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Molecular evolution and population genetics of a Gram-negative binding protein gene in the malaria vector Anopheles gambiae (sensu lato)

Overview of attention for article published in Parasites & Vectors, September 2016
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Title
Molecular evolution and population genetics of a Gram-negative binding protein gene in the malaria vector Anopheles gambiae (sensu lato)
Published in
Parasites & Vectors, September 2016
DOI 10.1186/s13071-016-1800-2
Pubmed ID
Authors

Patrícia Salgueiro, Ana Sofia Lopes, Cristina Mendes, Jacques Derek Charlwood, Ana Paula Arez, João Pinto, Henrique Silveira

Abstract

Clarifying the role of the innate immune system of the malaria vector Anopheles gambiae is a potential way to block the development of the Plasmodium parasites. Pathogen recognition is the first step of innate immune response, where pattern recognition proteins like GNBPs play a central role. We analysed 70 sequences of the protein coding gene GNBPB2 from two species, Anopheles gambiae (s.s.) and An. coluzzii, collected in six African countries. We detected 135 segregating sites defining 63 distinct haplotypes and 30 proteins. Mean nucleotide diversity (π) was 0.014 for both species. We found no significant genetic differentiation between species, but a significant positive correlation between genetic differentiation and geographical distance among populations. Species status seems to contribute less for the molecular differentiation in GNBPB2 than geographical region in the African continent (West and East). Purifying selection was found to be the most common form of selection, as in many other immunity-related genes. Diversifying selection may be also operating in the GNBPB2 gene.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 4 27%
Student > Bachelor 2 13%
Librarian 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 47%
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 1 7%
Immunology and Microbiology 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 October 2016.
All research outputs
#14,272,830
of 22,889,074 outputs
Outputs from Parasites & Vectors
#2,825
of 5,476 outputs
Outputs of similar age
#183,785
of 321,669 outputs
Outputs of similar age from Parasites & Vectors
#50
of 104 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,476 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 321,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.