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PMID: 22158444 Published · epublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Competitive and cooperative metabolic interactions in bacterial communities.

Nature communications ·Vol. 2 ·2011-12-13 ·Pages 589

Freilich S, Zarecki R, Eilam O, Segal ES, Henry CS, Kupiec M, Gophna U, Sharan R, Ruppin E

Abstract

Revealing the ecological principles that shape communities is a major challenge of the post-genomic era. To date, a systematic approach for describing inter-species interactions has been lacking. Here we independently predict the competitive and cooperative potential between 6,903 bacterial pairs derived from a collection of 118 species' metabolic models. We chart an intricate association between competition and cooperation indicating that the cooperative potential is maximized at moderate levels of resource overlap. Utilizing ecological data from 2,801 samples, we explore the associations between bacterial interactions and coexistence patterns. The high level of competition observed between species with mutual-exclusive distribution patterns supports the role of competition in community assembly. Cooperative interactions are typically unidirectional with no obvious benefit to the giver. However, within their natural communities, bacteria typically form close cooperative loops resulting in indirect benefit to all species involved. These findings are important for the future design of consortia optimized towards bioremediation and bio-production applications.

MeSH Terms
Antibiosis/physiology Bacteria/growth & development,metabolism Biodegradation, Environmental Computer Simulation Ecology Ecosystem Microbial Consortia/physiology Models, Biological Symbiosis/physiology
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Freilich Shiri
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Zarecki Raphy
Eilam Omer
Segal Ella Shtifman
Henry Christopher S
Kupiec Martin
Gophna Uri
Sharan Roded
Ruppin Eytan
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Article Info
Journal
Nature communications
Abbr.
Nat Commun
ISSN
2041-1723
Published
2011-12-13
Epub
2011-00-13
Pages
589
Language
English
Region
England
NLM ID
101528555
Subset
IM
Analysis Services
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