חיפוש מתקדם
Nature Communications
Freilich, S., Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Zarecki, R., Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Eilam, O., Computation Institute, University of Chicago, 5735 South Ellis Avenue, Chicago, IL 60637, United States
Segal, E.S., Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
Henry, C.S., Computation Institute, University of Chicago, 5735 South Ellis Avenue, Chicago, IL 60637, United States
Kupiec, M., Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
Gophna, U., Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
Sharan, R., Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
Ruppin, E., Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
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. © 2011 Macmillan Publishers Limited. All rights reserved.
פותח על ידי קלירמאש פתרונות בע"מ -
הספר "אוצר וולקני"
אודות
תנאי שימוש
Competitive and cooperative metabolic interactions in bacterial communities
2
Freilich, S., Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Zarecki, R., Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
Eilam, O., Computation Institute, University of Chicago, 5735 South Ellis Avenue, Chicago, IL 60637, United States
Segal, E.S., Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
Henry, C.S., Computation Institute, University of Chicago, 5735 South Ellis Avenue, Chicago, IL 60637, United States
Kupiec, M., Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
Gophna, U., Department of Molecular Microbiology and Biotechnology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
Sharan, R., Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
Ruppin, E., Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel, Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
Competitive and cooperative metabolic interactions in bacterial communities
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. © 2011 Macmillan Publishers Limited. All rights reserved.
Scientific Publication
You may also be interested in