Evidence map›Paper›PMID 27582514›Full record

ArticleJournal of clinical microbiology2016

Identification and Analysis of Informative Single Nucleotide Polymorphisms in 16S rRNA Gene Sequences of the Bacillus cereus Group.

Janetta R Hakovirta, Samantha Prezioso, David Hodge, Segaran P Pillai, Linda M Weigel

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  12. Single Core Genome Sequencing for Detection of bothInternational journal of environmental research and public health · 2019
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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

5 authors at 3 institutions in 1 country.

Janetta R HakovirtaNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Samantha PreziosoNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
David HodgeScience and Technology Directorate, U.S. Department of Homeland Security, Washington, DC, USA.
Segaran P PillaiOffice of Laboratory Science and Safety, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
Linda M WeigelNational Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA lweigel@cdc.gov.ORCID 0000-0001-9830-6662
Centers for Disease Control and Prevention · USUnited States Department of Homeland Security · USUnited States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of 16S rRNA genes is important for phylogenetic classification of known and novel bacterial genera and species and for detection of uncultivable bacteria. PCR amplification of 16S rRNA genes with universal primers produces a mixture of amplicons from all rRNA operons in the genome, and the sequence data generally yield a consensus sequence. Here we describe valuable data that are missing from consensus sequences, variable effects on sequence data generated from nonidentical 16S rRNA amplicons, and the appearance of data displayed by different software programs. These effects are illustrated by analysis of 16S rRNA genes from 50 strains of the Bacillus cereus group, i.e., Bacillus anthracis, Bacillus cereus, Bacillus mycoides, and Bacillus thuringiensis These species have 11 to 14 rRNA operons, and sequence variability occurs among the multiple 16S rRNA genes. A single nucleotide polymorphism (SNP) previously reported to be specific to B. anthracis was detected in some B. cereus strains. However, a different SNP, at position 1139, was identified as being specific to B. anthracis, which is a biothreat agent with high mortality rates. Compared with visual analysis of the electropherograms, basecaller software frequently missed gene sequence variations or could not identify variant bases due to overlapping basecalls. Accurate detection of 16S rRNA gene sequences that include intragenomic variations can improve discrimination among closely related species, improve the utility of 16S rRNA databases, and facilitate rapid bacterial identification by targeted DNA sequence analysis or by whole-genome sequencing performed by clinical or reference laboratories.

Indexed as

Polymorphism, Single NucleotideBacillusComputational BiologyHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID27582514
PMCPMC5078553
OpenAlexW2517799262

What OpenQuestion holds

Textmetadata
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.