Evidence map›Paper›PMID 38345372›Full record

ArticlemBio2024

Krumholzibacteriota and Deltaproteobacteria contain rare genetic potential to liberate carbon from monoaromatic compounds in subsurface coal seams.

Bronwyn C Campbell, Paul Greenfield, Elliott P Barnhart, Se Gong, David J Midgley, Ian T Paulsen, Simon C George

Abstract read
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Bronwyn C CampbellEnvironment Business Unit, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Floreat, Western Australia, Australia.ORCID 0000-0003-0302-3331
Paul GreenfieldSchool of Natural Sciences, Macquarie University, North Ryde, New South Wales, Australia.ORCID 0000-0003-4028-9243
Elliott P BarnhartU.S. Geological Survey, Wyoming-Montana Water Science Center, Helena, Montana, USA.ORCID 0000-0002-8788-8393
Se GongEnergy Business Unit, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Lindfield, New South Wales, Australia.ORCID 0000-0002-0184-2950
David J MidgleyEnergy Business Unit, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Lindfield, New South Wales, Australia.
Ian T PaulsenSchool of Natural Sciences, Macquarie University, North Ryde, New South Wales, Australia.ORCID 0000-0001-9015-9418
Simon C GeorgeSchool of Natural Sciences, Macquarie University, North Ryde, New South Wales, Australia.ORCID 0000-0001-6534-3846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biogenic methane in subsurface coal seam environments is produced by diverse consortia of microbes. Although this methane is useful for global energy security, it remains unclear which microbes can liberate carbon from the coal. Most of this carbon is relatively resistant to biodegradation, as it is contained within aromatic rings. Thus, to explore for coal-degrading taxa in the subsurface, this study reconstructed relevant metagenome-assembled genomes (MAGs) from coal seams by using a key genomic marker for the anaerobic degradation of monoaromatic compounds as a guide: the benzoyl-CoA reductase gene (

Indexed as

CoalDeltaproteobacteriaCarbonMethaneCarbonCoalMethanearomatic hydrocarbonsbenzoyl-CoA reductasebiodegradationcarbon cyclingcoal bed methanecoal seam microbiologycoal seam microbiomedearomatizationdeep subsurfaceKrumholzibacteriotametagenomicsmicrobial ecology

Identifiers

PMID38345372
PMCPMC10936416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.