Toward a dynamical understanding of microbial communities

被引:16
|
作者
Rainey, Paul B. [1 ,2 ]
Quistad, Steven D. [2 ]
机构
[1] Max Planck Inst Evolutionary Biol, Dept Microbial Populat Biol, D-24306 Plon, Germany
[2] PSL Res Univ, Lab Genet Evolut Chem Biol & Innovat CBI, CNRS, UMR8231,ESPCI Paris, F-75231 Paris, France
基金
欧盟地平线“2020”;
关键词
eco-evolutionary dynamics; lateral gene transfer; experimental community evolution; metagenomics; COMPARATIVE METAGENOMICS; ARTIFICIAL SELECTION; NATURAL-SELECTION; GUT MICROBIOMES; GENE-TRANSFER; EVOLUTION; DIVERSITY; LANDSCAPE; PROPHAGES; REVEALS;
D O I
10.1098/rstb.2019.0248
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The challenge of moving beyond descriptions of microbial community composition to the point where understanding underlying eco-evolutionary dynamics emerges is daunting. While it is tempting to simplify through use of model communities composed of a small number of types, there is a risk that such strategies fail to capture processes that might be specific and intrinsic to complexity of the community itself. Here, we describe approaches that embrace this complexity and show that, in combination with metagenomic strategies, dynamical insight is increasingly possible. Arising from these studies is mounting evidence of rapid eco-evolutionary change among lineages and a sense that processes, particularly those mediated by horizontal gene transfer, not only are integral to system function, but are central to long-term persistence. That such dynamic, systems-level insight is now possible, means that the study and manipulation of microbial communities can move to new levels of inquiry. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Toward Understanding the Dynamics of Microbial Communities in an Estuarine System
    Zhang, Weipeng
    Bougouffa, Salim
    Wang, Yong
    Lee, On On
    Yang, Jiangke
    Chan, Colin
    Song, Xingyu
    Qian, Pei-Yuan
    [J]. PLOS ONE, 2014, 9 (04):
  • [2] Toward an understanding of microbial communities through analysis of communication networks
    Dunn, AK
    Handelsman, J
    [J]. ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY, 2002, 81 (1-4): : 565 - 574
  • [3] Toward an understanding of microbial communities through analysis of communication networks
    Anne K. Dunn
    Jo Handelsman
    [J]. Antonie van Leeuwenhoek, 2002, 81 : 565 - 574
  • [4] Microbial communities as dynamical systems
    Gonze, Didier
    Coyte, Katharine Z.
    Lahti, Leo
    Faust, Karoline
    [J]. CURRENT OPINION IN MICROBIOLOGY, 2018, 44 : 41 - 49
  • [5] Model Microbial Consortia as Tools for Understanding Complex Microbial Communities
    Haruta, Shin
    Yamamoto, Kyosuke
    [J]. CURRENT GENOMICS, 2018, 19 (08) : 723 - 733
  • [6] Toward dynamical understanding of the diquarks, pentaquarks and dibaryons
    Shuryak, E
    [J]. First Meeting of the APS Topical Group on Hadronic Physics, 2005, 9 : 213 - 217
  • [7] Understanding Bacteriophage Specificity in Natural Microbial Communities
    Koskella, Britt
    Meaden, Sean
    [J]. VIRUSES-BASEL, 2013, 5 (03): : 806 - 823
  • [8] Understanding the evolution of interspecies interactions in microbial communities
    Gorter, Florien A.
    Manhart, Michael
    Ackermann, Martin
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2020, 375 (1798)
  • [9] Understanding the influence of carbon nanomaterials on microbial communities
    Chen, Ming
    Sun, Yan
    Liang, Jie
    Zeng, Guangming
    Li, Zhongwu
    Tang, Lin
    Zhu, Yi
    Jiang, Danni
    Song, Biao
    [J]. ENVIRONMENT INTERNATIONAL, 2019, 126 (690-698) : 690 - 698
  • [10] Toward understanding, managing, and protecting microbial ecosystems
    Bodelier, Paul L. E.
    [J]. FRONTIERS IN MICROBIOLOGY, 2011, 2