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Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle.
Luo, Hanpeng; Hu, Lirong; Brito, Luiz F; Dou, Jinhuan; Sammad, Abdul; Chang, Yao; Ma, Longgang; Guo, Gang; Liu, Lin; Zhai, Liwei; Xu, Qing; Wang, Yachun.
Afiliação
  • Luo H; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, No.2, Yuanmingyuanxi Road, Haidian District, Beijing, 100193, China.
  • Hu L; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, No.2, Yuanmingyuanxi Road, Haidian District, Beijing, 100193, China.
  • Brito LF; Department of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
  • Dou J; College of Animal Science and Technology, Beijing University of Agriculture, Beijing, 100096, China.
  • Sammad A; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, No.2, Yuanmingyuanxi Road, Haidian District, Beijing, 100193, China.
  • Chang Y; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, No.2, Yuanmingyuanxi Road, Haidian District, Beijing, 100193, China.
  • Ma L; College of Animal Science, Xinjiang Agricultural University, Urumqi, 830052, China.
  • Guo G; Beijing Sunlon Livestock Development Company Limited, Beijing, 100029, China.
  • Liu L; Beijing Dairy Cattle Center, Beijing, 100192, China.
  • Zhai L; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, No.2, Yuanmingyuanxi Road, Haidian District, Beijing, 100193, China.
  • Xu Q; College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, 100044, China.
  • Wang Y; Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, No.2, Yuanmingyuanxi Road, Haidian District, Beijing, 100193, China. wangyachun@cau
J Anim Sci Biotechnol ; 13(1): 108, 2022 Aug 20.
Article em En | MEDLINE | ID: mdl-35986427
ABSTRACT

BACKGROUND:

The study of molecular processes regulating heat stress response in dairy cattle is paramount for developing mitigation strategies to improve heat tolerance and animal welfare. Therefore, we aimed to identify quantitative trait loci (QTL) regions associated with three physiological indicators of heat stress response in Holstein cattle, including rectal temperature (RT), respiration rate score (RS), and drooling score (DS). We estimated genetic parameters for all three traits. Subsequently, a weighted single-step genome-wide association study (WssGWAS) was performed based on 3200 genotypes, 151,486 phenotypic records, and 38,101 animals in the pedigree file. The candidate genes located within the identified QTL regions were further investigated through RNA sequencing (RNA-seq) analyses of blood samples for four cows collected in April (non-heat stress group) and four cows collected in July (heat stress group).

RESULTS:

The heritability estimates for RT, RS, and DS were 0.06, 0.04, and 0.03, respectively. Fourteen, 19, and 20 genomic regions explained 2.94%, 3.74%, and 4.01% of the total additive genetic variance of RT, RS, and DS, respectively. Most of these genomic regions are located in the Bos taurus autosome (BTA) BTA3, BTA6, BTA8, BTA12, BTA14, BTA21, and BTA24. No genomic regions overlapped between the three indicators of heat stress, indicating the polygenic nature of heat tolerance and the complementary mechanisms involved in heat stress response. For the RNA-seq analyses, 2627 genes were significantly upregulated and 369 downregulated in the heat stress group in comparison to the control group. When integrating the WssGWAS, RNA-seq results, and existing literature, the key candidate genes associated with physiological indicators of heat stress in Holstein cattle are PMAIP1, SBK1, TMEM33, GATB, CHORDC1, RTN4IP1, and BTBD7.

CONCLUSIONS:

Physiological indicators of heat stress are heritable and can be improved through direct selection. Fifty-three QTL regions associated with heat stress indicators confirm the polygenic nature and complex genetic determinism of heat tolerance in dairy cattle. The identified candidate genes will contribute for optimizing genomic evaluation models by assigning higher weights to genetic markers located in these regions as well as to the design of SNP panels containing polymorphisms located within these candidate genes.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Anim Sci Biotechnol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Anim Sci Biotechnol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China