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Cited by 403

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Microbial dark matter ecogenomics reveals complex synergistic networks in a methanogenic bioreactor

Open access
Nobu, Masaru K, Narihiro, Takashi, Rinke, Christian, Kamagata, Yoichi, Tringe, Susannah G, Woyke, Tanja, Liu, Wen-Tso·2015·The ISME Journal

Abstract

Ecogenomic investigation of a methanogenic bioreactor degrading terephthalate (TA) allowed elucidation of complex synergistic networks of uncultivated microorganisms, including those from candidate phyla with no cultivated representatives. Our previous metagenomic investigation proposed that Pelotomaculum and methanogens may interact with uncultivated organisms to degrade TA; however, many members of the community remained unaddressed because of past technological limitations. In further pursuit, this study employed state-of-the-art omics tools to generate draft genomes and transcriptomes for uncultivated organisms spanning 15 phyla and reports the first genomic insight into candidate phyla Atribacteria, Hydrogenedentes and Marinimicrobia in methanogenic environments. Metabolic reconstruction revealed that these organisms perform fermentative, syntrophic and acetogenic catabolism facilitated by energy conservation revolving around H2 metabolism. Several of these organisms could degrade TA catabolism by-products (acetate, butyrate and H2) and syntrophically support Pelotomaculum. Other taxa could scavenge anabolic products (protein and lipids) presumably derived from detrital biomass produced by the TA-degrading community. The protein scavengers expressed complementary metabolic pathways indicating syntrophic and fermentative step-wise protein degradation through amino acids, branched-chain fatty acids and propionate. Thus, the uncultivated organisms may interact to form an intricate syntrophy-supported food web with Pelotomaculum and methanogens to metabolize catabolic by-products and detritus, whereby facilitating holistic TA mineralization to CO2 and CH4.

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Metadata

Authors
Nobu, M. K., Narihiro, T., Rinke, C., Kamagata, Y., Tringe, S. G., Woyke, T., & Liu, W.-T.
Venue
The ISME Journal
Published
2015-01-23
Volume
9
Issue
8
Pages
1710-1722
ISSN
  • 1751-7362 (ISSN-L)
  • 1751-7370
OpenAlex
W2036972714
Cited by
403
References
59
FWCI
50.49
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Microbial dark matter ecogenomics reveals complex synergistic networks in a methanogenic bioreactor. https://app.cochat.ai/papers/10.1038/ismej.2014.256
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Nobu, M. K., Narihiro, T., Rinke, C., Kamagata, Y., Tringe, S. G., Woyke, T., & Liu, W.-T. (2015). Microbial dark matter ecogenomics reveals complex synergistic networks in a methanogenic bioreactor. The ISME Journal. https://doi.org/10.1038/ismej.2014.256

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