Literature DB >> 25708911

Modeling evolution of spatially distributed bacterial communities: a simulation with the haploid evolutionary constructor.

Alexandra Klimenko, Yury Matushkin, Nikolay Kolchanov, Sergey Lashin.   

Abstract

BACKGROUND: Multiscale approaches for integrating submodels of various levels of biological organization into a single model became the major tool of systems biology. In this paper, we have constructed and simulated a set of multiscale models of spatially distributed microbial communities and study an influence of unevenly distributed environmental factors on the genetic diversity and evolution of the community members.
RESULTS: Haploid Evolutionary Constructor software http://evol-constructor.bionet.nsc.ru/ was expanded by adding the tool for the spatial modeling of a microbial community (1D, 2D and 3D versions). A set of the models of spatially distributed communities was built to demonstrate that the spatial distribution of cells affects both intensity of selection and evolution rate.
CONCLUSION: In spatially heterogeneous communities, the change in the direction of the environmental flow might be reflected in local irregular population dynamics, while the genetic structure of populations (frequencies of the alleles) remains stable. Furthermore, in spatially heterogeneous communities, the chemotaxis might dramatically affect the evolution of community members.

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Year:  2015        PMID: 25708911      PMCID: PMC4331802          DOI: 10.1186/1471-2148-15-S1-S3

Source DB:  PubMed          Journal:  BMC Evol Biol        ISSN: 1471-2148            Impact factor:   3.260


  33 in total

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9.  Adaptive radiation in a heterogeneous environment.

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Authors:  J U Kreft; C Picioreanu; J W Wimpenny; M C van Loosdrecht
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  1 in total

1.  Bacteriophages affect evolution of bacterial communities in spatially distributed habitats: a simulation study.

Authors:  Alexandra Igorevna Klimenko; Yury Georgievich Matushkin; Nikolay Alexandrovich Kolchanov; Sergey Alexandrovich Lashin
Journal:  BMC Microbiol       Date:  2016-01-27       Impact factor: 3.605

  1 in total

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