The Pentro horse: genetic characterization by microsatellite markers

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The Pentro horse: genetic characterization by microsatellite markers Arianna Bruzzone 1, Daniela Iamartino 1, Michele Blasi 2, Fabio Pilla 1 1 Dipartimento SAVA. Università del Molise, Campobasso, Italy 2 Laboratori Gruppi Sanguigni. Potenza, Italy Corresponding author: Dr. Daniela Iamartino. Facoltà di Agraria, Università degli Studi del Molise. Via De Sanctis, 86100 Campobasso, Italy - Tel. +39 0874 404660 Fax: +39 0874 404678 - Email: iamartino@unimol.it Paper received February 4, 2003; accepted September 15, 2003 ABSTRACT The Pentro horse population is an autochthonous breed from a breeding area characterized by climatic and geographic peculiarities. The horse population is interesting because of its rusticity, however, has run the risk of loosing its identity because of the introduction of exotic genetic material. This study presents data of the genetic characterization by means of microsatellite markers. A total of 12 microsatellite loci were used to score 147 individuals among those with the Pentro phenotype, as well as 16 individuals representing the variable part of the population. Allele frequencies were calculated for each locus, with the mean number of alleles (Nall = 6.7) and the expected heterozygosity (He = 0.724). The mean observed heterozygosity was 0.695. The obtained data were used to compare the genetic structure of the Pentro horse to six other Italian breeds. The N-J tree computed on individual genetic distances showed that 93% of Pentro horses clustered together. Key words: Pentro horse, Microsatellite, Genetic biodiversity, Genetic distances. RIASSUNTO IL CAVALLO PENTRO: CARATTERIZZAZIONE GENETICA CON MARCATORI MICROSATELLITI La popolazione equina denominata cavallo Pentro è un tipo genetico autoctono la cui area di allevamento mostra delle peculiarità climatiche e geografiche. Questa popolazione equina è interessante per la sua rusticità ma è stata a rischio di perdere la sua identità genetica a causa dell introduzione di materiale genetico esotico. In questo lavoro vengono presentati i risultati della caratterizzazione genetica della popolazione utilizzando i marcatori molecolari microsatelliti. Per l analisi sono stati utilizzati 12 loci microsatelliti e sono stati tipizzati 147 individui che presentavano morfologia Pentro più 16 individui a morfologia non Pentro che rappresentavano la parte variabile della popolazione. Sono state calcolate le frequenze alleliche ad ogni locus, il numero medio di alleli (Nall = 6.7) e l eterozigosità attesa (He = 0.724). L eterozigosità media osservata è di 0.695. I dati ottenuti sono stati utilizzati per confrontare il Pentro con altre sei razze Italiane. Il diagramma N-J costruito sulla base delle distanze genetiche individuali mostra che il 93% degli individui Pentro formano un unico gruppo. Parole chiave: Cavallo Pentro, Microsatellite, Biodiversità genetica, Distanze genetiche. ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003 223

BRUZZONE et al. Introduction The remains of an autochthonous horse population called Cavallo Pentro is bred in the wild in the mountainous area of the Molise region in Italy. The population today numbers about 250 heads among which only approximately150 individuals show the morphological traits of the original Pentro horse (Miraglia et al., 2001), well adapted to the difficult environment of the Pantano della Zittola, its breeding area. This is a wide plain of about 2200 hectares, located along the border of the Abruzzo National Park in the mountainous territory between the regions of Abruzzo and Molise. Due to its climatic and geographic peculiarities, the Pantano is considered an ecological niche where some rare vegetal species can be found (Lucchese et al., 1995). Living conditions in this area are very difficult because of the harsh climate; the winter is cold with floods and abundant snow while the summer is very dry. Parasites are among the principal causes of death during this season. Moreover, the presence of predators, mainly wolves and bears from the nearby National Park, represent a constant danger for the livestock. For a long time the population has been left completely free to graze, to mate and to defend itself from predators attacks. It is only during the spring season that the breeders collect some of the colts to be sold for meat. The origin of this population can be inferred relying only on hypothesis and indirect evidence. In any case, it is reasonable to attribute the first introduction to some Berber individuals. In recent decades, because of the disappearance of traditional breeding practices, the breeding of the Pentro horse has been abandoned. During the 1920s and 30s stallions of different origin were introduced from breeds such as Murgese, Maremmano, TPR (Tiro Pesante Rapido), Appalloosa and others, partially altering the morphological and genetic characters of the Pentro population. Because of its peculiar adaptive ability, the Pentro horse must be considered a genetic resource which needs to be preserved. Moreover, the horse pasture is very important for the ecological equilibrium of the area. Compared with other economically important livestock species, only a few papers have been published on horses regarding biological diversity and ecological research approach, and most of them used biochemical markers such as blood groups by Cothran et al. (2001). The genetic structure of Spanish Celtic horses was studied by means of microsatellite markers (Canon et al., 2000), and the Italian breed Maremmano has been characterized by Ceriotti (1998). In this paper a genetic characterization of the Pentro horse by means of microsatellite markers is presented. The aim of the work is the analysis of biodiversity and the relationship of Pentro horse versus other horse breeds. Material and methods Sample collection During the summer season in the years 2000 and 2001, a census of the population was undertaken (Miraglia et al., 2001). Morphological and genealogical data were collected and blood samples were taken from a total of 163 individuals, 147 of which belonging to the group Pentro and representing the total of the mating individuals in this group, and 16 belonging to the group Other as a sample of the morphologically variable part of the population. In addition, 6 Italian horse breeds (Maremmano - 40 individuals, TPR - 42 individuals, Murgese-16 individuals, Haflinger - 39 individuals, Trottatore - 40 individuals and Bardigiano - 41 individuals) were included as a comparison. DNA samples were obtained from lymphocytes with the classical phenol-chloroform extraction protocol (Sambrook et al., 1989). Microsatellite analysis Twelve microsatellite loci (HTG10, VHL20, HTG7, HTG4, AHT5, AHT4, HMS3, HMS6, HMS7, LEX003, HMS2, ASB2) were amplified with a protocol of multiplex PCR (Blasi et al., 1999). For each locus the chromosomal location, the primer reference, number of alleles and size rage in the studied populations are reported in Table 1. Genotypes were scored with an ABI 377 automatic sequencer, 224 ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003

PENTRO HORSE POPULATION and the GENESCAN and GENOTYPER computer packages. Data analysis Allelic frequencies and number of alleles for each locus were calculated for each population with the GENEPOP ver. 3.1d computer package (Raymond et al., 1995). Hardy-Weinberg expectations were computed using the program ARLEQUIN ver. 2.000 (Schneider et al., 2000). Average observed and expected heterozygosities and number of alleles for each breed were computed with the Microsatellite toolkit (Park et al., 2001). Statistical significance of differences among mean observed heterozygosities of breeds were calculated using the Student t procedure. The locus LEX003 for its location on the X chromosome was not included in the calculation of average heterozygosities and number of alleles because it does not have paternal allele. Genetic distance by Nei (1987) was used for the breed comparison, while distances among individuals were calculated as the proportion of shared alleles, (Dps=1-Ps) according to Bowcock et Table 1. References, chromosomal location, number of alleles and size range for the 12 microsatellite loci. Locus Reference Chromosome N. alleles Size range (bp) HTG10 Marklund et al., 1994 21 14 88-116 VHL20 Van Hearingen et al., 1992 30 11 87-107 HTG7 Marklund et al., 1994 4 9 114-132 HTG4 Ellegen et al., 1992 9 8 125-139 AHT5 Binns et al., 1995 6 10 127-145 AHT4 Goddard et al., 1998 24 10 146-164 HMS3 Guerin et al., 1994 9 9 152-170 HMS6 Guerin et al., 1994 4 8 157-171 HMS7 Guerin et al., 1994 1 7 173-185 LEX03 Coogle et al., 1996 X 12 195-217 HMS2 Guerin et al., 1994 10 13 215-239 ASB2 Breen et al., 1997 15 15 219-255 Table 2. Number of heterozygous observed and expected, p values and standard deviation for each locus in the two subsamples Pentro and Other. Pentro Other Locus Obs. He Exp. He P SD Obs. He Exp. He P SD HTG10 0.584 0.736 <0.001* <0.001 0.625 0.833 0.044 0.001 VHL20 0.698 0.842 <0.001* <0.001 0.750 0.855 0.290 0.002 HTG7 0.635 0.732 <0.001* <0.001 0.625 0.690 0.426 0.005 HTG4 0.584 0.591 0.094 0.002 0.750 0.665 0.926 0.001 AHT5 0.886 0.804 0.001* <0.001 0.688 0.889 0.051 0.001 AHT4 0.594 0.696 0.012* 0.001 0.875 0.744 0.487 0.004 HMS3 0.667 0.724 0.071 0.003 0.750 0.738 0.660 0.003 HMS6 0.742 0.721 0.037* 0.002 0.688 0.847 0.148 0.003 HMS7 0.710 0.757 <0.001* <0.001 0.875 0.738 0.822 0.004 LEX03 0.726 0.768 <0.001* <0.001 0.750 0.762 0.345 0.003 HMS2 0.683 0.786 <0.001* <0.001 0.750 0.802 0.383 0.003 ASB2 0.782 0.805 <0.001* <0.001 0.688 0.861 0.105 0.001 * Significant P values. ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003 225

BRUZZONE et al. al. (1994) using the MICROSAT program (Minch et al., 1995). In the breed comparison the Pentro and the Other group were considered as a single population. Neighbour-joining diagrams (Saitou et al., 1987) were constructed on genetic distances using the PHYLIP package ver. 3.5 c (Felsenstein, 1993). The program TreeView (Page, 1996) was used to visualize the diagrams. Variability levels within and between breeds were estimated using the F statistics according Weir and Cockerman (1984) using the Fstat program (Goudet, 1995). The two groups composing the Pentro population were analyzed separately in order to check whether any difference in the genetic variability could be detected between the morphologically uniform part of the population and the group of heterogeneous individuals. Deviation from Hardy-Weinberg equilibrium were tested across loci for the two groups. The Fst index between the Pentro and the Other groups was also calculated in order to check an eventual subdivision of the population into the two subgroups. Results and discussion Genetic variability of the Pentro horse population All the loci were well amplified and they were also polymorphic; the total number of observed alleles was 104 in the entire Pentro population; the average number of alleles per locus is 8.6. The lower number of alleles is 6 and is found for the locus HMS7. The higher number of alleles is 11, and is found for the loci VHL20, HMS2 and ASB2. The Pentro group resulted to be significantly (P<0.001) in disequilibrium for 10 loci out of 12, while the Other had no significant disequilibrium. The number of heterozygous observed and expected and the P values are reported in Table 2. The probability test for the heterozygous deficit confirmed these findings, for the Pentro group where a 5% significant value was observed in 10 out of the 12 loci. The Fst value calculated between Pentro and Other was 0.0186. Breed comparison Average heterozygosity values and number of alleles are reported in Table 3 for each breed. Differences between the observed mean heterozygosities are not significant. This result indicates that the level of genetic homogeneity among individuals in the Pentro population is comparable with the levels observed for standardized breeds. In order to test whether the Pentro group constitutes a separate unit in the population, genetic distances among single individuals were calculated as the proportion of shared alleles and used to build a Neighbour-Joining diagram. Data obtained with the same marker set for 6 Italian standardized breeds have been included in the analysis. This method, proposed by Bowcock et al. (1994) for the study of human populations was recently used on horses as a statistical test for breed Table 3. Number of individuals, mean heterozygosity values, mean number of alleles per locus and relative SD for the six horse breeds and for the Pentro population. Average heterozygosity Population Sample size N. alleles SD expected SD observed SD Pentro 132 8.6 1.9 0.754 0.019 0.693 0.012 Maremmano 40 7.4 2.3 0.729 0.022 0.727 0.021 TPR 42 6.3 1.4 0.727 0.021 0.755 0.020 Haflinger 39 6.5 1.5 0.681 0.034 0.661 0.023 Bardigiano 40 6.5 1.6 0.710 0.027 0.730 0.021 Murgese 16 5.8 1.3 0.748 0.020 0.716 0.034 Trottatore 40 5.6 1.1 0.717 0.031 0.684 0.022 Average 6.7 0.724 0.709 226 ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003

PENTRO HORSE POPULATION assignment (Bjornstad et al., 2001). Bjornstad s study (2001) shows how 10 microsatellite markers are enough to give a result of 75% in terms of correct assignment while raising the number of markers up to 20 increases the successful assignment to 95%. The tree shows a high degree of structuring of the breeds (Figure 1). On the total number of individuals included only 59 do not group exactly in the breed of origin. The Pentro horses group together in 93% of the cases, and no subgrouping of the individuals showing the morphological traits of the Pentro horse with respect to the group Other is observed. For the other breeds the percentage of individual clustering together are: TPR 90%, Trottatore and Bardigiano 85%, Haflinger 87%. Maremmano and Murgese are the less defined groups with only 47% and 56%, respectively. A further investigation of the genetic structure of the population gave a value of population subdivision of 10.5% (Fst value is 0.105), repeating the analysis and excluding the Pentro population this value decreases to 9.6% (Fst value is 0,096). The genetic correlation between the Pentro horse and three related breeds (Maremmano, Murgese and TPR) was analyzed and compared with more distant breeds (Haflinger, Bardigiano, and Trottatore). The NJ diagrams constructed on the Nei s genetic distance and using 500 bootstrap values, give a picture that is in accordance with historic records (Figure 2). The Pentro horse results to be closely related to the TPR and Murgese (bootstrap value 235/500), as expected if taking into account the recent introduction of individuals from those breeds in the population. Discussion The data reported in this work show how the Pentro horse population living in the Pantano della Zittola is the result of the adaptation to a difficult environment. The condition of strong HW disequilibrium found for the majority of the loci analyzed (P value is statistically significant for 10 out of 12), is probably due to the small population size. The hypothesis of a Walhund effect in order to justify the deviations from HW equilibrium seems not to be reliable by the fact that mating is free and not planned by the breeders; obviously since the low number of individuals mating between relatives occurs very frequently. The Fst value calculated between Pentro and Other is 0.0186 indicating that there is no genetic differentiation between the two groups despite their morphological differences. The NJ diagram of single individuals genetic distances, where all the individuals assigned to the group Other are well dispersed the population, also confirms this finding. Regarding the allele sharing distance among single individuals, all the breeds display a good level of correct clustering (Figure 1). The only exceptions are Maremmano and Murgese. In both the cases this is probably the effect of recent cross breeding with other breeds. In the NJ diagram of populations, Nei s genetic distances display a pattern in accordance with historic records for each breed. The Pentro horse results closely related to the TPR, which were mainly used for introduction in the population. The Maremmano breed was also used in the last decades for cross breeding in the Pentro population, nevertheless it results to be located on the NJ diagram far away from the Pentro. This could be due to the weak uniformity of this breed which, in the same way, has had many different breeds (English pure-bred, Hackney and Arab) introduced (Gandini et al.,1996). The Maremmano is also the breed showing the lowest level of correct assignment in the individuals NJ diagram (47%). These results confirm the hypothesis of the Pentro horse being a genetic unit well differentiated from all the breeds analyzed in this work. This result is even more interesting if the introduction of genetic material from some of those breeds in the Pentro population is taken into account. The Pentro horse, despite all the foreign genetic material which has been introduced, has conserved its uniqueness. This introduction did not cause a total fading of the morphological characteristics of the original population. Conclusions These results demonstrate that the Pentro horse population, despite the numerous influxes from others breeds, shows a similar degree of ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003 227

BRUZZONE et al. Figure 1. N-J diagram of distances among single individuals constructed using the proportion of shared alleles. Maremmano 19/40 Pentro 132/142 Haflinger 34/39 TPR 38/42 Bardigiano 35/41 Trottatore 34/40 Murgese 9/16 Maremmano Pentro Halfinger TPR Bardigiano Trottatore Murgese ALTRO 228 ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003

PENTRO HORSE POPULATION Figure 2. N-J tree between populations constructed using the Nei s distance. The bootstrap percentages are reported. HA MA TR 403 135 174 86 BA MU 241 CP TPR 100 HA= Haflinger; MA= Maremmano; BA=Bardigiano; CP=Cavallo Pentro; TPR=Tiro Pesante Rapido; MU=Murgese; TR=Trottatore. genetic uniformity and identity compared to the other standardized breeds. This population constitutes a defined cluster and is differentiated from the other populations analyzed in this work. Interbreeding is a common practice between the breeders and it is used to modify the characteristics of breeds according to the needs and also to expand the size of a population when it is becoming too small. This practice is useful in a sense to preserve from excessive inbreeding, but it is also deleterious where small endangered populations are concerned. In this paper the case of the Pentro horse is presented, but other breeds seem to suffer from problems of this nature. The uniqueness of the Pentro horse resides in its adaptive ability, which preserved it from complete extinction through mixing with other breeds. The preservation of not only a natural, but also a social and cultural environment, is essential for the conservation of livestock genetic resources. REFERENCES BJORNSTAD, G., ROED, KH., 2001. Breed demarcation and potential for breed allocation of horses assessed by microsatellite markers. Anim. Genet. 32: 59-65 BLASI, M., LANZA, A., PERROTTA, G., RANDO, A., 1999. Evaluation of twelve microsatellites for parentage testing in trotter horses. pp 197-199 in Proc. 13 th Nat. Congr. ASPA, Piacenza, Italy. BOWCOCK, A.M., RUIZ-LINARES, A., TOMFOHRDE, J., MINCH, E., KIDD, J.R., CAVALLI-SFORZA, L.L., 1994. High resolution of human evolutionary trees with polymorphic microsatellites. Nature. 368: 455-457. BREEN, M., DOWNS, P., IRVIN, Z., BELL, K., 1994. Intragenic amplification of horse microsatellite markers with emphasis on the Przewalski s horse (E. Przewalski). Anim. Genet. 25: 401-405. CANON, J., CHECA, M.L., CALEOS, C., VEGA-PLA, J.L., VALLEJO, M., DUNNER, S., 2000. The genetic structure of Spanish Celtic horse breeds inferred from microsatellite data. Anim. Genet. 31:39-48. CERIOTTI, G., 1998. Genetic analysis of Maremmano horse using microsatellites. Proc. 52 nd Nat. Congr. S.I.S.Vet., Silvi Marina (TE), Italy, 52:485-486. ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003 229

BRUZZONE et al. COOGLE, L., REID, R., BALEY, E., 1996. Equine dinucleotide repeat loci LEX015- LEX024. Anim. Genet. 27: 217-218. COTHRAN, E.G., VAN DYK, E., VAN DER MERWE, F.J., 2001. Genetic variation in the feral horses of the Namib Desert, Namibia. S. Afr. Vet. Assoc. 72(1): 18-22. ELLEGREN, H., JOANSSON, M., SANDBERG, K., ANDERSSON, L., 1992. Cloning of highly polymorphic microsatellites in the horse. Anim. Genet. 32: 133-142. FELSENSTEIN, J., 1993. PHYLIP (Phylogeny Inference Package). Version 3.5c distributed by the author. Department of Genetics, University of Washington, Seattle, USA. GANDINI, G., ROGNONI, G., 1996. Atlante etnografico delle popolazioni equine ed asinine italiane. Città Studi Edizioni, Milano, Italy. GOUDET, J., 1995. FSTAT, version 1.2: a computer program to calculate Fstatistics. J. Hered. 86: 485-486. GUERIN, G., BERTAUD, M., AMIGUES, Y., 1994. Characterisation of seven new horse microsatellite: HMS1, HMS2, HMS3, HMS4, HMS5, HMS6, HMS7 and HMS8. Anim. Genet. 25: 62. LUCCHESE, F., 1995. Elenco preliminare della flora spontanea del Molise, Ann. Bot. 53: 1-386. MARKLUND, S., ELLEGREN, H., ERIKSSON, S., SANDBERG, K., ANDERSSON, L., 1994. Parentage testing and linkage analysis in the horse using a set of highly polymorphic microsatellites. Anim. Genet. 25: 19-32. MINCH, E., RUIZ-LINARES, A., GODSTEIN, D.B., FELDMAN, M.W., CAVALLI-SFORZA, L.L., 1995. MICROSAT, A computer program for calculating various statistics on microsatellite allele data (version 1.4 d). Stanford University Medical Center, Stanford, USA. MIRAGLIA, N., POLIDORI, M., LUCCHESE,F., PIETROLÀ, E., 2001. Exploitation of low productive pastures in wet areas by wild horses: zootechnical and environmental factors. Page 326 in Proc. 52 nd Meet. EAAP, Budapest, Hungary. NEI, M., 1987. Molecular evolutionary genetics, Columbia University Press., New York, USA. PAGE, R.D.M., 1996. TreeView: an application to display phylogenetics trees on personal computer. CABIOS. 12: 357-358. PARK, S.D.E., 2001. Trypanotolerance in West African Cattle and the Population Genetics Effects of Selection, University of Dublin, Ireland. RAYMOND, M., ROUSSET, F., 1995. GENEPOP: population genetic software for exact tests and ecumenicism. J. Hered. 86: 248. SAMBROOK, J., FRITSCH, E.F., MANIATIS, T., 1989. Molecular cloning: a laboratory manual. Cold Spring Harbor Laboratory Press, New York, USA. SAITOU, N., NEI, M., 1987. The Neighbour-Joining method: a new method for reconstructing phylogenetics trees. Mol. Biol. Evol. 4: 406-425. SCHENEIDER, S., ROESSLI, D., EXCOFFIER, L., 2000. Arlequin ver. 2.000: A software for population genetics data analysis. Genetics and biometry Laboratory, University of Geneva, Switzerland. VAN HAERINGEN, H., BOWLING, A.T., STOTT, M.L., LENSTRA, A., ZWAAGSTRA, K.A., 1994. A highly polymorphic horse microsatellite locus: VHL20. Anim. Genet. 25: 207. 230 ITAL.J.ANIM.SCI. VOL. 2, 223-230, 2003