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Genome-Wide Patterns of Genetic Polymorphism and Signatures of Selection in Plasmodium vivax

Overview of attention for article published in Genome Biology & Evolution, December 2014
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Article details
Title
Genome-Wide Patterns of Genetic Polymorphism and Signatures of Selection in Plasmodium vivax
Published in
Genome Biology & Evolution, December 2014
DOI 10.1093/gbe/evu267
Pubmed ID
Authors
Abstract

Plasmodium vivax is the most prevalent human malaria parasite outside of Africa. Yet, studies aimed to identify genes with signatures consistent with natural selection are rare. Here, we present a comparative analysis of the pattern of genetic variation of five sequenced isolates of P. vivax and its divergence with two closely related species, Plasmodium cynomolgi and Plasmodium knowlesi, using a set of orthologous genes. In contrast to Plasmodium falciparum, the parasite that causes the most lethal form of human malaria, we did not find significant constraints on the evolution of synonymous sites genome wide in P. vivax. The comparative analysis of polymorphism and divergence across loci allowed us to identify 87 genes with patterns consistent with positive selection, including genes involved in the "exportome" of P. vivax, which are potentially involved in evasion of the host immune system. Nevertheless, we have found a pattern of polymorphism genome wide that is consistent with a significant amount of constraint on the replacement changes and prevalent negative selection. Our analyses also show that silent polymorphism tends to be larger toward the ends of the chromosomes, where many genes involved in antigenicity are located, suggesting that natural selection acts not only by shaping the patterns of variation within the genes but it also affects genome organization.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 17 22%
Student > Ph. D. Student 15 19%
Researcher 13 17%
Other 5 6%
Student > Doctoral Student 4 5%
Other 10 13%
Unknown 14 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 30 38%
Biochemistry, Genetics and Molecular Biology 13 17%
Medicine and Dentistry 9 12%
Immunology and Microbiology 5 6%
Arts and Humanities 1 1%
Other 3 4%
Unknown 17 22%
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 19 December 2014.
All research outputs
#31,186,061
of 34,364,397 outputs
Outputs from Genome Biology & Evolution
#3,597
of 3,691 outputs
Outputs of similar age
#348,710
of 396,166 outputs
Outputs of similar age from Genome Biology & Evolution
#72
of 75 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,691 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.