Literature DB >> 27272242

Adding biotic complexity alters the metabolic benefits of mutualism.

William R Harcombe1,2,3, Alex Betts4,5, Jason W Shapiro6,7, Christopher J Marx4,8,9,10.   

Abstract

Mutualism is ubiquitous in nature and plays an integral role in most communities. To predict the eco-evolutionary dynamics of mutualism it is critical to extend classic pair-wise analysis to include additional species. We investigated the effect of adding a third species to a pair-wise mutualism in a spatially structured environment. We tested the hypotheses that selection for costly excretions in a focal population (i) decreases when an exploiter is added (ii) increases when a third mutualist is added relative to the pair-wise scenario. We assayed the selection acting on Salmonella enterica when it exchanges methionine for carbon in an obligate mutualism with an auxotrophic Escherichia coli. A third bacterium, Methylobacterium extorquens, was then added and acted either as an exploiter of the carbon or third obligate mutualist depending on the nitrogen source. In the tripartite mutualism M. extorquens provided nitrogen to the other species. Contrary to our expectations, adding an exploiter increased selection for methionine excretion in S. enterica. Conversely, selection for cooperation was lower in the tripartite mutualism relative to the pair-wise system. Genome-scale metabolic models helped identify the mechanisms underlying these changes in selection. Our results highlight the utility of connecting metabolic mechanisms and eco-evolutionary dynamics.
© 2016 The Author(s). Evolution © 2016 The Society for the Study of Evolution.

Entities:  

Keywords:  Cooperation; E. coli; M. extorquens; S. enterica; exploitation; metabolic modeling; mutualism

Mesh:

Substances:

Year:  2016        PMID: 27272242      PMCID: PMC4980190          DOI: 10.1111/evo.12973

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  50 in total

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5.  Combining engineering and evolution to create novel metabolic mutualisms between species.

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Journal:  Methods Mol Biol       Date:  2014

6.  Omic data from evolved E. coli are consistent with computed optimal growth from genome-scale models.

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Journal:  Mol Syst Biol       Date:  2010-07       Impact factor: 11.429

7.  A genome-scale, constraint-based approach to systems biology of human metabolism.

Authors:  Monica L Mo; Neema Jamshidi; Bernhard Ø Palsson
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8.  Novel cooperation experimentally evolved between species.

Authors:  William Harcombe
Journal:  Evolution       Date:  2010-01-21       Impact factor: 3.694

9.  Species interactions differ in their genetic robustness.

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Authors:  Babak Momeni; Kristen A Brileya; Matthew W Fields; Wenying Shou
Journal:  Elife       Date:  2013-01-22       Impact factor: 8.140

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Review 2.  Extracellular Metabolism Sets the Table for Microbial Cross-Feeding.

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3.  The spatial and metabolic basis of colony size variation.

Authors:  Jeremy M Chacón; Wolfram Möbius; William R Harcombe
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4.  The Power of Metabolism for Predicting Microbial Community Dynamics.

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Journal:  mSystems       Date:  2019-06-11       Impact factor: 6.496

5.  The evolution of coexistence from competition in experimental co-cultures of Escherichia coli and Saccharomyces cerevisiae.

Authors:  Jake N Barber; Aysha L Sezmis; Laura C Woods; Trenton D Anderson; Jasmyn M Voss; Michael J McDonald
Journal:  ISME J       Date:  2020-10-22       Impact factor: 10.302

6.  Evolution of bidirectional costly mutualism from byproduct consumption.

Authors:  William R Harcombe; Jeremy M Chacón; Elizabeth M Adamowicz; Lon M Chubiz; Christopher J Marx
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-22       Impact factor: 11.205

7.  Weakest-Link Dynamics Predict Apparent Antibiotic Interactions in a Model Cross-Feeding Community.

Authors:  Elizabeth M Adamowicz; William R Harcombe
Journal:  Antimicrob Agents Chemother       Date:  2020-10-20       Impact factor: 5.191

  7 in total

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