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A multidimensional perspective on microbial interactions

Pacheco, Alan R ; Segrè, Daniel

FEMS microbiology letters, 2019-06, Vol.366 (11), p.1 [Periódico revisado por pares]

England: Oxford University Press

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Título:
A multidimensional perspective on microbial interactions
Autor: Pacheco, Alan R ; Segrè, Daniel
Assuntos: Analysis ; Animals ; Antibiotics ; BASIC BIOLOGICAL SCIENCES ; Ecology - methods ; Environmental aspects ; Humans ; Incubator ; Literature reviews ; Microbial activity ; Microbial colonies ; microbial communities ; microbial ecology ; microbial interactions ; Microbial Interactions - physiology ; Microbial metabolism ; Microbiological research ; microbiology ; microbiome ; Microbiota - physiology ; Microorganisms ; Mini Review ; Modelling ; mutualism ; Mutualism (Biology) ; Physiological aspects ; Quorum sensing ; Syntrophism ; Systems Biology - methods ; systems biology of metabolism
É parte de: FEMS microbiology letters, 2019-06, Vol.366 (11), p.1
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
USDOE Office of Science (SC)
National Science Foundation (NSF)
Defense Advanced Research Projects Agency (DARPA)
US Army Research Office (ARO)
National Institutes of Health (NIH)
SC0012627; HR0011-15-C-0091; W911NF-12-1-0390; T32GM100842; 5R01DE024468; R01GM121950; P30DK036836; 1457695; 1635070
Descrição: Beyond being simply positive or negative, beneficial or inhibitory, microbial interactions can involve a diverse set of mechanisms, dependencies and dynamical properties. These more nuanced features have been described in great detail for some specific types of interactions, (e.g. pairwise metabolic cross-feeding, quorum sensing or antibiotic killing), often with the use of quantitative measurements and insight derived from modeling. With a growing understanding of the composition and dynamics of complex microbial communities for human health and other applications, we face the challenge of integrating information about these different interactions into comprehensive quantitative frameworks. Here, we review the literature on a wide set of microbial interactions, and explore the potential value of a formal categorization based on multidimensional vectors of attributes. We propose that such an encoding can facilitate systematic, direct comparisons of interaction mechanisms and dependencies, and we discuss the relevance of an atlas of interactions for future modeling and rational design efforts.
Editor: England: Oxford University Press
Idioma: Inglês

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A multidimensional perspective on microbial interactions

Pacheco, Alan R ; Segrè, Daniel

England: Oxford University Press

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