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Genotyping and Phylogenetic Analysis of Yersinia pestis by MLVA: Insights into the Worldwide Expansion of Central Asia Plague Foci

Overview of attention for article published in PLOS ONE, June 2009
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Title
Genotyping and Phylogenetic Analysis of Yersinia pestis by MLVA: Insights into the Worldwide Expansion of Central Asia Plague Foci
Published in
PLOS ONE, June 2009
DOI 10.1371/journal.pone.0006000
Pubmed ID
Authors

Yanjun Li, Yujun Cui, Yolande Hauck, Mikhail E. Platonov, Erhei Dai, Yajun Song, Zhaobiao Guo, Christine Pourcel, Svetlana V. Dentovskaya, Andrey P. Anisimov, Ruifu Yang, Gilles Vergnaud

Abstract

The species Yersinia pestis is commonly divided into three classical biovars, Antiqua, Medievalis, and Orientalis, belonging to subspecies pestis pathogenic for human and the (atypical) non-human pathogenic biovar Microtus (alias Pestoides) including several non-pestis subspecies. Recent progress in molecular typing methods enables large-scale investigations in the population structure of this species. It is now possible to test hypotheses about its evolution which were proposed decades ago. For instance the three classical biovars of different geographical distributions were suggested to originate from Central Asia. Most investigations so far have focused on the typical pestis subspecies representatives found outside of China, whereas the understanding of the emergence of this human pathogen requires the investigation of strains belonging to subspecies pestis from China and to the Microtus biovar.

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Geographical breakdown

Country Count As %
Norway 1 2%
Sweden 1 2%
Russia 1 2%
Uzbekistan 1 2%
United States 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Researcher 11 23%
Professor 4 8%
Professor > Associate Professor 4 8%
Student > Master 4 8%
Other 9 19%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 50%
Medicine and Dentistry 5 10%
Biochemistry, Genetics and Molecular Biology 5 10%
Immunology and Microbiology 4 8%
Environmental Science 2 4%
Other 5 10%
Unknown 3 6%