Literature DB >> 33063149

Genetic characterization and population structure of different coat colour variants of Badri cattle.

Aashaq Hussain Dar1, Sanjay Kumar1, Manishi Mukesh2, Sheikh Firdous Ahmad3,4, Dev Vrat Singh1, Rabendra Kumar Sharma1, Ashis Kumar Ghosh1, Balwinder Singh1, Javid Ur Rahman1, Monika Sodhi5.   

Abstract

The present study aimed to genetically characterize the Badri cattle and its three colour variants and assess their population structure using 24 microsatellite markers. Out of 96 animals analyzed, 32 each were collected from grey (GVBC), brown (BrVBC) and black (BVBC) colour variants of Badri cattle (BC). The genetic diversity parameters including allele frequencies, observed and effective number of alleles, observed and expected heterozygosity, PIC, Shannon's indices and F-statistics were estimated using POPGENE software. Bottleneck analysis was performed using both qualitative and quantitative approaches. A total of 274 alleles (50 private and 224 shared) were scored for BC, GVBC, BrVBC and BVBC with mean number of 11.417, 9.083, 9.125 and 9.083 alleles, respectively. All populations exhibited average heterozygosity estimate > 0.5 indicating existence of substantial genetic variability, concurrent with revelations from Shannon's indices. Observed mean PIC estimates (> 0.74) were indicative of optimum informativeness of used microsatellite markers. The mean inbreeding estimates (F) in GVBC, BrVBC and BVBC were 0.041, - 0.024 and 0.016, respectively. The pair wise genetic (> 0.91) pointed towards similarity between different colour variant populations. STRUCTURE analysis also revealed clear admixture for the three Badri colour variants indicating absence of genetic differentiation. The present study revealed first-hand information that populations of Badri cattle with different phenotypes with respect to coat colour are genetically related and can be considered as a single breed. The comprehensive knowledge generated for Badri cattle will help in designing breeding plan for its genetic improvement and deciding the conservation priorities.

Entities:  

Keywords:  Bottleneck; Genetic diversity; Inbreeding; Indigenous; Microsatellite markers

Mesh:

Year:  2020        PMID: 33063149     DOI: 10.1007/s11033-020-05890-w

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  19 in total

1.  New methods employing multilocus genotypes to select or exclude populations as origins of individuals.

Authors:  J M Cornuet; S Piry; G Luikart; A Estoup; M Solignac
Journal:  Genetics       Date:  1999-12       Impact factor: 4.562

2.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

3.  Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Authors:  G Evanno; S Regnaut; J Goudet
Journal:  Mol Ecol       Date:  2005-07       Impact factor: 6.185

4.  Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data.

Authors:  J M Cornuet; G Luikart
Journal:  Genetics       Date:  1996-12       Impact factor: 4.562

5.  Genetic structure of Iranian indigenous sheep breeds: insights for conservation.

Authors:  Otsanda Ruiz-Larrañaga; Hojjat Asadollahpour Nanaei; Iratxe Montes; Ahmad Ayatollahi Mehrgardi; Alireza Abdolmohammadi; Hamed Kharrati-Koopaee; Saeed S Sohrabi; Fernando Rendo; Carmen Manzano; Andone Estonba; Mikel Iriondo; Ali Esmailizadeh
Journal:  Trop Anim Health Prod       Date:  2020-03-06       Impact factor: 1.559

6.  Revealing fine scale subpopulation structure in the Vietnamese H'Mong cattle breed for conservation purposes.

Authors:  C Berthouly; J C Maillard; L Pham Doan; T Nhu Van; B Bed'Hom; G Leroy; H Hoang Thanh; D Laloë; N Bruneau; C Vu Chi; V Nguyen Dang; E Verrier; X Rognon
Journal:  BMC Genet       Date:  2010-06-07       Impact factor: 2.797

Review 7.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

8.  The impact of tick-borne pathogen infection in Indian bovines is determined by host type but not the genotype of Theileria annulata.

Authors:  S D Larcombe; S W Kolte; G Ponnudurai; N Kurkure; S Magar; R Velusamy; N Rani; B Rubinibala; B Rekha; A Alagesan; W Weir; B R Shiels
Journal:  Infect Genet Evol       Date:  2019-07-22       Impact factor: 3.342

9.  Prospects and challenges for the conservation of farm animal genomic resources, 2015-2025.

Authors:  Michael W Bruford; Catarina Ginja; Irene Hoffmann; Stéphane Joost; Pablo Orozco-terWengel; Florian J Alberto; Andreia J Amaral; Mario Barbato; Filippo Biscarini; Licia Colli; Mafalda Costa; Ino Curik; Solange Duruz; Maja Ferenčaković; Daniel Fischer; Robert Fitak; Linn F Groeneveld; Stephen J G Hall; Olivier Hanotte; Faiz-Ul Hassan; Philippe Helsen; Laura Iacolina; Juha Kantanen; Kevin Leempoel; Johannes A Lenstra; Paolo Ajmone-Marsan; Charles Masembe; Hendrik-Jan Megens; Mara Miele; Markus Neuditschko; Ezequiel L Nicolazzi; François Pompanon; Jutta Roosen; Natalia Sevane; Anamarija Smetko; Anamaria Štambuk; Ian Streeter; Sylvie Stucki; China Supakorn; Luis Telo Da Gama; Michèle Tixier-Boichard; Daniel Wegmann; Xiangjiang Zhan
Journal:  Front Genet       Date:  2015-10-21       Impact factor: 4.599

10.  Mining statistically-solid k-mers for accurate NGS error correction.

Authors:  Liang Zhao; Jin Xie; Lin Bai; Wen Chen; Mingju Wang; Zhonglei Zhang; Yiqi Wang; Zhe Zhao; Jinyan Li
Journal:  BMC Genomics       Date:  2018-12-31       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.