2010
DOI: 10.1073/pnas.0908456107
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Rapid evolution of stability and productivity at the origin of a microbial mutualism

Abstract: Mutualistic interactions are taxonomically and functionally diverse. Despite their ubiquity, however, the basic ecological and evolutionary processes underlying their origin and maintenance are poorly understood. A major reason for this is the lack of an experimentally tractable model system. We examine the evolution of an experimentally imposed obligate mutualism between sulfatereducing and methanogenic microorganisms that have no known history of previous interaction. Twenty-four independent pairings (cocult… Show more

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Cited by 222 publications
(254 citation statements)
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“…This situation could lead to unstable growth, especially if one species is inhibited [83][84][85] . A recent experiment with 24 independently evolving co-cultures confirmed these predictions 86 . Initially, growth was unstable and two cocultures almost went extinct.…”
Section: Syntrophic Interactions and Evolution Of Srmsmentioning
confidence: 77%
“…This situation could lead to unstable growth, especially if one species is inhibited [83][84][85] . A recent experiment with 24 independently evolving co-cultures confirmed these predictions 86 . Initially, growth was unstable and two cocultures almost went extinct.…”
Section: Syntrophic Interactions and Evolution Of Srmsmentioning
confidence: 77%
“…The partnership between D. vulgaris and M. maripaludis, discussed above, can be broken and reinitiated under controlled conditions (Hillesland and Stahl 2010). Although these strains derive from syntrophic lineages, they have been isolated from different environments and propagated separately.…”
Section: By-product Exchangementioning
confidence: 99%
“…As an alternative, synthetic microbial communities (cocultures) have been developed in which two or more species are cultivated together under laboratory conditions. Cocultures preserve core aspects of natural systems while offering greater practical experimental control (Shou et al, 2007;Hillesland and Stahl, 2010;Summers et al, 2010;Harcombe, 2010;Momeni et al, 2011;Hom and Murray, 2014;Mee et al, 2014). They are also more amenable to modeling than are natural systems and facilitate the development, experimental testing and refining of models for predicting community behavior (Zomorrodi and SegrĂš, 2015;Johns et al, 2016;Lindemann et al, 2016;Widder et al, 2016).…”
Section: Introductionmentioning
confidence: 99%