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Large-scale MHC class II genotyping of a wild lemur population by next generation sequencing

Overview of attention for article published in Immunogenetics, September 2012
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Title
Large-scale MHC class II genotyping of a wild lemur population by next generation sequencing
Published in
Immunogenetics, September 2012
DOI 10.1007/s00251-012-0649-6
Pubmed ID
Authors

Elise Huchard, Christina Albrecht, Susanne Schliehe-Diecks, Alice Baniel, Christian Roos, Peter M. Kappeler Peter, Markus Brameier

Abstract

The critical role of major histocompatibility complex (MHC) genes in disease resistance, along with their putative function in sexual selection, reproduction and chemical ecology, make them an important genetic system in evolutionary ecology. Studying selective pressures acting on MHC genes in the wild nevertheless requires population-wide genotyping, which has long been challenging because of their extensive polymorphism. Here, we report on large-scale genotyping of the MHC class II loci of the grey mouse lemur (Microcebus murinus) from a wild population in western Madagascar. The second exons from MHC-DRB and -DQB of 772 and 672 individuals were sequenced, respectively, using a 454 sequencing platform, generating more than 800,000 reads. Sequence analysis, through a stepwise variant validation procedure, allowed reliable typing of more than 600 individuals. The quality of our genotyping was evaluated through three independent methods, namely genotyping the same individuals by both cloning and 454 sequencing, running duplicates, and comparing parent-offspring dyads; each displaying very high accuracy. A total of 61 (including 20 new) and 60 (including 53 new) alleles were detected at DRB and DQB genes, respectively. Both loci were non-duplicated, in tight linkage disequilibrium and in Hardy-Weinberg equilibrium, despite the fact that sequence analysis revealed clear evidence of historical selection. Our results highlight the potential of 454 sequencing technology in attempts to investigate patterns of selection shaping MHC variation in contemporary populations. The power of this approach will nevertheless be conditional upon strict quality control of the genotyping data.

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The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Belgium 1 1%
Brazil 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Researcher 24 30%
Student > Doctoral Student 7 9%
Student > Postgraduate 5 6%
Student > Master 5 6%
Other 8 10%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 71%
Biochemistry, Genetics and Molecular Biology 5 6%
Environmental Science 3 4%
Medicine and Dentistry 3 4%
Social Sciences 2 3%
Other 4 5%
Unknown 6 8%
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 24 October 2014.
All research outputs
#13,719,317
of 22,766,595 outputs
Outputs from Immunogenetics
#893
of 1,203 outputs
Outputs of similar age
#95,070
of 169,303 outputs
Outputs of similar age from Immunogenetics
#3
of 5 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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