Evidence map›Paper›PMID 34113324›Full record

ArticleFrontiers in microbiology2021

Binary Metabolic Phenotypes and Phenotype Diversity Metrics for the Functional Characterization of Microbial Communities.

Stanislav N Iablokov, Pavel S Novichkov, Andrei L Osterman, Dmitry A Rodionov

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Stanislav N IablokovA.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
Pavel S NovichkovPhenoBiome Inc., Walnut Creek, CA, United States.
Andrei L OstermanSanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States.
Dmitry A RodionovA.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
Institute for Information Transmission Problems · RUSanford Burnham Prebys Medical Discovery Institute · US

Funding

REGULATION OF GENE EXPRESSION - SMALL INTESTINER01DK030292 · NIDDK · WASHINGTON UNIVERSITY · PI JEFFREY I GORDON, ANDREI L OSTERMAN · 1986 to 2026
$6.5M
REGULATION OF GENE EXPRESSION IN THE SMALL INTESTINER37DK030292 · NIDDK · WASHINGTON UNIVERSITY · PI GORDON, JEFFREY I · 1993 to 2015
$4.0M
NIDDK NIH HHS R01 DK030292NIDDK NIH HHS R37 DK030292
6 · The paper itself

Abstract

The profiling of 16S rRNA revolutionized the exploration of microbiomes, allowing to describe community composition by enumerating relevant taxa and their abundances. However, taxonomic profiles alone lack interpretability in terms of bacterial metabolism, and their translation into functional characteristics of microbiomes is a challenging task. This bottom-up approach minimally requires a reference collection of major metabolic traits deduced from the complete genomes of individual organisms, an accurate method of projecting these traits from a reference collection to the analyzed amplicon sequence variants (ASVs), and, ultimately, an approach to a microbiome-wide aggregation of predicted individual traits into physiologically relevant cumulative metrics to characterize and compare multiple microbiome samples. In this study, we extended a previously introduced computational approach for the functional profiling of complex microbial communities, which is based on the concept of

Indexed as

16S rRNA sequencingmetabolic phenotypesmetagenomicmicrobiomephenotype diversitypredictive functional profiling

Identifiers

PMID34113324
PMCPMC8185038
OpenAlexW3165031558

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.