Evidence map›Paper›PMID 21672261›Full record

ArticleBMC microbiology2011

A large scale comparative genomic analysis reveals insertion sites for newly acquired genomic islands in bacterial genomes.

Pengcheng Du, Yinxue Yang, Haiying Wang, Di Liu, George F Gao, Chen Chen

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 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

6 authors at 5 institutions in 1 country.

Pengcheng DuNational Institute for Communicable Disease Control and Prevention, Center for Disease Control and Prevention/State Key Laboratory for Infectious Disease Prevention and Control, Beijing 102206, China.
Yinxue Yang
Haiying Wang
Di Liu
George F Gao
Chen Chen
State Key Laboratory of Infectious Disease Prevention and ControlComputer Network Information Center · CNInstitute of Microbiology · CNNational Institute for Communicable Disease Control and Prevention · CNNingxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial virulence enhancement and drug resistance are major threats to public health worldwide. Interestingly, newly acquired genomic islands (GIs) from horizontal transfer between different bacteria strains were found in Vibrio cholerae, Streptococcus suis, and Mycobacterium tuberculosis, which caused outbreak of epidemic diseases in recently years.

resultsUsing a large-scale comparative genomic analysis of 1088 complete genomes from all available bacteria (1009) and Archaea (79), we found that newly acquired GIs are often anchored around switch sites of GC-skew (sGCS). After calculating correlations between relative genomic distances of genomic islands to sGCSs and the evolutionary distances of the genomic islands themselves, we found that newly acquired genomic islands are closer to sGCSs than the old ones, indicating that regions around sGCSs are hotspots for genomic island insertion.

conclusionsBased on our results, we believe that genomic regions near sGCSs are hotspots for horizontal transfer of genomic islands, which may significantly affect key properties of epidemic disease-causing pathogens, such as virulence and adaption to new environments.

Indexed as

Genome, ArchaealGenome, BacterialGenomic IslandsArchaeaBacteriaDNA, ArchaealDNA, BacterialGene Transfer, HorizontalRecombination, GeneticDNA, ArchaealDNA, Bacterial

Identifiers

PMID21672261
PMCPMC3148964
OpenAlexW2075291788

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.