Literature DB >> 33731012

Genotype-by-environment interaction in Holstein heifer fertility traits using single-step genomic reaction norm models.

Rui Shi1,2,3, Luiz Fernando Brito4, Aoxing Liu1,5, Hanpeng Luo1, Ziwei Chen1, Lin Liu6, Gang Guo7, Herman Mulder8, Bart Ducro2, Aart van der Linden3,9, Yachun Wang10.   

Abstract

BACKGROUND: The effect of heat stress on livestock production is a worldwide issue. Animal performance is influenced by exposure to harsh environmental conditions potentially causing genotype-by-environment interactions (G × E), especially in highproducing animals. In this context, the main objectives of this study were to (1) detect the time periods in which heifer fertility traits are more sensitive to the exposure to high environmental temperature and/or humidity, (2) investigate G × E due to heat stress in heifer fertility traits, and, (3) identify genomic regions associated with heifer fertility and heat tolerance in Holstein cattle.
RESULTS: Phenotypic records for three heifer fertility traits (i.e., age at first calving, interval from first to last service, and conception rate at the first service) were collected, from 2005 to 2018, for 56,998 Holstein heifers raised in 15 herds in the Beijing area (China). By integrating environmental data, including hourly air temperature and relative humidity, the critical periods in which the heifers are more sensitive to heat stress were located in more than 30 days before the first service for age at first calving and interval from first to last service, or 10 days before and less than 60 days after the first service for conception rate. Using reaction norm models, significant G × E was detected for all three traits regarding both environmental gradients, proportion of days exceeding heat threshold, and minimum temperature-humidity index. Through single-step genome-wide association studies, PLAG1, AMHR2, SP1, KRT8, KRT18, MLH1, and EOMES were suggested as candidate genes for heifer fertility. The genes HCRTR1, AGRP, PC, and GUCY1B1 are strong candidates for association with heat tolerance.
CONCLUSIONS: The critical periods in which the reproductive performance of heifers is more sensitive to heat stress are trait-dependent. Thus, detailed analysis should be conducted to determine this particular period for other fertility traits. The considerable magnitude of G × E and sire re-ranking indicates the necessity to consider G × E in dairy cattle breeding schemes. This will enable selection of more heat-tolerant animals with high reproductive efficiency under harsh climatic conditions. Lastly, the candidate genes identified to be linked with response to heat stress provide a better understanding of the underlying biological mechanisms of heat tolerance in dairy cattle.

Entities:  

Keywords:  Genotype-by-environment interaction; Heat stress; Heifer; Reaction norm; Single-step GWAS

Mesh:

Year:  2021        PMID: 33731012      PMCID: PMC7968333          DOI: 10.1186/s12864-021-07496-3

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  76 in total

1.  Bayesian analysis of the linear reaction norm model with unknown covariates.

Authors:  G Su; P Madsen; M S Lund; D Sorensen; I R Korsgaard; J Jensen
Journal:  J Anim Sci       Date:  2006-07       Impact factor: 3.159

2.  Effects of controlled heat stress on ovarian function of dairy cattle. 2. Heifers.

Authors:  S J Wilson; C J Kirby; A T Koenigsfeld; D H Keisler; M C Lucy
Journal:  J Dairy Sci       Date:  1998-08       Impact factor: 4.034

3.  Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein.

Authors:  Ahmed Ismael; Erling Strandberg; Britt Berglund; Morten Kargo; Anders Fogh; Peter Løvendahl
Journal:  J Dairy Sci       Date:  2016-09-28       Impact factor: 4.034

4.  Involvement of the orexin system in adrenal sympathetic regulation.

Authors:  Takayuki Nemoto; Fumiyo Toyoshima-Aoyama; Yuto Ueda; Takayoshi Ohba; Toshihiko Yanagita; Hiroyuki Watanabe; Tetsuro Shirasaka; Isao Tsuneyoshi; Yasushi Ishida; Kazuyoshi Hirota; Akira Sawaguchi; Manabu Murakami
Journal:  Pharmacology       Date:  2013-04-27       Impact factor: 2.547

5.  Cytokeratin 18 is a specific marker of bovine intestinal M cell.

Authors:  Tetsuya Hondo; Takashi Kanaya; Ikuro Takakura; Hitoshi Watanabe; Yu Takahashi; Yuya Nagasawa; Shunsuke Terada; Shyuichi Ohwada; Kouichi Watanabe; Haruki Kitazawa; Michael T Rose; Takahiro Yamaguchi; Hisashi Aso
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2010-12-30       Impact factor: 4.052

6.  Genetic evaluation of fertility traits of dairy cattle using a multiple-trait animal model.

Authors:  Z Liu; J Jaitner; F Reinhardt; E Pasman; S Rensing; R Reents
Journal:  J Dairy Sci       Date:  2008-11       Impact factor: 4.034

7.  Regulation of Anti-Müllerian Hormone and Its Receptor Expression around Follicle Deviation in Cattle.

Authors:  G F Ilha; M T Rovani; B G Gasperin; R Ferreira; M P de Macedo; O A Neto; R Duggavathi; V Bordignon; P B D Gonçalves
Journal:  Reprod Domest Anim       Date:  2016-01-27       Impact factor: 2.005

Review 8.  Genetics and genomics of reproductive performance in dairy and beef cattle.

Authors:  D P Berry; E Wall; J E Pryce
Journal:  Animal       Date:  2014-04-04       Impact factor: 3.240

9.  The efficiency of vaginal temperature measurement for detection of estrus in Japanese Black cows.

Authors:  Miki Sakatani; Masashi Takahashi; Naoki Takenouchi
Journal:  J Reprod Dev       Date:  2016-02-08       Impact factor: 2.214

10.  Genomic and environmental determinants and their interplay underlying phenotypic plasticity.

Authors:  Xin Li; Tingting Guo; Qi Mu; Xianran Li; Jianming Yu
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-11       Impact factor: 11.205

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  3 in total

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Journal:  Front Genet       Date:  2022-07-07       Impact factor: 4.772

2.  Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle.

Authors:  Hanpeng Luo; Lirong Hu; Luiz F Brito; Jinhuan Dou; Abdul Sammad; Yao Chang; Longgang Ma; Gang Guo; Lin Liu; Liwei Zhai; Qing Xu; Yachun Wang
Journal:  J Anim Sci Biotechnol       Date:  2022-08-20

3.  Heteroscedastic Reaction Norm Models Improve the Assessment of Genotype by Environment Interaction for Growth, Reproductive, and Visual Score Traits in Nellore Cattle.

Authors:  Ivan Carvalho Filho; Delvan A Silva; Caio S Teixeira; Thales L Silva; Lucio F M Mota; Lucia G Albuquerque; Roberto Carvalheiro
Journal:  Animals (Basel)       Date:  2022-09-29       Impact factor: 3.231

  3 in total

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