黑龙江畜牧兽医Issue(6)：45-48,4.DOI:10.13881/j.cnki.hljxmsy.2025.11.0062
代谢组学在肉牛重要经济性状遗传解析中的应用进展
Advances in the application of metabolomics in the genetic analysis of important economic traits in beef cattle
摘要
Abstract
Beef is a crucial source of high-quality protein,and its production and quality are directly linked to national food security and the economic well-being of farmers.Important economic traits in beef cattle,such as growth efficiency,meat quality and flavor,reproductive performance,and disease resistance,are complex quantitative traits regulated by the interactions of genetic,nutritional,and environmental factors.Traditional omics approaches,such as genomics and transcriptomics,often fall short in directly linking genetic information to terminal phenotypes.Metabolomics,by systematically analyzing all small-molecule metabolites within an organism,directly reflects the terminal biochemical output of gene-environment interactions,thereby serving as a bridge in the"gene-metabolite-phenotype"logical chain and emerging as a powerful tool for deciphering the mechanisms underlying complex traits.This review systematically summarized the basic concepts of metabolomics,its technological platforms,and its application in analyzing key traits like growth,meat quality,reproduction,and disease resistance in beef cattle.Furthermore,it explored specific pathways for integrating metabolomics with genomics,transcriptomics,and other omics approaches to promote the in-depth application of metabolomics in beef cattle genetic breeding.关键词
代谢组学/肉牛/经济性状/遗传解析/生物标志物/多组学整合Key words
metabolomics/beef cattle/economic traits/genetic analysis/biomarkers/multi-omics integration分类
农业科技引用本文复制引用
张久盘,姜开瑞,王建东..代谢组学在肉牛重要经济性状遗传解析中的应用进展[J].黑龙江畜牧兽医,2026,(6):45-48,4.基金项目
宁夏自然科学基金项目(2025AACO30558) （2025AACO30558）
宁夏肉牛疫病预警与防治科技创新团队项目(2023CXTD0011) （2023CXTD0011）
