Analysis of genetic relatedness among Indian cattle (Bos indicus) using genotyping-by-sequencing markers

被引:30
作者
Malik, A. A. [1 ]
Sharma, R. [2 ]
Ahlawat, S. [2 ]
Deb, R. [3 ]
Negi, M. S. [4 ]
Tripathi, S. B. [1 ,4 ]
机构
[1] TERI Sch Adv Studies, 10 Inst Area, New Delhi, India
[2] ICAR Natl Bur Anim Genet Resources, GT Rd Bye Pass, Karnal 132001, Haryana, India
[3] ICAR Cent Inst Res Cattle, Grass Farm Rd, Meerut 250001, Uttar Pradesh, India
[4] Energy & Resources Inst, IHC Complex,Lodhi Rd, New Delhi, India
关键词
cattle breeds; genetic diversity; next generation sequencing; single nucleotide polymorphisms; DIVERSITY; MICROSATELLITE; SELECTION;
D O I
10.1111/age.12650
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Genetic relatedness of 24 animals belonging to seven Indian cattle breeds was studied using high throughput genotyping-by-sequencing (GBS) markers. GBS produced 93.6million reads with an average of about 3.9million reads per animal. A total of 107488 SNPs were identified in these individuals. When only one SNP per read was considered, a total of 60261 SNPs representing independent reads were identified with an average SNP-to-SNP distance of 45kb across the bovine reference genome. About 24% of the GBS-SNP markers were more than 100kb apart. Of these, 58322 SNPs mapped to autosomes, 1645 to the X chromosome and 28 to the Y chromosome. The average SNP-to-SNP distance on the X chromosome was 91.3kb, whereas on the Y chromosome it was 1546.4kb. The minor allele frequency within the Indian cattle varied from 0.103 (Ongole) to 0.177 (Siri), whereas Holstein cattle had the lowest value of 0.089. This is the first application of GBS in cattle of South Asia. The baseline information generated in this study might prompt implementation of GBS in breeding of cattle belonging to this region.
引用
收藏
页码:242 / 245
页数:4
相关论文
共 18 条
[1]   The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update [J].
Afgan, Enis ;
Baker, Dannon ;
van den Beek, Marius ;
Blankenberg, Daniel ;
Bouvier, Dave ;
Cech, Martin ;
Chilton, John ;
Clements, Dave ;
Coraor, Nate ;
Eberhard, Carl ;
Gruening, Bjoern ;
Guerler, Aysam ;
Hillman-Jackson, Jennifer ;
Von Kuster, Greg ;
Rasche, Eric ;
Soranzo, Nicola ;
Turaga, Nitesh ;
Taylor, James ;
Nekrutenko, Anton ;
Goecks, Jeremy .
NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) :W3-W10
[2]   Nucleotide polymorphisms in the bovine lymphotoxin A gene and their distribution among Bos indicus zebu cattle breeds [J].
Behl, Jyotsna Dhingra ;
Mishra, Priyanka ;
Verma, N. K. ;
Niranjan, S. K. ;
Dangi, P. S. ;
Sharma, Rekha ;
Behl, Rahul .
GENE, 2016, 579 (01) :82-94
[3]  
Donato D.M., 2013, PLOS ONE, V8
[4]   A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species [J].
Elshire, Robert J. ;
Glaubitz, Jeffrey C. ;
Sun, Qi ;
Poland, Jesse A. ;
Kawamoto, Ken ;
Buckler, Edward S. ;
Mitchell, Sharon E. .
PLOS ONE, 2011, 6 (05)
[5]   Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection [J].
Garcia-Ruiz, Adriana ;
Cole, John B. ;
VanRaden, Paul M. ;
Wiggans, George R. ;
Ruiz-Lopez, Felipe J. ;
Van Tassell, Curtis P. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (28) :E3995-E4004
[6]   Genomic Selection Improves Heat Tolerance in Dairy Cattle [J].
Garner, J. B. ;
Douglas, M. L. ;
Williams, S. R. O. ;
Wales, W. J. ;
Marett, L. C. ;
Nguyen, T. T. T. ;
Reich, C. M. ;
Hayes, B. J. .
SCIENTIFIC REPORTS, 2016, 6
[7]   TASSEL-GBS: A High Capacity Genotyping by Sequencing Analysis Pipeline [J].
Glaubitz, Jeffrey C. ;
Casstevens, Terry M. ;
Lu, Fei ;
Harriman, James ;
Elshire, Robert J. ;
Sun, Qi ;
Buckler, Edward S. .
PLOS ONE, 2014, 9 (02)
[8]   Potential of genotyping-by-sequencing for genomic selection in livestock populations [J].
Gorjanc, Gregor ;
Cleveland, Matthew A. ;
Houston, Ross D. ;
Hickey, John M. .
GENETICS SELECTION EVOLUTION, 2015, 47
[9]   High density genome wide genotyping-by-sequencing and association identifies common and low frequency SNPs, and novel candidate genes influencing cow milk traits [J].
Ibeagha-Awemu, Eveline M. ;
Peters, Sunday O. ;
Akwanji, Kingsley A. ;
Imumorin, Ikhide G. ;
Zhao, Xin .
SCIENTIFIC REPORTS, 2016, 6
[10]  
Joshi BK, 2012, INDIAN J ANIM SCI, V82, P1259