Literature DB >> 23760793

Microbial interactions during residual oil and n-fatty acid metabolism by a methanogenic consortium.

Brandon E L Morris1, Florian-Alexander Herbst, Felipe Bastida, Jana Seifert, Martin von Bergen, Hans-Hermann Richnow, Joseph M Suflita.   

Abstract

Carbon flow in a model methanogenic consortium capable of hydrocarbon degradation was investigated using a combination of stable isotope fractionation, protein-based stable isotope probing, and metaproteomics. Overall δ(13) C enrichment for methane and CO2 in the presence and absence of oil suggests that complex microbial interactions occur during methanogenic hydrocarbon mineralization. Specifically, the Δδ(13) C of CO2 was statistically identical in all incubations irrespective of oil presence, but the Δδ(13) C for methane was greater in the presence of oil compared with fatty acids alone. In addition, carbon from uniformly ((13) C) labelled n-fatty acids was distributed evenly among consortium members in the presence of oil, but used by relatively few community members when provided alone. In all incubations, aceticlastic and hydrogenotrophic methanogens were labelled to an equal extent, suggesting that no pathway is overwhelmingly dominant during methane production by the model consortium. Protein-based stable isotope probing identified key enzymes responsible for methanogenesis from CO2 and acetate labelled with 78.0 ± 4.4% and 73.3 ± 1.0% (13) C respectively. Results suggest that acetate was used directly by methanogens in the presence of n-fatty acids alone, and that methanogenesis from CO2 was a secondary process. Proteins capable of catalysing hydrocarbon activation by addition to fumarate were not found. Collectively, this study demonstrates that significant microbial cooperation is required to recover hydrocarbons as methane.
© 2012 Society for Applied Microbiology and Blackwell Publishing Ltd.

Entities:  

Year:  2012        PMID: 23760793     DOI: 10.1111/j.1758-2229.2012.00333.x

Source DB:  PubMed          Journal:  Environ Microbiol Rep        ISSN: 1758-2229            Impact factor:   3.541


  7 in total

Review 1.  Insights from quantitative metaproteomics and protein-stable isotope probing into microbial ecology.

Authors:  Martin von Bergen; Nico Jehmlich; Martin Taubert; Carsten Vogt; Felipe Bastida; Florian-Alexander Herbst; Frank Schmidt; Hans-Hermann Richnow; Jana Seifert
Journal:  ISME J       Date:  2013-05-16       Impact factor: 10.302

Review 2.  Proteomic tools to decipher microbial community structure and functioning.

Authors:  Florence Arsène-Ploetze; Philippe N Bertin; Christine Carapito
Journal:  Environ Sci Pollut Res Int       Date:  2014-12-05       Impact factor: 4.223

3.  Volatile hydrocarbons inhibit methanogenic crude oil degradation.

Authors:  Angela Sherry; Russell J Grant; Carolyn M Aitken; D Martin Jones; Ian M Head; Neil D Gray
Journal:  Front Microbiol       Date:  2014-04-03       Impact factor: 5.640

4.  Metaproteomics and metabolomics analyses of chronically petroleum-polluted sites reveal the importance of general anaerobic processes uncoupled with degradation.

Authors:  Rafael Bargiela; Florian-Alexander Herbst; Mónica Martínez-Martínez; Jana Seifert; David Rojo; Simone Cappello; María Genovese; Francesca Crisafi; Renata Denaro; Tatyana N Chernikova; Coral Barbas; Martin von Bergen; Michail M Yakimov; Manuel Ferrer; Peter N Golyshin
Journal:  Proteomics       Date:  2015-08-27       Impact factor: 3.984

5.  Insights into the ecology, evolution, and metabolism of the widespread Woesearchaeotal lineages.

Authors:  Xiaobo Liu; Meng Li; Cindy J Castelle; Alexander J Probst; Zhichao Zhou; Jie Pan; Yang Liu; Jillian F Banfield; Ji-Dong Gu
Journal:  Microbiome       Date:  2018-06-08       Impact factor: 14.650

Review 6.  Considerations for constructing a protein sequence database for metaproteomics.

Authors:  J Alfredo Blakeley-Ruiz; Manuel Kleiner
Journal:  Comput Struct Biotechnol J       Date:  2022-01-21       Impact factor: 7.271

7.  Evaluating the impact of different sequence databases on metaproteome analysis: insights from a lab-assembled microbial mixture.

Authors:  Alessandro Tanca; Antonio Palomba; Massimo Deligios; Tiziana Cubeddu; Cristina Fraumene; Grazia Biosa; Daniela Pagnozzi; Maria Filippa Addis; Sergio Uzzau
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

  7 in total

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