Cell Growth Model with Stochastic Gene Expression Helps Understand the Growth Advantage of Metabolic Exchange and Auxotrophy

Dutta, Dibyendu; Saini, Supreet

doi:10.1128/msystems.00448-21

Cited by 2 publications

(2 citation statements)

References 83 publications

(114 reference statements)

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“…In the absence of fundamentals which help us design microbial communities, the challenge associated with instability of multi-species network has been addressed by generating auxotrophic mutants, whose existence is contingent on metabolic trade with each other (D'Souza and Kost, 2016;Giri et al, 2019). Theory has also been used to explain this coexistence because of metabolic trade and co-dependence (Dutta and Saini, 2021). Exploration of space as a variable, and metabolic cooperation/dependence will likely shed more light in explaining coexistence of microbial communities with a large number of species participants.…”

Section: Discussionmentioning

confidence: 99%

Limited Pairwise Synergistic and Antagonistic Interactions Impart Stability to Microbial Communities

2022

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One of the central goals of ecology is to explain and predict coexistence of species. In this context, microbial communities provide a model system where community structure can be studied in environmental niches and in laboratory conditions. A community of microbial population is stabilized by interactions between participating species. However, the nature of these stabilizing interactions has remained largely unknown. Theory and experiments have suggested that communities are stabilized by antagonistic interactions between member species, and destabilized by synergistic interactions. However, experiments have also revealed that a large fraction of all the interactions between species in a community are synergistic in nature. To understand the relative significance of the two types of interactions (synergistic vs. antagonistic) between species, we perform simulations of microbial communities with a small number of participating species using two frameworks—a replicator equation and a Lotka-Volterra framework. Our results demonstrate that synergistic interactions between species play a critical role in maintaining diversity in cultures. These interactions are critical for the ability of the communities to survive perturbations and maintain diversity. We follow up the simulations with quantification of the extent to which synergistic and antagonistic interactions are present in a bacterial community present in a soil sample. Overall, our results show that community stability is largely achieved with the help of synergistic interactions between participating species. However, we perform experiments to demonstrate that antagonistic interactions, in specific circumstances, can also contribute toward community stability.

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confidence: 99%

Limited Pairwise Synergistic and Antagonistic Interactions Impart Stability to Microbial Communities

2022

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“…It has been demonstrated experimentally and theoretically that an auxotrophic pair of genotype/species, trading essential metabolites, can grow faster than the prototroph parent ( Pande et al 2014 ; Dutta and Saini 2020 ). Although theory explains this observation, how, starting from an isogenic prototrophic population, we can achieve a population split to take place is not well understood ( Dutta and Saini 2021 ).…”

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Public good‐driven release of heterogeneous resources leads to genotypic diversification of an isogenic yeast population

et al. 2022

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Understanding the basis of biological diversity remains a central problem in evolutionary biology. Using microbial systems, adaptive diversification has been studied in (a) spatially heterogeneous environments, (b) temporally segregated resources, and (c) resource specialization in a homogeneous environment. However, it is not well understood how adaptive diversification can take place in a homogeneous environment containing a single resource. Starting from an isogenic population of yeast Saccharomyces cerevisiae, we report rapid adaptive diversification, when propagated in an environment containing melibiose as the carbon source. The diversification is driven due to a public good enzyme α‐galactosidase, which hydrolyzes melibiose into glucose and galactose. The diversification is driven by mutations at a single locus, in the GAL3 gene in the S. cerevisiae GAL/MEL regulon. We show that metabolic co‐operation involving public resources could be an important mode of generating biological diversity. Our study demonstrates sympatric diversification of yeast starting from an isogenic population and provides detailed mechanistic insights into the factors and conditions responsible for generating and maintaining the population diversity.

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Cell Growth Model with Stochastic Gene Expression Helps Understand the Growth Advantage of Metabolic Exchange and Auxotrophy

Abstract: Cooperative behaviors are highly prevalent in the wild, but their evolution is not understood. Metabolic flux models can demonstrate the viability of metabolic exchange as cooperative interactions, but steady-state growth models cannot explain why cooperators grow faster.

Cited by 2 publications

References 83 publications

Limited Pairwise Synergistic and Antagonistic Interactions Impart Stability to Microbial Communities

Limited Pairwise Synergistic and Antagonistic Interactions Impart Stability to Microbial Communities

Public good‐driven release of heterogeneous resources leads to genotypic diversification of an isogenic yeast population

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