Genetic characterization of Tunisian donkey with DNA microsatellites
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Keywords:
Diversity, Donkey, Genetic, Microsatellites, TunisiaAbstract
The genetic characterization of Tunisian donkeys with microsatellite markers led to the identification of a total of 214 alleles, with an average of 14.27 alleles per locus. The number of effective alleles per locus (Ne) indicates a rich genetic polymorphism for the used markers. The number of alleles per locus (Na) is higher than Ne,confirming the high genetic diversity in the investigated population. Observed heterozygosis(Ho) for all the studied loci inthe entire population equals 0.744. The FIS index was significantly different from zero, pointing toan excess of heterozygotes. The mean of the number of effective migrants exchanged per generation (Nm) was 3.05 indicating a high level of gene exchange. Genetic distances and the principal coordinate analysis showed three distinct population groups/breeds, with a commongenetic structure for all the individuals. This genetic characterization of the Tunisian donkey population constitutes a valuable basis for further investigations, and to the elaboration of adequate conservation strategies.Downloads
References
Beja-Pereira A, England P R, Ferrand N, Jordan S, Bakhiet A O, Abdalla M A, Mashkour M, Jordana J, Taberlet P and Luikart G. 2004. African origins of the domestic donkey. Science 304(5678): 1781. DOI: https://doi.org/10.1126/science.1096008
Binns M M, Holmes N G, Holliman A and Scott A M. 1995. The identification of polymorphic microsatellite loci in the horse and their use in thoroughbred parentage testing. British Veterinary Journal 151(1): 915. DOI: https://doi.org/10.1016/S0007-1935(05)80057-0
Blench R M. 2000. A history of donkeys, wild asses and mules in Africa, pp.339–354. The origins and development of African livestock: Archaeology, genetics, linguistics and ethnography. (Eds.) Blench R M and McDonalds K C. UCL Press,London.
Colli L, Perrotta G, Negrini R, Bomba L, Bigi D, Zambonelli P, Verini Supplizi A, Liotta L and Ajmone Marsan P. 2013.
Detecting population structure and recent demographic history in endangered livestock breeds: the case of the Italian autochthonous donkeys. Animal genetics 44(1): 69–78. DOI: https://doi.org/10.1111/j.1365-2052.2012.02356.x
Coogle L, Roid R and Bailey E. 1996. Equine dinucleotide repeat loci LEX015-LEX024. Animal Genetics 27(3): 217–18. DOI: https://doi.org/10.1111/j.1365-2052.1996.tb00966.x
Eggleston-Stott M L, Valle A D, Bautista M, Dileanis S, Wictum E and Bowling A. 1997. Nine equine dinucleotide repeats at microsatellite loci UCDEQ136, UCDEQ405, UCDEQ412, UCDEQ425, UCDEQ437, UCDEQ467, UCDEQ487,
UCDEQ502 and UCDEQ505. Animal Genetics 28(6): 438– 40.
Ellegren H, Johansson M, Sandberg K and Andersson L. 1992. Cloning of highly polymorphic microsatellites in horse. Animal Genetics 23(s1): 1–9.
FAO. 2011. Molecular genetic characterization of animal genetic resources, FAO.2011. Animal production and health guidelines. No.9. Rome.
Jemmali B, Haddad M M, Barhoumi N, Tounsi S, Lasfer F, Trabelsi A, Aoun B B, Gritli I, Ezzar S andYounes A B. 2017. Genetic diversity in Tunisian horse breeds. Archiv fuer Tierzucht 60(2):153. DOI: https://doi.org/10.5194/aab-60-153-2017
Marklund S, Ellegren H, Eriksson S, Sandberg K and Andersson L. 1994. Parentage testing and linkage analysis in the horse using a set of highly polymorphic microsatellites. Animal Genetics 25(s2): 19–23. DOI: https://doi.org/10.1111/j.1365-2052.1994.tb00442.x
Matassino D, Cecchi F, Ciani F, Incoronato C, Occidente M, Santoro L and Ciampolini R. 2014. Genetic diversity and variability in two Italian autochthonous donkey genetic types assessed by microsatellite markers. Italian Journal of Animal Science 13(1): 3028. DOI: https://doi.org/10.4081/ijas.2014.3028
Nei M. 1972. Genetic distance between populations. The American Naturalist 106(949): 283–92. DOI: https://doi.org/10.1086/282771
Pritchard J K, Stephens M, Rosenberg N A and Donnelly P. 2000. Association mapping in structured populations. The American Journal of Human Genetics 67(1): 170–81. DOI: https://doi.org/10.1086/302959
Slatkin M and Barton N H. 1989. A comparison of three indirect methods for estimating average levels of gene flow. Evolution 43(7):1349–68. DOI: https://doi.org/10.1111/j.1558-5646.1989.tb02587.x
Tapsoba M. 2012. Aspects socio-économiques de l’âne, les pathologies dominantes et leur prise en charge au Burkina Faso. ThèseMédVét Dakar 16:165.
Van Haeringen H, Bowling A T, Stott M L, Lenstra J A and Zwagstra K A. 1994. A highly polymorphic horse microsatellite locus: VHL20. Animal Genetics 25(3): 207. DOI: https://doi.org/10.1111/j.1365-2052.1994.tb00129.x
Weir B S and Cockerham C C. 1984. Estimating F statistics for the analysis of population structure. Evolution 38(6):1358– 70. DOI: https://doi.org/10.2307/2408641
Wright S. 1965. The interpretation of population structure by F statistics with special regard to systems of mating. Evolution 19(3): 395–420. DOI: https://doi.org/10.1111/j.1558-5646.1965.tb01731.x
Wright S. 1978. Evolution and the genetics of populations: a treatise in four volumes: Vol. 4: variability within and among natural populations. University of Chicago Press.
Yun S and Cho G. 2017. Molecular genetic diversity of donkey (Equusasinus) in South Korea. bioRxiv doi: https://doi.org/10.1101/213520. DOI: https://doi.org/10.1101/213520
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