2016
DOI: 10.1111/1755-0998.12612
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Testing genotyping strategies for ultra‐deep sequencing of a co‐amplifying gene family: MHC class I in a passerine bird

Abstract: Characterization of highly duplicated genes, such as genes of the major histocompatibility complex (MHC), where multiple loci often co-amplify, has until recently been hindered by insufficient read depths per amplicon. Here, we used ultra-deep Illumina sequencing to resolve genotypes at exon 3 of MHC class I genes in the sedge warbler (Acrocephalus schoenobaenus). We sequenced 24 individuals in two replicates and used this data, as well as a simulated data set, to test the effect of amplicon coverage (range: 5… Show more

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Cited by 48 publications
(75 citation statements)
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“…Compared to other gene systems, the combination of the highly dynamic evolution of the MHC system (occurrence of many duplicated genes, high rates of recombination and gene conversion, and high levels of polymorphism) and errors generated during PCR and sequencing make it difficult to discriminate artefacts from true MHC alleles (Babik, ; Burri, Promerova, Goebel, & Fumagalli, ). However, the advent of high‐throughput sequencing technology coupled with recent filtering procedures specifically designed for the MHC system have considerably helped to gain reliable genotypes (Babik, Taberlet, Ejsmond, & Radwan, ; Biedrzycka, Sebastian, Migalska, Westerdahl, & Radwan, ; Ferrandiz‐Rovira, Bigot, Allaine, Callait‐Cardinal, & Cohas, ; Gaigher et al, ; Grogan, McGinnis, Sauther, Cuozzo, & Drea, ; Lighten et al, ; Oomen, Gillett, & Kyle, ; Promerová et al, ; Rekdal, Anmarkrud, Johnsen, & Lifjeld, ; Sebastian, Herdegen, Migalska, & Radwan, ; Sommer et al, ; Stutz & Bolnick, ). Such technology also enables the sequencing of thousands of samples in parallel, which can drastically improve sample sizes for association studies.…”
Section: Discussionmentioning
confidence: 99%
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“…Compared to other gene systems, the combination of the highly dynamic evolution of the MHC system (occurrence of many duplicated genes, high rates of recombination and gene conversion, and high levels of polymorphism) and errors generated during PCR and sequencing make it difficult to discriminate artefacts from true MHC alleles (Babik, ; Burri, Promerova, Goebel, & Fumagalli, ). However, the advent of high‐throughput sequencing technology coupled with recent filtering procedures specifically designed for the MHC system have considerably helped to gain reliable genotypes (Babik, Taberlet, Ejsmond, & Radwan, ; Biedrzycka, Sebastian, Migalska, Westerdahl, & Radwan, ; Ferrandiz‐Rovira, Bigot, Allaine, Callait‐Cardinal, & Cohas, ; Gaigher et al, ; Grogan, McGinnis, Sauther, Cuozzo, & Drea, ; Lighten et al, ; Oomen, Gillett, & Kyle, ; Promerová et al, ; Rekdal, Anmarkrud, Johnsen, & Lifjeld, ; Sebastian, Herdegen, Migalska, & Radwan, ; Sommer et al, ; Stutz & Bolnick, ). Such technology also enables the sequencing of thousands of samples in parallel, which can drastically improve sample sizes for association studies.…”
Section: Discussionmentioning
confidence: 99%
“…Such technology also enables the sequencing of thousands of samples in parallel, which can drastically improve sample sizes for association studies. To date, Illumina MiSeq technology is the method of choice and has proven to bring a great value for MHC genotyping due to its high sequencing depth (Gaigher et al, ; Herdegen, Babik, & Radwan, ; Lighten et al, ), even in species with a large number of co‐amplified alleles (Biedrzycka et al, ). Finally, coupled with high sequencing coverage, family‐based studies can significantly contribute to accurate MHC genotyping (Gaigher et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Ultra‐deep sequencing technologies that become recently available are essential for working with such highly complex gene families (Biedrzycka, Sebastian et al., ). We used amplicon sequencing with Illumina Miseq technology to assess the diversity of MHC class I exon 3 in sedge warbler.…”
Section: Methodsmentioning
confidence: 99%
“…Processing of Illumina data was based on the earlier work of Biedrzycka, Sebastian et al. (), who found that among four tested methods, the adjustable clustering method (Sebastian, Herdegen, Migalska, & Radwan, ) gave the most accurate genotyping results. All amplicon sequencing analysis tools used are available at http://evobiolab.biol.amu.edu.pl/amplisat/.…”
Section: Methodsmentioning
confidence: 99%
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