Literature DB >> 26522937

Synthetic Ecology of Microbes: Mathematical Models and Applications.

Ali R Zomorrodi1, Daniel Segrè2.   

Abstract

As the indispensable role of natural microbial communities in many aspects of life on Earth is uncovered, the bottom-up engineering of synthetic microbial consortia with novel functions is becoming an attractive alternative to engineering single-species systems. Here, we summarize recent work on synthetic microbial communities with a particular emphasis on open challenges and opportunities in environmental sustainability and human health. We next provide a critical overview of mathematical approaches, ranging from phenomenological to mechanistic, to decipher the principles that govern the function, dynamics and evolution of microbial ecosystems. Finally, we present our outlook on key aspects of microbial ecosystems and synthetic ecology that require further developments, including the need for more efficient computational algorithms, a better integration of empirical methods and model-driven analysis, the importance of improving gene function annotation, and the value of a standardized library of well-characterized organisms to be used as building blocks of synthetic communities.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Metabolic engineering; Metabolic network modeling; Microbial communities; Synthetic Biology; Systems Biology

Mesh:

Year:  2015        PMID: 26522937      PMCID: PMC4798899          DOI: 10.1016/j.jmb.2015.10.019

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  217 in total

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2.  Synthetic ecology: a model system for cooperation.

Authors:  Maitreya J Dunham
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-31       Impact factor: 11.205

3.  Synthetic ecosystems based on airborne inter- and intrakingdom communication.

Authors:  Wilfried Weber; Marie Daoud-El Baba; Martin Fussenegger
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-05       Impact factor: 11.205

4.  Refactoring the nitrogen fixation gene cluster from Klebsiella oxytoca.

Authors:  Karsten Temme; Dehua Zhao; Christopher A Voigt
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-16       Impact factor: 11.205

5.  Design and characterization of synthetic fungal-bacterial consortia for direct production of isobutanol from cellulosic biomass.

Authors:  Jeremy J Minty; Marc E Singer; Scott A Scholz; Chang-Hoon Bae; Jung-Ho Ahn; Clifton E Foster; James C Liao; Xiaoxia Nina Lin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-19       Impact factor: 11.205

6.  Intercellular nanotubes mediate bacterial communication.

Authors:  Gyanendra P Dubey; Sigal Ben-Yehuda
Journal:  Cell       Date:  2011-02-18       Impact factor: 41.582

7.  From metabolism to ecology: cross-feeding interactions shape the balance between polymicrobial conflict and mutualism.

Authors:  Sylvie Estrela; Christopher H Trisos; Sam P Brown
Journal:  Am Nat       Date:  2012-09-28       Impact factor: 3.926

8.  Construction and completion of flux balance models from pathway databases.

Authors:  Mario Latendresse; Markus Krummenacker; Miles Trupp; Peter D Karp
Journal:  Bioinformatics       Date:  2012-01-18       Impact factor: 6.937

9.  A co-fermentation strategy to consume sugar mixtures effectively.

Authors:  Mark A Eiteman; Sarah A Lee; Elliot Altman
Journal:  J Biol Eng       Date:  2008-02-27       Impact factor: 4.355

10.  A synthetic Escherichia coli predator-prey ecosystem.

Authors:  Frederick K Balagaddé; Hao Song; Jun Ozaki; Cynthia H Collins; Matthew Barnet; Frances H Arnold; Stephen R Quake; Lingchong You
Journal:  Mol Syst Biol       Date:  2008-04-15       Impact factor: 11.429

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  61 in total

Review 1.  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

2.  Modeling microbial communities from atrazine contaminated soils promotes the development of biostimulation solutions.

Authors:  Xihui Xu; Raphy Zarecki; Shlomit Medina; Shany Ofaim; Xiaowei Liu; Chen Chen; Shunli Hu; Dan Brom; Daniella Gat; Seema Porob; Hanan Eizenberg; Zeev Ronen; Jiandong Jiang; Shiri Freilich
Journal:  ISME J       Date:  2018-10-05       Impact factor: 10.302

3.  Machine Learning as Ecology.

Authors:  Owen Howell; Cui Wenping; Robert Marsland; Pankaj Mehta
Journal:  J Phys A Math Theor       Date:  2020-07-29       Impact factor: 2.132

4.  Eco-evolutionary dynamics of nested Darwinian populations and the emergence of community-level heredity.

Authors:  Silvia De Monte; Paul B Rainey; Guilhem Doulcier; Amaury Lambert
Journal:  Elife       Date:  2020-07-07       Impact factor: 8.140

5.  Microbial mutualism dynamics governed by dose-dependent toxicity of cross-fed nutrients.

Authors:  Breah LaSarre; Alexandra L McCully; Jay T Lennon; James B McKinlay
Journal:  ISME J       Date:  2016-11-29       Impact factor: 10.302

6.  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

7.  Metabolic network percolation quantifies biosynthetic capabilities across the human oral microbiome.

Authors:  David B Bernstein; Floyd E Dewhirst; Daniel Segrè
Journal:  Elife       Date:  2019-06-13       Impact factor: 8.140

8.  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

Review 9.  Common principles and best practices for engineering microbiomes.

Authors:  Christopher E Lawson; William R Harcombe; Roland Hatzenpichler; Stephen R Lindemann; Frank E Löffler; Michelle A O'Malley; Héctor García Martín; Brian F Pfleger; Lutgarde Raskin; Ophelia S Venturelli; David G Weissbrodt; Daniel R Noguera; Katherine D McMahon
Journal:  Nat Rev Microbiol       Date:  2019-09-23       Impact factor: 60.633

10.  MI-Sim: A MATLAB package for the numerical analysis of microbial ecological interactions.

Authors:  Matthew J Wade; Jordan Oakley; Sophie Harbisher; Nicholas G Parker; Jan Dolfing
Journal:  PLoS One       Date:  2017-03-08       Impact factor: 3.240

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