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一个基于全基因组的基因共功能网络可以准确地重建由双组分信号系统控制的调控回路。

A Genome-Scale Co-Functional Network of Genes Can Accurately Reconstruct Regulatory Circuits Controlled by Two-Component Signaling Systems.

机构信息

Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.

Bio and Basic Science R&D Coordination Division, Korea Institute of S&T Evaluation and Planning, Seoul, Korea.

出版信息

Mol Cells. 2019 Feb 28;42(2):166-174. doi: 10.14348/molcells.2018.0403. Epub 2019 Feb 1.

Abstract

Bacterial species in the genus infect virtually all crop plants. Although many genes involved in virulence have been identified through molecular and cellular studies, the elucidation of virulence-associated regulatory circuits is still far from complete. Functional gene networks have proven useful in generating hypotheses for genetic factors of biological processes in various species. Here, we present a genome-scale co-functional network of pv () genes, XooNet (www.inetbio.org/xoonet/), constructed by integrating heterogeneous types of genomics data derived from and other bacterial species. XooNet contains 106,000 functional links, which cover approximately 83% of the coding genome. XooNet is highly predictive for diverse biological processes in and can accurately reconstruct cellular pathways regulated by two-component signaling transduction systems (TCS). XooNet will be a useful research platform for genetic dissection of virulence pathways in .

摘要

属中的细菌种几乎感染所有作物植物。尽管通过分子和细胞研究已经鉴定出许多与毒力相关的基因,但对与毒力相关的调节回路的阐明还远远不够。功能基因网络已被证明在为各种物种的生物过程的遗传因素生成假说方面非常有用。在这里,我们通过整合源自 和其他细菌种的异质基因组学数据,构建了一个基于基因组规模的 pv()基因共功能网络 XooNet (www.inetbio.org/xoonet/)。XooNet 包含 106,000 个功能链接,涵盖了大约 83%的编码基因组。XooNet 对 中的多种生物过程具有高度预测性,并且可以准确重建由双组分信号转导系统 (TCS)调节的细胞途径。XooNet 将成为研究 pv 毒力途径遗传解析的有用平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47a/6399010/9473ffe24baf/molce-42-2-166f1.jpg

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