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Genetic Characterization of Vibrio cholerae O1 isolates from outbreaks between 2011 and 2015 in Tanzania

Overview of attention for article published in BMC Infectious Diseases, February 2017
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Title
Genetic Characterization of Vibrio cholerae O1 isolates from outbreaks between 2011 and 2015 in Tanzania
Published in
BMC Infectious Diseases, February 2017
DOI 10.1186/s12879-017-2252-9
Pubmed ID
Authors

Yazid Kachwamba, A. A. Mohammed, H. Lukupulo, L. Urio, M. Majigo, F. Mosha, M. Matonya, R. Kishimba, J. Mghamba, J. Lusekelo, S. Nyanga, M. Almeida, S. Li, D. Domman, S.Y. Massele, O. C. Stine

Abstract

Cholera outbreaks have occurred in Tanzania since 1974. To date, the genetic epidemiology of these outbreaks has not been assessed. 96 Vibrio cholerae O1 isolates from five regions were characterized, and their genetic relatedness assessed using multi-locus variable-number tandem-repeat analysis (MLVA) and whole genome sequencing (WGS). Of the 48 MLVA genotypes observed, 3 were genetically unrelated to any others, while the remaining 45 genotypes separated into three MLVA clonal complexes (CCs) - each comprised of genotypes differing by a single allelic change. In Kigoma, two separate outbreaks, 4 months apart (January and May, 2015), were each caused by genetically distinct strains by MLVA and WGS. Remarkably, one MLVA CC contained isolates from both the May outbreak and ones from the 2011/2012 outbreak in Dar-es-Salaam. However, WGS revealed the isolates from the two outbreaks to be distinct clades. The outbreak that started in August 2015 in Dar-es-Salaam and spread to Morogoro, Singida and Mara was comprised of a single MLVA CC and WGS clade. Isolates from within an outbreak were closely related differing at fewer than 5 nucleotides. All isolates were part of the 3(rd) wave of the 7(th) pandemic and were found in four clades related to isolates from Kenya and Asia. We conclude that genetically related V. cholerae cluster in outbreaks, and distinct strains circulate simultaneously.

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Ph. D. Student 7 13%
Researcher 4 7%
Student > Bachelor 4 7%
Student > Doctoral Student 3 6%
Other 12 22%
Unknown 14 26%
Readers by discipline Count As %
Medicine and Dentistry 11 20%
Biochemistry, Genetics and Molecular Biology 6 11%
Immunology and Microbiology 4 7%
Environmental Science 3 6%
Agricultural and Biological Sciences 3 6%
Other 11 20%
Unknown 16 30%