Journal of Heredity 2007:98(6):594–602 doi:10.1093/jhered/esm064 Advance Access publication September 13, 2007 Published by Oxford University Press 2007. Genetic Diversity in a Feral Horse Population from Sable Island, Canada YVES PLANTE, JOSE LUIS VEGA-PLA, ZOE LUCAS, DAVE COLLING, BRIGITTE FIONA BUCHANAN DE MARCH, AND From the Agriculture and Agri-Food Canada, Canadian Animal Genetic Resource Program, Room 6D62, College of Agriculture and Bioresources, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada (Plante); the Laboratorio de Genética Molecular, FESCCR, Apartado Oficial Sucursal 2, Cordoba 14071, Spain (Vega-Pla); the Sable Island Green Horse Society, PO Box 64, Halifax CRO, Halifax, NS B3J 2L4, Canada (Lucas); the Research and Innovation Branch, Ontario Ministry of Agriculture and Food, Guelph, ON N1G 4Y2, Canada (Colling); 467 Churchill Drive, Winnipeg, MB R3L 1W3, Canada (March); and the Department of Animal and Poultry Science, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada (Buchanan and Plante). Address correspondence to Y. Plante at the address above, or e-mail: [email protected]. Abstract The present-day Sable Island horse population, inhabiting an island off the eastern coast of Canada, is believed to have originated mainly from horses confiscated from the early French settlers in Nova Scotia in the latter half of the 18th century. In 1960, the Sable Island horses were given legal protected status and no human interference has since been allowed. The objective of this study was to characterize the current genetic diversity in Sable Island horses in comparison to 15 other horse breeds commonly found in Canada and 5 Spanish breeds. A total of 145 alleles from 12 microsatellite loci were detected in 1093 horses and 40 donkeys. The average number of alleles per locus ranged from 4.67 in the Sable Island horse population to 8.25 in Appaloosas, whereas the mean observed heterozygosity ranged from 0.626 in the Sable Island population to 0.787 in Asturcons. Various genetic distance estimates and clustering methods did not permit to support that the Sable Island horses originated from shipwrecked Spanish horses, according to a popular anecdote, but closely resemble light draft and multipurpose breeds commonly found in eastern Canada. Based on the Weitzman approach, the loss of the Sable Island horse population to the overall diversity in Canada is comparable or higher than any other horse breed. The Sable Island horse population has diverged enough from other breeds to deserve special attention by conservation interest groups. The Sable Island horses are an isolated and protected population living on a sand bar located approximately 200 km off the east coast of Nova Scotia, Canada (Figure 1). The island is 42 km in length, with a maximum width of less than 1.5 km, with a total surface area of approximately 3400 ha (Catling et al. 1985). The present-day population is believed to descend from horses confiscated from the French settlers and placed on Sable Island after the Acadian Expulsion of 1755 (Christie 1995). The horses were left largely unattended until 1801 when the first permanent life-saving station was established on the island. From 1801 to 1940, various breeding mares and stallions, likely Thoroughbred, Morgan, and Clydesdale, were introduced to the island and selected progeny were brought back to the mainland for sale (Christie 1995). Although popular accounts often suggest that the Sable Island population is descended from shipwrecked Spanish horses in the 1700s, this is not supported by historical research (Campbell 1974; Christie 1995). 594 In 1960, the horses of Sable Island were given legal protected status in the Sable Island Regulations of the Canada Shipping Act. Since then the horses have been protected from human interference. All observation and research activities are noninvasive, and no veterinary care or supplementary feed is provided. Long-term studies have been underway since the mid1980s, and life history has been recorded for most horses. The population generally ranges between 250 and 400 horses with severe weather and harsh winters being significant mortality factors (Lucas et al. 1991). The horses live in breeding groups of 2–10 males and females of varying ages and in all-male groups comprised mostly of immature individuals. Whereas the home ranges of family bands tend to be well defined, those of all-male groups are variable. With a generation interval of approximately 4 years, the Sable Island horse population has been isolated from possible introgression for about 11–12 generations. The Plante et al. Genetic Diversity in Sable Island Horses Figure 1. Geographic location of the Sable Island off the coast of Nova Scotia, Canada. Representatives of the Sable Island horse population (inset). current genetic structure of the Sable Island horse population is likely the result of natural selection and genetic drift. As with any other minor horse breeds with declining registrations in Canada, the Sable Island population could be facing genetic erosion. Although not recognized as a horse breed under the Canadian Animal Pedigree Act, the Sable Island horse may represent a valuable genetic resource. Within the context of horse population and breed conservation, genetic characterization is the first step in developing proper management strategies. Microsatellite markers are widely used to estimate genetic diversity within and among horse breeds (Aberle et al. 2004; Glowatzki-Mullis et al. 2005; Solis et al. 2005), and large databases of genotypes for most Canadian horse breeds are available. Microsatellites are also particularly well suited for the estimation of genetic structure (Pritchard et al. 2000), differentiation among populations (Corander et al. 2003), and individual assignments to predefined groups or clusters (Paetkau et al. 2004). In this study, we estimated the genetic diversity and divergence in Sable Island horses in relation to other isolated breeds, draft and multipurpose breeds, and Spanish breeds. We applied 3 different approaches to describe the distribution of genetic diversity and to estimate the relative contribution of each breed to the overall genetic variability in Canadian horses. Material and Methods Breed and Sampling For the Sable Island population (Figure 1), 57 samples were selected from a bank of frozen tissues collected from horses that died of natural causes between 1987 and 2000. Those selected were young animals that died before producing offspring and were considered to be the least related. Because it was possible to ensure that none of the sampled horses shared a mother and to reduce the chance of shared paternity, individuals were selected spatially; in addition to this, they were also selected temporally, horses born before 1989 or after 1993. In total, 1093 individuals representing 15 horse breeds found in Canada: Appaloosa, Arabian, Belgian, Canadian, Fjord, Hackney, Hannoverian, Icelandic, Morgan, Newfoundland, Peruvian, Percheron, Saddlebred, Thoroughbred, Standardbred, and the Sable Island population; along with 5 Spanish breeds: Asturcon, Malloquin, Menorquin, Pottok, and Andalusian were analyzed (Table 1). An additional 40 donkeys were also included for comparison and as an outgroup for phylogenetic purposes. Microsatellite Typing Twelve fluorescently labeled microsatellites were genotyped in the horse breeds, the donkey, and the Sable Island population: ASB2, ASB23 (Breen et al. 1997), AHT4, AHT5 (Binns et al. 1995), HTG4, HTG7, HTG10 (Marklund et al. 1994), HMS3, HMS6, HMS7 (Guerin et al. 1994), LEX33 (Coogle et al. 1996), and VHL20 (Van Haeringen et al. 1994). Microsatellite alleles were amplified in different multiplexes by the polymerase chain reaction (PCR). All microsatellite allele sizes were adjusted to the reference samples provided by the International Society for Animal Genetics. Estimated allele sizes in nucleotides were used throughout this study. 595 Journal of Heredity 2007:98(6) Table 1. Estimates of average and effective number of alleles per locus, and heterozygosity in horse breeds from Canada and Spain, including the Sable Island horse population and the donkey. Identified breed-specific alleles (excluding the donkey) Heterozygosity Breeds N Average number of alleles per locus, NA (SE) Appaloosa (AP) Arabian (AR) Belgian (BE) Canadian (CN) Fjord (FJ) Hackney (HA) Hannoverian (HN) Icelandic (IC) Morgan (MO) Newfoundland (NE) Peruvian (PE) Percheron (PH) Saddlebred (SA) Sable Island (SI) Thoroughbred (TH) Standardbred (ST) Asturcon (AST) Mallorquin (MAL) Menorquin (MEN) Pottok (POT) Andalusian (AND) Donkey (DO) 56 50 37 57 59 49 48 53 54 54 55 41 60 57 50 59 45 44 52 45 68 40 8.25 6.41 6.92 6.83 6.17 7.17 7.00 6.75 7.92 8.00 6.83 7.92 7.08 4.67 5.50 6.33 7.08 7.17 7.08 8.08 7.42 5.17 (0.57) (0.29) (0.53) (0.41) (0.44) (0.44) (0.49) (0.49) (0.47) (0.70) (0.32) (0.47) (0.50) (0.51) (0.42) (0.36) (0.66) (0.44) (0.34) (0.54) (0.48) (0.65) Effective number of alleles per locus, NE (SE) Observed (SE) Expected (SE) 4.70 3.57 4.24 3.99 3.55 3.67 4.44 4.03 4.23 5.11 3.95 4.45 4.14 3.21 3.87 3.69 4.19 4.12 3.94 4.98 4.06 2.88 0.78 0.66 0.70 0.76 0.71 0.71 0.77 0.72 0.76 0.75 0.74 0.78 0.73 0.63 0.75 0.71 0.79 0.78 0.75 0.78 0.74 0.55 0.78 0.72 0.75 0.73 0.70 0.72 0.77 0.74 0.76 0.78 0.73 0.78 0.75 0.65 0.73 0.73 0.74 0.74 0.74 0.78 0.75 0.59 (0.33) (0.33) (0.38) (0.38) (0.26) (0.25) (0.29) (0.27) (0.31) (0.59) (0.29) (0.27) (0.30) (0.36) (0.28) (0.21) (0.37) (0.35) (0.26) (0.47) (0.25) (0.38) Statistical Analysis The average (NA) and effective (NE) number of alleles, allele frequency per locus, observed (HO) and expected (HE) heterozygosity, fixation index (FIT, FST), detection of breedspecific alleles, and the analysis of molecular variance (AMOVA) were estimated using the GENEALEX 6 program (Peakall and Smouse 2006). The test for deviation from Hardy–Weinberg equilibrium was performed with the software Arlequin version 3.01 (Excoffier et al. 2005). Genetic divergence among the horse breeds and the Sable Island population was estimated from the actual genotypes and allele frequencies. Different model-specific distance estimators can be used for microsatellite data, and the natural logarithm of the proportion of shared alleles (POSA) (Bowcock et al. 1994) was calculated using the Microsatellite Analyzer (Dieringer and Schlötterer 2002), whereas the Reynold’s distances (Reynolds et al. 1983) were estimated using the PHYLIP 3.66 package (Felsenstein 1989–2006). Finally, the Kullback–Leibler (KL) divergence matrix (Corander et al. 2003) between identified clusters was estimated with the Bayesian Analysis of Population Structure software (BAPS) (Corander et al. 2004). The neighbor-joining (NJ) method (Saitou and Nei 1987), as implemented in PHYLIP 3.66, was used to build the phylogenetic trees from the distance matrices, and the results were visualized using Splitstree 4.0 (Huson and Bryant 2006). Possible admixture between the Sable Island population and the other horse breeds was estimated with the factorial 596 Breed-specific alleles (0.02) (0.02) (0.03) (0.03) (0.04) (0.03) (0.02) (0.02) (0.03) (0.03) (0.03) (0.02) (0.03) (0.03) (0.03) (0.03) (0.04) (0.03) (0.02) (0.03) (0.03) (0.06) (0.02) (0.02) (0.02) (0.03) (0.03) (0.02) (0.02) (0.02) (0.02) (0.03) (0.03) (0.01) (0.02) (0.04) (0.02) (0.02) (0.03) (0.02) (0.02) (0.03) (0.02) (0.06) FIS 0.001 0.083 0.065 0.034 0.011 0.017 0.007 0.026 0.001 0.033 0.009 0.009 0.029 0.043 0.023 0.023 0.058 0.046 0.018 0.007 0.010 0.061 Breed Locus Allele Frequency AR FJ FJ HA IC NE TH ST AST MAL MEN HMS3 HTG10 AHT4 HTG10 ASB2 ASB17 ASB23 HMS6 HMS3 HMS7 ASB23 158 95 168 117 224 123 192 139 154 171 213 0.030 0.051 0.059 0.010 0.009 0.009 0.010 0.008 0.011 0.011 0.048 correspondence analysis implemented in GENETIX version 4.05.2 (Belkhir et al. 2004). This method is not sensitive to the different mutation models for microsatellite markers. Marker genotypes were also used to cluster individuals into predefined populations and to inferred clusters with the Bayesian approach implemented in STRUCTURE 2.1 (Pritchard et al. 2000) with 5 independent replicates each using a burn-in period of 100 000 and 1 000 000 iterations. The above approach was used to model 2–25 inferred clusters. Similarly, BAPS was also used to estimate the number of clusters under an admixture model. Individual assignment to predefined populations was tested using the Monte Carlo resampling approach (Paetkau et al. 2004) implemented in GENECLASS 2 (Piry et al. 2004). The final step in partitioning genetic diversity followed the Weitzman’s (1993) diversity function with the 3 different matrices of genetic distances computed above. The Reynold’s and POSA distances used 22 predefined groups, identified as breeds, and the KL allelic divergence relied on 20 inferred clusters. The distance matrices were used as input for the WEITZPRO software (Derban et al. 2002). Results Microsatellite Loci A total of 145 different alleles were detected in the horses assayed at 12 microsatellites. Estimates of the mean and expected number of alleles, observed and expected Plante et al. Genetic Diversity in Sable Island Horses heterozygosities, FIS, and breed-specific alleles are presented in Table 1. The Sable Island population had the lowest diversity (0.63), the smallest number of observed (4.67) and expected (3.21) number of alleles, and a significant heterozygotes deficiency (P 5 0.0413). The AMOVA indicated that 17% of the variation originated among the horse breeds, whereas 83% of the observed variation was coming from within the breeds (UPT 5 0.174, P 5 0.010). Global FST (0.1115, P 5 0.0002) over all loci and horse groups indicate that 11.2% of the genetic variability is attributed to significant differences between the horse breeds including the Sable Island horse population. The distribution of the genetic differentiation among breed pairs ranged from 1.3% for the Appaloosa– Hanoverian pair to 19.2% for the Sable Island horse– Thoroughbred pair. All horse group pair differentiations (FST) were highly significant (P , 0.001). Of the 210 possible horse group pair comparisons, the 13 largest estimates of genetic differentiation involved the Sable Island horse population. Breed Differentiation Results of the factorial correspondence analysis (Figure 2) clearly separated the Sable Island horse population from the other breeds. The first axis, which accounted for 17.54% of the total inertia, isolated the Sable Island horses and the small multipurpose horses (Icelandic, Fjord, Newfoundland, and Hackney). The second axis accounted for 14.33% of the total inertia and separated the sport horse breeds from the heavier and light draft horses. NJ trees based on the POSA and Reynolds’ genetic distance presented similar topologies, comparable to Nei’s standard distance and FST (data not presented). Figure 3 presents the split graph using the KL divergence matrix obtained from the Bayesian analysis of genetic differentiation between the horse breeds, the Sable Island horse population, and the donkey (used as an outgroup) under an admixture model (goodness-of-fit of 94.3%). This approach has the advantage of reducing the complexity of the topology and assigning breeds to inferred clusters based on the frequency of multiloci genotypes. The NJ tree clearly clusters the Sable Island population with light draft and multipurpose breeds (Fjord, Icelandic, Newfoundland, Canadian, and Hackney) commonly found in eastern Canada. The admixture model clustered the Appaloosa and Hanoverian together and the Pottok and Peruvian. After the factorial correspondence analysis, the KL divergence matrix also removed the potential relationship of the Sable Island horses to the Spanish breeds (Asturcon, Mallorquin, Menorquin, Pottok, and Andalusian). Figure 2. Factorial correspondence analysis of the 12 microsatellite loci analyzed in the horse breeds registered in Canada and the Sable Island horse population. clusters (Table 2). Individual genotype membership to inferred clusters varied from 0.95 for the donkeys (Cluster XIV) and just more than 0.90 for the Sable Island horses (Cluster XV). The individual memberships for the Appaloosa and Hanoverian indicated that these horses are highly variable and difficult to assign to a unique cluster. The probabilities of individual assignment to predefined breeds or population showed similar trends. Within the Appaloosa breed, 43 (77%) horses were properly assigned and the remaining 13 could be assigned to other breeds including the Hanoverian, Thoroughbred, Standardbred, Saddlebred, Menorquin, Mallorquin, and Arabian. One hundred percent of the Fjord, Sable Island, Icelandic, and Standardbred horses, and as expected of the donkeys, were properly assigned to the predefined population. For the remaining Breed and Individual Assignment Using the complete multiloci dataset, including the donkey, 2 different Bayesian approaches were used to infer the number of likely clusters (2 K 25) under an admixture model (Figure 4). Both approaches identified 20 possible Figure 3. Split graphs for the 20 identified clusters based on the KL allele divergence estimates. AP–HN and PE–POT are the groups identified with the Bayesian approach. 597 Journal of Heredity 2007:98(6) Discussion Genetic Variation Figure 4. Proportion of membership 1133 individuals from Canadian horse breeds, the Sable island population, the Spanish breeds, and the donkey for K 5 2, 5, 10, and 15–20. breeds, more than 88% of the horses could be assigned to the alleged breed of origin. Breed Contribution to Diversity Using different measures of isolation and genetic distances, and following the Weitzman’s diversity function, Table 3 summarizes the marginal contribution and loss of genetic diversity at the breed level. Regardless of the distance estimate used, the biggest decrease in diversity would occur from the hypothetical loss of the Sable Island horse population. Considering the potential loss of the minor light draft and multipurpose breeds registered in Canada (Canadian, Morgan, Hackney, Newfoundland, Icelandic, Fjord, Saddlebred, and Sable Island population), the marginal loss of diversity from this group would be 40% compared with 18% for the Spanish breeds and 28% for the other more common horse breeds with higher numbers of registrations. 598 This study presents an analysis of genetic diversity in a set of 15 Canadian-registered horse breeds, 5 Spanish breeds, and a feral horse population from Sable Island. The number of alleles per locus (Table 1) is a simple and common measure of genetic diversity and, in some cases, may be more informative than genic heterozygosity, especially when populations have gone through recent bottlenecks (Maruyama and Fuerst 1985; Luikart et al. 1998). Because of their recent breeding history and some introgression from other breeds, the Appaloosa, Morgan, Newfoundland, Hackney, and Saddlebred showed the largest average number of alleles. For the other breeds commonly found in Canada, the number of alleles and heterozygosities are comparable to those previously reported for the Arabian, Icelandic, Hanoverian, and Thoroughbred (Aberle et al. 2004; Glowatzki-Mullis et al. 2005). Our estimates for the Spanish breeds are similar to those reported by Marletta et al. (2006) and Vega-Pla et al. (2006) but slightly higher than those presented by Cañon et al. (2000) and Solis et al. (2005). These latter 2 studies collected relatively large samples from different populations, whereas we collected breed genotypes from an available database, irrespective of localities. We have also observed a relatively large number of breed-specific alleles (Table 1). Except for the ABS23 192 allele found in one Thoroughbred, which could be a single nucleotide insertion/deletion or a PCR artifact, all other rare alleles appear valid, albeit at very low frequencies. It is surprising to find that such alleles are still segregating in minor breeds such as the Fjord (with 2 rare alleles), Icelandic, Newfoundland, and the Hackney. Drift alone may not be severe enough to cause the loss of these particular alleles in these breeds. Our results for the donkey reference population sample revealed less genetic variation (Table 1) than previously reported for other breeds and populations (Jordana et al. 2001; Aranguren-Méndez et al. 2002). Our random sampling of genotypes from an established database probably underestimated the average number of alleles and heterozygosities, and the latter 2 published studies better reflect genetic variation in Spanish donkeys. As previously reported by Behara, Colling, Cothran, Gibson (1998) and Behara, Colling, Gibson (1998) and confirmed in this study, rare and endangered horse breeds in Canada such as the Canadian, Hackney, Morgan, Newfoundland, and Saddlebred show levels of genetic variability comparable or even higher than any other breeds analyzed. The status of these breeds for conservation efforts is based on the small or declining number of breeding individuals and annual registrations. However, our results show that genetic diversity measured in these breeds has been maintained to high levels and supports continued conservation efforts. On the other hand, the Sable Island horse population sample analyzed in this study may not represent Table 2. Estimated membership to inferred clusters obtained by STRUCTURE and individual assignment results of each individual horse to its own predefined breed or to other breeds Inferred Clusters Assignment II III IV V VI VII VIII IX X XI XII XIII XIV XV XVI XVII XVIII XIX XX To To self other group groups % AP AR BE CN FJ HA HN IC MO NE PE PH SA SI TH ST AST MAL MEN POT AND DO 0.030 0.011 0.048 0.737 0.007 0.025 0.017 0.008 0.016 0.021 0.035 0.014 0.011 0.005 0.008 0.007 0.012 0.007 0.037 0.060 0.017 0.002 0.126 0.032 0.007 0.018 0.007 0.010 0.199 0.007 0.019 0.017 0.009 0.030 0.029 0.006 0.406 0.012 0.055 0.012 0.015 0.030 0.018 0.002 0.029 0.007 0.015 0.011 0.842 0.021 0.036 0.022 0.012 0.022 0.015 0.016 0.016 0.005 0.008 0.008 0.010 0.025 0.010 0.024 0.012 0.002 0.099 0.018 0.009 0.015 0.008 0.011 0.064 0.008 0.064 0.017 0.007 0.019 0.027 0.005 0.015 0.765 0.011 0.025 0.023 0.021 0.014 0.003 0.047 0.011 0.010 0.012 0.008 0.070 0.036 0.012 0.033 0.038 0.015 0.024 0.027 0.005 0.012 0.017 0.013 0.689 0.037 0.060 0.015 0.003 0.019 0.010 0.023 0.020 0.008 0.013 0.027 0.019 0.022 0.577 0.011 0.033 0.016 0.006 0.011 0.008 0.009 0.015 0.015 0.020 0.021 0.003 0.038 0.020 0.009 0.021 0.007 0.019 0.050 0.011 0.033 0.041 0.017 0.545 0.024 0.007 0.008 0.013 0.022 0.018 0.033 0.187 0.019 0.003 0.024 0.010 0.068 0.024 0.011 0.016 0.025 0.009 0.023 0.027 0.730 0.013 0.012 0.005 0.006 0.011 0.017 0.010 0.025 0.077 0.019 0.003 0.230 0.019 0.007 0.012 0.005 0.010 0.243 0.007 0.041 0.013 0.008 0.020 0.029 0.004 0.431 0.038 0.018 0.016 0.029 0.030 0.024 0.003 0.022 0.010 0.011 0.012 0.015 0.019 0.017 0.791 0.015 0.038 0.019 0.013 0.018 0.007 0.006 0.008 0.013 0.015 0.014 0.013 0.014 0.003 0.029 0.014 0.017 0.012 0.007 0.012 0.021 0.008 0.016 0.016 0.011 0.023 0.009 0.005 0.010 0.008 0.690 0.016 0.015 0.092 0.013 0.002 0.044 0.731 0.012 0.013 0.008 0.015 0.055 0.011 0.015 0.014 0.009 0.027 0.014 0.005 0.013 0.013 0.017 0.031 0.022 0.041 0.017 0.003 0.003 0.002 0.003 0.003 0.002 0.003 0.002 0.004 0.003 0.002 0.003 0.004 0.003 0.002 0.002 0.003 0.004 0.003 0.002 0.004 0.003 0.949 0.019 0.021 0.007 0.008 0.017 0.012 0.024 0.018 0.020 0.027 0.008 0.018 0.011 0.903 0.010 0.008 0.009 0.008 0.012 0.013 0.009 0.003 0.046 0.021 0.012 0.015 0.007 0.015 0.051 0.009 0.016 0.024 0.012 0.020 0.017 0.005 0.011 0.012 0.014 0.043 0.589 0.053 0.017 0.002 0.063 0.011 0.014 0.007 0.009 0.014 0.026 0.008 0.032 0.013 0.009 0.032 0.657 0.006 0.009 0.013 0.016 0.015 0.019 0.054 0.010 0.003 0.032 0.015 0.009 0.007 0.007 0.010 0.036 0.010 0.020 0.013 0.017 0.021 0.023 0.004 0.013 0.009 0.023 0.010 0.026 0.066 0.705 0.003 0.033 0.016 0.021 0.018 0.009 0.662 0.028 0.020 0.034 0.016 0.017 0.029 0.012 0.005 0.006 0.012 0.011 0.013 0.019 0.043 0.020 0.002 43 47 36 56 59 47 42 53 48 49 53 38 56 57 48 59 42 40 46 40 67 40 56 50 37 57 59 49 48 53 54 54 55 41 60 57 50 59 45 44 52 45 68 40 0.047 0.010 0.013 0.011 0.009 0.022 0.027 0.008 0.546 0.020 0.010 0.041 0.035 0.006 0.010 0.017 0.021 0.017 0.035 0.030 0.017 0.003 0.020 0.010 0.686 0.024 0.008 0.022 0.018 0.009 0.019 0.042 0.039 0.056 0.010 0.005 0.006 0.015 0.014 0.012 0.025 0.083 0.016 0.003 13 3 1 1 2 6 6 5 2 3 4 2 3 4 6 5 1 76.79 94.00 97.30 98.25 100.00 95.92 87.50 100.00 88.89 90.74 96.36 92.68 93.33 100.00 96.00 100.00 93.33 90.91 88.46 88.89 98.53 100.00 599 Plante et al. Genetic Diversity in Sable Island Horses Number Breed of code individuals I Journal of Heredity 2007:98(6) Table 3. Weitzman’s diversity and marginal loss (%) estimates POSA Reynold’s distance Fixation index FST KL divergence Total diversity 7.50 1.47 0.78 15.94 Breed Diversity Marginal loss Diversity Marginal loss Diversity Marginal loss AP AR BE CN FJ HA HN IC MO NE PE PH SA SI TH ST 7.23 6.94 7.08 7.07 6.96 6.99 7.28 7.00 7.10 7.10 7.06 7.06 7.04 6.67 7.05 7.05 3.43 7.41 5.55 5.59 7.12 6.77 2.91 6.68 5.33 5.29 5.85 5.81 6.08 10.98 5.95 5.90 1.44 1.36 1.40 1.39 1.37 1.37 1.44 1.35 1.41 1.40 1.40 1.40 1.38 1.24 1.36 1.38 2.15 7.67 4.75 5.22 6.62 7.07 1.65 7.84 4.19 4.36 4.49 4.81 5.98 15.67 7.47 6.02 0.77 0.72 0.74 0.74 0.73 0.73 0.77 0.72 0.75 0.75 0.75 0.74 0.74 0.64 0.72 0.74 2.06 7.42 5.00 5.16 6.41 6.75 1.56 7.56 3.95 4.24 4.38 4.77 5.90 17.29 7.55 5.79 a truly random collection of animals. As such, our measures of genetic diversity in this particular group may be biased and better reflect the upper limit of estimated genetic diversity. With a reduced effective number of alleles per locus and a significant heterozygous deficiency, the Sable Island horse population exhibits lower genetic diversity than other feral horse populations (Ashley 2004; Morais et al. 2005; Vega-Pla et al. 2006). Breed Differentiation and Assignment Different classical estimates of genetic distances were used to illustrate genetic divergence between the horse breeds and the Sable Island feral population and all resulted in very similar topologies. Our results for the Spanish horse breeds closely resemble those of Vega-Pla et al. (2006). Marletta et al. (2006) elegantly used kinship distances and molecular coancestry (Caballero and Toro 2002) along with a distance estimate based on the average proportion qk(i) of the genome of breed i that comes from an ancestral population k (with k equal to the number of breeds), following the Bayesian approach of Pritchard et al. (2000), to illustrate the genetic relationships among western Mediterranean native horse breeds. Here, we also used a Bayesian approach to estimate the KL divergence matrix between underlying clusters of multilocus genotypes as a measure of the relative genetic distance between these clusters (Corander et al. 2003). Results from the analyses of horse breed differentiation and individual assignment to unique clusters clearly define the Sable Island feral horse population and its close phylogenetic relationships to sport and light draft horse breeds commonly found in eastern Canada. Consequently, 600 Cluster Diversity Marginal loss AP–HN TH BE PE MO PH NE CN HA AR SA ST FJ IC SI 15.55 14.94 15.32 15.30 15.29 15.25 15.31 14.93 14.89 14.83 14.91 14.80 14.77 14.69 13.32 2.40 6.23 3.87 4.00 4.05 4.29 5.06 6.30 6.58 6.93 6.41 7.15 7.30 7.82 16.41 the popular anecdotal influence of Spanish breeds in the Sable Island horse population could not be supported. Within the cluster of eastern horse breeds found in Canada, it remains difficult to assess the origin of the Sable Island horse population; however, these horses share a common ancestor with the Newfoundland, Icelandic, and Fjord breeds. Several Canadian horse breeds analyzed in this study are considered as critical to endangered by Rare Breeds Canada and other conservation interest groups. All these recognized breeds exhibit levels of genetic diversity comparable to and in some cases higher than more common and major horse breeds. As such, in situ conservation efforts can still rely on accessible genetic variability and thus should be able to maintain genetic diversity through well-designed breeding programs. Furthermore, the Weitzman’s diversity function as applied to a different measure of differentiation clearly illustrates the relevance of these breeds to the overall genetic diversity of the Canadian horse population. The Sable Island feral population represents a unique group of individuals. Legally protected since 1960, this horse population has significantly diverged from any other ancestral breeds. No introgression has occurred for at least 11 to 12 generations, and genetic drift and inbreeding likely played a role in the observed loss of genetic diversity as measured by the number of alleles per loci, heterozygous deficiency, and the large genetic distances to other horse breeds. 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Anim Genet. 37:571–578. Received April 13, 2007 Accepted June 14, 2007 602 Corresponding Editor: Ernest Bailey
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