Competitive and cooperative metabolic interactions in bacterial communities. 2011

Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
Sackler Faculty of Medicine, 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.

UI MeSH Term Description Entries
D008954 Models, Biological Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment. Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D003198 Computer Simulation Computer-based representation of physical systems and phenomena such as chemical processes. Computational Modeling,Computational Modelling,Computer Models,In silico Modeling,In silico Models,In silico Simulation,Models, Computer,Computerized Models,Computer Model,Computer Simulations,Computerized Model,In silico Model,Model, Computer,Model, Computerized,Model, In silico,Modeling, Computational,Modeling, In silico,Modelling, Computational,Simulation, Computer,Simulation, In silico,Simulations, Computer
D004463 Ecology The branch of science concerned with the interrelationship of organisms and their ENVIRONMENT, especially as manifested by natural cycles and rhythms, community development and structure, interactions between different kinds of organisms, geographic distributions, and population alterations. (Webster's, 3d ed) Bionomics,Ecologies
D000898 Antibiosis A natural association between organisms that is detrimental to at least one of them. This often refers to the production of chemicals by one microorganism that is harmful to another. Bacterial Interference,Microbial Antagonism,Interference, Bacterial,Antagonism, Microbial,Antagonisms, Microbial,Antibioses,Bacterial Interferences,Interferences, Bacterial,Microbial Antagonisms
D001419 Bacteria One of the three domains of life (the others being Eukarya and ARCHAEA), also called Eubacteria. They are unicellular prokaryotic microorganisms which generally possess rigid cell walls, multiply by cell division, and exhibit three principal forms: round or coccal, rodlike or bacillary, and spiral or spirochetal. Bacteria can be classified by their response to OXYGEN: aerobic, anaerobic, or facultatively anaerobic; by the mode by which they obtain their energy: chemotrophy (via chemical reaction) or PHOTOTROPHY (via light reaction); for chemotrophs by their source of chemical energy: CHEMOLITHOTROPHY (from inorganic compounds) or chemoorganotrophy (from organic compounds); and by their source for CARBON; NITROGEN; etc.; HETEROTROPHY (from organic sources) or AUTOTROPHY (from CARBON DIOXIDE). They can also be classified by whether or not they stain (based on the structure of their CELL WALLS) with CRYSTAL VIOLET dye: gram-negative or gram-positive. Eubacteria
D001673 Biodegradation, Environmental Elimination of ENVIRONMENTAL POLLUTANTS; PESTICIDES and other waste using living organisms, usually involving intervention of environmental or sanitation engineers. Bioremediation,Phytoremediation,Natural Attenuation, Pollution,Environmental Biodegradation,Pollution Natural Attenuation
D013559 Symbiosis The relationship between two different species of organisms that are interdependent; each gains benefits from the other or a relationship between different species where both of the organisms in question benefit from the presence of the other. Endosymbiosis,Commensalism,Mutualism
D017753 Ecosystem A functional system which includes the organisms of a natural community together with their environment. (McGraw Hill Dictionary of Scientific and Technical Terms, 4th ed) Ecosystems,Biome,Ecologic System,Ecologic Systems,Ecological System,Habitat,Niche, Ecological,System, Ecological,Systems, Ecological,Biomes,Ecological Niche,Ecological Systems,Habitats,System, Ecologic,Systems, Ecologic
D059013 Microbial Consortia Groups of microorganisms that share metabolic interdependence. Microbial Consortium,Consortia, Microbial,Consortium, Microbial

Related Publications

Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
October 2006, The Journal of biological chemistry,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
January 1999, Visual neuroscience,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
February 2021, Nature ecology & evolution,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
March 2023, Microbiological research,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
January 2012, mBio,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
December 2023, mSystems,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
December 1997, The Journal of biological chemistry,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
October 2011, BMC systems biology,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
January 2017, Frontiers in microbiology,
Shiri Freilich, and Raphy Zarecki, and Omer Eilam, and Ella Shtifman Segal, and Christopher S Henry, and Martin Kupiec, and Uri Gophna, and Roded Sharan, and Eytan Ruppin
January 2016, Frontiers in microbiology,
Copied contents to your clipboard!