Evidence map›Paper›PMID 27549116›Full record

GuidelineFEMS microbiology ecology2016

Soil and leaf litter metaproteomics-a brief guideline from sampling to understanding.

Katharina M Keiblinger, Stephan Fuchs, Sophie Zechmeister-Boltenstern, Katharina Riedel

Abstract readGuidelineReview
In one paragraph

Guideline in FEMS microbiology ecology, 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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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

4 authors.

Katharina M KeiblingerInstitute for Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Strasse 82, 1190 Vienna, Austria katharina.keiblinger@boku.ac.at.
Stephan FuchsInstitute of Microbiology, University of Greifswald, Friedrich-Ludwig-Jahnstrasse 15, 17489 Greifswald, Germany.
Sophie Zechmeister-BoltensternInstitute for Soil Research, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna (BOKU), Peter Jordan-Strasse 82, 1190 Vienna, Austria.
Katharina RiedelInstitute of Microbiology, University of Greifswald, Friedrich-Ludwig-Jahnstrasse 15, 17489 Greifswald, Germany.

Funding

Austrian Science Fund FWF P 25438
6 · The paper itself

Abstract

The increasing application of soil metaproteomics is providing unprecedented, in-depth characterization of the composition and functionality of in situ microbial communities. Despite recent advances in high-resolution mass spectrometry, soil metaproteomics still suffers from a lack of effective and reproducible protein extraction protocols and standardized data analyses. This review discusses the opportunities and limitations of selected techniques in soil-, and leaf litter metaproteomics, and presents a step-by-step guideline on their application, covering sampling, sample preparation, extraction and data evaluation strategies. In addition, we present recent applications of soil metaproteomics and discuss how such approaches, linking phylogenetics and functionality, can help gain deeper insights into terrestrial microbial ecology. Finally, we strongly recommend that to maximize the insights environmental metaproteomics may provide, such methods should be employed within a holistic experimental approach considering relevant aboveground and belowground ecosystem parameters.

Indexed as

EcosystemMicrobiotaPlant LeavesProteomeProteomicsEnvironmentMass SpectrometrySoilSoil MicrobiologyProteomeSoilbioinformatics, functional databasesenvironmental proteomicsmeta-analysisprotein extraction, matrix effects

Identifiers

PMID27549116
PMCPMC5026301

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.