Evidence map›Paper›PMID 37666802›Full record

ArticleNature communications2023

Genome-resolved correlation mapping links microbial community structure to metabolic interactions driving methane production from wastewater.

Brandon Kieft, Niko Finke, Ryan J McLaughlin, Aditi N Nallan, Martin Krzywinski, Sean A Crowe, Steven J Hallam

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brandon KieftDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.ORCID http://orcid.org/0000-0003-2458-9844
Niko FinkeDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.
Ryan J McLaughlinDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.
Aditi N NallanDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.
Martin KrzywinskiGenome Sciences Centre, BC Cancer Agency, Vancouver, BC, V5Z 4S6, Canada.
Sean A CroweDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada.ORCID http://orcid.org/0000-0001-8071-2144
Steven J HallamDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada. shallam@mail.ubc.ca.ORCID http://orcid.org/0000-0002-4889-6876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anaerobic digestion of municipal mixed sludge produces methane that can be converted into renewable natural gas. To improve economics of this microbial mediated process, metabolic interactions catalyzing biomass conversion to energy need to be identified. Here, we present a two-year time series associating microbial metabolism and physicochemistry in a full-scale wastewater treatment plant. By creating a co-occurrence network with thousands of time-resolved microbial populations from over 100 samples spanning four operating configurations, known and novel microbial consortia with potential to drive methane production were identified. Interactions between these populations were further resolved in relation to specific process configurations by mapping metagenome assembled genomes and cognate gene expression data onto the network. Prominent interactions included transcriptionally active Methanolinea methanogens and syntrophic benzoate oxidizing Syntrophorhabdus, as well as a Methanoregulaceae population and putative syntrophic acetate oxidizing bacteria affiliated with Bateroidetes (Tenuifilaceae) expressing the glycine cleavage bypass of the Wood-Ljungdahl pathway.

Indexed as

MetagenomeWastewaterMethaneMicrobial ConsortiaSewageMethaneSewageWastewater

Identifiers

PMID37666802
PMCPMC10477309

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.