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Computer modeling of genome complexity variation trends in prokaryotic communities under varying habitat conditions

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  • Lashin, Sergey A.
  • Matushkin, Yury G.
  • Suslov, Valentin V.
  • Kolchanov, Nikolay A.

Abstract

There are two types of organisms’ grouping in nature: mono-species populations and multi-species communities. Here at during the process of evolution the adaptability of a trait is to be tested both at population and ecocenotic levels. Size of a genome is one of the major adaptive traits, which widely varies in eukaryotic species. By contrast, prokaryotes with their small genomes are considered to have genome reduction evolutionary trend. Domination of this trend is mostly founded on population-level models. In this paper we in silico study interactions of ecocenotic and population levels. The trend of genome and metabolism reduction in prokaryotic communities was shown to be major only in comfortable environmental conditions. In subcomfortable conditions, genome and metabolism reduction leads to community simplification (in extreme case to community death). Pessimum conditions promote metabolism integration of a community and induce reciprocal genes acquiring.

Suggested Citation

  • Lashin, Sergey A. & Matushkin, Yury G. & Suslov, Valentin V. & Kolchanov, Nikolay A., 2012. "Computer modeling of genome complexity variation trends in prokaryotic communities under varying habitat conditions," Ecological Modelling, Elsevier, vol. 224(1), pages 124-129.
    • Handle: RePEc:eee:ecomod:v:224:y:2012:i:1:p:124-129
    DOI: 10.1016/j.ecolmodel.2011.11.004
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    References listed on IDEAS

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    1. Sean B. Carroll, 2001. "Chance and necessity: the evolution of morphological complexity and diversity," Nature, Nature, vol. 409(6823), pages 1102-1109, February.
    2. Maria C. Rivera & James A. Lake, 2004. "The ring of life provides evidence for a genome fusion origin of eukaryotes," Nature, Nature, vol. 431(7005), pages 152-155, September.
    3. Howard Ochman & Jeffrey G. Lawrence & Eduardo A. Groisman, 2000. "Lateral gene transfer and the nature of bacterial innovation," Nature, Nature, vol. 405(6784), pages 299-304, May.
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    1. Klimenko, Alexandra I. & Matushkin, Yury G. & Kolchanov, Nikolay A. & Lashin, Sergey A., 2019. "Spatial heterogeneity promotes antagonistic evolutionary scenarios in microbial community explained by ecological stratification: a simulation study," Ecological Modelling, Elsevier, vol. 399(C), pages 66-76.

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