Evidence map›Paper›PMID 27567683›Full record

ArticleGene2016

PhyloCore: A phylogenetic approach to identifying core taxa in microbial communities.

Tiantian Ren, Martin Wu

Abstract read
In one paragraph

Article in Gene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Dynamic nesting ofEcology and evolution · 2024
    Article
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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

2 authors.

Tiantian RenDepartment of Biology, University of Virginia, Charlottesville, VA 22904, USA.
Martin WuDepartment of Biology, University of Virginia, Charlottesville, VA 22904, USA. Electronic address: mw4yv@virginia.edu.

Funding

Mapping and predicting metabolic fluxes between the ileal microbiome and hostR01GM108501 · NIGMS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON · 2014 to 2017
$1.4M
NIGMS NIH HHS R01 GM108501
6 · The paper itself

Abstract

backgroundIdentifying core microbiota is an important step for understanding the key components of microbial communities. Traditional approach that identifies core taxa at the OTU level ignores potential ecological coherence of higher rank taxa. There is a need to develop software that can systematically identify core taxa at and above the species level.

resultsHere we developed PhyloCore, an application that uses a phylogeny-based algorithm to identify core taxa at the proper taxonomic levels. It incorporates a number of features that users can set according to their needs. Using multiple gut microbiota as test cases, we demonstrate that PhyloCore is more powerful and flexible than OTU-based approaches.

conclusionsPhyloCore is a flexible and fast application that identifies core taxa at proper taxonomic levels, making it useful to sequence-based microbial ecology studies. The software is freely available at http://wolbachia.biology.virginia.edu/WuLab/Software.html.

Indexed as

AlgorithmsPhylogenyMicrobiotaCore taxaMicrobiotaOTU

Identifiers

PMID27567683
PMCPMC5037057

What OpenQuestion holds

Textmetadata
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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.