Evidence map›Paper›PMID 25991679›Full record

ArticlemBio2015

Patterns in wetland microbial community composition and functional gene repertoire associated with methane emissions.

Shaomei He, Stephanie A Malfatti, Jack W McFarland, Frank E Anderson, Amrita Pati, Marcel Huntemann, Julien Tremblay, Tijana Glavina del Rio, Mark P Waldrop, Lisamarie Windham-Myers and 1 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 136 citations in OpenAlex.

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  15. Soil microbial COFrontiers in microbiology · 2024
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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

11 authors at 3 institutions in 1 country.

Shaomei HeDOE Joint Genome Institute, Walnut Creek, California, USA.
Stephanie A Malfatti
Jack W McFarlandU.S. Geological Survey, Menlo Park, California, USA.
Frank E AndersonU.S. Geological Survey, Menlo Park, California, USA.
Amrita PatiDOE Joint Genome Institute, Walnut Creek, California, USA.
Marcel HuntemannDOE Joint Genome Institute, Walnut Creek, California, USA.
Julien TremblayDOE Joint Genome Institute, Walnut Creek, California, USA.
Tijana Glavina del RioDOE Joint Genome Institute, Walnut Creek, California, USA.
Mark P WaldropU.S. Geological Survey, Menlo Park, California, USA.
Lisamarie Windham-MyersU.S. Geological Survey, Menlo Park, California, USA.
Susannah G TringeDOE Joint Genome Institute, Walnut Creek, California, USA sgtringe@lbl.gov.
Joint Genome Institute · USUnited States Geological Survey · USLawrence Livermore National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledWetland restoration on peat islands previously drained for agriculture has potential to reverse land subsidence and sequester atmospheric carbon dioxide as peat accretes. However, the emission of methane could potentially offset the greenhouse gas benefits of captured carbon. As microbial communities play a key role in governing wetland greenhouse gas fluxes, we are interested in how microbial community composition and functions are associated with wetland hydrology, biogeochemistry, and methane emission, which is critical to modeling the microbial component in wetland methane fluxes and to managing restoration projects for maximal carbon sequestration. Here, we couple sequence-based methods with biogeochemical and greenhouse gas measurements to interrogate microbial communities from a pilot-scale restored wetland in the Sacramento-San Joaquin Delta of California, revealing considerable spatial heterogeneity even within this relatively small site. A number of microbial populations and functions showed strong correlations with electron acceptor availability and methane production; some also showed a preference for association with plant roots. Marker gene phylogenies revealed a diversity of major methane-producing and -consuming populations and suggested novel diversity within methanotrophs. Methanogenic archaea were observed in all samples, as were nitrate-, sulfate-, and metal-reducing bacteria, indicating that no single terminal electron acceptor was preferred despite differences in energetic favorability and suggesting spatial microheterogeneity and microniches. Notably, methanogens were negatively correlated with nitrate-, sulfate-, and metal-reducing bacteria and were most abundant at sampling sites with high peat accretion and low electron acceptor availability, where methane production was highest. IMPORTANCE: Wetlands are the largest nonanthropogenic source of atmospheric methane but also a key global carbon reservoir. Characterizing belowground microbial communities that mediate carbon cycling in wetlands is critical to accurately predicting their responses to changes in land management and climate. Here, we studied a restored wetland and revealed substantial spatial heterogeneity in biogeochemistry, methane production, and microbial communities, largely associated with the wetland hydraulic design. We observed patterns in microbial community composition and functions correlated with biogeochemistry and methane production, including diverse microorganisms involved in methane production and consumption. We found that methanogenesis gene abundance is inversely correlated with genes from pathways exploiting other electron acceptors, yet the ubiquitous presence of genes from all these pathways suggests that diverse electron acceptors contribute to the energetic balance of the ecosystem. These investigations represent an important step toward effective management of wetlands to reduce methane flux to the atmosphere and enhance belowground carbon storage.

Indexed as

BiotaEnvironmental MicrobiologyMetagenomeWetlandsArchaeaBacteriaCaliforniaCluster AnalysisDNA, ArchaealDNA, BacterialDNA, RibosomalGenes, rRNAMetabolic Networks and PathwaysMethaneMolecular Sequence DataPhylogeographyDNA, ArchaealDNA, BacterialDNA, RibosomalMethaneRNA, ArchaealRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID25991679
PMCPMC4442139
OpenAlexW2157272043

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.