构建和分析共表达网络以了解受……感染的鸡的生物学反应

Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by .

作者信息

Liu Baohong, Ma Xueting, Cai Jianping

机构信息

State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.

Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, China.

出版信息

Front Vet Sci. 2021 Jul 9;8:688684. doi: 10.3389/fvets.2021.688684. eCollection 2021.

Abstract

Coccidiosis, caused by various species, is a major parasitic disease in chickens. Our understanding of how chickens respond to coccidian infections is highly limited at both the molecular and cellular levels. In this study, coexpression modules were identified by weighted gene coexpression network analysis in chickens infected with . A total of 15 correlation modules were identified using 5,175 genes with 24 chicken samples, 12 with primary and 12 with secondary infection. The analysis of the interactions between these modules showed a high degree of scale independence. Gene Ontology and Kyoto Encyclopedia of Gene and Genomes enrichment analyses revealed that genes in these functional modules were involved in a broad categories of functions, such as immune response, amino acid metabolism, cellular responses to lipids, sterol biosynthetic processes, and RNA transport. Two modules viz yellow and magenta were identified significantly associating with infection status. Preservation analysis showed that most of the modules identified in infections were highly or moderately preserved in chickens infected with either or . These analyses outline a biological responses landscape for chickens infected by , and also indicates that infections with these three species elicit similar biological responses in chickens at the system level. These findings provide new clues and ideas for investigating the relationship between parasites and host, and the control of parasitic diseases.

摘要

由多种物种引起的球虫病是鸡的一种主要寄生虫病。我们对鸡如何应对球虫感染在分子和细胞水平上的了解非常有限。在本研究中,通过加权基因共表达网络分析在感染[未提及具体感染物]的鸡中鉴定共表达模块。使用5175个基因和24个鸡样本(12个原发性感染样本和12个继发性感染样本)共鉴定出15个相关模块。这些模块之间相互作用的分析显示出高度的尺度独立性。基因本体论和京都基因与基因组百科全书富集分析表明,这些功能模块中的基因参与广泛的功能类别,如免疫反应、氨基酸代谢、细胞对脂质的反应、甾醇生物合成过程和RNA转运。两个模块,即黄色和品红色模块,被鉴定为与感染状态显著相关。保守性分析表明,在[未提及具体感染物]感染中鉴定出的大多数模块在感染[未提及具体感染物]或[未提及具体感染物]的鸡中高度或中度保守。这些分析勾勒了感染[未提及具体感染物]的鸡的生物学反应图景,也表明这三种[未提及具体感染物]物种的感染在系统水平上在鸡中引发相似的生物学反应。这些发现为研究寄生虫与宿主之间的关系以及控制寄生虫病提供了新的线索和思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e96e/8299102/45ecf4aa2ae3/fvets-08-688684-g0001.jpg

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