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454 screening of individual MHC variation in an endemic island passerine

Overview of attention for article published in Immunogenetics, December 2014
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Title
454 screening of individual MHC variation in an endemic island passerine
Published in
Immunogenetics, December 2014
DOI 10.1007/s00251-014-0822-1
Pubmed ID
Authors

Catalina Gonzalez-Quevedo, Karl P. Phillips, Lewis G. Spurgin, David S. Richardson

Abstract

Genes of the major histocompatibility complex (MHC) code for receptors that are central to the adaptive immune response of vertebrates. These genes are therefore important genetic markers with which to study adaptive genetic variation in the wild. Next-generation sequencing (NGS) has increasingly been used in the last decade to genotype the MHC. However, NGS methods are highly prone to sequencing errors, and although several methodologies have been proposed to deal with this, until recently there have been no standard guidelines for the validation of putative MHC alleles. In this study, we used the 454 NGS platform to screen MHC class I exon 3 variation in a population of the island endemic Berthelot's pipit (Anthus berthelotii). We were able to characterise MHC genotypes across 309 individuals with high levels of repeatability. We were also able to determine alleles that had low amplification efficiencies, whose identification within individuals may thus be less reliable. At the population level we found lower levels of MHC diversity in Berthelot's pipit than in its widespread continental sister species the tawny pipit (Anthus campestris), and observed trans-species polymorphism. Using the sequence data, we identified signatures of gene conversion and evidence of maintenance of functionally divergent alleles in Berthelot's pipit. We also detected positive selection at 10 codons. The present study therefore shows that we have an efficient method for screening individual MHC variation across large datasets in Berthelot's pipit, and provides data that can be used in future studies investigating spatio-temporal patterns and scales of selection on the MHC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Portugal 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 30%
Researcher 10 14%
Student > Master 8 12%
Student > Doctoral Student 6 9%
Student > Bachelor 6 9%
Other 13 19%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 64%
Biochemistry, Genetics and Molecular Biology 9 13%
Engineering 2 3%
Medicine and Dentistry 2 3%
Psychology 1 1%
Other 2 3%
Unknown 9 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 04 February 2020.
All research outputs
#14,803,937
of 22,792,160 outputs
Outputs from Immunogenetics
#924
of 1,202 outputs
Outputs of similar age
#198,246
of 353,377 outputs
Outputs of similar age from Immunogenetics
#4
of 9 outputs
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