Evidence map›Paper›PMID 26341214›Full record

ArticleApplied and environmental microbiology2015

Patterns of Endemism and Habitat Selection in Coalbed Microbial Communities.

Christopher E Lawson, Cameron R Strachan, Dominique D Williams, Susan Koziel, Steven J Hallam, Karen Budwill

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Christopher E LawsonMetaMixis Biologics, Inc., Vancouver, British Columbia, Canada Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Cameron R StrachanMetaMixis Biologics, Inc., Vancouver, British Columbia, Canada Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada.
Dominique D WilliamsMetaMixis Biologics, Inc., Vancouver, British Columbia, Canada.
Susan KozielEnvironment and Carbon Management Division, Alberta Innovates-Technology Futures, Edmonton, Alberta, Canada.
Steven J HallamMetaMixis Biologics, Inc., Vancouver, British Columbia, Canada Department of Microbiology and Immunology, University of British Columbia, Vancouver, British Columbia, Canada Graduate Program in Bioinformatics, University of British Columbia, Vancouver, British Columbia, Canada.
Karen BudwillEnvironment and Carbon Management Division, Alberta Innovates-Technology Futures, Edmonton, Alberta, Canada Karen.Budwill@albertainnovates.ca.
University of British Columbia · CAAlberta Innovates · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbially produced methane, a versatile, cleaner-burning alternative energy resource to fossil fuels, is sourced from a variety of natural and engineered ecosystems, including marine sediments, anaerobic digesters, shales, and coalbeds. There is a prevailing interest in developing environmental biotechnologies to enhance methane production. Here, we use small-subunit rRNA gene sequencing and metagenomics to better describe the interplay between coalbed methane (CBM) well conditions and microbial communities in the Alberta Basin. Our results show that CBM microbial community structures display patterns of endemism and habitat selection across the Alberta Basin, consistent with observations from other geographical locations. While some phylum-level taxonomic patterns were observed, relative abundances of specific taxonomic groups were localized to discrete wells, likely shaped by local environmental conditions, such as coal rank and depth-dependent physicochemical conditions. To better resolve functional potential within the CBM milieu, a metagenome from a deep volatile-bituminous coal sample was generated. This sample was dominated by Rhodobacteraceae genotypes, resolving a near-complete population genome bin related to Celeribacter sp. that encoded metabolic pathways for the degradation of a wide range of aromatic compounds and the production of methanogenic substrates via acidogenic fermentation. Genomic comparisons between the Celeribacter sp. population genome and related organisms isolated from different environments reflected habitat-specific selection pressures that included nitrogen availability and the ability to utilize diverse carbon substrates. Taken together, our observations reveal that both endemism and metabolic specialization should be considered in the development of biostimulation strategies for nonproductive wells or for those with declining productivity.

Indexed as

Genome, ArchaealGenome, BacterialMetagenomeAlbertaArchaeaBacteriaCoalDNA, BacterialEcosystemMetagenomicsMiningRNA, Ribosomal, 16SSequence Analysis, DNACoalDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID26341214
PMCPMC4616946
OpenAlexW2152178805

What OpenQuestion holds

Textmetadata
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.