Evidence map›Paper›PMID 29138307›Full record

ArticlemBio2017

Microdiversity of an Abundant Terrestrial Bacterium Encompasses Extensive Variation in Ecologically Relevant Traits.

Alexander B Chase, Ulas Karaoz, Eoin L Brodie, Zulema Gomez-Lunar, Adam C Martiny, Jennifer B H Martiny

Open access · goldAbstract read
In one paragraph

Article in mBio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.0field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  5. Microbiology spectrum · 2024
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  16. Defining and quantifying the core microbiome: Challenges and prospects.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Review
  17. Article
  18. Adaptive differentiation and rapid evolution of a soil bacterium along a climate gradient.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Alexander B ChaseDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California, USA abchase@uci.edu.
Ulas KaraozEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California, USA.ORCID 0000-0002-8238-6757
Eoin L BrodieEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Zulema Gomez-LunarDepartment of Earth System Science, University of California, Irvine, California, USA.
Adam C MartinyDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California, USA.
Jennifer B H MartinyDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California, USA.
University of California, Irvine · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much genetic diversity within a bacterial community is likely obscured by microdiversity within operational taxonomic units (OTUs) defined by 16S rRNA gene sequences. However, it is unclear how variation within this microdiversity influences ecologically relevant traits. Here, we employ a multifaceted approach to investigate microdiversity within the dominant leaf litter bacterium,

Indexed as

Biological Variation, PopulationGenetic VariationActinobacteriaCelluloseDNA, BacterialDNA, RibosomalEnvironmental MicrobiologyMetagenomeRNA, Ribosomal, 16SSequence Analysis, DNAXylansCelluloseDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SXylansActinobacteriaCurtobacteriumdroughtecotypesglycoside hydrolasesMicrobacteriaceaenitrogen addition

Identifiers

PMID29138307
PMCPMC5686540
OpenAlexW2769773421

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.