論文

査読有り
2014年7月

Persistence in the shadow of killers

FRONTIERS IN MICROBIOLOGY
  • Robert M. Sinclair

5
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3389/fmicb.2014.00342
出版者・発行元
FRONTIERS RESEARCH FOUNDATION

Killing is perhaps the most definite form of communication possible. Microbes such as yeasts and gut bacteria have been shown to exhibit killer phenotypes. The killer strains are able to kill other microbes occupying the same ecological niche, and do so with impunity. It would therefore be expected that, wherever a killer phenotype has arisen, all members of the population would soon be killers or dead. Surprisingly, (1) one can find both killer and sensitive strains in coexistence, both in the wild and in in vitro experiments, and (2) the absolute fitness cost of the killer phenotype often seems to be very small. We present an explicit model of such coexistence in a fragmented or discrete environment. A killer strain may kill all sensitive cells in one patch (one piece of rotting fruit, one cave or one human gut, for example), allowing sensitives to exist only in the absence of killer strains on the same patch. In our model, populations spread easily between patches, but in a stochastic manner: one can imagine spores borne by the wind over a field of untended apple trees, or enteric disease transmission in a region in which travel is effectively unrestricted. What we show is that coexistence is not only possible, but that it is possible even if the absolute fitness advantage of the sensitive strain over the killer strain is arbitrarily small. We do this by performing a specifically targeted mathematical analysis on our model, rather than via simulations. Our model does not assume large population densities, and may thus be useful in the context of understanding the ecology of extreme environments.

Web of Science ® 被引用回数 : 8

リンク情報
DOI
https://doi.org/10.3389/fmicb.2014.00342
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000339061600001&DestApp=WOS_CPL
URL
http://orcid.org/0000-0002-9646-4322
ID情報
  • DOI : 10.3389/fmicb.2014.00342
  • ISSN : 1664-302X
  • ORCIDのPut Code : 15293289
  • Web of Science ID : WOS:000339061600001

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