多组学生物信息学分析在家畜脂肪沉积研究中的应用研究进展  

Application and Research Progress on Multi-Omics Bioinformatics Analysis in the Fat Deposition in Livestock

作　　者：李睿 蔡瑞 庞卫军[1] LI Rui;CAI Rui;PANG Weijun(Laboratory of Animal Fat Deposition&Muscle Development,College of Animal Science and Technology,Northwest A&F University,Shaanxi Yangling 712100,China)

机构地区：[1]西北农林科技大学动物科技学院动物脂肪沉积与肌肉发育实验室,陕西杨凌712100

出　　处：《中国畜牧杂志》2022年第10期83-90,共8页Chinese Journal of Animal Science

基　　金：国家重点研发计划课题(No.2021YFF1000602);国家自然科学基金项目(No.31872979);财政部和农业农村部:国家现代农业产业技术体系资助(CARS-35);陕西省重点研发计划项目(No.2022ZDLNY01-04)。

摘　　要：家畜脂肪沉积机制是动物科学领域的研究热点,对脂肪沉积机制进行研究可以减少家畜生长过程中不必要的脂肪沉积,从而改善家畜肉品质。然而,家畜脂肪沉积是一个复杂的生物学过程,近年来生物信息学的发展为研究这类复杂的生物学过程提供了便捷有效的分析方法。本文从基因组、转录组、蛋白质组及多组学联合分析4个角度对生物信息学分析方法在家畜脂肪沉积相关研究中的应用进行综述,分析这些方法取得的效果和优缺点,同时介绍一些可能应用于家畜脂肪沉积研究的新兴生物信息学分析方法,最后对未来家畜脂肪沉积研究领域的研究方法做出展望,旨在对家畜脂肪沉积相关研究提供参考和思路。One of the research hotspots in the field of animal science is to study the mechanism of fat deposition in livestock,so as to reduce unnecessary fat deposition in the growth process of livestock and improve the quality of livestock meat.Although fat deposition in livestock is a complex biological process, the development of bioinformatics in recent years provides a practical and effective analytical method for studying this kind of complex biological process. This article reviews the application of bioinformatics analysis methods in recent years related to research on fat deposition in livestock from the four perspectives of genome, transcriptome, proteome and multi-omics joint analysis, analyzes the advantages and disadvantages of these methods, introduces some of the latest methods of bioinformatic analysis that may be applied to the research of livestock fat deposition, and outlines future research methods on livestock fat deposits in the end. The purpose of this article is to provide references and insights for related research in the field of livestock fat deposition.

关 键 词：多组学 生信分析 家畜脂肪沉积 基因挖掘 细胞间相互作用 

分 类 号：Q811.4[生物学—生物工程]