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基于共表达网络功能模块分析对杨树细胞壁相关基因的系统鉴定。

Systematic identification of cell-wall related genes in Populus based on analysis of functional modules in co-expression network.

机构信息

Department of Genetics, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.

Department of Horticulture, Suzhou Polytechnic Institute of Agriculture, Suzhou, Jiangsu, People's Republic of China.

出版信息

PLoS One. 2014 Apr 15;9(4):e95176. doi: 10.1371/journal.pone.0095176. eCollection 2014.

Abstract

The identification of novel genes relevant to plant cell wall (PCW) biosynthesis in Populus is a highly important and challenging problem. We surveyed candidate Populus cell wall genes using a non-targeted approach. First, a genome-wide Populus gene co-expression network (PGCN) was constructed using microarray data available in the public domain. Module detection was then performed, followed by gene ontology (GO) enrichment analysis, to assign the functional category to these modules. Based on GO annotation, the modules involved in PCW biosynthesis were then selected and analyzed in detail to annotate the candidate PCW genes in these modules, including gene annotation, expression of genes in different tissues, and so on. We examined the overrepresented cis-regulatory elements (CREs) in the gene promoters to understand the possible transcriptionally co-regulated relationships among the genes within the functional modules of cell wall biosynthesis. PGCN contains 6,854 nodes (genes) with 324,238 edges. The topological properties of the network indicate scale-free and modular behavior. A total of 435 modules were identified; among which, 67 modules were identified by overrepresented GO terms. Six modules involved in cell wall biosynthesis were identified. Module 9 was mainly involved in cellular polysaccharide metabolic process in the primary cell wall, whereas Module 4 comprises genes involved in secondary cell wall biogenesis. In addition, we predicted and analyzed 10 putative CREs in the promoters of the genes in Module 4 and Module 9. The non-targeted approach of gene network analysis and the data presented here can help further identify and characterize cell wall related genes in Populus.

摘要

鉴定与植物细胞壁 (PCW) 生物合成相关的新基因是一个非常重要和具有挑战性的问题。我们使用非靶向方法调查了候选杨树细胞壁基因。首先,使用公共领域中可用的微阵列数据构建了全基因组杨树基因共表达网络 (PGCN)。然后进行模块检测,接着进行基因本体 (GO) 富集分析,将这些模块的功能类别分配给这些模块。根据 GO 注释,选择涉及 PCW 生物合成的模块并进行详细分析,以注释这些模块中的候选 PCW 基因,包括基因注释、不同组织中基因的表达等。我们检查了基因启动子中过度表达的顺式调控元件 (CREs),以了解细胞壁生物合成功能模块内基因之间可能的转录共调控关系。PGCN 包含 6854 个节点(基因)和 324238 个边。网络的拓扑性质表明具有无标度和模块化行为。共鉴定出 435 个模块;其中,67 个模块是通过代表性 GO 术语鉴定的。鉴定出 6 个涉及细胞壁生物合成的模块。模块 9 主要涉及初生细胞壁的细胞多糖代谢过程,而模块 4 包含参与次生细胞壁生物发生的基因。此外,我们预测并分析了模块 4 和模块 9 中基因启动子中的 10 个假定 CRE。基因网络分析的非靶向方法和这里提供的数据可以帮助进一步鉴定和表征杨树中的细胞壁相关基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed4a/3988181/0429f1796ffa/pone.0095176.g001.jpg

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