Evidence map›Paper›PMID 28303666›Full record

ArticleMicrobiologyOpen2017

Is the methanogenic community reflecting the methane emissions of river sediments?-comparison of two study sites.

Prem Prashant Chaudhary, Martin Rulík, Martin Blaser

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Vegetation Increases CHGlobal change biology · 2026
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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

3 authors.

Prem Prashant ChaudharyDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Martin RulíkDepartment of Ecology and Environmental Sciences, Faculty of Science, Laboratory of Aquatic Microbial Ecology, Palacky University, Olomouc, Czech Republic.
Martin BlaserDepartment of Biogeochemistry, Max Planck Institute for Terrestrial Microbiology, Marburg, Germany.ORCID 0000-0002-8792-4315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on methanogenesis from freshwater sediments have so far primarily focused on lake sediments. To expand our knowledge on the community composition of methanogenic archaea in river sediments, we studied the abundance and diversity of methanogenic archaea at two localities along a vertical profile (top 50 cm) obtained from sediment samples from Sitka stream (the Czech Republic). In this study, we compare two sites which previously have been shown to have a 10-fold different methane emission. Archaeal and methanogen abundance were analyzed by real-time PCR and T-RFLP. Our results show that the absolute numbers for the methanogenic community (qPCR) are relatively stable along a vertical profile as well as for both study sites. This was also true for the archaeal community and for the three major methanogenic orders in our samples (Methanosarcinales, Methanomicrobiales, and Methanobacteriales). However, the underlying community structure (T-RFLP) reveals different community compositions of the methanogens for both locations as well as for different depth layers and over different sampling times. In general, our data confirm that Methanosarcinales together with Methanomicrobiales are the two dominant methanogenic orders in river sediments, while members of Methanobacteriales contribute a smaller community and Methanocellales are only rarely present in this sediment. Our results show that the previously observed 10-fold difference in methane emission of the two sites could not be explained by molecular methods alone.

Indexed as

BiodiversityArchaeaCzech RepublicDNA, ArchaealGeologic SedimentsMethanePolymorphism, Restriction Fragment LengthReal-Time Polymerase Chain ReactionRiversDNA, ArchaealMethanedepth profilemcrAmethanogenqPCRT-RFLP

Identifiers

PMID28303666
PMCPMC5552910

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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.