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Global evolution and phylogeography of Brucella melitensis strains

Overview of attention for article published in BMC Genomics, May 2018
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Title
Global evolution and phylogeography of Brucella melitensis strains
Published in
BMC Genomics, May 2018
DOI 10.1186/s12864-018-4762-2
Pubmed ID
Authors

Sergey V. Pisarenko, Dmitry A. Kovalev, Anna S. Volynkina, Dmitry G. Ponomarenko, Diana V. Rusanova, Nina V. Zharinova, Anna A. Khachaturova, Lyudmila E. Tokareva, Irina G. Khvoynova, Alexander N. Kulichenko

Abstract

Brucellosis is a bacterial zoonotic disease. Annually in the world more than 500,000 new cases of brucellosis in humans are registered. In this study, we propose an evolutionary model of the historical distribution of B. melitensis based on the full-genomic SNP analysis of 98 strains. We performed an analysis of the SNP of the complete genomes of 98 B. melitensis strains isolated in different geographical regions of the world to obtain relevant information on the population structure, genetic diversity and the evolution history of the species. Using genomic sequences of 21 strains of B. melitensis isolated in Russia and WGS data from the NCBI database, it was possible to identify five main genotypes and 13 species genotypes for analysis. Data analysis based on the Bayesian Phylogenetics and Phylogeography method allowed to determine the regions of geographical origin and the expected pathways of distribution of the main lines (genotypes and subgenotypes) of the pathogen. Within the framework of our study, the model of global evolution and phylogeography of B. melitensis strains isolated in various regions of the planet was proposed for the first time. The sets of unique specific SNPs described in our study, for all identified genotypes and subgenotypes, can be used to develop new bacterial typing and identification systems for B. melitensis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Bachelor 6 12%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 3 6%
Professor > Associate Professor 3 6%
Other 10 20%
Unknown 16 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 16%
Agricultural and Biological Sciences 7 14%
Veterinary Science and Veterinary Medicine 5 10%
Immunology and Microbiology 4 8%
Social Sciences 2 4%
Other 5 10%
Unknown 20 39%
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 12 May 2018.
All research outputs
#17,950,284
of 23,049,027 outputs
Outputs from BMC Genomics
#7,613
of 10,699 outputs
Outputs of similar age
#236,358
of 326,022 outputs
Outputs of similar age from BMC Genomics
#169
of 250 outputs
Altmetric has tracked 23,049,027 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,699 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.