Literature DB >> 28201744

Synthetic microbial ecology and the dynamic interplay between microbial genotypes.

Jan Dolinšek1,2, Felix Goldschmidt1,2, David R Johnson1.   

Abstract

Assemblages of microbial genotypes growing together can display surprisingly complex and unexpected dynamics and result in community-level functions and behaviors that are not readily expected from analyzing each genotype in isolation. This complexity has, at least in part, inspired a discipline of synthetic microbial ecology. Synthetic microbial ecology focuses on designing, building and analyzing the dynamic behavior of ‘ecological circuits’ (i.e. a set of interacting microbial genotypes) and understanding how community-level properties emerge as a consequence of those interactions. In this review, we discuss typical objectives of synthetic microbial ecology and the main advantages and rationales of using synthetic microbial assemblages. We then summarize recent findings of current synthetic microbial ecology investigations. In particular, we focus on the causes and consequences of the interplay between different microbial genotypes and illustrate how simple interactions can create complex dynamics and promote unexpected community-level properties. We finally propose that distinguishing between active and passive interactions and accounting for the pervasiveness of competition can improve existing frameworks for designing and predicting the dynamics of microbial assemblages.

Keywords:  synthetic ecology; microbial ecology; population dynamics; microbial interactions; community assembly

Mesh:

Year:  2016        PMID: 28201744     DOI: 10.1093/femsre/fuw024

Source DB:  PubMed          Journal:  FEMS Microbiol Rev        ISSN: 0168-6445            Impact factor:   16.408


  25 in total

1.  Early Changes in Nutritional Conditions Affect Formation of Synthetic Mutualism Between Chlorella sorokiniana and the Bacterium Azospirillum brasilense.

Authors:  Oskar A Palacios; Blanca R Lopez; Yoav Bashan; Luz E de-Bashan
Journal:  Microb Ecol       Date:  2018-11-05       Impact factor: 4.552

2.  Analysis of productivity and stability of synthetic microbial communities.

Authors:  Sihao Di; Aidong Yang
Journal:  J R Soc Interface       Date:  2019-01-31       Impact factor: 4.118

Review 3.  The ecology of wine fermentation: a model for the study of complex microbial ecosystems.

Authors:  C G Conacher; N A Luyt; R K Naidoo-Blassoples; D Rossouw; M E Setati; F F Bauer
Journal:  Appl Microbiol Biotechnol       Date:  2021-04-09       Impact factor: 4.813

4.  Understanding the evolution of interspecies interactions in microbial communities.

Authors:  Florien A Gorter; Michael Manhart; Martin Ackermann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-03-23       Impact factor: 6.237

5.  Metabolite toxicity slows local diversity loss during expansion of a microbial cross-feeding community.

Authors:  Felix Goldschmidt; Roland R Regoes; David R Johnson
Journal:  ISME J       Date:  2017-09-15       Impact factor: 10.302

6.  Assembling stable syntrophic Escherichia coli communities by comprehensively identifying beneficiaries of secreted goods.

Authors:  Mariana Noto Guillen; Brittany Rosener; Serkan Sayin; Amir Mitchell
Journal:  Cell Syst       Date:  2021-08-31       Impact factor: 10.304

7.  Label-Free Proteomics of a Defined, Binary Co-culture Reveals Diversity of Competitive Responses Between Members of a Model Soil Microbial System.

Authors:  J F Chignell; S Park; C M R Lacerda; S K De Long; K F Reardon
Journal:  Microb Ecol       Date:  2017-10-03       Impact factor: 4.552

Review 8.  Biophysical processes supporting the diversity of microbial life in soil.

Authors:  Robin Tecon; Dani Or
Journal:  FEMS Microbiol Rev       Date:  2017-09-01       Impact factor: 16.408

9.  Cooperation in carbon source degradation shapes spatial self-organization of microbial consortia on hydrated surfaces.

Authors:  Robin Tecon; Dani Or
Journal:  Sci Rep       Date:  2017-03-06       Impact factor: 4.379

10.  A Synthetic Community System for Probing Microbial Interactions Driven by Exometabolites.

Authors:  John L Chodkowski; Ashley Shade
Journal:  mSystems       Date:  2017-11-14       Impact factor: 6.496

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