Coexistence and cooperation in structured habitats

Abstract Background Natural habitats are typically structured, imposing constraints on inhabiting populations and their interactions. Which conditions are important for coexistence of diverse communities, and how cooperative interaction stabilizes in such populations, have been important ecological...

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Main Authors: Lukas Geyrhofer, Naama Brenner
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Ecology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12898-020-00281-y
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spelling doaj-f9a2bc78849a463ba919277b4e27a12c2021-09-02T06:22:26ZengBMCBMC Ecology1472-67852020-03-0120111510.1186/s12898-020-00281-yCoexistence and cooperation in structured habitatsLukas Geyrhofer0Naama Brenner1Network Biology Research Laboratories, and Department of Chemical Engineering, Technion–Israel Institute of TechnologyNetwork Biology Research Laboratories, and Department of Chemical Engineering, Technion–Israel Institute of TechnologyAbstract Background Natural habitats are typically structured, imposing constraints on inhabiting populations and their interactions. Which conditions are important for coexistence of diverse communities, and how cooperative interaction stabilizes in such populations, have been important ecological and evolutionary questions. Results We investigate a minimal ecological framework of microbial population dynamics that exhibits crucial features to show coexistence: Populations repeatedly undergo cycles of separation into compartmentalized habitats and mixing with new resources. The characteristic time-scale is longer than that typical of individual growth. Using analytic approximations, averaging techniques and phase-plane methods of dynamical systems, we provide a framework for analyzing various types of microbial interactions. Population composition and population size are both dynamic variables of the model; they are found to be decoupled both in terms of time-scale and parameter dependence. We present specific results for two examples of cooperative interaction by public goods: collective antibiotics resistance, and enhanced iron-availability by pyoverdine. We find stable coexistence to be a likely outcome. Conclusions The two simple features of a long mixing time-scale and spatial compartmentalization are enough to enable coexisting strains. In particular, costly social traits are often stabilized in such an environment—and thus cooperation established.http://link.springer.com/article/10.1186/s12898-020-00281-yMicrobial interactionsPopulation dynamicsMultilevel selectionPublic goods
collection DOAJ
language English
format Article
sources DOAJ
author Lukas Geyrhofer
Naama Brenner
spellingShingle Lukas Geyrhofer
Naama Brenner
Coexistence and cooperation in structured habitats
BMC Ecology
Microbial interactions
Population dynamics
Multilevel selection
Public goods
author_facet Lukas Geyrhofer
Naama Brenner
author_sort Lukas Geyrhofer
title Coexistence and cooperation in structured habitats
title_short Coexistence and cooperation in structured habitats
title_full Coexistence and cooperation in structured habitats
title_fullStr Coexistence and cooperation in structured habitats
title_full_unstemmed Coexistence and cooperation in structured habitats
title_sort coexistence and cooperation in structured habitats
publisher BMC
series BMC Ecology
issn 1472-6785
publishDate 2020-03-01
description Abstract Background Natural habitats are typically structured, imposing constraints on inhabiting populations and their interactions. Which conditions are important for coexistence of diverse communities, and how cooperative interaction stabilizes in such populations, have been important ecological and evolutionary questions. Results We investigate a minimal ecological framework of microbial population dynamics that exhibits crucial features to show coexistence: Populations repeatedly undergo cycles of separation into compartmentalized habitats and mixing with new resources. The characteristic time-scale is longer than that typical of individual growth. Using analytic approximations, averaging techniques and phase-plane methods of dynamical systems, we provide a framework for analyzing various types of microbial interactions. Population composition and population size are both dynamic variables of the model; they are found to be decoupled both in terms of time-scale and parameter dependence. We present specific results for two examples of cooperative interaction by public goods: collective antibiotics resistance, and enhanced iron-availability by pyoverdine. We find stable coexistence to be a likely outcome. Conclusions The two simple features of a long mixing time-scale and spatial compartmentalization are enough to enable coexisting strains. In particular, costly social traits are often stabilized in such an environment—and thus cooperation established.
topic Microbial interactions
Population dynamics
Multilevel selection
Public goods
url http://link.springer.com/article/10.1186/s12898-020-00281-y
work_keys_str_mv AT lukasgeyrhofer coexistenceandcooperationinstructuredhabitats
AT naamabrenner coexistenceandcooperationinstructuredhabitats
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