Evidence map›Paper›PMID 30535155›Full record

ArticleThe Journal of infectious diseases2019

In Silico and Experimental Evaluation of Primer Sets for Species-Level Resolution of the Vaginal Microbiota Using 16S Ribosomal RNA Gene Sequencing.

William J Van Der Pol, Ranjit Kumar, Casey D Morrow, Eugene E Blanchard, Christopher M Taylor, David H Martin, Elliot J Lefkowitz, Christina A Muzny

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02272231 (Pathogenesis of Bacterial Vaginosis in Women Who Have Sex With Women), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.6field-weighted citation impact, top 10% 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.

NCT02272231 completednot on this map

Pathogenesis of Bacterial Vaginosis in Women Who Have Sex With Women

TypeobservationalSponsorUniversity of Alabama at BirminghamRan2014 to 2019Enrolled42ConditionsVaginosis, Bacterial
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 47 citations in OpenAlex.

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  19. Group BFrontiers in cellular and infection microbiology · 2024
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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

8 authors at 3 institutions in 1 country.

William J Van Der PolBiomedical Informatics, Center for Clinical and Translational Sciences, University of Alabama at Birmingham.
Ranjit KumarBiomedical Informatics, Center for Clinical and Translational Sciences, University of Alabama at Birmingham.
Casey D MorrowDepartment of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham.
Eugene E BlanchardDepartment of Microbiology, Immunology, and Parasitology, Louisiana State University Health Sciences Center, New Orleans.
Christopher M TaylorDepartment of Microbiology, Immunology, and Parasitology, Louisiana State University Health Sciences Center, New Orleans.
David H MartinDepartment of Epidemiology, Tulane University School of Public Health, New Orleans.
Elliot J LefkowitzBiomedical Informatics, Center for Clinical and Translational Sciences, University of Alabama at Birmingham.
Christina A MuznyDivision of Infectious Diseases, University of Alabama at Birmingham.
University of Alabama at Birmingham · USLouisiana State University Health Sciences Center New Orleans · USTulane University · US

Funding

UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
Pathogenesis of Bacterial Vaginosis in Women Who Have Sex with WomenK23AI106957 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MUZNY, CHRISTINA A · 2014 to 2018
$873k
6 · The paper itself

Abstract

Background: Identification of bacteria in human vaginal specimens is commonly performed using 16S ribosomal RNA (rRNA) gene sequences. However, studies utilize different 16S primer sets, sequence databases, and parameters for sample and database clustering. Our goal was to assess the ability of these methods to detect common species of vaginal bacteria. Methods: We performed an in silico analysis of 16S rRNA gene primer sets, targeting different hypervariable regions. Using vaginal samples from women with bacterial vaginosis, we sequenced 16S genes using the V1-V3, V3-V4, and V4 primer sets. For analysis, we used an extended Greengenes database including 16S gene sequences from vaginal bacteria not already present. We compared results with those obtained using the SILVA 16S database. Using multiple database and sample clustering parameters, each primer set's ability to detect common vaginal bacteria at the species level was determined. We also compared these methods to the use of DADA2 for denoising and clustering of sequence reads. Results: V4 sequence reads clustered at 99% identity and using the 99% clustered, extended Greengenes database provided optimal species-level identification of vaginal bacteria. Conclusions: This study is a first step toward standardizing methods for 16S rRNA gene sequencing and bioinformatics analysis of vaginal microbiome data.

Indexed as

MicrobiotaAmidohydrolasesBacteriaComputational BiologyComputer SimulationDatabases, GeneticDNA, BacterialFemaleGenes, BacterialHigh-Throughput Nucleotide SequencingHumansIntercellular Signaling Peptides and ProteinsPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAVaginaAmidohydrolasesdimethylargininaseDNA, BacterialIntercellular Signaling Peptides and ProteinsRNA, Ribosomal, 16S

Identifiers

PMID30535155
PMCPMC6941453
OpenAlexW2888189017

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.