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Genomic analysis of endemic clones of toxigenic and non-toxigenic Corynebacterium diphtheriae in Belarus during and after the major epidemic in 1990s

Overview of attention for article published in BMC Genomics, November 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Genomic analysis of endemic clones of toxigenic and non-toxigenic Corynebacterium diphtheriae in Belarus during and after the major epidemic in 1990s
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4276-3
Pubmed ID
Authors

Steffen Grosse-Kock, Valentina Kolodkina, Edward C. Schwalbe, Jochen Blom, Andreas Burkovski, Paul A. Hoskisson, Sylvain Brisse, Darren Smith, Iain C. Sutcliffe, Leonid Titov, Vartul Sangal

Abstract

Diphtheria remains a major public health concern with multiple recent outbreaks around the world. Moreover, invasive non-toxigenic strains have emerged globally causing severe infections. A diphtheria epidemic in the former Soviet Union in the 1990s resulted in ~5000 deaths. In this study, we analysed the genome sequences of a collection of 93 C. diphtheriae strains collected during and after this outbreak (1996 - 2014) in a former Soviet State, Belarus to understand the evolutionary dynamics and virulence capacities of these strains. C. diphtheriae strains from Belarus belong to ten sequence types (STs). Two major clones, non-toxigenic ST5 and toxigenic ST8, encompassed 76% of the isolates that are associated with sore throat and diphtheria in patients, respectively. Core genomic diversity is limited within outbreak-associated ST8 with relatively higher mutation rates (8.9 × 10(-7) substitutions per strain per year) than ST5 (5.6 × 10(-7) substitutions per strain per year) where most of the diversity was introduced by recombination. A variation in the virulence gene repertoire including the presence of tox gene is likely responsible for pathogenic differences between different strains. However, strains with similar virulence potential can cause disease in some individuals and remain asymptomatic in others. Eight synonymous single nucleotide polymorphisms were observed between the tox genes of the vaccine strain PW8 and other toxigenic strains of ST8, ST25, ST28, ST41 and non-toxigenic tox gene-bearing (NTTB) ST40 strains. A single nucleotide deletion at position 52 in the tox gene resulted in the frameshift in ST40 isolates, converting them into NTTB strains. Non-toxigenic C. diphtheriae ST5 and toxigenic ST8 strains have been endemic in Belarus both during and after the epidemic in 1990s. A high vaccine coverage has effectively controlled diphtheria in Belarus; however, non-toxigenic strains continue to circulate in the population. Recombination is an important evolutionary force in shaping the genomic diversity in C. diphtheriae. However, the relative role of recombination and mutations in diversification varies between different clones.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 18%
Researcher 7 18%
Student > Master 4 10%
Other 3 8%
Student > Ph. D. Student 3 8%
Other 3 8%
Unknown 12 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 13%
Immunology and Microbiology 5 13%
Biochemistry, Genetics and Molecular Biology 5 13%
Business, Management and Accounting 2 5%
Medicine and Dentistry 2 5%
Other 5 13%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 December 2017.
All research outputs
#6,438,826
of 23,007,887 outputs
Outputs from BMC Genomics
#2,864
of 10,698 outputs
Outputs of similar age
#105,631
of 326,002 outputs
Outputs of similar age from BMC Genomics
#57
of 202 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 10,698 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,002 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.