Evidence map›Paper›PMID 30086797›Full record

ArticleMicrobiome2018

Viral and metabolic controls on high rates of microbial sulfur and carbon cycling in wetland ecosystems.

Paula Dalcin Martins, Robert E Danczak, Simon Roux, Jeroen Frank, Mikayla A Borton, Richard A Wolfe, Marie N Burris, Michael J Wilkins

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 106 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Paula Dalcin MartinsDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Robert E DanczakDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Simon RouxDepartment of Energy, Joint Genome Institute, Walnut Creek, CA, USA.
Jeroen FrankDepartment of Microbiology, Radboud University Nijmegen, Nijmegen, The Netherlands.
Mikayla A BortonDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Richard A WolfeDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Marie N BurrisDepartment of Microbiology, The Ohio State University, Columbus, OH, USA.
Michael J WilkinsDepartment of Microbiology, The Ohio State University, Columbus, OH, USA. wilkins.231@osu.edu.ORCID 0000-0002-3595-0853
The Ohio State University · USJoint Genome Institute · USRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroorganisms drive high rates of methanogenesis and carbon mineralization in wetland ecosystems. These signals are especially pronounced in the Prairie Pothole Region of North America, the tenth largest wetland ecosystem in the world. Sulfate reduction rates up to 22 μmol cm

resultsWe recovered 162 dsrA and 206 dsrD sequences from 18 sediment metagenomes and reconstructed 24 candidate sulfate reducer genomes assigned to seven phyla. These genomes encoded the potential for utilizing a wide variety of electron donors, such as methanol and other alcohols, methylamines, and glycine betaine. We also identified 37 mcrA sequences spanning five orders and recovered two putative methanogen genomes representing the most abundant taxa-Methanosaeta and Methanoregulaceae. However, given the abundance of Methanofollis-affiliated mcrA sequences, the detection of F420-dependent alcohol dehydrogenases, and millimolar concentrations of ethanol and 2-propanol in sediment pore fluids, we hypothesize that these alcohols may drive a significant fraction of methanogenesis in this ecosystem. Finally, extensive viral novelty was detected, with approximately 80% of viral populations being unclassified at any known taxonomic levels and absent from publicly available databases. Many of these viral populations were predicted to target dominant sulfate reducers and methanogens.

conclusionsOur results indicate that diversity is likely key to extremely high rates of methanogenesis and sulfate reduction observed in these wetlands. The inferred genomic diversity and metabolic versatility could result from dynamic environmental conditions, viral infections, and niche differentiation in the heterogeneous sediment matrix. These processes likely play an important role in modulating carbon and sulfur cycling in this ecosystem.

Indexed as

BacteriaCarbonDNA, RibosomalGeologic SedimentsHigh-Throughput Nucleotide SequencingMetagenomicsNorth AmericaOxidation-ReductionPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASulfurVirusesWetlandsCarbonDNA, RibosomalRNA, Ribosomal, 16SSulfurAlcoholsC1 metabolismMethaneSulfate reductionVirusesWetlands

Identifiers

PMID30086797
PMCPMC6081815
OpenAlexW2887571629

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LicenceCC BY
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Registered trials

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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.