Evidence map›Paper›PMID 26565722›Full record

ArticleThe ISME journal2016

Decreases in average bacterial community rRNA operon copy number during succession.

Diana R Nemergut, Joseph E Knelman, Scott Ferrenberg, Teresa Bilinski, Brett Melbourne, Lin Jiang, Cyrille Violle, John L Darcy, Tiffany Prest, Steven K Schmidt and 1 more

Abstract read
In one paragraph

Article in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
–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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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9 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

11 authors.

Diana R NemergutDepartment of Biology, Duke University, Durham, NC, USA.
Joseph E KnelmanInstitute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA.
Scott FerrenbergDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.
Teresa BilinskiDepartment of Biological Sciences, St Edward's University, Austin, TX, USA.
Brett MelbourneDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.
Lin JiangSchool of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
Cyrille ViolleCentre d'Ecologie Fonctionnelle et Evolutive, Montpellier, France.
John L DarcyDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.
Tiffany PrestDepartment of Biology, Duke University, Durham, NC, USA.
Steven K SchmidtDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.
Alan R TownsendNicholas School of the Environment, Duke University, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trait-based studies can help clarify the mechanisms driving patterns of microbial community assembly and coexistence. Here, we use a trait-based approach to explore the importance of rRNA operon copy number in microbial succession, building on prior evidence that organisms with higher copy numbers respond more rapidly to nutrient inputs. We set flasks of heterotrophic media into the environment and examined bacterial community assembly at seven time points. Communities were arrayed along a geographic gradient to introduce stochasticity via dispersal processes and were analyzed using 16 S rRNA gene pyrosequencing, and rRNA operon copy number was modeled using ancestral trait reconstruction. We found that taxonomic composition was similar between communities at the beginning of the experiment and then diverged through time; as well, phylogenetic clustering within communities decreased over time. The average rRNA operon copy number decreased over the experiment, and variance in rRNA operon copy number was lowest both early and late in succession. We then analyzed bacterial community data from other soil and sediment primary and secondary successional sequences from three markedly different ecosystem types. Our results demonstrate that decreases in average copy number are a consistent feature of communities across various drivers of ecological succession. Importantly, our work supports the scaling of the copy number trait over multiple levels of biological organization, ranging from cells to populations and communities, with implications for both microbial ecology and evolution.

Indexed as

Soil MicrobiologyBacteriaColoradoEcosystemGene DosageOperonPhylogenyRNA, Ribosomal, 16SrRNA OperonSequence Analysis, RNASoilStochastic ProcessesRNA, Ribosomal, 16SSoil

Identifiers

PMID26565722
PMCPMC5029226

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LicenceCC BY-NC-SA
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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.