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The genomes of three stocks comprising the most widely utilized live sporozoite Theileria parva vaccine exhibit very different degrees and patterns of sequence divergence

Overview of attention for article published in BMC Genomics, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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1 news outlet
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2 blogs
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13 X users

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62 Mendeley
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Title
The genomes of three stocks comprising the most widely utilized live sporozoite Theileria parva vaccine exhibit very different degrees and patterns of sequence divergence
Published in
BMC Genomics, September 2015
DOI 10.1186/s12864-015-1910-9
Pubmed ID
Authors

Martin Norling, Richard P. Bishop, Roger Pelle, Weihong Qi, Sonal Henson, Elliott F. Drábek, Kyle Tretina, David Odongo, Stephen Mwaura, Thomas Njoroge, Erik Bongcam-Rudloff, Claudia A. Daubenberger, Joana C. Silva

Abstract

There are no commercially available vaccines against human protozoan parasitic diseases, despite the success of vaccination-induced long-term protection against infectious diseases. East Coast fever, caused by the protist Theileria parva, kills one million cattle each year in sub-Saharan Africa, and contributes significantly to hunger and poverty in the region. A highly effective, live, multi-isolate vaccine against T. parva exists, but its component isolates have not been characterized. Here we sequence and compare the three component T. parva stocks within this vaccine, the Muguga Cocktail, namely Muguga, Kiambu5 and Serengeti-transformed, aiming to identify genomic features that contribute to vaccine efficacy. We find that Serengeti-transformed, originally isolated from the wildlife carrier, the African Cape buffalo, is remarkably and unexpectedly similar to the Muguga isolate. The 420 detectable non-synonymous SNPs were distributed among only 53 genes, primarily subtelomeric antigens and antigenic families. The Kiambu5 isolate is considerably more divergent, with close to 40,000 SNPs relative to Muguga, including >8,500 non-synonymous mutations distributed among >1,700 (42.5 %) of the predicted genes. These genetic markers of the component stocks can be used to characterize the composition of new batches of the Muguga Cocktail. Differences among these three isolates, while extensive, represent only a small proportion of the genetic variation in the entire species. Given the efficacy of the Muguga Cocktail in inducing long-lasting protection against infections in the field, our results suggest that whole-organism vaccines against parasitic diseases can be highly efficacious despite considerable genome-wide differences relative to the isolates against which they protect.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Master 8 13%
Student > Ph. D. Student 6 10%
Student > Bachelor 6 10%
Student > Postgraduate 6 10%
Other 10 16%
Unknown 14 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Veterinary Science and Veterinary Medicine 12 19%
Medicine and Dentistry 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Philosophy 2 3%
Other 6 10%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 February 2022.
All research outputs
#1,278,919
of 23,114,117 outputs
Outputs from BMC Genomics
#244
of 10,708 outputs
Outputs of similar age
#19,458
of 275,396 outputs
Outputs of similar age from BMC Genomics
#7
of 329 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% 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 275,396 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.