Computer modeling of genome complexity variation trends in prokaryotic communities under varying habitat conditions
Lashin S.A., Matushkin Yu.G., Suslov V.V., Kolchanov N.A.
Department of Systems Biology, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia; Novosibirsk State University, Novosibirsk, Russia, e-mail: lashin[_at_]bionet.nsc.ru
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.
Keywords: Evolution modeling, gene loss, horizontal gene transfer, genome amplification, genome reduction.
Bibliography link: Lashin S.A., Matushkin Yu.G., Suslov V.V., Kolchanov N.A. Computer modeling of genome complexity variation trends in prokaryotic communities under varying habitat conditions // Ecological Modelling, 2012, Vol. 224, No.1, pp. 124-129, doi: 10.1016/j.ecolmodel.2011.11.004