Strong inter-population cooperation leads to partner intermixing in microbial communities

dc.contributor.authorMomeni, B.
dc.contributor.authorBrileya, Kristen A.
dc.contributor.authorFields, Matthew W.
dc.contributor.authorShou, W.
dc.date.accessioned2017-01-24T18:40:17Z
dc.date.available2017-01-24T18:40:17Z
dc.date.issued2013-01
dc.description.abstractPatterns of spatial positioning of individuals within microbial communities are often critical to community function. However, understanding patterning in natural communities is hampered by the multitude of cell–cell and cell–environment interactions as well as environmental variability. Here, through simulations and experiments on communities in defined environments, we examined how ecological interactions between two distinct partners impacted community patterning. We found that in strong cooperation with spatially localized large fitness benefits to both partners, a unique pattern is generated: partners spatially intermixed by appearing successively on top of each other, insensitive to initial conditions and interaction dynamics. Intermixing was experimentally observed in two obligatory cooperative systems: an engineered yeast community cooperating through metabolite-exchanges and a methane-producing community cooperating through redox-coupling. Even in simulated communities consisting of several species, most of the strongly-cooperating pairs appeared intermixed. Thus, when ecological interactions are the major patterning force, strong cooperation leads to partner intermixing.en_US
dc.identifier.citationMomeni B, Brileya KA, Fields MW, Shou W , "Strong inter-population cooperation leads to partner intermixing in microbial communities," eLife January 2013, 22(2):e00230.en_US
dc.identifier.issn2050-084X
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/12431
dc.rightsCC BY 4.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleStrong inter-population cooperation leads to partner intermixing in microbial communitiesen_US
dc.typeArticleen_US
mus.citation.extentfirstpagee00230en_US
mus.citation.issue2en_US
mus.citation.journaltitleeLifeen_US
mus.citation.volume22en_US
mus.contributor.orcidFields, Matthew W.|0000-0001-9053-1849en_US
mus.data.thumbpage4en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.7554/elife.00230en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.departmentEcology.en_US
mus.relation.departmentEnvironmental Engineering.en_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US

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