Tian Jing, Zhu Xiaoning, Wu Hanyu, Wang Yuzhe, Hu Xiaoxiang
State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.
National Research Facility for Phenotypic and Genotypic Analysis of Model Animals (Beijing), China Agricultural University, Beijing, 100193, China.
J Anim Sci Biotechnol. 2023 May 4;14(1):69. doi: 10.1186/s40104-023-00868-7.
Chickens provide globally important livestock products. Understanding the genetic and molecular mechanisms underpinning chicken economic traits is crucial for improving their selective breeding. Influenced by a combination of genetic and environmental factors, metabolites are the ultimate expression of physiological processes and can provide key insights into livestock economic traits. However, the serum metabolite profile and genetic architecture of the metabolome in chickens have not been well studied.
Here, comprehensive metabolome detection was performed using non-targeted LC-MS/MS on serum from a chicken advanced intercross line (AIL). In total, 7,191 metabolites were used to construct a chicken serum metabolomics dataset and to comprehensively characterize the serum metabolism of the chicken AIL population. Regulatory loci affecting metabolites were identified in a metabolome genome-wide association study (mGWAS). There were 10,061 significant SNPs associated with 253 metabolites that were widely distributed across the entire chicken genome. Many functional genes affect metabolite synthesis, metabolism, and regulation. We highlight the key roles of TDH and AASS in amino acids, and ABCB1 and CD36 in lipids.
We constructed a chicken serum metabolite dataset containing 7,191 metabolites to provide a reference for future chicken metabolome characterization work. Meanwhile, we used mGWAS to analyze the genetic basis of chicken metabolic traits and metabolites and to improve chicken breeding.
鸡提供了全球重要的畜牧产品。了解支撑鸡经济性状的遗传和分子机制对于改进其选择性育种至关重要。受遗传和环境因素共同影响,代谢物是生理过程的最终表现形式,可为畜牧经济性状提供关键见解。然而,鸡的血清代谢物谱和代谢组的遗传结构尚未得到充分研究。
在此,使用非靶向液相色谱-串联质谱法对鸡高级杂交系(AIL)的血清进行了全面的代谢组检测。总共使用7191种代谢物构建了鸡血清代谢组学数据集,并全面表征了鸡AIL群体的血清代谢情况。在代谢组全基因组关联研究(mGWAS)中鉴定了影响代谢物的调控位点。有10061个与253种代谢物相关的显著单核苷酸多态性(SNP),广泛分布于整个鸡基因组中。许多功能基因影响代谢物的合成、代谢和调控。我们强调了TDH和AASS在氨基酸方面以及ABCB1和CD36在脂质方面的关键作用。
我们构建了一个包含7191种代谢物的鸡血清代谢物数据集,为未来鸡代谢组表征工作提供参考。同时,我们使用mGWAS分析鸡代谢性状和代谢物的遗传基础,以改进鸡的育种。