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Identification and analysis of genomic islands in Burkholderia cenocepacia AU 1054 with emphasis on pathogenicity islands

Overview of attention for article published in BMC Microbiology, March 2017
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Title
Identification and analysis of genomic islands in Burkholderia cenocepacia AU 1054 with emphasis on pathogenicity islands
Published in
BMC Microbiology, March 2017
DOI 10.1186/s12866-017-0986-6
Pubmed ID
Authors

Feng-Biao Guo, Lifeng Xiong, Kai-Yue Zhang, Chuan Dong, Fa-Zhan Zhang, Patrick C.Y. Woo

Abstract

Genomic islands (GIs) are genomic regions that reveal evidence of horizontal DNA transfer. They can code for many functions and may augment a bacterium's adaptation to its host or environment. GIs have been identified in strain J2315 of Burkholderia cenocepacia, whereas in strain AU 1054 there has been no published works on such regions according to our text mining and keyword search in Medline. In this study, we identified 21 GIs in AU 1054 by combining two computational tools. Feature analyses suggested that the predictions are highly reliable and hence illustrated the advantage of joint predictions by two independent methods. Based on putative virulence factors, four GIs were further identified as pathogenicity islands (PAIs). Through experiments of gene deletion mutants in live bacteria, two putative PAIs were confirmed, and the virulence factors involved were identified as lipA and copR. The importance of the genes lipA (from PAI 1) and copR (from PAI 2) for bacterial invasion and replication indicates that they are required for the invasive properties of B. cenocepacia and may function as virulence determinants for bacterial pathogenesis and host infection. This approach of in silico prediction of GIs and subsequent identification of potential virulence factors in the putative island regions with final validation using wet experiments could be used as an effective strategy to rapidly discover novel virulence factors in other bacterial species and strains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 5 13%
Student > Doctoral Student 3 8%
Other 3 8%
Researcher 3 8%
Other 7 18%
Unknown 10 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 34%
Biochemistry, Genetics and Molecular Biology 8 21%
Immunology and Microbiology 2 5%
Medicine and Dentistry 2 5%
Social Sciences 1 3%
Other 2 5%
Unknown 10 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2017.
All research outputs
#20,412,387
of 22,962,258 outputs
Outputs from BMC Microbiology
#2,701
of 3,204 outputs
Outputs of similar age
#269,335
of 308,946 outputs
Outputs of similar age from BMC Microbiology
#46
of 57 outputs
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