Evidence map›Paper›PMID 22430505›Full record

ArticleMicrobial ecology2012

Local conditions structure unique archaeal communities in the anoxic sediments of meromictic Lake Kivu.

Susma Bhattarai, Kelly Ann Ross, Martin Schmid, Flavio S Anselmetti, Helmut Bürgmann

Abstract read
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Article in Microbial ecology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Susma BhattaraiDepartment of Surface Waters-Research and Management, Eawag, Swiss Federal Institute for Aquatic Science and Technology, Seestrasse 79, 6047, Kastanienbaum, Switzerland.
Kelly Ann Ross
Martin Schmid
Flavio S Anselmetti
Helmut Bürgmann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meromictic Lake Kivu is renowned for its enormous quantity of methane dissolved in the hypolimnion. The methane is primarily of biological origin, and its concentration has been increasing in the past half-century. Insight into the origin of methane production in Lake Kivu has become relevant with the recent commercial extraction of methane from the hypolimnion. This study provides the first culture-independent approach to identifying the archaeal communities present in Lake Kivu sediments at the sediment-water interface. Terminal restriction fragment length polymorphism analysis suggests considerable heterogeneity in the archaeal community composition at varying sample locations. This diversity reflects changes in the geochemical conditions in the sediment and the overlying water, which are an effect of local groundwater inflows. A more in-depth look at the archaeal community composition by clone library analysis revealed diverse phylogenies of Euryarchaeota and Crenarachaeota. Many of the sequences in the clone libraries belonged to globally distributed archaeal clades such as the rice cluster V and Lake Dagow sediment environmental clusters. Several of the determined clades were previously thought to be rare among freshwater sediment Archaea (e.g., sequences related to the SAGMEG-1 clade). Surprisingly, there was no observed relation of clones to known hydrogentrophic methanogens and less than 2 % of clones were related to acetoclastic methanogens. The local variability, diversity, and novelty of the archaeal community structure in Lake Kivu should be considered when making assumptions on the biogeochemical functioning of its sediments.

Indexed as

EcosystemAnaerobiosisArchaeaCloning, MolecularCrenarchaeotaDNA, ArchaealDNA, RibosomalEuryarchaeotaGene LibraryGenes, rRNAGeologic SedimentsLakesMethaneMolecular Sequence DataPhylogenyPolymorphism, Restriction Fragment LengthDNA, ArchaealDNA, RibosomalMethaneRNA, Ribosomal, 16S

Identifiers

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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.