Evidence map›Paper›PMID 25137186›Full record

ArticlePloS one2014

CTAG-containing cleavage site profiling to delineate Salmonella into natural clusters.

Le Tang, Wei-Qiao Liu, Xin Fang, Qiang Sun, Song-Ling Zhu, Chun-Xiao Wang, Xiao-Yu Wang, Yong-Guo Li, Da-Ling Zhu, Kenneth E Sanderson and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 9 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

13 authors at 3 institutions in 2 countries.

Le TangGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Wei-Qiao LiuDepartment of Microbiology and Infectious Diseases, University of Calgary, Calgary, Canada.
Xin FangGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Qiang SunGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Song-Ling ZhuGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Chun-Xiao WangGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Xiao-Yu WangGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Yong-Guo LiHMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China; Department of Infectious Diseases of First Affiliated Hospital, Harbin Medical University, Harbin, China.
Da-Ling ZhuDepartment of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; College of Pharmacy, Daqing Campus, Harbin Medical University, Daqing, China.
Kenneth E SandersonDepartment of Microbiology and Infectious Diseases, University of Calgary, Calgary, Canada.
Randal N JohnstonDepartment of Biochemistry and Molecular Biology, University of Calgary, Calgary, Canada.
Gui-Rong LiuGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
Shu-Lin LiuGenomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China; Department of Biopharmaceutical Sciences, Harbin Medical University, Harbin, China; HMU-UCFM Centre for Infection and Genomics, Harbin Medical University, Harbin, China; Department of Microbiology and Infectious Diseases, University of Calgary, Calgary, Canada; Department of Infectious Diseases of First Affiliated Hospital, Harbin Medical University, Harbin, China.
Harbin Medical University · CNUniversity of Calgary · CAFirst Affiliated Hospital of Harbin Medical University · CN

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundThe bacterial genus Salmonella contains thousands of serotypes that infect humans or other hosts, causing mild gastroenteritis to potentially fatal systemic infections in humans. Pathogenically distinct Salmonella serotypes have been classified as individual species or as serological variants of merely one or two species, causing considerable confusion in both research and clinical settings. This situation reflects a long unanswered question regarding whether the Salmonella serotypes exist as discrete genetic clusters (natural species) of organisms or as phenotypic (e.g. pathogenic) variants of a single (or two) natural species with a continuous spectrum of genetic divergence among them. Our recent work, based on genomic sequence divergence analysis, has demonstrated that genetic boundaries exist among Salmonella serotypes, circumscribing them into clear-cut genetic clusters of bacteria. METHODOLOGIES/PRINCIPAL

findingsTo further test the genetic boundary concept for delineating Salmonella into clearly defined natural lineages (e.g., species), we sampled a small subset of conserved genomic DNA sequences, i.e., the endonuclease cleavage sites that contain the highly conserved CTAG sequence such as TCTAGA for XbaI. We found that the CTAG-containing cleavage sequence profiles could be used to resolve the genetic boundaries as reliably and efficiently as whole genome sequence comparisons but with enormously reduced requirements for time and resources.

conclusionsProfiling of CTAG sequence subsets reflects genetic boundaries among Salmonella lineages and can delineate these bacteria into discrete natural clusters.

Indexed as

Genome, BacterialPhylogenyBase SequenceChromosome MappingConserved SequenceDeoxyribonucleases, Type II Site-SpecificDNA, BacterialDNA CleavageHumansMolecular Sequence DataMolecular TypingMultigene FamilySalmonellaSerotypingTerminology as TopicCTAG-specific type II deoxyribonucleasesDeoxyribonucleases, Type II Site-SpecificDNA, Bacterial

Identifiers

PMID25137186
PMCPMC4138082
OpenAlexW2005258628

What OpenQuestion holds

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Registered trials

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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.