Evidence map›Paper›PMID 26943627›Full record

ArticleThe ISME journal2016

Capturing the most wanted taxa through cross-sample correlations.

Mathieu Almeida, Mihai Pop, Emmanuelle Le Chatelier, Edi Prifti, Nicolas Pons, Amine Ghozlane, S Dusko Ehrlich

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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Review
  6. Article
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

7 authors.

Mathieu AlmeidaCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Mihai PopCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.
Emmanuelle Le ChatelierINRA, Institut National de la Recherche Agronomique, US 1367 Metagenopolis, Jouy en Josas, France.
Edi PriftiINRA, Institut National de la Recherche Agronomique, US 1367 Metagenopolis, Jouy en Josas, France.
Nicolas PonsINRA, Institut National de la Recherche Agronomique, US 1367 Metagenopolis, Jouy en Josas, France.
Amine GhozlaneINRA, Institut National de la Recherche Agronomique, US 1367 Metagenopolis, Jouy en Josas, France.
S Dusko EhrlichINRA, Institut National de la Recherche Agronomique, US 1367 Metagenopolis, Jouy en Josas, France.

Funding

Algorithms and Software for the Assembly of Metagenomic DataR01AI100947 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI POP, MIHAI · 2013 to 2025
$7.4M
NIAID NIH HHS R01 AI100947
6 · The paper itself

Abstract

The Human Microbiome Project (HMP) identified the 16S rRNA gene sequences of 'most wanted' taxa-prevalent in the healthy human microbiota but distant from previously known sequences. Since 2012, few of the corresponding genomes have been isolated and sequenced, and only through advanced isolation techniques. We demonstrate that the genomes of the most wanted taxa can be identified computationally through their correlation in abundance across multiple public metagenomic data sets. We link over 200 most wanted sequences with nearly complete genome sequences, including half of the taxa identified as high-priority targets by the HMP. The genomes we identify have strong similarity to genomes reconstructed through expensive isolation techniques, and provide a more complete functional characterization of these organisms than can be extrapolated from their 16S rRNA gene. We also provide insights into the function of organisms for which 16S rRNA gene signatures were recently reported to be associated with health and host genetic factors.

Indexed as

MicrobiotaBacteriaHumansMetagenomicsPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID26943627
PMCPMC5030688

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.