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Transcriptome Response of Liver and Muscle in Heat-Stressed Laying Hens

文献类型： 外文期刊

作者： Wang, Yan 1 ; Jia, Xinzheng 1 ; Hsieh, John C. F. 1 ; Monson, Melissa S. 1 ; Zhang, Jibin 1 ; Shu, Dingming 2 ; Nie, Q 1 ;

作者机构： 1.Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA

2.Guangdong Acad Agr Sci, Inst Anim Sci, State Key Lab Livestock & Poultry Breeding, Guangdong Key Lab Anim Breeding & Nutr, Guangzhou 510640, Peoples R China

3.Foshan Univ, Sch Life Sci & Engn, Foshan 528225, Peoples R China

4.City Hope Natl Med Ctr, Toni Stephenson Lymphoma Ctr, Duarte, CA 91010 USA

5.South China Agr Univ, Coll Anim Sci, Guangzhou 510642, Peoples R China

6.Virginia Tech, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USA

关键词： RNA-Seq; pectoralis major muscle; liver; layer chickens; heat stress

期刊名称：GENES （ 影响因子：4.096； 五年影响因子：4.339 ）

ISSN：

年卷期： 2021 年 12 卷 2 期

页码：

收录情况： SCI

摘要： Exposure to high ambient temperature has detrimental effects on poultry welfare and production. Although changes in gene expression due to heat exposure have been well described for broiler chickens, knowledge of the effects of heat on laying hens is still relatively limited. In this study, we profiled the transcriptome for pectoralis major muscle (n = 24) and liver (n = 24), during a 4-week cyclic heating experiment performed on layers in the early phase of egg production. Both heat-control and time-based contrasts were analyzed to determine differentially expressed genes (DEGs). Heat exposure induced different changes in gene expression for the two tissues, and we also observed changes in gene expression over time in the control animals suggesting that metabolic changes occurred during the transition from onset of lay to peak egg production. A total of 73 DEGs in liver were shared between the 3 h heat-control contrast, and the 4-week versus 3 h time contrast in the control group, suggesting a core set of genes that is responsible for maintenance of metabolic homeostasis regardless of the physiologic stressor (heat or commencing egg production). The identified DEGs improve our understanding of the layer's response to stressors and may serve as targets for genetic selection in the future to improve resilience.

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