Evidence map›Paper›PMID 26344404›Full record

ArticleNature biotechnology2015

ConStrains identifies microbial strains in metagenomic datasets.

Chengwei Luo, Rob Knight, Heli Siljander, Mikael Knip, Ramnik J Xavier, Dirk Gevers

Abstract read
In one paragraph

Article in Nature biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing 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

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

  1. Pooled it
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  14. Methods for Chromosome-Scale Haplotype Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. Review
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  17. Article
  18. Floria: fast and accurate strain haplotyping in metagenomes.Bioinformatics (Oxford, England) · 2024
    Article
  19. Article
  20. Article

90 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

6 authors.

Chengwei LuoBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts, USA.
Rob KnightDepartment of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, Colorado, USA.ORCID http://orcid.org/0000-0002-0975-9019
Heli SiljanderChildren's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Mikael KnipChildren's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID http://orcid.org/0000-0003-0474-0033
Ramnik J XavierBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts, USA.
Dirk GeversBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts, USA.

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Trace the flow of genes in the gut microbiome of obese and lean twin pairsP01DK078669 · NIDDK · WASHINGTON UNIVERSITY · PI GORDON, JEFFREY I · 2007 to 2018
$16.0M
Characterizing the gut microbial ecosystem for diagnosis and therapy in IBDU54DK102557 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS, XAVIER, RAMNIK J · 2014 to 2015
$7.7M
Autophagy genes and the microbiome in Crohn's DiseaseR01DK092405 · NIDDK · BROAD INSTITUTE, INC. · PI XAVIER, RAMNIK J · 2012 to 2014
$2.0M
New Tools for Understanding the Composition and Dynamics of Microbial CommunitiesR01HG004872 · NHGRI · UNIVERSITY OF COLORADO · PI KNIGHT, ROB · 2008 to 2012
$1.8M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG004872NIDDK NIH HHS P01 DK078669NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R01 DK092405NIDDK NIH HHS U54 DK102557
6 · The paper itself

Abstract

An important fraction of microbial diversity is harbored in strain individuality, so identification of conspecific bacterial strains is imperative for improved understanding of microbial community functions. Limitations in bioinformatics and sequencing technologies have to date precluded strain identification owing to difficulties in phasing short reads to faithfully recover the original strain-level genotypes, which have highly similar sequences. We present ConStrains, an open-source algorithm that identifies conspecific strains from metagenomic sequence data and reconstructs the phylogeny of these strains in microbial communities. The algorithm uses single-nucleotide polymorphism (SNP) patterns in a set of universal genes to infer within-species structures that represent strains. Applying ConStrains to simulated and host-derived datasets provides insights into microbial community dynamics.

Indexed as

AlgorithmsBacteriaChromosome MappingDatabases, GeneticDatasets as TopicGenome, BacterialMetagenomicsMicrobiotaSequence Analysis, DNASpecies Specificity

Identifiers

PMID26344404
PMCPMC4676274

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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.