Literature DB >> 22100599

Genome-wide association studies of female reproduction in tropically adapted beef cattle.

R J Hawken1, Y D Zhang, M R S Fortes, E Collis, W C Barris, N J Corbet, P J Williams, G Fordyce, R G Holroyd, J R W Walkley, W Barendse, D J Johnston, K C Prayaga, B Tier, A Reverter, S A Lehnert.   

Abstract

The genetics of reproduction is poorly understood because the heritabilities of traits currently recorded are low. To elucidate the genetics underlying reproduction in beef cattle, we performed a genome-wide association study using the bovine SNP50 chip in 2 tropically adapted beef cattle breeds, Brahman and Tropical Composite. Here we present the results for 3 female reproduction traits: 1) age at puberty, defined as age in days at first observed corpus luteum (CL) after frequent ovarian ultrasound scans (AGECL); 2) the postpartum anestrous interval, measured as the number of days from calving to first ovulation postpartum (first rebreeding interval, PPAI); and 3) the occurrence of the first postpartum ovulation before weaning in the first rebreeding period (PW), defined from PPAI. In addition, correlated traits such as BW, height, serum IGF1 concentration, condition score, and fatness were also examined. In the Brahman and Tropical Composite cattle, 169 [false positive rate (FPR) = 0.262] and 84 (FPR = 0.581) SNP, respectively, were significant (P < 0.001) for AGECL. In Brahman, 41% of these significant markers mapped to a single chromosomal region on BTA14. In Tropical Composites, 16% of these significant markers were located on BTA5. For PPAI, 66 (FPR = 0.67) and 113 (FPR = 0.432) SNP were significant (P < 0.001) in Brahman and Tropical Composite, respectively, whereas for PW, 68 (FPR = 0.64) and 113 (FPR = 0.432) SNP were significant (P < 0.01). In Tropical Composites, the largest concentration of PPAI markers were located on BTA5 [19% (PPAI) and 23% (PW)], and BTA16 [17% (PPAI) and 18% (PW)]. In Brahman cattle, the largest concentration of markers for postpartum anestrus was located on BTA3 (14% for PPAI and PW) and BTA14 (17% PPAI). Very few of the significant markers for female reproduction traits for the Brahman and Tropical Composite breeds were located in the same chromosomal regions. However, fatness and BW traits as well as serum IGF1 concentration were found to be associated with similar genome regions within and between breeds. Clusters of SNP associated with multiple traits were located on BTA14 in Brahman and BTA5 in Tropical Composites.

Entities:  

Mesh:

Year:  2011        PMID: 22100599     DOI: 10.2527/jas.2011-4410

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  44 in total

1.  RAPID COMMUNICATION: Multi-breed validation study unraveled genomic regions associated with puberty traits segregating across tropically adapted breeds1.

Authors:  Thaise P Melo; Marina R S Fortes; Gerardo A Fernandes Junior; Lucia G Albuquerque; Roberto Carvalheiro
Journal:  J Anim Sci       Date:  2019-07-02       Impact factor: 3.159

2.  Multitrait meta-analysis identified genomic regions associated with sexual precocity in tropical beef cattle.

Authors:  Thaise P Melo; Marina R S Fortes; Tiago Bresolin; Lucio F M Mota; Lucia G Albuquerque; Roberto Carvalheiro
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

3.  Genomic study and Medical Subject Headings enrichment analysis of early pregnancy rate and antral follicle numbers in Nelore heifers.

Authors:  G A Oliveira Júnior; B C Perez; J B Cole; M H A Santana; J Silveira; G Mazzoni; R V Ventura; M L Santana Júnior; H N Kadarmideen; D J Garrick; J B S Ferraz
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

4.  Genome-wide association study for stayability measures in Nellore-Angus crossbred cows.

Authors:  Bailey N Engle; Andy D Herring; Jason E Sawyer; David G Riley; James O Sanders; Clare A Gill
Journal:  J Anim Sci       Date:  2018-04-14       Impact factor: 3.159

5.  Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers.

Authors:  Christie L Warburton; Bailey N Engle; Elizabeth M Ross; Roy Costilla; Stephen S Moore; Nicholas J Corbet; Jack M Allen; Alan R Laing; Geoffry Fordyce; Russell E Lyons; Michael R McGowan; Brian M Burns; Ben J Hayes
Journal:  Genet Sel Evol       Date:  2020-05-27       Impact factor: 4.297

6.  Estimating the effect of SNP genotype on quantitative traits from pooled DNA samples.

Authors:  John M Henshall; Rachel J Hawken; Sonja Dominik; William Barendse
Journal:  Genet Sel Evol       Date:  2012-04-17       Impact factor: 4.297

7.  Meta-Analysis of Heifer Traits Identified Reproductive Pathways in Bos indicus Cattle.

Authors:  Muhammad S Tahir; Laercio R Porto-Neto; Cedric Gondro; Olasege B Shittu; Kimberley Wockner; Andre W L Tan; Hugo R Smith; Gabriela C Gouveia; Jagish Kour; Marina R S Fortes
Journal:  Genes (Basel)       Date:  2021-05-18       Impact factor: 4.096

8.  A high plane of nutrition during early life alters the hypothalamic transcriptome of heifer calves.

Authors:  José M Sánchez; Kate Keogh; Alan K Kelly; Colin J Byrne; Pat Lonergan; David A Kenny
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

9.  Genotyping-by-sequencing (GBS): a novel, efficient and cost-effective genotyping method for cattle using next-generation sequencing.

Authors:  Marcos De Donato; Sunday O Peters; Sharon E Mitchell; Tanveer Hussain; Ikhide G Imumorin
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

10.  Genome-wide association study for birth weight in Nellore cattle points to previously described orthologous genes affecting human and bovine height.

Authors:  Yuri T Utsunomiya; Adriana S do Carmo; Roberto Carvalheiro; Haroldo H R Neves; Márcia C Matos; Ludmilla B Zavarez; Ana M Pérez O'Brien; Johann Sölkner; John C McEwan; John B Cole; Curtis P Van Tassell; Flávio S Schenkel; Marcos V G B da Silva; Laercio R Porto Neto; Tad S Sonstegard; José F Garcia
Journal:  BMC Genet       Date:  2013-06-13       Impact factor: 2.797

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.