Evidence map›Paper›PMID 28323280›Full record

ArticleThe ISME journal2017

Defining the functional traits that drive bacterial decomposer community productivity.

Rachael Evans, Anna M Alessi, Susannah Bird, Simon J McQueen-Mason, Neil C Bruce, Michael A Brockhurst

Abstract read
In one paragraph

Article in The ISME journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  9. Multisubstrate DNA stable isotope probing reveals guild structure of bacteria that mediate soil carbon cycling.Proceedings of the National Academy of Sciences of the United States of America · 2021
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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

6 authors.

Rachael EvansDepartment of Biology, University of York, York, UK.
Anna M AlessiDepartment of Biology, University of York, York, UK.
Susannah BirdDepartment of Biology, University of York, York, UK.
Simon J McQueen-MasonDepartment of Biology, University of York, York, UK.
Neil C BruceDepartment of Biology, University of York, York, UK.
Michael A BrockhurstDepartment of Biology, University of York, York, UK.ORCID 0000-0003-0362-820X

Funding

Biotechnology and Biological Sciences Research Council BB/I018492/1Biotechnology and Biological Sciences Research Council BB/J014443/1
6 · The paper itself

Abstract

Microbial communities are essential to a wide range of ecologically and industrially important processes. To control or predict how these communities function, we require a better understanding of the factors which influence microbial community productivity. Here, we combine functional resource use assays with a biodiversity-ecosystem functioning (BEF) experiment to determine whether the functional traits of constituent species can be used to predict community productivity. We quantified the abilities of 12 bacterial species to metabolise components of lignocellulose and then assembled these species into communities of varying diversity and composition to measure their productivity growing on lignocellulose, a complex natural substrate. A positive relationship between diversity and community productivity was caused by a selection effect whereby more diverse communities were more likely to contain two species that significantly improved community productivity. Analysis of functional traits revealed that the observed selection effect was primarily driven by the abilities of these species to degrade β-glucan. Our results indicate that by identifying the key functional traits underlying microbial community productivity we could improve industrial bioprocessing of complex natural substrates.

Indexed as

BiodiversityBacteriaBiodegradation, EnvironmentalSoil Microbiology

Identifiers

PMID28323280
PMCPMC5480597

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.