Evidence map›Paper›PMID 24904563›Full record

ReviewFrontiers in microbiology2014

Trait-based approaches for understanding microbial biodiversity and ecosystem functioning.

Sascha Krause, Xavier Le Roux, Pascal A Niklaus, Peter M Van Bodegom, Jay T Lennon, Stefan Bertilsson, Hans-Peter Grossart, Laurent Philippot, Paul L E Bodelier

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing 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

164 citing papers in PubMed.

  1. Article
  2. Review
  3. Microbial ecology of shallow groundwater ecosystems.Nature reviews. Microbiology · 2026
    Review
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104 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

9 authors.

Sascha KrauseDepartment of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW) Wageningen, Netherlands ; Department of Chemical Engineering, University of Washington Seattle, WA, USA.
Xavier Le RouxEcologie Microbienne, CNRS, INRA, Université de Lyon, Université Lyon 1, UMR 5557, USC 1193 Villeurbanne, France.
Pascal A NiklausInstitute of Evolutionary Biology and Environmental Studies, University of Zurich Zurich, Switzerland.
Peter M Van BodegomSubdepartment of Systems Ecology, Department of Ecological Sciences, VU University Amsterdam Amsterdam, Netherlands.
Jay T LennonDepartment of Biology, Indiana University Bloomington, IN, USA.
Stefan BertilssonLimnology and Science for Life Laboratory, Department of Ecology and Genetics, Uppsala University Uppsala, Sweden.
Hans-Peter GrossartLeibniz-Institute for Freshwater Ecology and Inland Fisheries Berlin, Germany ; Institute for Biochemistry and Biology, Potsdam University Potsdam, Germany.
Laurent PhilippotINRA, UMR 1347 Agroecologie Dijon, France.
Paul L E BodelierDepartment of Microbial Ecology, Netherlands Institute of Ecology (NIOO-KNAW) Wageningen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In ecology, biodiversity-ecosystem functioning (BEF) research has seen a shift in perspective from taxonomy to function in the last two decades, with successful application of trait-based approaches. This shift offers opportunities for a deeper mechanistic understanding of the role of biodiversity in maintaining multiple ecosystem processes and services. In this paper, we highlight studies that have focused on BEF of microbial communities with an emphasis on integrating trait-based approaches to microbial ecology. In doing so, we explore some of the inherent challenges and opportunities of understanding BEF using microbial systems. For example, microbial biologists characterize communities using gene phylogenies that are often unable to resolve functional traits. Additionally, experimental designs of existing microbial BEF studies are often inadequate to unravel BEF relationships. We argue that combining eco-physiological studies with contemporary molecular tools in a trait-based framework can reinforce our ability to link microbial diversity to ecosystem processes. We conclude that such trait-based approaches are a promising framework to increase the understanding of microbial BEF relationships and thus generating systematic principles in microbial ecology and more generally ecology.

Indexed as

ecological theoryecosystem functionfunctional traitsmicrobial diversitystudy designs

Identifiers

PMID24904563
PMCPMC4033906

What OpenQuestion holds

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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.