牲畜
鉴定(生物学)
计算生物学
生物技术
生物
构造(python库)
新兴技术
基因组学
动物生产
数据科学
DNA测序
计算机科学
家畜
钥匙(锁)
动物健康
生化工程
系统生物学
风险分析(工程)
高分辨率
范式转换
人类疾病
作者
Jingmiao Cao,Xinyu Zhou,Jie Liu,Dewu Liu,Guangbin Liu
标识
DOI:10.1021/acs.jafc.5c13040
摘要
Single-cell multiomics technologies enable the detailed resolution of cellular heterogeneity by integrating multidimensional information─including genomics, epigenomics, transcriptomics, and proteomics─at the single-cell level to construct high-resolution molecular maps. Compared with conventional bulk sequencing methods, these technologies overcome the limitations of signal averaging, allowing for the identification of rare yet functionally critical cell subpopulations that would otherwise remain obscured. In livestock and poultry research, single-cell multiomics offers a novel approach to dissect the biological basis of key economic traits such as reproduction, growth, meat production, and disease resistance, demonstrating immense potential for elucidating the molecular mechanisms underlying desirable phenotypes. This review systematically outlines the developmental trajectory and core principles of single-cell multiomics sequencing technologies. We summarize their major applications in fundamental livestock and poultry research and discuss current challenges and future opportunities in the field. Our aim is to provide a comprehensive reference to guide future research in animal science.
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