Genetic characterization of brown type donkeys of Andhra Pradesh using microsatellite markers
303 / 110
Keywords:
Andhra Pradesh, Diversity, Donkey, MicrosatellitesAbstract
The brown type donkeys of Andhra Pradesh, which are mainly concentrated in Kurnool and Anathapur districts, were evaluated for within breed genetic diversity and bottlenecks using heterologous microsatellite markers. The genomic DNA, isolated from 28 blood samples collected from Kurnool district, were amplified by PCR using FAM and HEX labeled primers and resolved for alleles on automatic DNA sequencer. In all, twenty loci of the horse origin were tested and only 12 loci gave scorable results. Rest of the loci either did not amplify (HMS3 and HMS7) or did not resolve properly (VHL20) or showed less than 4 alleles (HMS5, HMS6, HTG4, ASB17 and COR22) in the studied population. At the 12 loci included in the final analysis, the PCR product size range varied from 76-92 bp at locus HTG6 to 257-273 bp at locus COR18. The observed number of alleles varied from 4 (VHL209) to 10 (AHT5 and HTG7) with a mean of 6.92±1.83. The effective number of alleles ranged from 1.62 (VHL209) to 7.91 (AHT5) with a mean of 4.21±2.06. The observed heterozygosity ranged from 0.32 (HMS2) to 0.92 (AHT5) with a mean of 0.57±0.2. The expected heterozygosity ranged between 0.39 (VHL209) to 0.89 (AHT5 and HTG7) with a mean of 0.72±0.14. The mean genetic diversity estimate (FIS) was 0.21 indicating moderately high levels of inbreeding. The cumulative exclusion probability (PE) of these loci was 0.999892 indicating their suitability for parentage testing in these donkeys. The sign test, standardized differences test, the Wilcoxon test using the allelic frequency data at the studied loci as well as normal 'L' shaped distribution of the allelic frequency indicated the absence of any recent genetic bottleneck in Brown type donkeys of Andhra Pradesh. When these donkeys were compared to Spiti donkeys of Himachal Pradesh on the basis of allelic frequency data at these loci, they showed Nei's standard and unbiased genetic distances of 0.32 and 0.29, respectively.
Downloads
References
Aranguren-Mendez J, Jordana J and Gomez M. 2001. Genetic diversity in Spanish donkey breeds using microsatellite DNA markers. Genetics Selection Evolution 33: 433–42. DOI: https://doi.org/10.1186/1297-9686-33-4-433
Behl R, Niranjan S K, Vijh R K and Dharma Rao M V. 2016. Andhra Pradesh ke Bhuri kism ke Gadhe. Pashudhan Prakash 7: 14–16.
Bordonaro S, Gautella A M, Criscione A, Zuccaro A and Marletta D. 2012. Genetic diversity and variability in endangered Pantesco and two other Sicillian breeds assessed by microsatellite markers. Scientific World Journal 2012: 648427. DOI: https://doi.org/10.1100/2012/648427
Botstein D, White R L, Skolnick M and Davies R W. 1980. Construction of a genetic linkage map in man using restriction length polymorphism. American Journal of Human Genetics 32: 314–31.
Colli, Perrotta G, Negrini R, Bomba L, Bigi D, Zambonelli P, Verini S A, Liotta L and Ajmore-Marron P. 2013. Detecting population structure and recent demographic history in endangered livestock breeds: the case of the Italian autochthonous donkeys. Animal Genetics 44: 69–78. DOI: https://doi.org/10.1111/j.1365-2052.2012.02356.x
Cornuet J M and Luikart G. 1996. Description and power analysis of two tests for detecting recent population bottlenecks from allelic frequency data. Genetics 144: 2001–14. DOI: https://doi.org/10.1093/genetics/144.4.2001
Goldstein D B and Schlotterer C. 1999. Microsatelltes: Evolution and Applications. Oxford university Press, Oxford.
Goudet J. 2001. Fstat, version 2.9.3, A program to estimate and test gene diversities and fixation indices (http://www.unil.ch/popgen/softwares/fstat.html), Lausanne University, Lausanne, Switzerland.
Ivankovic A, Kavar T, Caput P, Mioc B, Pavic V and Dovc P. 2002. Genetic diversity of three donkey populations in the Croatian coastal region. Animal Genetics 33: 169–77. DOI: https://doi.org/10.1046/j.1365-2052.2002.00879.x
Jamieson A and Taylor C S. 1997.Comparison of three probability formulae for parentage exclusion. Animal Genetics 28: 397– 400. DOI: https://doi.org/10.1111/j.1365-2052.1997.00186.x
Jordana J, Folch P and Aranguren J A. 2001. Microsatellite analysis of genetic diversity in Catalonian donkey breeds. Journal of Animal Breeding and Genetics 118: 57–63. DOI: https://doi.org/10.1046/j.1439-0388.2001.00266.x
Kruger K, Gaillard C, Stranzinger G and Rieder S. 2005. Phylogenetic analysis and species allocation of individual equids using microsatellite data. Journal of Animal Breeding and Genetics 122 (Suppl I): 78–86. DOI: https://doi.org/10.1111/j.1439-0388.2005.00505.x
Luikart G, Allendorf F W, Cornuet J M and Sherwin W B. 1998. Distortion of allele frequency distribution provides a test for recent population bottlenecks. Journal of Heredity 89: 238– 47. DOI: https://doi.org/10.1093/jhered/89.3.238
Nei M. 1972. Genetic distance between populations. American Naturalist 106: 283–92. DOI: https://doi.org/10.1086/282771
Nei M. 1978. Estimation of average heterozygosity and genetic distance from small number of individuals. Genetics 89: 583– 90. DOI: https://doi.org/10.1093/genetics/89.3.583
Nei M. 1987. Molecular Evolutionary Genetics. Columbia University Press, New York, USA. DOI: https://doi.org/10.7312/nei-92038
Piry S, Luikart G and Cornuet J M. 1999. Bottleneck: a computer program for detecting recent reductions in effective population size using allele frequency data (http://www1.montpellier.inra.fr/CBGP/softwares/Bottleneck). Journal of Heredity 90: 502–03. DOI: https://doi.org/10.1093/jhered/90.4.502
Raymond M and Rousset F. 1995.Genepop, version 3.4, Population genetic software for exact tests and ecumenicism (http://biomed.curtin.edu.au/genepop). Journal of Heredity 86: 248–49. DOI: https://doi.org/10.1093/oxfordjournals.jhered.a111573
Rousset F. 2008. Genepop, version007: a complete reimplementation of the Genepop software for Windows and Linux (http://genepop.curtin.edu.au). Molecular Ecology Resources 8: 103–06. DOI: https://doi.org/10.1111/j.1471-8286.2007.01931.x
Takezaki N and Nei M. 1996. Genetic distances and reconstruction of phylogenetic trees from microsatellite DNA. Genetics 144: 389–99. DOI: https://doi.org/10.1093/genetics/144.1.389
Weir B S and Cockerham C C. 1984. Estimating F statistics for analysis of population structure. Evolution 38: 1358–70. DOI: https://doi.org/10.1111/j.1558-5646.1984.tb05657.x
Yeh F C, Boyle T, Rongcal Y, Ye Z and Xian J M. 1999. Popgene, version 3.31, a Microsoft Windows based freeware for population genetic analysis. (https://sites.ualberta.ca/fyeh/popgene.html).
Zhao C J, Han G C, Qin Y H and Wu Ch. 2005. Differentiating among horse (Equus caballus), donkey (Wquus asinus) and their hybrids with combined analysis of nuclear and mitochondrial gene polymorphism. Journal of Animal Breeding and Genetics 122: 285–88. DOI: https://doi.org/10.1111/j.1439-0388.2005.00535.x
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2017 The Indian Journal of Animal Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Animal Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.