Evidence map›Paper›PMID 26682918›Full record

ArticlePLoS computational biology2015

High-Specificity Targeted Functional Profiling in Microbial Communities with ShortBRED.

James Kaminski, Molly K Gibson, Eric A Franzosa, Nicola Segata, Gautam Dantas, Curtis Huttenhower

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% 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

211 citing papers in PubMed, 2 syntheses or guidelines pooled it, 360 citations in OpenAlex.

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  6. Impact of a Purified Microbiome Therapeutic on Abundance of Antimicrobial Resistance Genes in Patients With Recurrent Clostridioides difficile Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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151 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 at 3 institutions in 2 countries.

James KaminskiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Molly K GibsonCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Eric A FranzosaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Nicola SegataCentre for Integrative Biology (CIBIO), University of Trento, Trento, Trentino, Italy.
Gautam DantasCenter for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Curtis HuttenhowerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Harvard University · USWashington University in St. Louis · USUniversity of Trento · IT

Funding

METAGENOMIC ENGINEERING OF PROBIOTIC BACTERIA TO IMPROVE INTESTINAL COLONIZATIONDP2DK098089 · NIDDK · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM · 2012 to 2012
$2.1M
Functional activity and inter-organismal interactions in the human microbiomeR01HG005969 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUTTENHOWER, CURTIS · 2010 to 2012
$1.3M
ESTABLISHMENT AND DYNAMICS OF ANTIBIOTIC RESISTANCE RESERVOIRS IN DEVELOPING INTER01GM099538 · NIGMS · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM · 2013 to 2016
$1.2M
NHGRI NIH HHS R01 HG005969NHGRI NIH HHS R01HG005969NIDDK NIH HHS DP2 DK098089NIDDK NIH HHS DP2DK098089NIGMS NIH HHS R01 GM099538NIGMS NIH HHS R01GM099538
6 · The paper itself

Abstract

Profiling microbial community function from metagenomic sequencing data remains a computationally challenging problem. Mapping millions of DNA reads from such samples to reference protein databases requires long run-times, and short read lengths can result in spurious hits to unrelated proteins (loss of specificity). We developed ShortBRED (Short, Better Representative Extract Dataset) to address these challenges, facilitating fast, accurate functional profiling of metagenomic samples. ShortBRED consists of two components: (i) a method that reduces reference proteins of interest to short, highly representative amino acid sequences ("markers") and (ii) a search step that maps reads to these markers to quantify the relative abundance of their associated proteins. After evaluating ShortBRED on synthetic data, we applied it to profile antibiotic resistance protein families in the gut microbiomes of individuals from the United States, China, Malawi, and Venezuela. Our results support antibiotic resistance as a core function in the human gut microbiome, with tetracycline-resistant ribosomal protection proteins and Class A beta-lactamases being the most widely distributed resistance mechanisms worldwide. ShortBRED markers are applicable to other homology-based search tasks, which we demonstrate here by identifying phylogenetic signatures of antibiotic resistance across more than 3,000 microbial isolate genomes. ShortBRED can be applied to profile a wide variety of protein families of interest; the software, source code, and documentation are available for download at http://huttenhower.sph.harvard.edu/shortbred.

Indexed as

AlgorithmsBacterial ProteinsGenetic MarkersHigh-Throughput Nucleotide SequencingHumansMicrobiotaOpen Reading FramesReproducibility of ResultsSensitivity and SpecificitySequence AlignmentSoftwareBacterial ProteinsGenetic Markers

Identifiers

PMID26682918
PMCPMC4684307
OpenAlexW2211038293

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.