Evidence map›Paper›PMID 20729324›Full record

ArticleApplied and environmental microbiology2010

Horizon-specific bacterial community composition of German grassland soils, as revealed by pyrosequencing-based analysis of 16S rRNA genes.

Christiane Will, Andrea Thürmer, Antje Wollherr, Heiko Nacke, Nadine Herold, Marion Schrumpf, Jessica Gutknecht, Tesfaye Wubet, François Buscot, Rolf Daniel

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing 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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3 · Its place in the literature

Who cites it

119 citing papers in PubMed.

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59 more citing papers are in PubMed but not listed here.

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

10 authors.

Christiane WillDepartment of Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, Georg-August-Universität Göttingen, Grisebachstr. 8, D-37077 Göttingen, Germany.
Andrea Thürmer
Antje Wollherr
Heiko Nacke
Nadine Herold
Marion Schrumpf
Jessica Gutknecht
Tesfaye Wubet
François Buscot
Rolf Daniel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diversity of bacteria in soil is enormous, and soil bacterial communities can vary greatly in structure. Here, we employed a pyrosequencing-based analysis of the V2-V3 16S rRNA gene region to characterize the overall and horizon-specific (A and B horizons) bacterial community compositions in nine grassland soils, which covered three different land use types. The entire data set comprised 752,838 sequences, 600,544 of which could be classified below the domain level. The average number of sequences per horizon was 41,824. The dominant taxonomic groups present in all samples and horizons were the Acidobacteria, Betaproteobacteria, Actinobacteria, Gammaproteobacteria, Alphaproteobacteria, Deltaproteobacteria, Chloroflexi, Firmicutes, and Bacteroidetes. Despite these overarching dominant taxa, the abundance, diversity, and composition of bacterial communities were horizon specific. In almost all cases, the estimated bacterial diversity (H') was higher in the A horizons than in the corresponding B horizons. In addition, the H' was positively correlated with the organic carbon content, the total nitrogen content, and the C-to-N ratio, which decreased with soil depth. It appeared that lower land use intensity results in higher bacterial diversity. The majority of sequences affiliated with the Actinobacteria, Bacteroidetes, Cyanobacteria, Fibrobacteres, Firmicutes, Spirochaetes, Verrucomicrobia, Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria were derived from A horizons, whereas the majority of the sequences related to Acidobacteria, Chloroflexi, Gemmatimonadetes, Nitrospira, TM7, and WS3 originated from B horizons. The distribution of some bacterial phylogenetic groups and subgroups in the different horizons correlated with soil properties such as organic carbon content, total nitrogen content, or microbial biomass.

Indexed as

BiodiversityMetagenomeSoil MicrobiologyBacteriaCarbonCluster AnalysisDNA, BacterialDNA, RibosomalGermanyMolecular Sequence DataNitrogenPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoilCarbonDNA, BacterialDNA, RibosomalNitrogenRNA, Ribosomal, 16SSoil

Identifiers

PMID20729324
PMCPMC2953013

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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.