2015
DOI: 10.1186/s12918-015-0155-1
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Spatially-resolved metabolic cooperativity within dense bacterial colonies

Abstract: BackgroundThe exchange of metabolites and the reprogramming of metabolism in response to shifting microenvironmental conditions can drive subpopulations of cells within colonies toward divergent behaviors. Understanding the interactions of these subpopulations—their potential for competition as well as cooperation—requires both a metabolic model capable of accounting for a wide range of environmental conditions, and a detailed dynamic description of the cells’ shared extracellular space.ResultsHere we show tha… Show more

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Cited by 87 publications
(126 citation statements)
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“…Although this method has yet to be applied to plant‐microbe mutualisms, it has led to the illumination of a cross‐feeding relationship between bacteria growing in colonies (Cole et al . ). Cole et al .…”
Section: How Do Structured Interactions Affect Mutualisms?mentioning
confidence: 97%
See 1 more Smart Citation
“…Although this method has yet to be applied to plant‐microbe mutualisms, it has led to the illumination of a cross‐feeding relationship between bacteria growing in colonies (Cole et al . ). Cole et al .…”
Section: How Do Structured Interactions Affect Mutualisms?mentioning
confidence: 97%
“…The existence of these groups was confirmed by imaging bacteria that express the green fluorescent protein when they consume acetate (Cole et al . ).…”
Section: How Do Structured Interactions Affect Mutualisms?mentioning
confidence: 97%
“…COMETS enabled the study of how pairs of cross-feeding colonies may be affected by the interposition of a third colony in between them, highlighting the complex dependency of inter-species interactions on spatial organization. A modeling strategy similar to COMETS was used to model the emergence of acetate cross-feeding sub-populations in colonies of E. coli growing on an agar plate 216 .…”
Section: Mathematical Modeling and Computational Analysis Of Microbiamentioning
confidence: 99%
“…For example, the gut is full of pockets of distinct microbial communities that constrain the ability of a given microbe to interact with other microbes, and factors such as diet influence patterns of spatial clustering [81]. Even in simple communities with little complex spatial structure, simulations reveal that where a particular microbe resides within a community matters [82]. Harcombe et al [83] have used constraint-based models to make the surprising prediction that when two collaborative, cross-feeding colonies of the gut microbes E. coli and S. enterica are separated by a competitor colony of S. enterica , growth of the original S. enterica colony increases, and they have confirmed these results experimentally.…”
Section: Future Directions: Community Metabolic Models Non-metabolicmentioning
confidence: 99%