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| 加权基因共表达网络分析在畜禽研究中的应用 |
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龚高1,严晓春1,王凤红1,张磊1,李文泽1,闫晓敏1,刘虹夫1,吕琦1,李金泉1,2,苏蕊1,2 *
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| (1.内蒙古农业大学 动物科学学院/农业农村部肉羊遗传育种重点实验室/内蒙古自治区山羊遗传育种工程技术研究中心, 呼和浩特 010018;2.内蒙古金莱牧业科技有限责任公司, 呼和浩特 010018) |
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| 摘要: |
| 为了解加权基因共表达网络分析(Weighted gene co-expression network analysis，WGCNA)方法在畜禽中的应用研究，本文对近年来国内外通过WGCNA方法对牛、羊、猪、禽等畜禽进行研究的相关文献进行了整理与分析，总结了WGCNA方法应用的一般分析流程、策略及畜禽WGCNA的研究现状。结果表明:WGCNA是一种系统生物学的方法，可分析转录组、蛋白组、代谢组、DNA甲基化和单细胞转录组等高通量数据，解析分子间调控的表达模式，确定关键调控因子；在畜禽的研究中，WGCNA方法已经广泛应用在生长性状、繁殖性状、抗病性状和品质性状等复杂性状的优势功能因子的挖掘。综上，WGCNA方法对分析组学数据具有较强的优势，可为畜禽重要经济性状的挖掘，阐明性状生物学机制提供助力。 |
| 关键词: WGCNA 网络分析 高通量测序 畜禽 |
| DOI：10.11841/j.issn.1007-4333.2022.07.15 |
| 投稿时间：2021-05-25 |
| 基金项目:内蒙古自治区科技重大专项(2021ZD0012)；西部青年学者项目；中央引导地方科技发展资金项目(2020ZY0007)；财政部和农业农村部:国家绒毛用羊产业技术体系(CARS-39)；国家自然科学基金项目(31860639) |
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| Application of weighted gene co-expression network analysis in domestic animal research |
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GONG Gao1,YAN Xiaochun1,WANG Fenghong1,ZHANG Lei1,LI Wenze1,YAN Xiaomin1,LIU Hongfu1,LV Qi1,LI Jinquan1,2,SU Rui1,2*
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| (1.College of Animal Science/Key Laboratory of Mutton Sheep Genetics and Breeding of Ministry of Agriculture and Rural Affairs/Engineering Research Center for Goat Genetics and Breeding of Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot 010018, China;2.Inner Mongolia Jinlai Livestock Technology Co., Ltd., Hohhot 010018, China) |
| Abstract: |
| To understand the application of weighted gene co-expression network analysis(WGCNA)in domestic animal research, the relevant literature about the application of WGCNA methods in cattle, sheep/goat, pigs, poultry and other domestic animals in recent years has been collated and analyzed. The general analysis flow and strategy of WGCNA method application and the research status of domestic animals WGCNA are summarized. The results show that: WGCNA is a systemic biology method, which can analyze the high-throughput data such as transcriptome, proteome, metabolic group, DNA methylation, single-cell transcriptome, explore the expression pattern of intermolecular regulation, and identify key regulatory factors. In the study of domestic animals, WGCNA method has been widely used to mine the dominant functional factors of complex traits, such as growth traits, reproductive traits, disease resistance traits, quality traits and so on. In summary, WGCNA method has a strong advantage in analyzing combinatorial data, and can provide help for mining important economic traits of domestic animals and elucidating the biological mechanism of traits. |
| Key words: WGCNA network analysis high throughput sequencing domestic animals |
