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利用基因组到 KEGG 直系同源物(G2KO)管道工具在多个微生物中进行高效的系统范围代谢途径比较。

Efficient System Wide Metabolic Pathway Comparisons in Multiple Microbes Using Genome to KEGG Orthology (G2KO) Pipeline Tool.

机构信息

School of Basic Sciences, Indian Institute of Technology Mandi, Kamand, Himachal Pradesh, 175005, India.

School of Engineering, Indian Institute of Technology Mandi, Kamand, Himachal Pradesh, 175005, India.

出版信息

Interdiscip Sci. 2020 Sep;12(3):311-322. doi: 10.1007/s12539-020-00375-7. Epub 2020 Jul 6.

Abstract

Comparison of system-wide metabolic pathways among microbes provides valuable insights of organisms' metabolic capabilities that can further assist in rationally screening organisms in silico for various applications. In this work, we present a much needed, efficient and user-friendly Genome to KEGG Orthology (G2KO) pipeline tool that facilitates efficient comparison of system wide metabolic networks of multiple organisms simultaneously. The optimized strategy primarily involves automatic retrieval of the KEGG Orthology (KO) identifiers of user defined organisms from the KEGG database followed by overlaying and visualization of the metabolic genes using the KEGG Mapper reconstruct pathway tool. We demonstrate the applicability of G2KO via two case studies in which we processed 24,314 genes across 15 organisms, mapped on to 530 reference pathways in KEGG, while focusing on pathways of interest. First, an in-silico designing of synthetic microbial consortia towards bioprocessing of cellulose to valuable products by comparing the cellulose degradation and fermentative pathways of microbes was undertaken. Second, we comprehensively compared the amino acid biosynthetic pathways of multiple microbes and demonstrated the potential of G2KO as an efficient tool for metabolic studies. We envisage the tool will find immensely useful to the metabolic engineers as well as systems biologists. The tool's web-server, along with tutorial is publicly available at https://faculty.iitmandi.ac.in/~shyam/tools/g2ko/g2ko.cgi . Also, standalone tool can be downloaded freely from https://sourceforge.net/projects/g2ko/ , and from the supplementary.

摘要

比较微生物系统代谢途径可以提供生物体代谢能力的有价值的见解,这可以进一步帮助在计算机中合理筛选各种应用的生物体。在这项工作中,我们提出了一个非常需要的、高效的和用户友好的基因组到 KEGG 直系同源物(G2KO)管道工具,该工具可以有效地同时比较多个生物体的系统范围代谢网络。优化的策略主要涉及从 KEGG 数据库中自动检索用户定义生物体的 KEGG 直系同源物(KO)标识符,然后使用 KEGG Mapper 重建途径工具覆盖和可视化代谢基因。我们通过两个案例研究展示了 G2KO 的适用性,我们在其中处理了 15 个生物体的 24,314 个基因,映射到 KEGG 中的 530 个参考途径,同时关注感兴趣的途径。首先,通过比较微生物的纤维素降解和发酵途径,对纤维素生物加工的合成微生物联合体进行了计算机设计。其次,我们全面比较了多种微生物的氨基酸生物合成途径,并展示了 G2KO 作为一种有效的代谢研究工具的潜力。我们预计该工具将对代谢工程师和系统生物学家非常有用。该工具的网络服务器以及教程可在 https://faculty.iitmandi.ac.in/~shyam/tools/g2ko/g2ko.cgi 上公开获取。此外,可从 https://sourceforge.net/projects/g2ko/ 以及补充材料中免费下载独立工具。

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