Constrained proteome allocation affects coexistence in models of competitive microbial communities

被引:0
|
作者
Leonardo Pacciani-Mori
Samir Suweis
Amos Maritan
Andrea Giometto
机构
[1] Università degli Studi di Padova,Dipartimento di Fisica e Astronomia “Galileo Galilei”
[2] Harvard University,Department of Physics
[3] Cornell University,School of Civil and Environmental Engineering
来源
The ISME Journal | 2021年 / 15卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Microbial communities are ubiquitous and play crucial roles in many natural processes. Despite their importance for the environment, industry and human health, there are still many aspects of microbial community dynamics that we do not understand quantitatively. Recent experiments have shown that the structure and composition of microbial communities are intertwined with the metabolism of the species that inhabit them, suggesting that properties at the intracellular level such as the allocation of cellular proteomic resources must be taken into account when describing microbial communities with a population dynamics approach. In this work, we reconsider one of the theoretical frameworks most commonly used to model population dynamics in competitive ecosystems, MacArthur’s consumer-resource model, in light of experimental evidence showing how proteome allocation affects microbial growth. This new framework allows us to describe community dynamics at an intermediate level of complexity between classical consumer-resource models and biochemical models of microbial metabolism, accounting for temporally-varying proteome allocation subject to constraints on growth and protein synthesis in the presence of multiple resources, while preserving analytical insight into the dynamics of the system. We first show with a simple experiment that proteome allocation needs to be accounted for to properly understand the dynamics of even the simplest microbial community, i.e. two bacterial strains competing for one common resource. Then, we study our consumer-proteome-resource model analytically and numerically to determine the conditions that allow multiple species to coexist in systems with arbitrary numbers of species and resources.
引用
收藏
页码:1458 / 1477
页数:19
相关论文
共 50 条
  • [21] A conceptual framework for the phylogenetically constrained assembly of microbial communities
    Aguirre de Carcer, Daniel
    MICROBIOME, 2019, 7 (01)
  • [22] Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities
    Daly, Aisling J.
    Quaghebeur, Ward
    Depraetere, Tim M. A.
    Baetens, Jan M.
    De Baets, Bernard
    NATURAL COMPUTING, 2019, 18 (04) : 855 - 864
  • [23] Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities
    Aisling J. Daly
    Ward Quaghebeur
    Tim M. A. Depraetere
    Jan M. Baetens
    Bernard De Baets
    Natural Computing, 2019, 18 : 855 - 864
  • [24] The Mechanisms of Coexistence and Competitive Exclusion in Complex Plankton Ecosystem Models
    Cropp, Roger
    Norbury, John
    ECOSYSTEMS, 2012, 15 (02) : 200 - 212
  • [26] Consistency, competitive exclusion and coexistence in complex plankton ecosystem models
    Cropp, R. A.
    Norbury, J.
    19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), 2011, : 2128 - 2134
  • [27] Coexistence and exclusion of stochastic competitive Lotka-Volterra models
    Nguyen, Dang H.
    Yin, George
    JOURNAL OF DIFFERENTIAL EQUATIONS, 2017, 262 (03) : 1192 - 1225
  • [28] The Mechanisms of Coexistence and Competitive Exclusion in Complex Plankton Ecosystem Models
    Roger Cropp
    John Norbury
    Ecosystems, 2012, 15 : 200 - 212
  • [29] Coexistence for a kind of stochastic three-species competitive models
    Huang, Nantian
    Huang, Jiabing
    Wei, Yuming
    Liu, Yongjian
    OPEN MATHEMATICS, 2019, 17 : 1203 - 1219
  • [30] Optimal Resource Allocation for Delay Constrained Users in Self-coexistence WRAN
    Zhao, Yanxiao
    Anjum, M. D. Nashid
    Song, Min
    Xu, Xiaohua
    Wang, Guodong
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,