Evidence map›Paper›PMID 26896137›Full record

ArticleApplied and environmental microbiology2016

Estimates of Soil Bacterial Ribosome Content and Diversity Are Significantly Affected by the Nucleic Acid Extraction Method Employed.

Pia K Wüst, Heiko Nacke, Kristin Kaiser, Sven Marhan, Johannes Sikorski, Ellen Kandeler, Rolf Daniel, Jörg Overmann

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  5. The Evolution of Ecological Diversity inFrontiers in microbiology · 2022
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  14. The Hoops, Hopes, and Hypes of Human Microbiome Research.The Yale journal of biology and medicine · 2016
    Review
  15. Article
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.

Pia K WüstDepartment of Microbial Ecology and Diversity Research, Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Heiko NackeDepartment of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, Georg-August University Göttingen, Göttingen, Germany.
Kristin KaiserDepartment of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, Georg-August University Göttingen, Göttingen, Germany.
Sven MarhanInstitute of Soil Science and Land Evaluation, Soil Biology Section, University of Hohenheim, Stuttgart, Germany.
Johannes SikorskiDepartment of Microbial Ecology and Diversity Research, Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
Ellen KandelerInstitute of Soil Science and Land Evaluation, Soil Biology Section, University of Hohenheim, Stuttgart, Germany.
Rolf DanielDepartment of Genomic and Applied Microbiology, Institute of Microbiology and Genetics, Georg-August University Göttingen, Göttingen, Germany.
Jörg OvermannDepartment of Microbial Ecology and Diversity Research, Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany joerg.overmann@dsmz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern sequencing technologies allow high-resolution analyses of total and potentially active soil microbial communities based on their DNA and RNA, respectively. In the present study, quantitative PCR and 454 pyrosequencing were used to evaluate the effects of different extraction methods on the abundance and diversity of 16S rRNA genes and transcripts recovered from three different types of soils (leptosol, stagnosol, and gleysol). The quality and yield of nucleic acids varied considerably with respect to both the applied extraction method and the analyzed type of soil. The bacterial ribosome content (calculated as the ratio of 16S rRNA transcripts to 16S rRNA genes) can serve as an indicator of the potential activity of bacterial cells and differed by 2 orders of magnitude between nucleic acid extracts obtained by the various extraction methods. Depending on the extraction method, the relative abundances of dominant soil taxa, in particular Actino bacteria and Proteobacteria, varied by a factor of up to 10. Through this systematic approach, the present study allows guidelines to be deduced for the selection of the appropriate extraction protocol according to the specific soil properties, the nucleic acid of interest, and the target organisms.

Indexed as

Soil MicrobiologyBacteriaBacteriological TechniquesBiodiversityDNA, BacterialNucleic AcidsPhylogenyReal-Time Polymerase Chain ReactionRibosomesRNA, BacterialRNA, Ribosomal, 16SSequence Analysis, DNASoilDNA, BacterialNucleic AcidsRNA, BacterialRNA, Ribosomal, 16SSoil

Identifiers

PMID26896137
PMCPMC4836429

What OpenQuestion holds

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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.