Evidence map›Paper›PMID 26681584›Full record

ArticleScientific reports2015

Archaeal and bacterial communities across a chronosequence of drained lake basins in Arctic Alaska.

J Kao-Kniffin, B J Woodcroft, S M Carver, J G Bockheim, J Handelsman, G W Tyson, K M Hinkel, C W Mueller

Abstract read
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Article in Scientific reports, 2015. 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

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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

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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.

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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.

J Kao-KniffinCornell University, School of Integrative Plant Science, Ithaca, NY 14853, United States.
B J WoodcroftUniversity of Queensland, Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, Brisbane 4072, Queensland, Australia.
S M CarverCornell University, School of Integrative Plant Science, Ithaca, NY 14853, United States.
J G BockheimUniversity of Wisconsin-Madison, Department of Soil Science, Madison, WI 53706, United States.
J HandelsmanYale University, Department of Molecular, Cellular, and Developmental Biology, New Haven, CT 06520, United States.
G W TysonUniversity of Queensland, Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, Brisbane 4072, Queensland, Australia.
K M HinkelUniversity of Cincinnati, Department of Geography, Cincinnati, Ohio, 45221, United States.
C W MuellerTechnische Universitaet Muenchen (TUM), Lehrstuhl fuer Bodenkunde, 85354 Freising, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined patterns in soil microbial community composition across a successional gradient of drained lake basins in the Arctic Coastal Plain. Analysis of 16S rRNA gene sequences revealed that methanogens closely related to Candidatus 'Methanoflorens stordalenmirensis' were the dominant archaea, comprising >50% of the total archaea at most sites, with particularly high levels in the oldest basins and in the top 57 cm of soil (active and transition layers). Bacterial community composition was more diverse, with lineages from OP11, Actinobacteria, Bacteroidetes, and Proteobacteria found in high relative abundance across all sites. Notably, microbial composition appeared to converge in the active layer, but transition and permafrost layer communities across the sites were significantly different to one another. Microbial biomass using fatty acid-based analysis indicated that the youngest basins had increased abundances of gram-positive bacteria and saprotrophic fungi at higher soil organic carbon levels, while the oldest basins displayed an increase in only the gram-positive bacteria. While this study showed differences in microbial populations across the sites relevant to basin age, the dominance of Candidatus 'M. stordalenmirensis' across the chronosequence indicates the potential for changes in local carbon cycling, depending on how these methanogens and associated microbial communities respond to warming temperatures.

Indexed as

Soil MicrobiologyAlaskaArchaeaArctic RegionsBacteriaBiomassDatabases, GeneticLakesRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S

Identifiers

PMID26681584
PMCPMC4683534

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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.