Literature DB >> 26207681

Metabolic interactions in microbial communities: untangling the Gordian knot.

Olga Ponomarova1, Kiran Raosaheb Patil2.   

Abstract

Metabolic exchanges are ubiquitous in microbial communities. However, detecting metabolite cross-feedings is difficult due to their intrinsically dynamic nature and the complexity of communities. Thus, while exhaustive description of metabolic networks operating in natural systems is a task for the future, the battle of today is divided between detailed characterizations of small, reduced complexity microbial consortia, and focusing on particular metabolic aspects of natural ecosystems. Detecting metabolic interactions requires methodological blend able to capture species identity, dependencies and the nature of exchanged metabolites. Multiple combinations of diverse techniques, from metagenomics to imaging mass spectrometry, offer solutions to this challenge, each combination being tailored to the community at hand.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2015        PMID: 26207681     DOI: 10.1016/j.mib.2015.06.014

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  55 in total

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Journal:  J Dent Res       Date:  2019-07-29       Impact factor: 6.116

Review 2.  Happy together: microbial communities that hook up to swap electrons.

Authors:  Derek R Lovley
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3.  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

4.  Closed-reference metatranscriptomics enables in planta profiling of putative virulence activities in the grapevine trunk disease complex.

Authors:  Abraham Morales-Cruz; Gabrielle Allenbeck; Rosa Figueroa-Balderas; Vanessa E Ashworth; Daniel P Lawrence; Renaud Travadon; Rhonda J Smith; Kendra Baumgartner; Philippe E Rolshausen; Dario Cantu
Journal:  Mol Plant Pathol       Date:  2017-03-26       Impact factor: 5.663

Review 5.  Metabolite secretion in microorganisms: the theory of metabolic overflow put to the test.

Authors:  Farhana R Pinu; Ninna Granucci; James Daniell; Ting-Li Han; Sonia Carneiro; Isabel Rocha; Jens Nielsen; Silas G Villas-Boas
Journal:  Metabolomics       Date:  2018-03-02       Impact factor: 4.290

6.  Regularized S-Map Reveals Varying Bacterial Interactions.

Authors:  Zhong Yu; Zhihao Gan; Hao Huang; Yuelan Zhu; Fangang Meng
Journal:  Appl Environ Microbiol       Date:  2020-10-01       Impact factor: 4.792

7.  Evaluating the Impact of Four Major Nutrients on Gut Microbial Metabolism by a Targeted Metabolomics Approach.

Authors:  Kundi Yang; Mengyang Xu; Jiangjiang Zhu
Journal:  J Proteome Res       Date:  2020-04-23       Impact factor: 4.466

8.  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

9.  Microbial community assembly in wild populations of the fruit fly Drosophila melanogaster.

Authors:  Karen L Adair; Marita Wilson; Alyssa Bost; Angela E Douglas
Journal:  ISME J       Date:  2018-01-22       Impact factor: 10.302

10.  Metabolite Cross-Feeding between Rhodococcus ruber YYL and Bacillus cereus MLY1 in the Biodegradation of Tetrahydrofuran under pH Stress.

Authors:  Zubi Liu; Hui Huang; Minbo Qi; Xuejun Wang; Omosalewa O Adebanjo; Zhenmei Lu
Journal:  Appl Environ Microbiol       Date:  2019-09-17       Impact factor: 4.792

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