TY - JOUR
T1 - Competitive and cooperative metabolic interactions in bacterial communities
AU - Freilich, Shiri
AU - Zarecki, Raphy
AU - Eilam, Omer
AU - Segal, Ella Shtifman
AU - Henry, Christopher S.
AU - Kupiec, Martin
AU - Gophna, Uri
AU - Sharan, Roded
AU - Ruppin, Eytan
N1 - Funding Information:
We thank Erez Persi, Assaf Gotlieb, Tamir Tuller, Adit Naor, Samuel Chaffron, Edwin Wintermute and Rachel Schreiber for their feedback and assistance. We also thank Yair Aharonowitz, Isacc Meilijson, Eugene Rosenberg, Lewi stone, Aharon Oren, Arnon Lotem and Matthew Oberhardt for ideas and discussions. This work was supported by grants from the Israeli Ministry of Science and Technology and the James McDonnell Foundation to E.R., M.K., U.G. and R.S., and via the EU FP7 Microme grant and US-Israel Bi-national Science Fund (BSF) to E.R. and R.S. S.F. was supported by Edmond J. Safra Program in Tel-Aviv University. Model SEED is supported by US Department of Energy under contract DE-ACO2-06CH11357 and the Systems Biology Knowledgebase program.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84455174807&partnerID=8YFLogxK
U2 - 10.1038/ncomms1597
DO - 10.1038/ncomms1597
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C2 - 22158444
AN - SCOPUS:84455174807
SN - 2041-1723
VL - 2
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 589
ER -