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Cholera Outbreaks

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Attention for Chapter 366: Cholera Outbreaks
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Chapter title
Cholera Outbreaks
Chapter number 366
Book title
Cholera Outbreaks
Published in
Current topics in microbiology and immunology, March 2014
DOI 10.1007/82_2014_366
Pubmed ID
Book ISBNs
978-3-64-255403-2, 978-3-64-255404-9
Authors

Robins WP, Mekalanos JJ, William P. Robins, John J. Mekalanos

Abstract

Modern genomic and bioinformatic approaches have been applied to interrogate the V. cholerae genome, the role of genomic elements in cholera disease, and the origin, relatedness, and dissemination of epidemic strains. A universal attribute of choleragenic strains includes a repertoire of pathogenicity islands and virulence genes, namely the CTXϕ prophage and Toxin Co-regulated Pilus (TCP) in addition to other virulent genetic elements including those referred to as Seventh Pandemic Islands. During the last decade, the advent of Next Generation Sequencing (NGS) has provided highly resolved and often complete genomic sequences of epidemic isolates in addition to both clinical and environmental strains isolated from geographically unconnected regions. Genomic comparisons of these strains, as was completed during and following the Haitian outbreak in 2010, reveals that most epidemic strains appear closely related, regardless of region of origin. Non-O1 clinical or environmental strains may also possess some virulence islands, but phylogenic analysis of the core genome suggests they are more diverse and distantly related than those isolated during epidemics. Like Haiti, genomic studies that examine both the Vibrio core and pan-genome in addition to Single Nucleotide Polymorphisms (SNPs) conclude that a number of epidemics are caused by strains that closely resemble those in Asia, and often appear to originate there and then spread globally. The accumulation of SNPs in the epidemic strains over time can then be applied to better understand the evolution of the V. cholerae genome as an etiological agent.

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Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Brazil 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Ph. D. Student 7 17%
Student > Postgraduate 5 12%
Student > Bachelor 4 10%
Student > Master 2 5%
Other 5 12%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Biochemistry, Genetics and Molecular Biology 6 14%
Immunology and Microbiology 5 12%
Medicine and Dentistry 3 7%
Nursing and Health Professions 1 2%
Other 5 12%
Unknown 11 26%