-29)) were examined and are included in this study (Figure 7). The cyst phenotype occurred in five of the seven offspring that were examined (Ewart et al. 2000). Because of the high occurrence of cyst-affected offspring, lV-7 is believed to have been heterozygous for ASD. Eighty-six percent of the horses in the research population of 516 horses derive from those original five half-sib stallions. A segregation analysis of 516 Rocky Mountain Horses showed that a large number were affected: 250 horses had ciliary body or retinal cysts, and 72 horses had ASD (Ewart et al. 2000). Nonpenetrance of the ASD phenotypes occurred in a small percentage of Rocky Mountain Horses and 12 of the 13 studied were traced to a shared ancestry with horse Vl-38 (Ewart et al. 2000). Similar Diseases in Humans and Other Species AxenfeId-Rieger syndrome Several diseases in humans have been identified that are similar to ASD in horses, including iris hypoplasia, Axenfeld anomaly, Rieger anomaly and syndrome, and iridogoniodysgenesis. More commonly, these diseases have been lumped together and given the umbrella name of AxenfeId-Rieger syndrome. Axenfeld-Rieger syndrome is characterized by malformations of the eyes, teeth and umbilicus (Espinoza et al. 2002). Other abnormalities detected in humans include hydrocephalus, hearing defects, cardiac and renal abnormalities 11 and congenital hip anomalies (Phillips et al. 1996). Typically, the embryos that are homozygous for Axenfeld-Rieger syndrome are not viable. Each of the individual diseases that comprise Axenfeld-Rieger syndrome have slight phenotypic differences. Axenfeld anomaly is usually characterized by posterior embryotoxon, an abnormal mesenchymal tissue that crosses the comeoscleral limbus and attaches to the posterior cornea. Rieger anomaly has the same abnormalities as Axenfeld anomaly with the addition of stromal hypoplasia, corectopia (a displaced pupil) and polycoria (supranumery pupils). Rieger syndrome has the ocular defects as described in Axenfeld-Rieger anomaly, but other body abnormalities can occur such as facial, dental and umbilical anomalies (Espinoza et al. 2002). Iris hypoplasia is the mildest form of Axenfeld-Rieger syndrome and solely affects the ocular structures. It is characterized by abnormal development of the iris stroma resulting in partial or complete absence of the iris and early onset glaucoma (Heon et al. 1995). lridogonodysgenesis is characterized by iris hypoplasia, goniodysgenesis, and juvenile glaucoma. It involves a poorly developed irido-comeal angle through which the aqueous humor must pass before exiting the eye (Smith et al. 2000). There are several possible explanations for the variability in expression of Axenfeld-Rieger syndrome. The variability could be caused by different mutations in the same gene or an interaction between the mutation and the genetic background. Another possibility is that multiple mutations in genes with related functions could cause variability in expression (Smith et al. 2000). 12 Axenfeld-Rieger syndrome is an autosomal dominant trait and has varying levels of expression. Three genetic loci have been associated with Axenfeld-Rieger syndrome and are located on human chromosomes 4q25, 6p25 and 13q14 (Nishimura et al. 1998; Phillips et al. 1996). The Axenfeld-Rieger syndrome genes on 4q25 and 6p25 were identified as PITX2 and FOXC1, respectively. No gene has been identified for the 13q14 locus (Kawase et al. 2001). Peters anomaly Peters anomaly is a form of anterior ocular dysgenesis in humans. It is characterized by central corneal opacification, which is usually bilateral, adhesion between the anterior surface of the lens and the posterior surface of the cornea, and adhesions between the iris and anterior surface of the lens (Hanson et al. 1994). The condition most often results in glaucoma (Doward et al. 1999). Three forms of this disease have been identified: sporadic, autosomal dominant and autosomal recessive (Doward et al. 1999). The majority of cases have been attributed to PAX6 mutations (Hansen et al. 1994). However, in a study by Doward et al. (1999), a splice site mutation in the third intron of PITX2 was identified in a patient with Peters anomaly with cataract'and iris hypoplasia. This study was the first to identify that mutations in PITX2 could cause both Peters anomaly and Axenfeld-Rieger syndrome. 13 Dysgenetic Lens Dysgenetic lens (dyl) is an autosomal recessive disease in mice that is very similar to other forms of anterior segment dysgenesis, specifically Peters anomaly (Blixt et al. 2000). It is characterized by small cataractous lens and other anterior segment anomalies such as: fusion of the lens, iris and cornea; corneal dysplasia; and lens and iris hypoplasia. Defects in mice are first seen at embryonic day 10.5-11 when the lens vesicle fails to separate from the ectoden'n (Semina et al. 2001). The failure of separation results in a fusion between the lens and cornea, which leads to an arrest of the development of the anterior lens epithelium (Semina et al. 2001). Small eye Small eye (Sey) is an autosomal dominant disease that affects the eyes of mice. Small eye is the murine counterpart of a human ocular anomaly, aniridia (absence of iris), and is characterized by iris hypoplasia, corneal opacification, cataracts, and microphthalmia (reduced eye size) (Presser and Van Heyningen 1998). In the homozygous state, Sey/Sey, mice have a complete lack of eyes and nasal primordium (Hill et al. 1991). Homozygous mice (Say/Soy) die perinatally due to the absence of nasal structures and pancreas, severe brain defects and lack eyes (Van Heyningen and Williamson 2002). Heterozygotes, Sey/+, have varying degrees of malformations including reduced lens size and cataracts (Dellovade et al. 1998). 14 The gene that has been predominantly associated with this disease is Pax6. It was shown by Schedl et al. (1996) that over expression of Pax6 caused reduced eye size in mice. Hansen et al. (1994) identified that a proportion of Seyl+ mice had a heterozygous Pax6 point mutation with ocular phenotypes that are similar to the human ocular disease Peters anomaly. Eyes Absent The Drosophila eye, although structurally very different from the vertebrate eye, has very similar molecular structure to the vertebrate eye. Therefore, it is often a good starting point for looking for possible causes of vertebrate ocular malformations. One such disease is called Eyes absent, which is an ocular abnormality that occurs in Drosophila melanogaster. Studies have attributed this disease to mutations in the Drosophila eye gene (Bonini et al. 1997) and a second gene that is similar to human PAX6, ey (Czemy et al. 1999). The eye and ey genes are expressed in the eye and other tissues such as: 1) the adult head, 2) the embryonic Bolwig’s organ, central nervous system, and eye-antennal discs, and 3) the larval eye-antennal discs. Mutations in these genes have been shown to result in flies with no eyes (Quiring et al. 1994). Mutations in ey affect the optic lobe, the eye, and the eye-antennal disc (Flybase, 2002). Candidate Genes There are more than 40 genes that are involved in eye development. Several of these genes have been identified as underlying the similar diseases in 15 humans and mice. Three of the genes involved in anterior segment anomalies are PITX2, FOXC1 and FOXE3. These genes are transcription factors that are highly conserved across species. Transcription factors are by definition any protein other than RNA polymerase that is required for transcription. They usually have one of three functions: 1) bind to RNA polymerase, 2) bind another transcription factor, or 3) bind to cis-acting DNA sequences. PITX2 Paired-like homeodomain transcription factor 2, PITX2, is a member of the bicoid-like transcription factor family. This gene family is involved in the genetic control of development, which includes pattern formation and cell fate determination. In several studies, it has been shown to control left-right asymmetry (Hamada et al. 2001; Kathiriya and Srivastava 2000; Liu et al. 2001). The PITX2 gene is located on chromosome 4q25 in humans. It consists of 20 kb of genomic sequence, and contains 6 exons. The initiation codon is located in exon 2 and the homeobox region is located in exon 5. Most mutations occur in the homeodomain (Espinoza et al. 2002). Several isoforms‘have been identified in human, mouse, and zebrafish. The isofon'ns are not well documented. Mutations of PITX2 have been found in Rieger syndrome patients (Semina et al. 1996). In a study by Flomen et al. (1998), it was suggested that regions upstream of the gene might contain sequences with a regulatory role in the control of homeobox gene expression. They showed that Rieger syndrome could arise from a whole gene deletion of PITX2 or from a translocation breakpoint 90 16 kb upstream from the gene (Flomen et al. 1998). PITX2 has also been identified with mutations that cause iris hypoplasia, iridogoniodysgenesis syndrome, and Axenfeld-Rieger syndrome. It has been hypothesized that mutant PITX2 proteins that retain partial function result in milder anterior segment abnormalities (Kozlowski and Walter 2000). One child presented with Peters anomaly was also found to have a mutation in PITX2 exon 3 (Doward et al. 1999). FOXC1 Forkhead box C1, FOXC1, is a member of the forkheadlwinged helix transcription factor family. It is characterized by a forkhead-binding domain that is identified by a 110-amino acid motif. The forkhead binding motif contains three alpha helices and two large loops that form the “wing” structure (Saleem et al. 2001). The forkhead domains are highly conserved across species (Kaufmann and Knochel 1996). Research has shown that FOXC1 is expressed in humans in the developing brain, skeletal system and the eye (Davies et al. 1999). Foxc1 in mice is expressed in the mesenchyme from which the ocular drainage angle is formed (Smith et al. 2000). FOXC1 is located on human chromosome 6p25. It is encoded by a single exon that is 1,662 bp in humans. In mice, Foxc1 is expressed in prechondrogenic mesenchyme, periocular mesenchyme, meninges, endothelial cells, and kidney. Mutations in FOXC1 have been identified in patients with primary congenital glaucoma, Rieger anomaly, Axenfeld anomaly, iridogoniodysgenesis syndrome, Axenfeld-Rieger syndrome and iris hypoplasia. Nishimura et al. 17 (2001) predicted that both FOXC1 haploinsufficiency and increased gene dosage might cause the anterior defects in the eye. In a study by Saleem et al. (2001), it was reported that mutations of FOXC1 in human patients with Axenfeld-Rieger malformations had a reduced FOXC1 transactivation ability. They indicated that reduced stability, DNA binding, or transactivation could cause a decrease in the ability of FOXC1 to transactivate genes that can underlie Axenfeld-Rieger malformations (Saleem et al. 2001). In studies by Nishimura et al. (1998) and Mears et al. (1998), mutations most often occurred in one of two places, nonsense mutations between the initiation codon and the forkhead domain, and missense mutations in the forkhead domain. Of the six mutations that have been identified by these studies, those located around the first helix cause more severe ocular defects (Mears et al. 1998; Nishimura et al. 1998). FOXE3 Forkhead box E3, FOXE3, is also a transcription factor that has the identifiable forkhead domain. FOXE3 is located on human chromosome 1p32. FOXE3 has a single exon with no introns. The genomic DNA in humans is 2,011 bp and the coding sequence is 957 bp. The predicted human protein is 319 amino acids in length. The forkhead domain is located between 466 bp and 732 bp, and tends to be conserved among the forkhead family. In mice, the open reading frame is 864 nucleotides encoding a 288 amino-acid protein (Blixt et al. 2000). 18 Foxe3 in mice is expressed in the lens epithelium around embryonic day 9.5 at the start of lens placode induction. Expression increases as the lens placode is formed (Blixt et al. 2000). Expression is limited to the anterior proliferating cells when lens fiber differentiation begins (Blixt et al. 2000). This study also found that sequence from a homozygous dyl mouse contained five single nucleotide substitutions, including three that altered the amino acid sequence (Blixt et al. 2000). Foxe3 mutations altered the DNA binding domain, thus causing the recessive phenotype (Semina et al. 2001). Blixt et al. (2001) concluded that Foxe3 is responsible for regulation of the closure of the lens vesicle and its separation from the ectoderm. ln dyl mice, this fails to occur. Foxe3 may also be important for the growth and viability of the lens epithelium (Blixt et al. 2000). A study by Semina et al. (2001) identified a mutation in the coding region of FOXE3 in a family identified to have anterior segment ocular dysgenesis and cataracts. This mutation caused a frameshift that resulted in abnormal sequence in the last 5 amino acids and added an additional 111 amino acids to the predicted protein (Semina et al. 2001). FOXE3 has also been implicated as a candidate gene for some forms of Peters anomaly (Blixt et al. 2000). A mutation in FOXES was identified in a family afflicted with Peters anomaly with corneal opacities and glaucoma. The G to T mutation was located in the binding domain and led to a nonconservative amino acid substitution (Ormestad et al. 2002). 19 Equine Genomics There are currently three horse genome databases: INRA (Institut National De La Recherche Agronomique) horsemap in France, ARK database in the United Kingdom, and horsemap in Japan. The horse mapping effort is focused on identifying landmarks on chromosomes and creating a framework for studying horse genes. A meeting of the mapping consortium resulted in the standard for the horse karyotypic assignment, which was established in 1997 (Figure 8). Another goal of the mapping consortium is the development of a linear linkage map for the horse, which is primarily comprised of microsatellite DNA markers and other types of polymorphic markers. Guerin et al. (1999) have a half-sibling family, based on 13 sires and 480 offspring, which is available for linkage mapping. The family is large and diverse, which provides for many opportunities to identify linkage relationships between genetic markers. The most recently published dataset for this map was produced using data from 20 laboratories in addition to the previously published data (Guerin et al. 1999). The Newmarket map is a full sibling map based on a stallion bred to two sets of identical twins to produce 60 offspring embryos. Mares were artificially inseminated and the embryos were retrieved from the uterus in order to produce the high number of offspring in a short amount of time. This design allowed researchers to make a linkage map that includes the X-chromosome (Swinburne et al. 2000). According to the INRA horsmap database as of November 30, 2002, the horse genome map consists of 427 genes and 735 microsatellites. Four hundred 20 five of those genes and 507 of the microsatellites have been mapped via linkage and cytogenetic techniques. Two mapping technologies are commonly used to map loci including genes and microsatellites; a somatic cell panel and a radiation hybrid panel. An equine somatic cell hybrid map is available through the University of California at Davis. The somatic cell hybrid panel for the horse consists of 108 horse-mouse heterohybridoma cell lines. The targeted horse DNA from each cell line is amplified using the primers for a targeted gene, and then scored for the presence or absence of horse-specific fragments after electrophoresis. This information then is utilized to identify where the gene is located in the horse genome (Caetano et al. 1999). The other mapping panel is a radiation hybrid panel. Radiation hybrid maps were first designed to aid in human gene mapping (Goss and Harris 1975). Goss and Harris pioneered this technology by using a single human chromosome, but in 1996, the idea of a whole genome radiation hybrid panel that is more efficient was developed (McCarthy 1996). The panel was created by first irradiating the genome of interest with a high dose of x-ray. The donor DNA was broken into many fragments due to the irradiation. The donor DNA was then incorporated into a recipient hamster cell line using either Sendai virus or polyethylene glycol (McCarthy 1996). The nonrecombinant donor cells died due to irradiation. The recipient cell line was labeled with a selection marker that causes any cells that are labeled with it to not grow on a hypoxanthine, aminopterin, and thymidine (HAT) medium. Recipient cells that contain the donor 21 cells were the only ones that would grow colonies on HAT medium (McCarthy 1996). The colonies were then selected and expanded for DNA extraction, and placed into a 96-well format. The panel was then screened for genetic markers and the retention pattern for each hybrid was compared to determine linkage and map distances between markers (McCarthy 1996). Radiation hybrid mapping is an efficient mapping tool and allows researchers to map both polymorphic and nonpolymorphic markers (McCarthy 1996). Radiation hybrid panels are used for ordering markers in the region of interest and for establishing the distance between these markers. The radiation hybrid panel is extremely useful and efficient for mapping in horses since there is minimal characterization of the horse map and horses have long gestation periods and single births, which makes it difficult to produce a large mapping family (McCarthy 1996). There are currently two groups that have a horse/hamster radiation hybrid panel, Dr. Bhanu Chowdhary at Texas A&M University and a privately owned company, ResGen (A subsidiary of lnvitrogen Corp, California). Dr. Chowdhary’s radiation hybrid panel was created using 5000..., of x-rayto irradiate horse DNA from a normal diploid Arabian male horse (Chowdhary et al. 2002). The recipient cell line is a non-irradiated thymidine-kinase (T K-) deficient hamster cell line (A23). The average retention rate for seven of the chromosomes (3, 4, 10, 11, 14, 20 and X) tested in the study was approximately 26%, which is predicted to be representative of the whole genome (Chowdhary et al. 2002). Retention rate 22 is the amount of donor DNA retained by the hybrids in the panel and is usually estimated as an average over all of the chromosomes. The ResGen radiation hybrid panel consists of 90 radiation hybrid clones covering the entire equine genome (Kiguwa et al. 2000). An equine cell line (donor: EEL/SO+, male horse embryonic endothelial primary lung cells) was exposed to 3,000 rad of x-rays and then fused with non-irradiated thymidine- kinase (T K-) deficient hamster recipient cells (A23). The average retention is estimated at 28% (Kiguwa et al. 2000). Literature Review Summary By comparing the phenotypes of equine ASD with known, well-researched diseases in humans and other species, we have identified candidate genes that may underlie this disease in horses. Anterior Segment Dysgenesis is very similar to Axenfeld-Rieger syndrome, Peters anomaly, Small eye and dysgenic lens. Defects of all five syndromes include iris hypoplasia, iridocomeal adhesion, corneal opacification, and nuclear cataracts. A major difference between humans, mice and horses is that horses with ASD have a homozygous phenotype that is viable, whereas mice and humans do not. While glaucoma is documented in more than 50% of the diagnosed cases 'in mice and humans (Espinoza et al. 2002), horses with ASD do not have glaucoma (Ramsey et al. 1999a). By determining the similarities of the diseases, researchers may investigate the genes known to cause the diseases in other species and apply this knowledge to investigating the mechanisms that underlie ASD in horses. 23 Chapter 1 Tables and Figures 24 Canal or Schlemm Vitreous Retinal Pigment Epithelium Figure 1. Diagram of the eye. Anterior Segment Dysgenesis syndrome can affect all of the structures of the anterior segment (front portion) of the eye including the cornea, iris, pupil, ciliary body and lens. The retina and exterior ocular structures can also be involved (Figure from Prince, 1960). 25 Posterior Vitreous Chamber Chamber Ciliary Body Anterior Chamber Pupil ,il Optic Nerve Lens I ] Anterior Segment Posterior Segment Figure 2. Segments and Chambers of the Eye. The eye is divided into two segments: the anterior segment which includes the cornea, iris, lens, ciliary body and anterior parts of the retina; and the posterior segment which starts at the posterior surface of the lens and goes to the optic cup. The segments are divided into three chambers: 1) anterior chamber (spotted black); 2) posterior chamber (solid black); and 3) vitreous chamber (white) (Figure adapted from Gelatt 1999). 26 1 1 Elwin? {limo ( Ill-121 one 01-120 mos Ill-30 tic-a Figure 3. Anterior Segment Dysgenesis is inherited in a codominant manner. One segment of the population exhibits incomplete penetrance. This is displayed in the offspring of VIII-124 and Vl-9, where one of the offspring is phenotypically normal. The roman numeral indicates the generation number and the following number is the animal identification number. The squares represent males and the circles represent females. A blank symbol indicates an unaffected horse, half filled indicates a cyst affected horse and a solid symbol indicates a fully affected horse. A symbol with a question mark indicates an animal that has not been examined. (Adapted from Ewart et al. 2000) 27 Figure 4. Photograph of a horse’s left eye containing a cyst (arrows) of the ciliary body. 28 A) 3) Figure 5. Photographs of the right cornea of two horses. (A) Corneal curvature of an unaffected horse. (B) Cornea globosa is characterized by an excessively large corneal optical diameter and excessive protrusion. This is a deformity that commonly occurs in horses with ASD syndrome. 29 Figure 6. (A) Photograph of an unaffected horse eye. (B) Photograph of a horse with ASD syndrome. The arrows point to iridocomeal adhesion and the arrowheads point to an encircling and flattened granula iridica. This eye also has cornea globosa and iris stromal hypoplasia. 30 0 11-1 114 I] ———— 0 111-3 111-2 a) —— ------ e / 1v-7 111-1 0 Form 0 v.21 0 0 0 0 I I O I I O I was v-12 v 11 V40 v 20 v.29 v 34 Figure 7. Rocky Mountain Horse Pedigree. Horse IV-7 is believed to be the founder stallion. Eighty-six percent of the horses in the study population derive from the five half-sibling sons (VI-38, V-12, V-30, V-20, and V-34). (Adapted from Ewart et al. 2000). 31 SIR-Ella. III: I... I..2 37 9.0.9. ‘5. II gun—I-Iar §~I.-I :I‘E. octave 0 ‘ I , if ' r“, . is .III 4 ‘8‘: is! w .d a. In. u. 53...... 5: Eu. .I It a I. e .5 '9» I. In... . 6 iii! a... at a... In. C o e .35 a... :50 :52... .8. .2: as. :u. 7 93:3. ufilr. no.9. :3 :6 III ‘5 _- ~I_I~O .3 .I I1 no... . I. 2! ‘ eh ., ' a“ gnu 5...: 5.9 pea-l... I! II h 9. Figure 8. Karyotype of the horse. Horse chromosomes 1-10. The standard horse karyotype was identified at the Second lntemational Conference for Standardization of Domestic Animal Karyotypes (Richer et al. 1990). 32 on. 3...! may: 3.!15 Ruin-t... a. as. $5. 36v Run-aw In. null-m. 0-.- I. Figure 8 (Cont). Horse Karyotype. Chromosomes 11-21 (Richer et al. 1990). 33 i as: mitt“ 24 25 5""EE 3%.- "”3515; 25 27 ~11le ‘38 ’T' @3925: 23 29 3° 31 Figure 8 (Cont). Horse Karyotype. Chromosomes 22-31, X and Y (Richer et al. 1990). CHAPTER 2 MATERIALS AND METHODS Study Population Ophthalmic examinations, blood samples and pedigree information were collected prior to the current study on a population of 516 Rocky Mountain horses that represented nine generations of an extended family. Another 232 horses that extend back another four generations had just pedigree information, for a completed pedigree of 748 horses in 13 generations. The horses were from 30 different farms in six states: Michigan, Indiana, Illinois, Kentucky, Missouri and Ohio (Ramsey et al. 1999a). The horses ranged in age from 10 hours to 29.2 years. Eighty-six percent of the research population can be traced back to five stallions that derive from a founder stallion. Genomic DNA Isolation Blood samples (n = 516) were previously collected from the study population, and genomic DNA was isolated from peripheral white blood cells by a modification of the sodium perchlorate extraction technique (Johns and Paulus- Thomas 1989) and stored for the current study. Sample Organization Equimolar amounts of DNA from individual animals were combined, or “pooled” to create polyallelic samples of DNA (hereafter referred to as pools). 35 Pools were developed to increase the efficiency of analyzing markers and sequence data within groups of animals that had the same phenotype. Eleven pools of DNA from ten horses each were designed based on the horses’ phenotypes (Table 1). There were seven pools that collectively contained all of the 70 fully affected horses in the population, two pools of horses with cysts and two pools of unaffected horses. If a difference was found in a pool, then the variability was individually typed in all of the horses in that pool. There were three DNA control samples, a single Rocky Mountain Horse, a single Morgan horse and a pool of ten different breeds of horses, which included American Paso Fino, Belgian, Morgan, Paint, Pinto, Pony of America, Quarter Horse, Standardbred, Thoroughbred, and Arabian (Table 2). .1 Two approaches, association and linkage analysis, were taken to initially test markers. The samples were organized into a 96—well format commonly referred to as a plate. For the association study, the first plate (RMH plate 1) consisted of horses taken from the pools: all 70 fully affected horses, 11 horses with cysts, and 13 unaffected horses (Table 1). For linkage analysis, a second plate was designed (RMH Plate 2) that consisted of horses that were a segment of the extended family (I able 3). One of the five original stallions, V-30, and his offspring were chosen for plate 2 based on the availability of parent and offspring DNA (Figure 9). Also included on this plate is a son of V—30, VI-7, and all of VI-7’s offspring and their dams (Figure 10). Horses for both plates were chosen based on their phenotype and quality of DNA. 36 Comparative Mapping Due to the incomplete characterization of the horse genome, a comparative map had to be established comparing the locations of horse and human genes (Figure Ila-c). The candidate genes (PITX2, FOXC1 and FOXE3) have been mapped in humans, but not horses. By comparing genes that map near a candidate gene in humans to those already mapped in horses, one can infer where the genes most likely reside in horses. FOXC1 has been mapped to human chromosome 6 between F13A (6p25.3—p24.3) and PIM1 (6p21.2) at 6p25 (Figure 11a). F13A maps to horse 20q13 and PIM1 maps to horse 20q24. Other genes that are mapped near FOXC1 in humans are ITPR3 and MUT. These genes map to horse 20q21. Since this large segment of human chromosome 6 appears to be conserved on chromosome 20 in horses, it is hypothesized that FOXC1 is located between F13A and PIM1 on horse chromosome 20. Genes on the q arm of human chromosome 6, ME 1 and PEX7, have been mapped to horse chromosome 10. Because this region is physically distant from FOXC1, horse chromosome 10 is not as likely to contain FOXC1. PITX2 is located on human chromosome 4q25 between genes MTP and SMARCA5, located at 4q24 and 4q31.1-31.2, respectively. Other- genes that have been mapped cytogenetically near PITX2 on human chromosome 4 are ALB, KIT and UCHL1, located at 4q11-13, 4q11-12, and 4p14, respectively; these genes map to horse chromosome 3q. MTP and SMARCA5 have been mapped to horse chromosome 2q (Figure 11b). It is likely that PITX2 in horses is 37 located on horse chromosome 2q between MTP (2q13) and SMARCA5 (2q21) due to the high degree of conservation between humans and horses. FOXE3 is located on the p arm of human chromosome 1 at 1p32. Genes that are mapped in both humans and horses that surround FOXE3 are PGD, MATN1, FUCA1, and VCAM1 (Figure 11c). PGD, MATN1, and FUCA1 are mapped to horse chromosome 2p. However, VCAM1 has been mapped to horse chromosome 5. Therefore, FOXE3 in horses may be located on either horse chromosomes 2p or 5q. Horse chromosome 2 was chosen to pursue due to the availability of markers, but if results exclude chromosome 2, then the location on chromosome 5 can be pursued. Mapping of these genes would aid in marker selection. DNA Microsatellite Markers DNA markers were identified that were located near the hypothesized locations of the candidate genes on the comparative maps (Figure 11). Since the genomic map of the horse is in the beginning stages of development, few markers were available, so the markers chosen were based on reported location, heterozygosity, and number of alleles. Oligonucleotide primer sequences were obtained from published protocols for each DNA marker. A number of markers were tested and at least one marker was successfully optimized for each candidate gene to test across the 2 plates (Table 4). 38 PCR Amplification DNA samples were amplified by the polymerase chain reaction (PCR) for either genotyping or sequencing analysis. The PCR mixture contained 50 ng of genomic DNA from either the single horse sample or pooled samples combined in a 25 pl volume with ZOmM Tris-HCI pH 8.3, 50 mM KCI, 1.5 mM MgCl2, 200 mM each dNTP, 20 pmol of each primer, 1.25 U Taq polymerase, unless otherwise noted in Table 4. The reactions were performed on a Perkin Elmer 9600 Geneamp PCR System (Norwalk, CT), MJ Research FTC-200 DNA Engine (Watertown, MA) or a Stratagene Robocycler (La Jolla, CA) using a 1 minute 95 degree denaturation, 1 min 55 degree annealing and 1 min 72 degree extension unless otherwise noted in Tables 4 and 5. The PCR products were optimized by adjusting annealing temperatures, magnesium concentrations and PCR cycling conditions as needed (Tables 4 and 5). Marker Genotyping Three detection methods were used for genotyping: ethidium bromide staining of DNA in agarose gels, randomly incorporated radioactively labeled (dCTP) PCR products, and fluorescently labeled primer PCR products. Each marker was initially tested on agarose gels to detect if the primers yielded a product of the expected size. Markers were then tested with either a radioactive or fluorescent label. Radioactively labeled products were separated on polyacrylamide gels rather then agarose gels to allow for resolution of products that differed by only a few base pairs in length. The disadvantage to this method 39 is that if markers are not fully optimized, the true alleles can often be masked by strand slippage artifacts (peaks with sizes in multiples of two base pairs smaller than the actual allele size). Fluorescently labeled products were separated on polyacylamide gels using either an ABI Prism 373 or 377 DNA sequencer (Applied Biosystems, CA) that excites the fluorescent label and produces electropherograms that allow visualization of the product and its size. This technique also has disadvantages in that if the product is not optimized, it can produce strand slippage artifacts or a pattern that does not allow for a distinct size allele to be called, such as a bell-shape. All of the markers were initially tested on the two single horse controls and the pool of multiple breeds and were detected on 4.5% agarose gels (3 grams of agarose, 1.5 grams of NuSieve combined with 100 ml of TAE buffer) that were stained with ethidium bromide to see if product was obtained with the given conditions. If no product was obtained, the conditions were altered until optimization was achieved. The markers were then tested in the pools of horses using a 33p radioactive label (dCTP), which was randomly incorporated in the PCR at C nucleotides. The PCR products were separated on 5.75% Long Ranger Singel (BioWhittaker Molecular Applications, ME) acrylamide gels. The gels were dried and exposed to Biomax MR radiographic film (Eastman Kodak Corp., Rochester, NY) for 24 to 72 hours. After developing, the films were analyzed to determine if there was variation between the alleles of the fully affected, cyst affected and normal individuals. To confirm variability seen in the 40 pools, the individual horses were radioactively genotyped following the procedure above (Figure 12). The DNA sequence of each marker was confirmed as follows: the primer pairs were optimized and products from the optimized PCR reactions of each primer pair for two single horses (one cyst affected Rocky Mountain Horse and one Morgan) and the pools of horses (multi breed pool, unaffected pool, cystme and ASD pool) were separated on 0.8% agarose gels. The DNA bands of interest were excised from the gels and the DNA was isolated using the Qiaquick ll Gel Extraction Kit (Qiagen Inc., Valencia, CA) (See Appendix A). Purified DNA templates were sequenced using the Therrno Sequenase radiolabeled terminator cycle sequencing kit (USB, OH) (See Appendix B). The products from the sequencing reactions were separated on 5.75% acrylamide gels (See Appendix C). The gels were dried and exposed to film. Sequences were read manually (Figure 13) and sequence identities were confirmed by performing Basic Local Alignment Search Tool (BLAST) searches of the GenBank database (NCBI, 2002) Individual genotypes were verified using fluorescently labeled primers in the PCR reactions. Primers for each marker were labeled a different color (6- FAM, HEX, NED or TET (lDTDNA, Iowa)) since each dye fluoresces at a different wavelength (See Appendix D). The different colored dyes allow for similar sized products to be multiloaded for each sample, which allowed for more efficient use of each gel. The labeled PCR products from horses from both plates were analyzed on an ABI 377 PRISM sequencer (Figure 14). Once samples 41 were loaded, voltage was applied so that the negatively charged DNA migrates toward the anode, which causes the fragments to move through the gel and separate according to size. At the lower portion of the gel, the fragments pass through an area called the “read region”, where a laser beam continuously scans across the gel. The laser excites the fluorescent dyes that are attached to the fragments and when this occurs the fragment emits light at a wavelength specific for each dye. At the end of data collection, analysis software (ABI Prism Genescan Analysis) was used to process, analyze and translate the collected data into fragment size lnfonnation. Statistical Analysis To determine if there was an association between the alleles identified for the samples on plate 1 (plate of disease phenotypes) and the disease phenotypes, the chi square option of SAS Version 8.02 (SAS Institute 1999- 2001) was used. To accommodate for the low sample size within some of the allele sizes, the Fishers Exact test was computed. A 95% confidence level was used so that p-values of less than 0.05 would be considered significant. Linkage Analysis Two point analysis was performed on the genotype data from the plate containing the half-sib family using the CRIMAP software version 2.4 (Green et al. 1990). Two point analysis allows each marker to be tested for pairwise linkage 42 against the disease phenotype. The lod score threshold was first set at 0.0 to determine if there was any suggestion of linkage. For Mendelian traits, a Iod score threshold of 3.0 is accepted as significant evidence for linkage. Primer Design Primer pairs for amplifying the candidate gene(s) were designed from known conserved human and mouse DNA sequences that were obtained from Genbank entries (Table 5). The computer program Oligo, Version 6.65 (Rychlik and Rychlik 2002), was used to design the primers. When choosing the primers from those that Oligo designed, several rules of design were followed. Since variability tends to be more common in the introns of sequence, primers were designed in exon sequences that flanked intron sequence wherever possible. They were also designed over less mutable amino acids and in most cases the 3’ end of each primer was designed to match the second codon position of an amino acid with low mutability, which minimizes the chance of a mismatch at this position (Collins and Jukes 1994). Primer pairs were also matched based on similar annealing temperatures, and the potential for primer-dimer formation was avoided. Primers were no shorter than 15 bp and generally not longer than 25 bp. Gene Sequencing Controls for sequence reactions included one Rocky Mountain Horse of each phenotype and one human sample, since the primers were designed based 43 on human sequence. The phenotype pools used for genotyping were used to sequence the candidate gene to look for variability among the three phenotypes. Pools allowed for a greater efficiency of detecting variability. When variability was identified, individual horses from each phenotype were tested to verify the sequence difference. Sequence for Radiation Hybrid Mapping For radiation hybrid panel mapping, short segments of less than 400 bp of horse DNA are needed that are not conserved in hamster in order to map a gene. If equine specific amplification is successful, a binary code is generated and when compared to a database, the sequence is localized to a certain region of a particular chromosome, thus giving the location for the gene in the horse genome. For genes with more than one exon such as PITX2, the DNA segments that contain introns are preferred since intronic sequences are not as conserved as exonic sequence. FOXC1 and FOXE3 have only one exon, so primers were designed in highly conserved areas, such as binding domains that flank areas that were not as conserved across species. Identification of sequence that was not conserved with hamster was attempted, so that the hamster/horse radiation hybrid panel (Chowdhary et al 2002) could be screened to determine which of the cell lines contained the equine specific DNA sequence. 44 Chapter 2 Tables and Figures 45 Tablet.PoolsandPlatelStudyPopulation 80015202112 W W W [ML Gen’ Animal Farm Patient Sire Darn A280 4200 m A301 9 93 828 3 2 2 0.083 0.033 315 1.91 8 128 837 3 4 4 0.038 0.027 190 1.41 0 112 045 3 2 4 0.070 0.042 300 1.01 10 131 848 3 2 3 0.107 0.071 535 1.51 10 17 852 3 4 4 0.107 0.057 535 1.88 10 107 o 13 3 4 2 0.024 0.007 120 3.43 10 124 098 3 2 2 0.171 0.1 855 ' 1.71 10 30 N 0 3 4 4 0.050 0.020 200 2.00 0 100 w0 3 4 4 0.042 0.010 210 2.21 10 100 z 2 3 2 2 0.110 0.054 500 2.15 A502 10 11 8 4 3 2 2 0.11 0.085 550 1.89 7 03 012 3 2 2 0.104 0.100 070 1.70 0 07 020 3 2 2 0.040 0.021 240 2.20 10 14 050 3 2 2 0.144 0.003 720 1.73 11 11 053 3 2 3 0.144 0.070 720 1.02 11 40 050 3 2 3 0.112 0.000 500 1.05 10 00 c 7 3 2 2 0.10 0.000 000 1.03 10 117 o 5 3 2 3 0.000 0.001 400 1.57 0 10 o 37 3 2 2 0.222 0.102 1110 1.37 10 All 0 04 3 2 3 0.100 0.000 005 3.02 , ASD3 10 105 o 10 3 4 4 0.044 0.010 220 2.44 1 1 20 F 18 3 4 4 0.047 0.025 235 1.88 10 113 G 9 3 4 4 0.057 0.02 285 2.85 10 111 027 3 4 4 0.270 0.151 1300 1.04 10 100 K18 3 4 2 0.028 0.013 130 2.00 11 39 031 3 2 2 0:101 0.058 505 1.74 8 58 U1 3 2 2 0.041 0.014 205 2.93 0 57 us 3 2 2 0.054 0.03 270 1.00 0 22 W7 3 2 4 0.054 0.022 270 2.45 10 20 we 3 2 3 0.140 0.003 730 1.57 A804 11 10 040 3 2 3 0.157 0.007 705 1.00 10 120 o 12 3 2 2 0.074 0.045 370 1.04 10 00 r 0 3 3 2 0.077 0.040 305 1.07 0 7 K 5 3 3 4 0.000 0.040 445 1.02 11 10 K 0 3 2 2 0.004 0.044 320 1.45 1 1 23 K11 3 2 2 0.098 0.077 490 1.27 10 125 KKKKK13 3 2 2 0.05 0.027 250 1.85 8 98 R 8 3 2 4 0.089 0.033 345 2.09 0 07 R 0 3 2 4 0.074 0.020 370 2.55 10 51 we 3 2 3 0.000 0.035 330 1.00 ASD5 0 10 010 3 2 2 0.107 0.00 535 1.70 0 11 015 3 2 2 0.103 0.001 515 1.00 10 10 023 3 2 2 0.025 0.010 125 1.50 10 110 025 3 2 2 0.04 0.015 200 2.07 10 110 020 3 2 1 0.050 0.03 205 1.07 0 12 030 3 2 4 0.054 0.027 270 2.00 10 5 B34 3 2 2 0.048 0.022 230 2.09 7 85 B39 3 2 2 0.208 0.115 1030 1.79 11 2 D 28 3 4 0 0.041 0.014 205 2.93 11 31 I 0 3 4 1 0.001 0.031 305 1.07 A806 8 124 A1 3 3 0 0.088 0.034 880 1.94 10 10 822 3 4 3 0.042 0.018 210 2.33 8 105 880 3 3 0 0.118 0.073 580 1.59 10 67 C19 3 3 2 0.097 0.063 485 1.54 9 75 C21 3 3 2 0.112 0.073 580 1.53 1 1 25 C29 3 3 2 0.058 0.04 290 1.45 11 17 C33 3 3 2 0.084 0.048 420 1.75 10 42 F15 3 4 1 0.142 0.107 710 1.33 unk F19 3 0 0 0.122 0.085 810 1.44 8 89 M 4 3 4 0 0.06 0.038 300 1.87 A O) Table 1 (Cent). Pools and Plate 1 Study Population 201620112 10000231100 2110130111201 0862013030101 101000 Gen: Animal Farm Patient Sire Dem A200 A200 mm: M A007 10 10 047 3 2 2 0.051 0.020 255 1.02 10 13 013 3 2 1 0.002 0.057 410 1.44 7 50 c 1 3 2 4 0.100 0.055 545 1.00 10 43 F18 3 4 0 0.070 0.034 300 2.20 10 30 628 3 2 0 0.003 0.052 405 1.70 10 03 L3 3 2 1 0.003 0.053 415 1.57 0 10 o 0 3 2 0 0.000 0.042 330 1.57 11 42 024 3 2 1 0.002 0.033 310 1.00 11 10 029 3 2 2 0.035 0.011 175 3.10 mm 3 4 4 0.005 cross 425 1.31 Cyst A 0 7 021 2 2 1 0.077 0.042 305 1.03 7 01 0 22- 2 2 0 0.073 0.030 305 2.03 0 117 0 0 2 2 4 0.115 0.07 575 1.04 10 70 010 2 2 0 0.075 0.045 375 1.07 0 04 R12' 2 2 1 0.053 0.010 205 2.04 7 00 R3' 2 2 4 0.005 0.042 425 2.02 7 20 U4 2 2 1 0.004 0.033 320 1.04 0 10 us 2 2 0 0.054 0.03 270 1.00 10 130 W? 2 2 3 0.051 ' 0.032 255 1.50 10 21 Q0 2 2 2 0.075 0.000 375 1.02 Cyst 0 0 0 0 3- 2 2 0 0.000 0.047 345 1.47 7 40 wide 2 2 0 0.000 0.047 400 2.00 0 77 1:2- 2 2 0 0.050 0.025 200 2.24 0 02 010' 2 2 0 0.030 0.017 105 2.20 11 30 020 2 2 0 0.047 0.020 235 1.01 7 00 r 3 2 2 o 0.040 0.020 245 1.00 5 12 Tim 2 - 0 0.004 0.042 420 2.00 0 17 c s 2 2 0 0.074 0.030 370 1.05 10 01 c 0' 2 2 0 0.051 0.023 255 2.22 0 14 c 1 2 4 0 0.001 0.044 405 1.04 Unaffected A 5 10 0 00 1 0 0 0.007 0.040 435 1.00 0 15 0 04' 1 0 0 0.00 0.020 300 2.07 0 01 0114 1 0 0 0.005 0.051 .. 475 1.00 s 14 0121 1 0 0 0.000 0.052 445 1.71 0 111 0125 1 0 0 0.075 0.04 375 1.00 0 55 0130 1 0 0 0.000 0.037 345 1.00 0 00 020 1 0 0 0.043 0.020 215 1.05 0 43 L4' 1 0 0 0.011 0.005 55 2.20 0 05 z 0 1 0 0 0.11 0.007 550 1.04 5 20 1111- 1 - 0 0.125 0.050 025 2g Unaffected 0 7 53 020- 1 2 0 0.000 0.004 440 1.30 10 7 020- 1 2 1 0.00 0.000 450 1.30 7 0 .110- 1 2 0 0.001 0.050 455 1.57 7 1 KKKKK11 1 2 1 0.070 0.040 300 1.50 10 01 KKKKK14 1 2 1 0.003 0.057 405 1.03 7 00 037 1 2 0 0.005 0.051 , - 475 1.00 5 0 U7 1 - 0 0.052 0.03 200 1.73 10 114 w 1- 1 2 4 0.000 0.050 340 1.21 7 07 211 1 2 1 0.150 0.1 700 1.50 7 05 z 5 1 2 1 0.123 0.000 015 1.01 ‘ Phenotypes: 0-Unexamined, 1-Unal'fected. 2-Cyst Aliected, 3-ASD Affected. 4-Unexamined but 03005 to founder stallion '-Founder Stallion (unexamined) 2 Gen= Generation of horse 3 The stock DNA concentration is calculated by (A260'(50'Dilution)). In all samples dilution = 100x. 47 Table 2. Multibreed Pool DNA Data Breed Sample ID A260 A200 :75? A260/A280 Pasofino AP CP-1 0.056 0.028 280 2.00 Belgian Bel CP-l 0.098 0.062 490 1.58 Morgan Mor M-1 0.173 0.101 865 1.71 Paint Paint CP-7 0.147 0.097 735 1.52 Pinto Pinto CP-4 0.068 0.042 340 1.62 Pony of America POA CP-1 0.082 0.053 410 1.55 Quarter Horse QH M-5 0.017 0.013 85 1.31 Standardbred STD CP-7 0.043 0.023 215 1.87 Throughbred TB CP-6 0.107 0.055 535 1.95 Arabian Arab M-5 0.129 0.067 645 1.93 1The Stock DNA concentration is calculated by (A260*(50*Dilution)). In all samples dilution = 100x. 48 Table 3. Plate 2 Study Population identification Phenogpe‘ 000mm Genz Animal Farm Patient Sire Dam A280 A280 [stock] A260IA280 jig/ml3 5 29 W 1 * 0 0.137 0.007 005 2.04 10 10 047 3 2 2 0.002 0.047 410 1.74 10 110 00 2 2 3 o. 070 0.04 390 1.95 7 13 030 1 2 2 0.09 0.044 450 2.05 10 0 017 1 2 1 0. 050 0.027 295 2.10 9 110 .10 2 2 4 011 0.005 550 1.09 0 13 03 1 4 0 0. 073 0.030 305 1.92 0 10 014 2 3 2 0. 414 0.340 2070 1.10 0 130 G4 2 4 o o. 047 0.021 235 2.24 10 10 023 3 2 2 o. 057 0.029 205 1.97 10 123 R4 2 2 3 0.102 0.007 010 1.00 9 33 I5 1 4 0 0.045 0.019 225 2.37 10 115 R10 2 2 4 0.100 0.054 530 1.00 10 05 00 2 2 2 0.050 0.020 200 2.07 9 4 033 2 2 4 0.059 0.035 295 1.09 10 7 020 1 2 1 0.090 0.054 490 1.01 0 30 E1 2 * 4 0.044 0.024 220 1.03 10 40 10 1 2 1 0.000 0.034 330 1.94 0 20 05 2 2 4 0.071 0. 041 355 1.73 7 09 R3 2 2 4 0.132 0. 073 000 1.01 7 10 R5 2 2 0 0.097 0.045 405 2.10 0 04 R12 2 2 1 0.114 0. 001 570 1.07 9 100 we 3 4 4 0.171 0. 157 055 1.09 0 24 07 2 2 0 0.152 0.109 700 1.39 9 29 00 1 2 2 0.002 0. 04 410 2.05 10 12 031 2 2 2 0.049 0. 021 245 2.33 10 5 034 3 2 2 0.055 0. 029 275 1.90 0 51 004 1 2 0 0.11 0.001 550 1.00 7 04 002 2 2 1 0. 009 0. 034 345 2.03 9 09 I3 1 4 4 0.107 0 055 535 1.95 10 90 I4 1 2 1 0. 004 o. 031 320 2.00 10 01 KKKKK14 1 2 1 0.110 0. 00 590 1.97 10 21 00 2 2 2 0. 075 0. 039 375 1.92 10 70 019 2 2 o 0. 052 0. 025 200 2.00 10 114 W1 1 2 4 0. 004 0.035 320 1.03 0 33 W5 1 4 0 0. 072 0.044 300 1.04 9 22 W7 3 2 4 0.110 0.00 500 1.45 10 29 W8 3 2 3 0.102 0.009 510 1.40 10 109 W10 2 2 3 0.030 0.035 100 1.03 0 9 A7 2 0 0 0.032 0. 012 100 2.07 9 9 03 2 2 4 0.052 0.023 200 2.20 9 5 010 1 4 4 0.101 0.057 505 1.77 0 7 021 2 2 1 0.097 0.05 405 1.94 10 110 020 3 2 1 0.059 0.03 295 1.97 9 90 027 2 2 3 0.000 0. 034 340 2.00 9 12 030 3 2 4 0.042 0. 021 210 2.00 11 9 032 2 2 2 0.07 0. 037 350 1.09 0 0 035 1 4 0 0.04 0.017 200 2.35 9 2 030 2 2 1 0. 040 0.023 240 2.09 9 1 1 1 030 2 2 3 0.125 0.004 025 1.95 .h. (D Table 3 (Cent). Plate 2 Study Population Identification Phengym1 D P 0 Gen2 Animal Farm Patient Sire Dam A260 A280 [stock] A260IA280 ttg/ml3 7 3 B42 1 2 1 0.086 0.047 430 1.83 6 12 843 1 2 0 0.052 0.026 260 2.00 9 10 849 2 4 4 0.07 0.034 350 2.06 8 41 857 2 2 0 0.073 0.041 365 1.78 9 45 858 1 2 2 0.112 0.059 560 1.90 9 95 D11 2 2 3 0.236 0.187 1180 1.41 9 81 D33 2 2 2 0.078 0.04 390 1.95 8 119 D95 2 4 4 0.029 0.014 145 2.07 10 124 D96 3 2 2 0.176 0.095 880 1.85 9 96 J5 2 2 2 0.083 0.046 415 1.80 10 139 W2 2 2 3 0.047 0.022 235 2.14 10 56 W3 2 2 4 0.124 0.064 620 1.94 10 11 B4 3 2 2 0.11 0.065 550 1.69 9 68 B5 2 4 0 0.083 0.041 415 2.02 8 17 B9 2 0 0 0.058 0.025 290 2.32 9 126 811 2 4 4 0.087 0.043 435 2.02 7 63 812 3 2 2 0.135 0.069 675 1.96 9 11 815 3 2 2 0.087 0.045 435 1.93 9 97 820 3 2 2 0.083 0.042 415 1.98 10 1 19 825 3 2 2 0.081 0.042 405 1.93 9 12 830 3 2 4 0.042 0.021 210 2.00 8 128 837 3 4 4 0.054 0.026 270 2.08 7 65 839 3 2 2 0.161 0.089 805 1.81 9 112 845 3 2 4 0.076 0.042 380 1.81 10 14 850 3 2 2 0.122 0.064 610 1.91 10 17 852 3 4 4 0.058 0.03 290 1.93 11 11 853 3 2 3 0.116 0.06 580 1.93 1 1 48 856 3 2 3 0.078 0.041 390 1.90 8 105 860 3 3 0 0.083 0.046 415 1.80 8 49 862 2 4 0 0.069 0.033 345 2.09 7 50 C1 3 2 4 0.109 0.055 545 1.98 10 68 C7 3 2 2 0.161 0.086 805 1.87 10 117 DS 3 2 3 0.055 0.028 275 1.96 9 117 06 2 2 4 0.08 0.04 400 2.00 8 54 D34 2 4 4 0.055 0.027 275 2.04 9 54 D36 1 2 2 0.086 0.048 430 1.79 9 19 D37 3 2 2 0.036 0.016 180 2.25 7 47 065 1 2 1 0.068 0.038 340 1 .79 10 120 D84 3 2 3 0.146 0.077 730 1.90 6 55 D136 1 0 0 0.101 0.06 505 1.68 5 12 Tim 2 * 0 0.097 0.065 485 1 .49 6 16 U6 2 2 0 0.071 0.03_2 355 2.22 ' Phenotypes: 0-Unexamined 1-Unaffected 2-Cyst Affected 3-ASD Affected 4-Unexamined but traces to founder stallion *-Founder Stallion (unexamined) 2 Gen = Generation of horse 3 The Stock DNA concentration is equated by (A260*(50*dilution)). In all samples dilution = 1 00X. 50 Table 4. m Primer Dltl Marker Location Aleles (hp) afiefis Primer name 8 sequence (F) Primer name 8. sequeme (R) Optimizad' Tm FOXEJ: A8811 2p17-18 132-146 6 A8811 Forward A8811 Reverse No CCACCTATGTGTI’CAGTTCACC GCACCMTGTTTATAGACTCCC AH735 2p15.1-16 125-141 5 M735 Forward M735 Reverse Yes 67°C TGACTTAGAGCTITTGCTCCC CCAGAAGTCCAGGCATTTGT TKY24 2p14-16 1 W4 Forward 77(Y24 Reverse Yes 600 GATCCMCAGCAGCMCAGCAG AGTGGCATGGCATGAGCTTC A8817 2p14-15 92-116 10 A8817 Forward A8817 Reverse No GAGGGCGGTACCTWGTACC ACCAGTCAGGATCTCCACCG TKYO3 2p13—14 162-168 4 ma Forward TKY03 Reverse No GGTTCACACAGGAGTCAGGGA CCTTCTGGTTTGCCTCGTCTC PITX2: A14 2 q14-21 213-235 8 A14 Forward A14 Reverse Yes 63'C CAGCTGGGTGACACAGAGAG GTCATCACTACTCCCTACAC Not fine mapped: COR065 2 264-262 6 COR065 Forward COR065 Reverse No CMMGCACACACMAGTGC TCCGGMAGTGCMAGTTAG UMOO7 2 115-150 7 UMOO7 Forward UMOO7 Reverse No GGGAATAGAGAMGGTGAAG TI'AGAGTTCCTGCTCCTCC UCDEQ3GO 2 129-133 3 UCDEQ380 Forward ucoeoaao Reverse No 6W _<;G2A_A___ACT GTGCTGCMA FOXC1: HMS42 20q24 126-136 4 HMS42 Forward HMS42 Reverse Yes 55‘C TAGATI'I’CTTAGTGCCMTCGTGG GAACTGCTATAGATATACCTAACTC TKYOO 20q21.1 7 5 TKYOG Forwad TKY08 Reverse No TTQCTI’GTGCATMIQ QTI’QQCMTGTGTGAQGMT 0R8 20q14 13 W Forward 0R8 Reverse No CTCTGCAGCACATTTCCTGGAG CGCCGCTGCACCAGGAA TKY21 20q13 117-132 4 TKY21 Forward TKY21 Reverse No AGGTGMcgch Not fine mapped: H765 20 79-95 7 H765 Forward H765 Reverse No TGCTMGCCTCAGCACATACA TGGAAATMGGTTAGCAGGGATGC @052 20 18225 7 m2 Forwad LEXDSZ Reverse Yes 55°C GGAACGGAAGAGTGTAGTI’TT CATTTATI’CATCAGCGATTG LBtO71 20 185-204 7 LB(O71 Forwcd LEXO71 Reverse No CTTTATTCTACTCTTI’GGTCC CCGATATTTCACTGATTATT UMO11 20 161-179 9 UM11 Forwa'd UM011 Reverse Yes 63‘C TGAAAGTAGAAAGGGATGTGG TCTCAGAGCAGAAGTCCCTG WAS-F164 20 141-165 8 WAS-H64 Forward WAS-HM Reverse No _ CTAQTITATGAGCTGAGCCACTC QTGGAGAACTTTQATTCTCCTCT ‘AllmemenweretestedusinganhitialdenatmumeonMesaWS'Cfollowedby35cyclesofa95°cdenatweataoseconds.ananneelingstepet the‘rmoivmhuntabhfuaommanextmiond72‘c1u30smw1aHM842whichwesdenahndtor20seoondsandLEX052 wnidmadaSOseomddensunASsecmdmthodeOsecmdextmsbntinu.Nurealimtemperantesnotlistedforpr‘lnerpaisthatwerenot successfullyopt‘mized. 51 88:58 or .2 0.3- 80 3.2688 in: a 53 new .8258 _. .8 cows 8 868 c.2336 cm can 65:? 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ANN 5:050: 30:00 II 0:000:00 :NwN II 00:00:.0zcm .I.I III . :80 2-030 II 25300 n 0003 N03 II .ch Ill . I . U . ANN aesmvNGfiES: :00 II 2003 :N :3 N . «SEEN II N023 SANS II . EN . : a . 00:2-NEN II N00 NN-_N.: I . 8:0: EARN II . I 0 ll .0: Sc: 2-23 30.0: :0 N0 : . E00: N30 II 20000:-ng 0.68.0 N0: II . 2 00:30:00 II 2:02 0000.023 . 00000200 II 00 002.2% E00,: 3:: II n .0 80:32.03“ II '2003723 LI 2:00:03: II . :N 0002.30.02. II .2 57 A) 59°C CNCAAH MI! E m°c c N c A H Figure 12. Examples of genotyping using a 3 3 P radioactive label. A randomly incorporated radio labeled dCTP can be incorporated into the PCR to identify allele sizes in a genotype. A) Marker UM11 at 59° C with PCR conditions with a denature time of 60s, an annealing time of 60s and an extension time of 60s. B) Marker A14 at 63° C with PCR conditions with a denature time of 303, an annealing time of 30s and an extension time of 305. The “C” indicates a cyst horse, an “A” indicates a fully affected horse and an “N” indicates an unaffected horse. The lane marked with a (-) is a blank lane. 58 M- 5*...- W .0 4‘ J" ‘9: v “‘11-. 0::? 1‘37 1;: (GT)16 m 1:: 4o 7 w h.‘ «nu- ." “I ” v ~ ~ ‘ «up w ” > I ‘ _: :: 1': : (AT)3 ‘:_ «up “ a” * w \. “ e u a» I. I . uh "' :3 a.» ‘ .‘m a ’ ‘ «It- ‘- ‘ - —‘> - Figure 13. Radiographic Example of Marker, A14 Sequence. The microsatellite in this sample is a diallelic repeat of (AT)3(GT)15. 59 1 500 1800 800 600 400 200 1800 2100 ‘ 2400 2700 3000 r‘ "-_‘ fl 1 800 1 200 800 400 [C o - Figure 14. Electropherogram Example. An electropherogram is the visual results from a fluorescently labeled marker product. A) A heterozygous genotype for marker HMS42. B) A homozygous genotype for marker UM11. The arrowheads point to the fluorescent peaks, for which allele sizes can be determined using the size standards (denoted by arrows). The y-axis is the intensity and the x-axis is the points where the laser recorded the data. 60 CHAPTER 3 MARKER ANALYSIS - GENOTYPING Introduction Markers are segments of DNA that can be unique from one individual to the next. Examples of markers are single nucleotide polymorphisms (SNPs) and simple sequence repeats also known as microsatellites. For this study, microsatellite markers were evaluated. Two types of analysis were used to study marker genotype data, linkage analysis and association mapping. Association studies test whether individual differences in genes or markers are statistically associated with a phenotype (Reviewed by Gibson and Muse 2002). The phenotype can be disease status such as affected or not; constantly varying measures such as intraocular pressures; or response to environmental stimuli such as drug stimuli (Cardon and Bell 2001). The statistical test for association studies is used to determine whether the distribution of genotypes in the unaffected animals is different from the distribution in affected animals. The association study has two main advantages over the linkage study: 1) statistical power, and 2) knowledge (Reviewed by Gibson and Muse 2002). The design of the association study allows for smaller numbers of samples to be used to detect an association, which leads to the increased power. The theory is that markers that are close to the candidate gene will tend to be homozygous for a particular allele and those further away will have a greater tendency to 61 recombine. The power for an association study is the probability of correctly identifying a true association (Cardon and Bell 2001). An example of an association is linkage disequilibrium. lf most affected animals in a population share the same allele, then it is possible to narrow the interval around the disease locus by detecting the disequilibrium between close markers and the disease locus (Jorde 1995). A linkage disequilibrium design that is used to identify the defect that underlies common diseases is called test of association. Test of association is a study that searches for a population association between a phenotype and a certain allele. This type of design uses a case versus control test. For this test an allele in the affected or case population is looked for that an unaffected or control population does not have (Ardlie et al. 2002). The downfalls to association studies are: 1) replication is often not possible, 2) small sample size can affect results, 3) overinterpretation of results, and 4) failure to detect linkage disequilibrium with nearby markers (Cardon and Bell 2001). Linkage analysis gives the location of loci or phenotypes in relation to previously mapped loci (Reviewed by Gibson and Muse 2002). The approach for linkage analysis isto identify markers that are located throughout the genome or near candidate genes and track their alleles through large family pedigrees to identify a marker that is linked to the gene or disease of interest (Reviewed by Hartl 2000). The lod score is a statistical term that indicates degree of linkage between two loci. A lod score is computed by dividing the pedigree likelihood when disease is linked by the pedigree likelihood when disease is unlinked and 62 taking the log of base 10 of the ratio (Ott 1992). A lod score of greater than 3.0 for Mendelian loci is considered to be significant evidence for linkage (Reviewed by Hartl 2000). Linkage studies can be used in tandem with the association study. The large families typically used in linkage studies are suitable for association studies, especially for within-family segregation designs (Reviewed by Gibson and Muse 2002). Results Markers were chosen for the three candidate genes based on their locations and variability. Based on comparative mapping, FOXC1 is hypothesized to be located on horse chromosome 20. Markers that are on equine chromosome 20 near the predicted location of FOXC1 are DRB, HMS42, TKY21, TKY22, and TKY08. Five other markers, LEXOSZ, LEXOZI, UM11, HTG5, and VIAS-H64, have been mapped to horse chromosome 20, but have not been fine mapped. PCR amplification was attempted on all markers, however only HMS42, UM1 1, and LEX052 were successfully optimized. Marker HMS42 was prioritized over the others due to its location (20q24) and its reported variability (4 alleles, sizes 126-136 bp).‘ HMS42 was sequenced and the single cyst horse had a repeat of (GA)I4 and the single Morgan had a repeat of (GA)15. This marker was genotyped using a fluorescently labeled PCR product on Rocky Mountain Horse Plates 1 and 2. Alleles for plate 1 ranged from 122-132 bp (See Table 6 and Appendix E). Seventy-six point three percent of the 63 fully affected horses had allele size 130 bp. By comparison, 75.0% of the unaffected and 70.0% of the cyst affected horses also had allele size 130 bp (Table 6). Another common allele size seen in the fully affected horses was 122 bp (21.2%). The chi square analysis for HMS42 yielded a p-value of 0.1158 with 4 degrees of freedom (Table 6). Chi-square results can be invalid when greater than 20% of the cells contain values less than five; forty-four percent of the cells in the HMS42 table had counts less than five. To accommodate for the low cell numbers a Fishers Exact test was computed. The Fishers Exact test resulted in a p-value of 0.1173 with 4 degrees of freedom. The chi-square and Fishers Exact test gave similar p-values; both tests provide no evidence for an association between the alleles of HMS42 and the disease phenotypes. Plate 2 had alleles that ranged from 122-132 bp (See Appendix E). The lod scores for the two family sets on plate 2 were both 0.0, indicating no significant linkage between the marker and disease (Figure 15a and b). The two families also had a recombination fraction of 0.5. A recombination fraction is the relative distance between two loci at the computed lod score. A recombination fraction of 0.5 is the maximum score and indicates no linkage. The other two microsatellites hypothesized to mark FOXC1, although not fine mapped, were chosen based on ease of optimization and variability. Marker UM11 was investigated using ”P labeled PCR products and polyacrylamide gels using the control horses, but it had strand slippage artifacts, which obscured allele determination. To help alleviate this problem, both plates were analyzed fluorescently. Strand slippage artifacts were still visible, but there was a pattern across samples that was used to identify a true allele from an artifact. Nine alleles were detected in animals of the three phenotypes on plate 1 (See Tables 7-9 and Appendix E). The fully affected horses had the majority of their alleles at sizes 164 bp and 170 bp with allele frequencies of 29.5% and 33.6%, respectively. The cyst affected horses also had a preponderance of allele sizes 164 and 170 bp. which occurred at allele frequencies of 44.4% and 33.3%, respectively. The unaffected horses had a variety of allele sizes including 158 (9.1%), 160 (18.2%), 162 (4.6%), 164 (31.8%), 166 (13.6%), 168 (13.6%) 170 (4.6%) and 176 hp (4.6%) (Tables 7 and 8). The 170 bp allele occurred frequently in ASD and cyst affected horses (33.6% and 33.3%, respectively), but occurred rarely in unaffected horses (4.6%). The SAS computer program was unable to compare the three phenotypes simultaneously for the numerous alleles (n = 10) of marker UM11, therefore pair-wise comparisons between each of the phenotypes were analyzed. A chi-square analysis of unaffected horses as compared to horses with cysts resulted in a p-value of 0.0636 with 7 degrees of freedom (Table 7). This p-value would suggest that the allele frequency differences between unaffected horses and horses with cysts approached statistical significance. To confirm the chi-square value since the Cell counts had 88% that were below five, the Fishers exact test was calculated and resulted in a p-value of 0.0399, which would be indicative of an association between at least one of the alleles and one of the disease phenotypes at a 95% confidence level. The second pair-wise comparison of unaffected horses to horses with ASD 65 resulted in a p-value of 0.0013 with 8 degrees of freedom (Table 8). With 61% of the table's cells having less than five samples, a Fishers exact test was performed. The Fishers exact test confirmed the p-value from the chi-square test at 0.0012. Both analyses provide a high likelihood that there is an association between at least one of the alleles of UM11 and the ocular phenotypes. The last pairwise test compared horses with cysts to horses with ASD. The resulting p- value for the chi-square test with 6 degrees of freedom was 0.6649 (Table 9). The chi-square test was followed up by the Fishers exact test since 50% of the table’s cells had less than five samples. The resulting p-value (0.7525) confirmed the chi-square analysis and both were suggestive of no difference between allele frequencies in cyst and ASD affected horses. Overall, the results suggest that there is a high probability that at least one of the alleles of UM11 is associated with the disease phenotypes. The association study was followed by a linkage study since it has been reported that association studies can often result in false positives. The lod scores for the two family sets on Plate 2 were 0.12 for the V-30 family and 0.0 for the Vl-7 family (Figure 15a and b). The recombination fractions were 0.30 and 0.47, respectively. These values are not supportive of linkage to the disease. LEX052 was optimized using the horse controls and sequenced. The single cyst horse had a repeat of (TG)13. The single Morgan was heterozygous with repeats of (TG)13 and (T G)15. Sequence variability was detected in the multi- breed pool and the pool of horses with ASD. The unaffected pooled sequence was not variable. Individual genotypes have yet to be determined. 66 The predicted location of PITX2 is on horse chromosome 2q. One marker has been identified on 2q. A14 (2q14-21). A14 was genotyped using a radioactively labeled PCR product in pools of horses: two unaffected pools, two cysts pools and seven ASD pools. This data showed that there were multiple alleles in each of the pools. To clarify which alleles were segregating in this population, A14 was initially genotyped using a radioactively labeled PCR product across all of the Rocky Mountain Horse plate 1. This method did not allow for definitive sizing of bands but it was evident that there were at least three different sized alleles among the horses fully affected with ASD and many of these same alleles were found in the unaffected and cyst affected horses. Subsequently, A14 was genotyped using fluorescently labeled PCR product in ten unaffected horses, eight horses affected with cysts, and forty-one horses with ASD. Allele sizes ranged from 213-235 bp. with the majority of all three phenotypes having allele sizes 223 bp and 225 bp (Table 10). The chi square analysis yielded a p-value of 0.3029 with 14 degrees of freedom (Table 10). Once again, the validity of the chi square test was questionable, since seventy- one percent of the cells in the table had counts less than five. To accommodate for the low cell numbers, a Fishers exact test was computed. The Fishers exact test resulted in a p-value of 0.2110 with 14 degrees of freedom, which suggests that there is no association between A14 and the disease phenotypes. A14 was sequenced and the single cyst horse had a repeat of (AT)3(GT)15. Variability was found in the sequence of the multi-breed pool, the pool of horses with ASD and the unaffected pool. 67 We were not able to fully optimize other markers located on horse chromosome 2. These markers, UM007, UCDEQ380, and COR065 have not been fine mapped. UCDEQ380 and COR065 produced doublet bands when amplified and detected using a radioactively labeled PCR product. UM007 produced no product at varying temperatures and cycling conditions when radioactively labeled. FOXE3 is hypothesized to be located on horse chromosome 2p or possibly on horse chromosome 5. Optimization was attempted for five markers on horse chromosome 2: ASB11, AHT35, A8817, TKY24, and TKY03. ASB11, ASB17, and TKY03 had strand slippage artifacts that hindered accurate determination of allele sizes. AHT35 was prioritized due to its location and extensive effort was expended to optimize this marker. Unfortunately, definitive data were not obtained from this marker. Multiple alleles were present within each phenotype, however specific allele sizes were not readily determined using either radiolabeled or fluorescent techniques. AHT35 was sequenced in two horses: the single cyst horse had a repeat of (TG)14, and the single Morgan had a repeat of (T G)16, Genotype results of two horses on plate 2 were not in keeping with their parental genotypes. The first horse, lX-100, was located in the V-30 family. Horse lX-100 was gendtyped for HMS42 on four separate occasions. This horse had a homozygous allele size of 130 bp on three occasions, but had a homozygous allele size of 132 bp on the final genotyping. Based on offspring genotypes and repetition of results, the 130 bp allele was considered to be 68 accurate, therefore it was used in the analysis of the V-30 family. The second horse, lX-5, yielded inconsistent allele sizes for HMS42 (136 bpl136 bp, 134 bp/134 bp, and 129 bp/129 bp) on repeated analysis. Therefore, data for horse lX-5 was not used in the current study. These two horses may be interesting to further research to confirm their genotypes. Discussion Results from our association study indicate that the gene that underlies ASD in horses does not seem to be located near HMS42 or A14. The association study did identify an association between UM11 and the disease phenotypes. The statistical analysis for this marker was run as a series of pair-wise comparisons instead of the comparison of the three phenotypes, which was used with HMS42 and A14, because the SAS computer software was unable to process the data. This was likely the result of numerous allele sizes in combination with multiple phenotypes. To provide for accuracy ofithe data, both a chi-square test and a Fishers exact test were used since low sample numbers in the table’s cells can often lead to an invalid chi-square result. The Fishers exact test takes into account the low numbers when computing the p-value, thus giving a more accurate representation of the data. For marker UM11, no alleles predominated in the unaffected horses, whereas the majority of cyst affected and ASD affected horses had three allele sizes: 160 bp. 164 bp and 170 bp. The high p-values between the pairwise comparisons of the phenotype data suggest that there is a high degree of 69 association between UM11 and the disease phenotypes. The association between the alleles and phenotypes might be caused by the cyst and ASD affected horses having only three sizes of alleles and the unaffected horses having a wide range of alleles. Another interesting aspect of the number of alleles is thattlfe'iinaffected horses had a broad range of allele sizes, whereas the ASD affected horses seemed to have a much smaller range of sizes. With a large number of ASD affected horses (n = 70) versus the much lower number of unaffected horses (n = 11) one may expect to have a much broader range for the sample size. This can also be a problem in association studies if the control population is not equal to the disease population. The design was initially set up for a homozygosity mapping test. The homozygosity mapping test is used to look for a common genotype among all of the ASD affected horses. Unfortunately, this type of pattern was not seen, so an association study was done. Adding additional unaffected horses would help to alleviate the unbalanced control population. To follow up the association study, a linkage study was performed on both HMS42 and UM11 since HMS42 is located near the hypothesized location of FOXC1 and UM11 is located on the same chromosome. The results from the linkage study indicate that there was no evidence for linkage between UM11 and the disease phenotype with lod scores of 0.12 for the V-30 family and 0.0 for the Vl-7 family. These results suggest that the area surrounding UM11 can be excluded as containing the disease locus. This is confirmed by analyzing the recombination fractions, which were 0.30 for the V-30 family and 0.47 for the VI-7 70 family. These recombination fractions suggest that the marker may be too far from the disease gene to detect linkage. These results contradict the results from the association study which indicated that UM11 was associated with the disease locus. The contradictory results do not mean that FOXC1 is not the underling cause of ASD, but that further research needs to be done, such as the typing of additional markers that map closer to FOXC1 and adding more unaffected horses to the association study. Marker HMS42 was not highly variable in the population having only three allele sizes. Over 70% of the horses in all three phenotypes had the 130 bp allele. Linkage study results confirmed the association study results for marker HMS42 with both families having a Iod score of 0.0 at the maximum recombination fraction of 0.5. HMS42 is too far from the disease gene to detect linkage. This recombination fraction can also mean that the disease locus is on an entirely different chromosome. Marker A14 was informative in the Rocky Mountain Horse. population, but there was no association between any of its alleles and the disease phenotypes. Lack of association does not mean that the gene can be excluded but that the marker is not associated. Different markers that are located near the candidate gene may show an association. Other reasons for the lack of association and linkage could be due to the fact that the markers may be physically distant from the candidate genes. Mapping the candidate genes would help alleviate this problem as it would resolve any discrepancies between the comparative maps by identifying exactly 71 what chromosome the genes are on and their precise locations. Markers that are known to be in proximity to the candidate gene can then be chosen, which would give a higher likelihood of finding an association or linkage. It is also possible that the candidate genes pursued in this study are not the genes that underlie ASD in horses, since there are over forty known genes that are involved in eye development. Most of the mechanisms and functions of these genes are not well documented. Furthermore, because ASD in horses is slightly different from the ocular diseases in other species, there might be better diseases and candidate genes that have not been identified. Further studies on the expression and function of the candidate genes should be pursued. Further research should also be done on the discrepancies in the two horses” genotypes. A technical error possibly caused the genotype of horse lX- 100 to be inaccurate. This could be confirmed by reanalyzing the genotype and testing other markers. Horse lX-5 should be regenotyped at HMS42 to help identify a consistent genotype, and verifying parentage may help eliminate any discrepancies. 72 Chapter 3 Tables and Figures 73 Table 6. Results for the Association Study - HMS42 Table of population by allele population allele Frequency Percent Row Pct Col Pct 122 130 132 Total Unaff 2 15 3 20 1.27 9.49 1.90 12.66 6.25 12.61 42.86 Cyst s 14 1 20 3.16 8.86 0.63 12.66 25.00 70.00 5.00 15.63 11.76 14.29 A80 25 90 3 118 15.82 56.96 .90 74.68 21.19 76.27 2.54 78.13 75.63 42.86 A Total 32 119 7 158 20.25 75.32 4.43 100.00 Statistics for Table of population by allele Statistic 0F Value Prob Chi-Square 4 7.4083 0.1158 Likelihood Ratio Chi-Square 4 5.8536 0.2104 Mantel-Haenszel Chi-Square 1 3.2581 0.0711 Phi Coefficient 0.2165 Contingency Coefficient 0.2116 Craner's v 0.1531 WARNING: 44% of the cells have expected counts less than 5. Chi-Square may not be a valid test. Fisher's Exact Test Table Probability (P) 4.873E-04 Pr <= P 0.1173 Sample Size = 158 711 Table 7. Results for the Association Study - UM11 Unaffected Horses versus Cyst Affected Horses Table of population by allele population allele Frequency Percent Row Pct Col Pct 158 160 162 164 166 168 170 176 Total Unaff 2 4 1 7 3 3 1 1 22 5.00 10.00 2.50 17.50 7.50 7.50 2.50 2.50 55.00 9.09 18.18 4.55 31.82 13.64 13.64 4.55 4.55 100.00 50.00 100.00 46.67 100.00 100.00 14.29 100.00 Cyst 0 4 0 8 0 0 6 0 18 0.00 10.00 0.00 20.00 0.00 0.00 15.00 0.00 45.00 0.00 22.22 0.00 44.44 0.00 0.00 33.33 0.00 0.00 50.00 0.00 53.33 0.00 0.00 85.71 0.00 Total 2 8 1 15 3 3 7 1 40 5.00 20.00 2.50 37.50 7.50 7.50 17.50 2.50 100.00 Statistics for Table of population by allele Statistic 0F Value Prob Chi-Square 7 13.3718 0.0636 Likelihood Ratio Chi-Square 7 17.4914 0.0145 Mantel-Haenszel Chi-Square 1 0.7076 0.4002 Phi Coefficient 0.5782 Contingency Coefficient 0.5005 Craaer's V 0.5782 WARNING: 88% 0f the cells have expected counts less than 5. Chi-Square aay not be a valid test. Fisher's Exact Test 2.781E-05 0.0399 Table Probability (P) Pr <= P Saaple Size = 40 75 00: u 00:0 can-a0 0:00.: : .v :: 00.0000.0 .a. >::::naao:: .:n-: HOOP Poaxw 0.L020dm .000: 0:H0> 0 on :0: >00 000000.:zo .m :0:: 000a 0:::00 00:000x0 0>0: 0::00 0:: :0 arc “oznz:<§ oomv.o > 0.:00000 :500.0 :c.:o:::ooo >0:.0:::co° 0000.0 «:0:0:::000 «:0 0000.0 «000.: : o:0:00.::0 Houaceuz-aoucaa :000.0 :o:0.:~ o 0:0:00.::0 0::0: 000::H0x:4 0:00.: oo:v.m« o 0:0:00.::0 :0:: 0::.> no 0::0::au0 eased: a: :0::0a0000 :0 0:00: :0: 00:00::aum 0L30000Lm Owcm och 00.00: 00.0 00.0 5:.ou 5v.» «5.0 00.0“ 00.0 v:.o« on.» _ ev: : : «v n 0: av : an a :0:0: AII 00.00: 00.0 «0.50 00.00 «0.05 «5.00 00.0 :N.oo 00.0: «0.0 00.0 :o.0n 00.: «0.0 :m.0« 00.0 00.00 «0.0 «5.00 00.0 00.0 50.0“ 00.: #0.: 00.0“ 00.0 00.5: h:.v : um: : o :0 a :: on 0 mu 0 ow< :II 00.0 00.00: 00.0 00.00 nv.:« o«.0: 00.00: 0n.o: 00.00 00.0 00.0 00.1 v0.0: 00.0: «0.:0 no.0 0:.0: 00.0 00.0: 00.0 00.0 00.0 no.0 00.0 00.0 00.0 on.“ 00.: _ «N o : : o 0 h : c N ::0:: :II H000: an: on: as: no: no: 00: «o: 00: on: :0: H00 :0: 30: «:0000: >0:0000:m odoaaa :0::0H0000 0:0:H0 >0 :0::0::000 :0 0:00: 086: 860:2 00¢. gems 806: 00:00:05 :35 - 520 800802 05 :o: 0:380 .0 030: 76 Table 9. Results for Association Study - UM11 Cyst Affected Horses versus ASD Affected Horses Table of population by allele population allele Frequency Percent Row Pct Col Pct 160 164 170 158 166 168 172 Total Cyst 4 8 6 O 0 0 O 18 2.86 5.71 4.29 0.00 0.00 0.00 0.00 12.86 22.22 44.44 33.33 0.00 0.00 0.00 0.00 13.79 18.18 12.77 0.00 0.00 0.00 0.00 A80 25 36 41 6 11 2 1 122 17.86 25.71 29.29 4.29 7.86 1.43 0.71 87.14 20.49 29.51 33.61 4.92 9.02 1.64 0.82 66.21 81.82 87.23 100.00 100.00 100.00 100.00 Total 29 44 47 6 11 2 1 140 20.71 31.43 33.57 4.29 7.86 1.43 0.71 100.00 Statistics for Table of population by allele Statistic 0F Value Prob Chi-Square 6 4.0873 0.6649 Likelihood Ratio Chi-Square 6 6.5322 0.3663 Mantel-Haenszel Chi-Square 1 2.4923 0.1144 Phi Coefficient 0.1709 Contingency Coefficient 0.1684 Craaer's V 0.1709 WARNING: 50% of the cells have expected counts less than 5. Chi-Square may not be a valid test. Fisher's Exact Test Table Probability (P) 0.0021 Pr <= P 0.7525 Sample Size = 140 77 Table 10. Results for Association Study - A 14 Table of population by allele population allele Frequency Percent Row Pct Col Pct 213 223 225 233 235 215 217 229 Unaff 1 10 7 2 0 0 0 0 0.85 8.47 5.93 1.69 0.00 0.00 0.00 0.00 5.00 50.00 35.00 10.00 0.00 0.00 0.00 0.00 33.33 25.64 12.07 50.00 0.00 0.00 0.00 0.00 Cyst 0 2 12 1 1 0 0 0 0.00 1.69 10.17 0.85 0.85 0.00 0.00 0.00 0.00 12.50 75.00 6.25 6.25 0.00 0.00 0.00 0.00 5.13 20.69 25.00 12.50 0.00 0.00 0.00 A80 2 27 39 1 7 1 2 3 1.69 22.88 33.05 0.85 5.93 0.85 1.69 2.54 2.44 32.93 47.56 1.22 8.54 1.22 2.44 3.66 66.67 69.23 67.24 25.00 87.50 100.00 100.00 100.00 Total 3 39 58 4 8 1 2 3 2.54 33.05 49.15 3.39 6.78 0.85 1.69 2.54 Statistics for Table of population by allele Statistic DF Value Prob Chi-Square 14 16.1742 0.3029 Likelihood Ratio Chi-Square 14 19.1309 0.1600 Mantel-Haenszel ChioSquare 1 3.1487 0.0760 Phi Coefficient 0.3702 Contingency Coefficient 0.3472 Craner's V 0.2618 WARNING: 71% of the cells have expected counts less than 5. Chi-Square may not be a valid test. Fisher's Exact Test Table Probability (P) 1.8335-07 Pr <= P 0.2110 Sample Size = 118 78 Total 20 16.95 16 13.56 82 69.49 118 100.00 Figure 15a. Marker Data for Plate 2. The family derives from the founder stallion lV-7. Stallion V-30 (a son of IV-7) is the main sire on this pedigree. Below the identifiers are the genotypes for HMS42 (top set of numbers) and UM11 (bottom set of numbers). The allele sizes were assigned a number based on numerical order of the sizes. The arrow points to the stallion, Vl-7, at the head of the family in Figure 15b. 79 v £83 5.... a. $35 .. .. e 35:: O Q35 g :00 e 333 i 33$ g £00 v 333- 3 EM .1. ‘33: ; £00 4.3225 e ESE\DK fl iss 5:55 a 8°“: —E5 :33 ' $.- 8 '33 8 0 ”gas V g0: * 3‘73 e is: v §“3 .9 £00 - £93 I is: 9 3°“ . 38S ' £8: 9 200 .. $8: 0 3%: Figure 153. §8$ 80 Figure 15b. Marker Data for Plate 2. The family derives from the stallion V-30. A grandson of lV-7, Vl-7 (a son of V-30) is the main sire on this pedigree. Below the identifiers are the genotypes for HMS42 (top set of numbers) and UM1 1 (bottom set of numbers). The allele sizes were assigned a number based on numerical order of the sizes. A question mark in the genotype indicates no data reported. 81 v I” Figure 15b. l! x". 36 on 10 a! .. is: 82 a is: 1‘ 7” “20 “12 ‘D 71’ CHAPTER 4 SEQUENCE ANALYSIS Introduction The aim in sequencing the candidate genes of interest was three-fold. First, was to determine the equine sequences for PITX2, FOXC1 and FOXE3, since horse sequence has not been reported. Second. was to look for sequence variability among the phenotypes, and finally to identify short segments of DNA that are not conserved in hamsters in order to place each of the candidate genes on the horse radiation hybrid map. Eukaryotic genes are made up of two types of DNA segments, exons and introns. Exons are active sequences of DNA that are spliced together to form mature or processed messenger RNA (mRNA). Introns make up the rest of genes that contain more than one exon and are excised from mRNA after transcription. Introns are non-coding sequences that are cut out before the gene can be expressed. The exact function of introns is not known. Mutations are alleles that deviate from the majority type. especially if the change in alleles causes an effect on some disease or phenotype. Mutations can alter protein function, which can produce changes in the phenotype. Mutations are rare and any that affect a gene are typically selected against through evolution. A polymorphism is a mutation that has been maintained in the population as an allele. These may occur in coding or non-coding regions of the DNA and may or may not alter gene function. The most common polymorphism 83 is the single nucleotide polymorphisms which are naturally occurring variants that affect single nucleotides. The pool-and-sequenoe method (as described in the materials and methods section) allows us to efficiently screen sequence for genomic variability. Shubitowski et al. (2001) found that when pooling samples from ten horses, the lowest allele frequency detected was 10% or two alleles out of 20. Variability is seen as bands that occur at identical positions in a sequence. Single animals are used for comparison purposes (Brouillette et al. 2000). Allele frequencies in the pools can also be estimated by the intensity of the identically positioned bands. A stronger band represents relatively more copies of the given allele and a lighter band represents a rarer allele (Brouillette et al. 2000). Once variability is identified, the individual animals in the pool are then tested to confirm their genotype at the variable locus. Sequencing of genes can aid in mapping the gene if usinga radiation hybrid panel. Knowing the location of a candidate gene better aids researchers in identifying markers that may be linked to the putative disease gene. Mapping of candidate genes also adds to the framework of the horse genome map thus giving a better idea of where other genes may be located. Results Sequencing was attempted on candidate genes PITX2, FOXC1 and FOXE3 to look for variability between phenotype pools and to identify short segments of DNA for radiation hybrid mapping. Primers were designed in 84 conserved regions between mouse and human that flanked areas that were less conserved between the two species. PITX2 PITX2 in humans has 20 kb of genomic sequence, which contains 6 exons. The initiation codon is located in exon 2 and the homeobox region is located in exon 5 (Figure 16). Most known mutations occur in the homeodomain (Espinoza et al. 2002). Primers were designed to amplify intron 2 and portions of flanking exons. lntron 3 was not sequenced in horses since it is approximately 9 kb in length in humans. Primers flanking intron 5, which is about 2.5 kb in length in humans, were also designed. Several primers were designed in exon 6 since it contains the OAR (Otp and aristaless) domain which is believed to inhibit transactivation (Cox et al. 2002). The intron 2 primer set amplified 467 bp that contained only primer sequence in exon 2, started at the first nucleotide of intron 2 and spanned 37 bp into exon 3 (Figure 17). A BLAST search of this sequence produced a match with human PITX2 (AF238048) with a bit score of 370 and an e—value of 1e-102. A bit score above 200 and an e-value close to zero signifies a high probability that the sequence would not occur at random. No variability was detected in the sequence obtained between unaffected horses and ASD affected horses, when a pool and sequence method was used. Three sets of PITX2 primers within exon 6 amplified exon 6 sequence. The first primer set (exon 6 forward and reverse) amplified 507 bp of horse 85 PITX2 (Figure 18). The other two sets of primers overlapped this region and confirmed the initial sequence. The sequence obtained spans the entire OAR domain. A BLAST search of this sequence resulted in a high match to human PITX2 (AF238048) with a bit score of 722 and an e-value of 0.0. There was no variability in the sequence obtained between unaffected horses and ASD affected horses, when a pool and sequence method was used. FOXCf FOXC1 is a single exon gene that has a coding sequence of 1,662 bp in humans. The forkhead region lies between 232 bp and 504 bp. Primers (eight sets) were designed that covered the coding sequence of the entire gene (Figure 19). Two of the eight primer sets tested amplified horse sequence that matched human FOXC1. The first set of primers, F1 R1, amplified a segment of DNA that was 282 bp in length. This primer set amplified all but eight nucleotides of the forkhead domain (Figure 20). When the sequence of the F1 R1 fragment was used in a BLAST search, a match to human FOXC1 (NM_001453.1) was identified at a bit score of 400 and an e-value of 1e-109. Primer set F1aR1a amplified 315 bp but when analyzed using a BLAST search, only about 100 base pairs of the forkhead domain region matched FOXC1 sequence. The majority of the sequence from the primer set F1aR1a matched highest to FOXCZ, another forkhead gene, at a BLAST score of 287 and an e-value of 4e-75. Mutations in FOXC2 have been attributed to ocular malformations (Lehmann et al. 2002). No variability was 86 found in the FOXC1 sequence obtained between unaffected and ASD affected horses using the pool and sequence method. FOXE3 FOXE3 is 2,011 bp of mRNA in humans. The coding sequence is from 256 bp to 1215 bp for a total of 959 bp. The forkhead domain lies between 466 bp‘and 732 bp. Seven primer pairs were designed to span from the 5’ untranslated regions of FOXE3 to the 3' untranslated regions with emphasis on the forkhead domain (Figure 21). Two of the seven primer pairs amplified horse FOXE3 product. Forward primer F1 and reverse primer R1 amplified horse product for a total of 173 bp (Figure 22). All but three nucleotides sequenced were the forkhead domain. When this sequence was analyzed by BLAST, it matched human FOXE3 (NM_O12186) at a bit score of 307 and an e-value of 2081. Forward primer F2 when combined with R1 amplified 162 bp that confirmed the primer set F1 R1 sequence. No variability was seen in the sequence obtained between unaffected and ASD affected horses using a pool and sequence method. Radiation Hybrid Panel Mapping Radiation Hybrid mapping of PITX2, FOXC1 and FOXE3 was not successful. The primer set (exon 2-exon 3) for PITX2 amplified bands of similar size in horse, human and hamster negating one's ability to distinguish horse versus hamster origin of product in a horse/hamster radiation hybrid panel. 87 Likewise, FOXC1 and FOXE3 products were each similarly sized in hamsters and horses (Figure 23). This was likely due to the high sequence conservation of these genes. Discussion No variability was detected in the sequenced portions of PITX2, FOXC1 and FOXE3 between the phenotypes of ASD in horses. Polymorphisms may exist in regions that remain to be sequenced. One of the major problems in sequencing was the forkhead genes are very GC rich in nucleotide content (FOXC1 = 71.84% and FOXE3 = 67.67%). Regions that are GC rich are difficult to amplify since the melting temperatures of the products can be extremely high. F urtherrnore, the paired primer temperatures frequently did not match. This problem was addressed by using Taq polymerases that withstood higher temperatures for denaturation, but this did not resolve the issue. Other factors that contributed to sequencing problems were large introns and small exons in PITX2. These factors made designing primers difficult since the regions of conservation between species were small. A possible solution for this would be to sequence cDNA, which consists of only coding sequence, however not all candidate genes are expressed in accessible tissues (blood). Another inherent problem is the conservation of the forkhead genes. FOXC1 matches FOXC2 at a 92% similarity. This confounded our ability to selectively amplify FOXC1. PITX2, FOXC1 and FOXE3 are highly conserved across species. Similar sized PCR product bands were identified in horses and hamsters. Therefore, 88 horse/hamster radiation hybrid mapping could not be performed since researchers would not be able to distinguish between horse and hamster genes. A way to overcome this obstacle would be to sequence intronic regions where available, such as in PITX2, which would possible give a more horse specific sequence so that hamster would not be amplified. This was attempted in horse PITX2 intron 2, and redesigning the reverse primer in PITX2 intron 2 may help to alleviate this problem. Another confounding factor with PI'D(2 is the structure. When the gene was first annotated, it was reported as having four exons. Since then, several references have identified it as having six .exons with the first exon being noncoding (Cox et al. 2002). Also, four isoforms have been identified. All four isoforms have exons 5 and 6 where the homeodomain and OAR domain are located. PITXZa and PITX2b are produced by alternative splicing mechanisms. PITX2a contains exons 1, 2, 5, and 6; whereas PITX2b contains exons 1, 2, 3, 5, and 6. A third isoform, PITXZC uses an alternative promoter upstream of exon 4 so that it contains a part of exon 4, and exons 5 and 6. (Cox et al. 2002). The function of each isoform is currently being studied, though it has been found that some isoforms are not seen in all species, such as PITX2d which has so far only been found in human craniofacial libraries and consists of the 5’ part of exon 4 and exons 5 and 6 (Cox et al. 2002). Better understanding of the structure of PITX2 and redesigning primers in the newly identified exons may help with the sequencing problems. Identifying sequence in the 5’ or 3’ untranslated regions of the forkhead genes could be beneficial for radiation hybrid mapping, because these genes 89 contain no introns. Unfortunately primers in the untranslated regions of FOXE3 did not amplify horse product. Investigating other techniques for sequencing these conserved forkhead genes, such as using a horse BAC library or using plasmids to clone the genes, may aid in obtaining horse gene sequence. 90 Chapter 4 Tables and Figures 91 0:00 .0800 0.5000005 00.0: :0 0:00:00 :00 .0600 .0 :90 0::. 8000.0 0.03 :00 20 :00: 0:00 .0800 2000.00. 039.0 00: 000 6000.0 000:1 00.00 005050 :00: 0.0.5.0 00: 2000.00. 000002600 00... 6.2 00 02000. 0_ 0:0 0 00x0 5 00:32 0_ 0008 t0:0 0::. .0 :96 E 0_ 0000280000.: 050905 c_ 00202: 00 0: 00>0=00 0_ 0203 20:50 «20 00: 0:0 0 :98 c. 00:82 0_ 000:0 :0 v60900.00 000560.000 0::. .000: 0:00 0.0 009:5 00.: .00x00 00 090000.00. 0.0 :00: 0:98 0 000 000:0 0.3250 0000 009.0. 000.00 :0 0.0.005 .0: 0.09“. m 09:90ch Ar“. 093.0... m moxm-0c_..v Ann. moxmtmfi 0 00.0. i A. n. 00.0 m 0.0me . 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E ESE Edie 53> 8:650 8:033 020; m_ 0:: :5on on: .6290:sz xcmmcoo so: 8598 8838 mmxom $52 2 9.: a9 9: .8538 35: mmxom .NN 9%: mmm U00000000009:.000wUwodfiuoooehoUUUHDwouwoowwwdoowOwwowuuwoowo owb cmfidm MPH UHHoo/Noowogomou mmH mmuom m E. 40000UUUOHUG4 kb. Place a QlAquick spin column in a provided 2-ml collection tube. To bind DNA, apply the sample to QlAquick column and centrifuge for 1 min. Discard flow-through and place QlAquick column back .in the same collection tube. Add .5 ml of Buffer 00 to QlAquick column and centrifuge for 1 min. 10. To wash, add .75 ml of Buffer PE to column and centrifuge for 1 min. Let column stand for 2-5 minutes. 11. Discard the flow—through and centrifuge for an additional minute at 210,000 x g. 12. Place QlAquick column into a clean 1.5 ml microfuge tube. 13.To elute DNA, add 35 pl of dd Water to the center of- the column, let sit for 1 minute and centrifuge for 1 minute at maximum speed. 14. Store the purified DNA in the freezer. 104 Appendix B 105 Thermo Sequenase Radiolabelled Terminator Cycle Sequencing Kit Taken directly from the Brief Protocol: 1. Choose the termination master mix, dGTP or leP, appropriate for your particular sequencing application. leP is often used for sequences that are 60 rich or have compression bands. dGTP is used for standard sequences. Prepare the 4 termination mixes using 2.0 pl of termination master mix and .5 pl of labeled ddNTP for each sequence. Dispense termination mixes: Label 4 tubes (‘6', ‘A’, ‘T', ‘C') for each sequence. Fill tubes with 2.5 pl of the appropriate termination mix prepared in step 2 and cap. Prepare the reaction mixture. Combine the following: a. Reaction Buffer - 2 pl b. DNA - 5 pl c. Primer - 1pl d. H20 - 10 pl e. Thermo Sequenase DNA polymerase — 2 pl Cycling termination reactions: Transfer 4.5 pl of the template and polymerase mixture from step 4 to each termination tube (‘G’, ‘A’, ‘T', ‘C) from step 3. Mix well and place the tube in a thermal cycler. Cycle 30—60 times as follows: dGTP leP 95°C 303, 95°C 308, 55°C 308, 50°C 308, 72°C 1min 60°C 5-10 min Heat samples to 70°C for 2-10 mins immediately before loading onto sequencing gel. 106 Appendix C 107 Procedure for Gel Preparation with AccuGel 19:1 (BioWhittaker Molecular Applications, ME) Taken directly from acrylamide protocol. The acrylamide percentage to be used depends on the size of the nucleic acid acid fragments to be separated. The greater the number of base pairs to be separated, the larger the pore size required and therefore the lower the acrylamide percentage to be used. A 6% gel can separate a size range of 60—250 bp. The bromophenol blue will run at 25 nucleotides and xylene cyanol runs at 110 nucleotides in the denaturing AccuGel 19:1 gels. To make a 5.75% gel: Combine: 15 ml of 40% AccuGel 42 g of 7 M Urea 10 ml of 10X TBE Fill to 100 ml with Distilled Water Add 1 ml of 10% (freshly-made) Ammonium Persulfate for every 100ml of gel casting solution. Swirl gently to mix and add 20 pl of TEMED for every 100ml of gel casting solution. Pour the solution into the plates. The gel sets up 10-20 minutes after. Allow gel to set up for 1 ‘/z to 2 hours after pouring." After 2 hours of setting up, the gel and plates can be wrapped in plastic and stored for up to 48 hours. 108 Appendix D 109 ABI Genescan lnforrnation (Taken from GeneScan manual) Rules for Dye Choice: 1. Each filter set should be used with a combination of four or fewer dyes (including the dye reserved for the internal lane size standard) that: a. Display in four different colors. b. Are available in compatible chemical forms. 2. You can combine phosphoramidite labels with NHS-ester labels. You should not combine [F]dNTP-labeling with any other labeling method. Table 11. Dye Wavelengths Emission Excitation Dye (nm) (nm) 6-FAM 517 494 5—FAM 522 493 R110 525 501 TET 538 522 R66 549 529 HEX 553 535 JOE 554 528 [F]dNTP TAMRA 572 555 NED 575 553 TAMRA 583 560 ROX 607 587 Table 12. Dye Combinations Dye Combinations Filter Set 6-Fam, HEX, TAMRA, ROX (Std) R110, R66, TAMRA, ROX (Std) A 5-FAM, JOE, TAMRA, ROX (Std) 6-FAM, TET, HEX, TAMRA (Std) C 6-FAM, HEX, NED, ROX (Std) D 5-FAM, JOE, NED, ROX (Std) F 110 Table 13. Dye Availability and Filter Sets Color Display (In virtual Dye Available as: set) 5-FAM Labeled primer in kits Blue (A,F) 6-FAM Phosphoramidite Blue (A,C,D) R1 10 [F]dNTP Blue (A) TET Phosphoramidite Green (C ) JOE Labeled primer in kits Green (A,F) R66 [F]dNTP Green (A) HEX Phosphoramidite Green (A,D), Yellow (C ) NED NHS-ester, Phosphoramidite Yellow (D,F) NHS-ester, [F]dNTP, or GeneScan internal TAMRA lane size standard Yellow (A), Red (c ) NHS-ester or GeneScan internal lane size ROX standard Red (A,D,F) 111 APPENDIX E 112 Table 14. Plate 1 Genoty s for HMS42, UM1 1 and A14 199031696 LLFSAZZ f i __F_arm PM Allele 1‘ Allele 2‘ Allele 1‘ Allele 2" Allele 1‘ Allele 2‘ 626 ASD 130.26 160.57 160.57 7 7 645 ASD 123.69 131.56 171.1 171.1 225.67 225.67 846 ASD 122.79 130.67 160.57 171.03 7 7 B52 ASD 131.92 131.92 160.49 164.12 7 7 096 ASD 7 7 7 7 234.92 234.92 N6 ASD 130.83 130.63 170.16 170.16 7 7 64 ASD 122.79 130.92 160.41 164.02 225.74 234.36 612 ASD 130.24 130.24 166.28 170.29 7 7 K8 ASD 122.69 132.64 156.55 172.09 223.59 223.59 650 ASD 130.77 130.77 167.29 170.29 225.73 225.73 653 ASD 130.2 130.2 164.24 170.27 225.69 229.97 656 ASD 122.66 122.66 160.49 164.09 225.66 226.96 621 Cyst 123.36 130.46 164.36 170.3 225.74 234.4 C7 ASD 131.75 131.75 170.3 170.3 223.56 225.66 05 ASD 130.73 130.73 164.19 171.13 225.74 225.74 K16 ASD 124.04 131.67 168.51 170.4 212.93 225.74 627 A60 130.76 130.76 163.92 167.13 223.53 225.74 F16 ASD 122.91 130.75 160.4 164.26 223.23 233.65 Q31 ASD 130.99 130.99 170.33 170.33 217.16 225.63 u3 ASD 122.96 131.29 164.3 170.29 223.52 234.26 W8 Aso 130.76 130.76 170.29 170.29 7 7 646 ASD 131.07 131.07 164.57 170.37 223.52 225.62 012 ASD 122.93 130.6 156.66 160.69 214.96 225.68 F8 ASD 130.8 130.6 160.47 166.54 7 7 K5 ASD 130.66 130.66 170.16 170.16 7 7 KKKKK13 ASD 122.93 122.93 164.11 164.11 7 7 we ASD 130.72 130.72 160.5 164.05 7 7 Blank B10 ASD 124.73 131.14 163.99 163.99 7 7 B15 ASD 130.56 130.56 164.16 170.16 7 7 623 A50 130.67 130.67 157.91 169.41 223.52 223.52 626 ASD 131.72 131.72 164.06 170.1 7 7 630 A50 122.74 130.69 170.14 170.14 225.62 225.62 639 ASD 132.22 132.22 7 7 225.67 234.21 813 ASD 122.74 130.69 164.26 166.35 223.67 225.66 l9 ASD 130.77 130.77 164.36 170.25 223.56 225.76 A1 ASD 131.63 131.63 160.65 164.46 7 7 660 ASD 123.21 131.01 164.16 171.04 223.62 223.62 019 ASD 122.63 130.74 164.45 171.01 223.62 229.97 c21 ASD 131.69 131.69 160.56 160.56 7 7 C33 ASD 130.61 130.61 170.3 170.3 212.96 223.62 M4 ASD 122.65 130.79 7 7 7 7 647 ASD 130.11 130.11 160 177.93 223.63 223.63 c1 ASD 131.49 131.49 160.64 171.03 223.57 225.63 628 ASD 130.73 130.73 160.31 160.31 223.63 225.66 L3 ASD 122.93 130.76 164.5 171.09 223.53 223.53 09 ASD 130.76 130.76 166.48 166.46 7 7 024 ASD 130.72 130.72 164.37 166.48 7 7 637 ASD 130.73 122.9 160.56 164.29 7 7 013 ASD 7 7 164.22 166.3 7 7 W9 ASD 131.58 131.56 164.05 164.05 223.57 223.57 2 ASD 7 7 164.11 170.16 7 7 620 ASD 123.52 131.37 159.74 170.21 7 7 037 ASD 7 7 164.1 164.1 7 7 113 Table 14 (Cont). Plate 1 Genoypesjor HMS42, UM11 and A14 1666696 M912- 2121.1: 6113 Farm Phenotype Allele 1‘ Allele 2‘ Allele 1‘ Allele 2‘ Allele 1‘ Allele 2‘ Blank 064 ASD 7 7 169.92 160.17 7 7 D16 ASD 7 7 160.5 170.2 7 7 69 ASD 131.56 131.56 156.29 164.13 7 7 u1 ASD 7 7 156.55 164.15 225.63 234.14 W7 ASD 7 7 7 7 225.63 225.63 Tim Cyst 130.57 130.57 160.65 164.29 225.64 225.64 K11 ASD 122.96 130.61 156.57 166.24 223.57 225.64 R8 ASD 132.19 132.19 160.56 170.14 223.61 225.59 R9 ASD 130.44 130.44 166.29 170.25 225.63 225.63 625 Aso 122.66 130.69 164.16 164.16 7 7 634 ASD 131.59 131.59 164.34 164.34 7 7 026 A50 131.6 131.6 166.36 171.09 217.23 225.63 622 ASD 122.63 130.7 170.66 170.68 225.56 225.56 C29 ASD 130.73 130.73 166.4 171.05 225.67 225.67 F15 ASD 125.76 130.91 164.26 170.39 223.5 225.57 F19 Aso 130.64 130.64 160.63 166.49 225.72 234.32 KKKKK14 Normal 130.67 130.67 160.4 164.26 223.59 7225.67 F16 Aso 122.77 130.62 164.22 164.22 223.26 225.36 029 ASD 7 7 7 7 7 7 VMC1 Aso 122.77 130.71 160.17 164.06 225.44 225.44 211 Normal 131.64 131.64 166.16 156.99 7 7 06 Cyst 130.33 130.33 164.01 170.95 7 7 Q19 Cyst 122.64 130.66 164.06 164.08 7 7 U4 Cyst 132.69 123.66 7 7 7 7 us Cyst 122.66 130.65 170.2 170.2 225.36 233.9 06 Cyst 122.64 130.59 163.98 170.6 225.32 225.32 KKKKK11 Normal 130.37 130.37 7 7 212.77 233.96 020 Cyst 130.94 130.94 160.49 164.12 225.37 225.37 73 Cyst 130.66 130.66 164.12 170.06 223.28 225.36 65 Cyst 122 130 7 7 225.32 225.32 G1 Cyst 131.1 131.1 160.65 162.5 223.36 225.38 0114 Normal 132.73 13273 162.52 162.52 223.26 223.26 0121 Normal 131.03 131.03 164.14 164.14 223.26 223.26 066 Normal 131.6 131.6 164.42 166.6 223.37 225.38 0125 Normal 122.75 130.69 160.64 160.64 223.32 225.32 D136 Normal 123.49 133.66 166.45 166.45 223.37 223.37 629 Normal 131.01 164.25 167.29 7 7 28 Normal 7 ? 168.36 168.36 225.38 225.38 037 Normal 130.81 130.61 164.29 170.29 225.43 225.43 U7 Normal 130.72 130.72 156.61 176.05 223.32 233.93 25 Normal 300.11 300.11 365.67 365.87 7 7 ' Alleles for HMS42 were binned as follows: 1-122 and 123 bp. 2- 128 bp. 3» 130 bp. 4- 132 bp. 2 Alleles for UM11 were binned as follows:1- 156 bp. 2158 bp. 3- 160 bp. 4- 164 bp. 5- 166 and 167 bp. 6- 168 bp. 7- 170 and 171 bp. 8-172 bp 3 Alleles for A14 were binned as follows:1 - 212 and 213 bp. 2 - 214 and 215 bp. 3 - 217 bp. 4 - 223 bp. 5 - 224 and 225 bp. 6 ~ 229 bp. 7- 233 bp. 8- 234 and 235 bp. ‘ Allele sizes are given in raw data format All markers were dinucleotide repeats so alleles were binned by 2 bp units for data analysis. ?- Unknown genotype 114 Table 15. Plate 2 Genotypes for HMS42 and UM11 lgeng'llers H7754; ([5411 Farm 17 Gen-ID#‘ Allele j Allele 3’ Genotype° Allele 12 Allele 22 Genotype‘ A7 Vl-9 130.74 130.74 373 164.2 164.2 474 611 Vl-60 131.04 131.04 373 166.37 172.26 5/8 612 VII-63 130.79 130.79 373 166.27 170.35 577 614 VIII-10 131.65 131.65 373 164.05 170.94 477 615 lX-11 353.47 353.47 777 405.64 413.94 777 B16 lx-5 7 7 777 164.06 164.06 474 617 X-6 130.79 130.79 373 164.17 164.17 474 620 lX-97 122.92 130.44 173 170.4 170.4 777 621 Vl-7 122.76 130.71 173 164.04 170.09 477 B23 X-18 332.62 332.62 777 363.67 369.69 777 625 x-119 122.62 130.62 173 164.13 164.13 474 626 X-118 131.56 131.56 373 164.16 170.12 477 627 lX-98 130.72 130.72 373 164.35 170.13 477 63 lX-9 122.66 130.76 173 160.64 170.29 377 630 lX-12 123.01 130.88 173 170.4 170.4 777 631 x-12 131.69 131.69 373 164.13 171.01 477 632 Xl-9 122.77 130.71 173 164.06 164.06 474 833 lx-4 130.62 130.62 373 164.16 164.16 474 634 x-s 130.66 130.66 373 164.36 164.36 474 635 vm-s 122.66 130.73 173 166.44 170.3 577 636 lX-2 122.65 130.79 173 7 7 777 637 VIII-128 7 7 777 160.64 164.46 374 636 lX-111 7 7 777 160.41 164.14 374 639 VII-65 131 131 373 167.03 170.42 577 64 x-11 122.77 130.67 173 160.42 164.07 374 642 VII-3 122.96 130.66 173 156.66 170.24 277 643 Vl-12 130.62 130.62 373 156.59 164.21 274 645 lX-112 130.66 130.66 373 164.07 164.07 474 647 X—16 131.56 131.56 373 164.06 170.1 477 649 lX-10 122.96 122.96 173 164.64 167.31 475 65 lX-68 122.99 130.82 173 156.55 166.34 275 650 x-14 130.65 130.65 373 166.66 170.12 577 652 M7 130.92 130.92 373 160.63 164.27 374 653 Xl-17 130.65 130.65 373 164.05 170.1 477 656 Xl-48 122.79 130.76 173 160.42 164.07 374 657 VIII-41 130.32 130.32 373 7 7 777 656 lX-45 123.92 130.66 173 164.16 164.16 474 66 X-85 123.9 131.06 173 156.61 164.25 274 B60 VIII-105 123.37 131.69 173 164.19 171.12 477 862 vm-49 130.22 130.22 373 160.31 170.22 377 67 VIII-24 7 7 777 160.41 170.91 377 66 lX-29 130.76 130.76 373 170.33 170.33 777 69 Vlll-17 124.7 132.64 174 163.99 172 476 C1 VII-50 131.56 131.56 373 160.33 170.96 377 C26 x-7 130.76 130.76 373 164.55 171.1 477 C7 X-68 130.75 130.75 373 156.49 170.21 277 D11 lX-95 130.87 130.67 373 164.26 170.37 477 115 Table 15 (gm!) Plate 2 Genotypes for HMS42 and UM1 1 0m HMS42 UM11 Farm 77 Gen-ID#‘ Allele 12 Allele 22 Genotypes Allele 12 Allele 22 Genotype“ 0136 Vl-55 123.56 132.75 174 166.21 166.21 575 033 mm 123.06 131.02 173 160.32 166.37 375 034 VIII-54 131.66 131.66 373 164.49 166.5 475 036 lX-54 131.59 133 374 164.2 164.2 474 037 IX-19 131.02 131.02 373 164.32 166 475 05 x-117 131.91 131.91 373 164.12 170.97 477 06 IX-117 130.48 130.46 373 164.06 170.94 477 064 Vl-51 131.91 131.91 373 164.03 164.03 474 D65 VII-47 130.53 130.53 373 164.16 170.1 477 D8 X-116 130.66 130.68 373 164.2 170.22 477 062 VII-64 7 7 777 166.59 170.36 577 064 x-120 123.7 130.67 173 170.33 170.33 777 095 VIII-119 130.81 130.61 373 164.37 170.39 477 096 x-124 122.77 130.66 173 7 7 777 E1 Vl-38 131.69 131.69 373 160.7 170.35 377 64 VIII-136 131.16 131.16 373 164.24 164.24 474 I3 was 130.78 130.76 373 164.44 164.44 474 I4 X90 7 7 777 164.29 164.29 474 IS lX-33 130.72 130.72 373 164.21 164.21 474 I6 x-46 130.79 130.79 373 164.51 170.31 477 J5 lx-96 122.96 130.69 173 164.16 171.04 477 J6 lx-11o 130.77 130.77 373 156.7 164.23 174 KKKKK14 X-61 131.79 131.79 373 160.17 164.01 374 03 Vl-13 130.78 130.76 373 164.42 164.42 474 019 X-76 7 7 '77? 164.12 164.12 474 036 Vll-13 130.78 130.76 373 170.42 170.42 777 05 Vl-2o 122.71 130.67 173 164.12 171.06 477 Q6 x-21 7 7 777 164.13 171 477 R10 x-115 130.79 130.79 373 164.21 170.27 477 R11 v.29 122.71 122.71 171 170.37 170.37 777 R12 Vl-64 122.65 130.66 173 164.12 170.98 477 R2 v-3o 131.56 131.56 373 164.04 170.15 477 R3 Vll-69 130.72 130.72 373 170.26 170.26 777 R4 x-123 130.75 130.75 373 164.03 170.05 477 R5 VII-10 130.76 130.76 373 7 7 7 Tim v.12 131.66 131.66 373 160.5 164.13 374 U6 Vl-16 122.98 130.86 373 171 171 777 w1 x-114 131.63 131.63 373 164.22 164.22 474 w1o X-169 7 7 777 164.13 164.13 474 w2 x-139 130.62 130.62 373 164.07 164.07 474 we X56 7 7 777 164.13 172.09 476 W5 Vl-33 130.36 130.36 373 160.17 168.21 376 w7 IX-22 131.46 131.48 373 164.17 164.17 474 we x-29 130.62 130.62 373 164.1 164.1 474 W9 lx-1oo 130.69 130.69 373 166.62 168.62 474 ' Gen-lD# is the generation number of the animal and the number of the animal in that generation. 2 Allele sizes are given in raw data format. 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