Literature DB >> 31634468

Cooperation in Microbial Populations: Theory and Experimental Model Systems.

J Cremer1, A Melbinger2, K Wienand2, T Henriquez3, H Jung4, E Frey5.   

Abstract

Cooperative behavior, the costly provision of benefits to others, is common across all domains of life. This review article discusses cooperative behavior in the microbial world, mediated by the exchange of extracellular products called public goods. We focus on model species for which the production of a public good and the related growth disadvantage for the producing cells are well described. To unveil the biological and ecological factors promoting the emergence and stability of cooperative traits we take an interdisciplinary perspective and review insights gained from both mathematical models and well-controlled experimental model systems. Ecologically, we include crucial aspects of the microbial life cycle into our analysis and particularly consider population structures where ensembles of local communities (subpopulations) continuously emerge, grow, and disappear again. Biologically, we explicitly consider the synthesis and regulation of public good production. The discussion of the theoretical approaches includes general evolutionary concepts, population dynamics, and evolutionary game theory. As a specific but generic biological example, we consider populations of Pseudomonas putida and its regulation and use of pyoverdines, iron scavenging molecules, as public goods. The review closes with an overview on cooperation in spatially extended systems and also provides a critical assessment of the insights gained from the experimental and theoretical studies discussed. Current challenges and important new research opportunities are discussed, including the biochemical regulation of public goods, more realistic ecological scenarios resembling native environments, cell-to-cell signaling, and multispecies communities.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Demographic noise; Evolutionary game theory; Pseudomonas; Public good; Structured populations

Mesh:

Year:  2019        PMID: 31634468     DOI: 10.1016/j.jmb.2019.09.023

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  5 in total

1.  Competition for nutritional resources masks the true frequency of bacterial mutants.

Authors:  Henrique Iglesias Neves; Gabriella Trombini Machado; Taíssa Cristina Dos Santos Ramos; Hyun Mo Yang; Ezra Yagil; Beny Spira
Journal:  BMC Biol       Date:  2020-12-14       Impact factor: 7.431

2.  Slow expanders invade by forming dented fronts in microbial colonies.

Authors:  Hyunseok Lee; Jeff Gore; Kirill S Korolev
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-04       Impact factor: 12.779

Review 3.  Modeling approaches for probing cross-feeding interactions in the human gut microbiome.

Authors:  Pedro Saa; Arles Urrutia; Claudia Silva-Andrade; Alberto J Martín; Daniel Garrido
Journal:  Comput Struct Biotechnol J       Date:  2021-12-08       Impact factor: 7.271

4.  Population dynamics of microbial cross-feeding are determined by co-localization probabilities and cooperation-independent cheater growth.

Authors:  Rinke J van Tatenhove-Pel; Daan H de Groot; Anjani S Bisseswar; Bas Teusink; Herwig Bachmann
Journal:  ISME J       Date:  2021-05-05       Impact factor: 10.302

5.  The conditional defector strategies can violate the most crucial supporting mechanisms of cooperation.

Authors:  Ahmed M Ibrahim
Journal:  Sci Rep       Date:  2022-09-07       Impact factor: 4.996

  5 in total

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