生物学杂志 ›› 2024, Vol. 41 ›› Issue (1): 107-.doi: 10.3969/j.issn.2095-1736.2024.01.107

• 综述与专论 • 上一篇    下一篇

基于网络和组学方法的产电微生物胞外电子传递研究进展

丁德武1, 张 鹍1, 何小青2, 谢建明3,4   

  1. 1. 宜春学院 数学与计算机科学学院, 宜春 336000;
    2. 池州学院 材料与环境工程学院, 池州 247000;
    3. 东南大学 生物科学与医学工程学院, 南京 210096;
    4. 东南大学 生物电子学国家重点实验室, 南京 210096
  • 出版日期:2024-02-18 发布日期:2024-02-18
  • 作者简介:丁德武,博士,副教授,研究方向为生物信息学,E-mail:dwding2008@aliyun.com
  • 基金资助:
    国家自然科学基金项目(62161050); 安徽省教育厅自然科学重点项目(KJ2019A0865)

Research progress on extracellular electron transfer in electricigens based on network and omics methods #br#

DING Dewu1, ZHANG Kun1, HE Xiaoqing2, XIE Jianming3,4   

  1. 1. 宜春学院 数学与计算机科学学院, 宜春 336000;
    2. 池州学院 材料与环境工程学院, 池州 247000;
    3. 东南大学 生物科学与医学工程学院, 南京 210096;
    4. 东南大学 生物电子学国家重点实验室, 南京 210096
  • Online:2024-02-18 Published:2024-02-18

摘要: 介绍产电微生物胞外电子传递(extracellular electron transfer,EET)研究的背景和意义,概述细胞色素c、菌毛蛋白、电子介体等多种分子在EET过程中的作用,综述近年来利用网络方法和组学方法研究产电微生物EET过程的相关工作。从蛋白网络、调控网络与整合网络等方面总结网络分析方法在关键电子传递分子识别、电子传递模块挖掘、电子传递途径推断等方面的应用;从基因组、转录组、蛋白组、多组学与宏组学等方面总结使用组学方法识别电子传递基因及其功能分析方面的研究;介绍整合生物网络与组学数据在产电微生物EET过程生物分子协调利用、关键基因与基因簇识别等方面的研究。探讨当前存在的问题,展望未来整合多种生物网络和组学数据开展产电微生物EET研究的方向。

关键词: 生物信息学, 生物网络, 组学方法, 胞外电子传递, 产电微生物

Abstract: The background and the significance of the research on extracellular electron transfer (EET) in electricigens were introduced. The roles of various molecules such as cytochrome c, pili proteins and electron mediators involved in the EET process were summarized, and the relevant works on the use of network methods and omics methods to study the EET process of electricigens in recent years were reviewed. The applications of network analysis methods in the identification of key electron transfer molecules, mining of electron transfer modules and inference of electron transfer pathways were summarized from several aspects, such as protein networks, regulatory networks and integrated networks; the researches on the use of omics methods to identify electron transfer genes and their functional analysis were summarized from several aspects, such as genome, transcriptome, proteome, multi-omics and meta-omics; and the integration of biological networks and omics data to study the coordinated utilization of biomolecules, identification of key genes and gene clusters in the EET process of electricigens were also introduced. The current problems were discussed, and the future research directions of integrating multiple biological networks and multi-omics data to carry out EET research on electricigens were prospected.

Key words: bioinformatics, biological networks, omics methods, extracellular electron transfer, electricigens

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