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1.
Mol Ecol Resour ; 16(6): 1353-1364, 2016 Nov.
Article in English | MEDLINE | ID: mdl-27176619

ABSTRACT

With their direct link to individual fitness, genes of the major histocompatibility complex (MHC) are a popular system to study the evolution of adaptive genetic diversity. However, owing to the highly dynamic evolution of the MHC region, the isolation, characterization and genotyping of MHC genes remain a major challenge. While high-throughput sequencing technologies now provide unprecedented resolution of the high allelic diversity observed at the MHC, in many species, it remains unclear (i) how alleles are distributed among MHC loci, (ii) whether MHC loci are linked or segregate independently and (iii) how much copy number variation (CNV) can be observed for MHC genes in natural populations. Here, we show that the study of allele segregation patterns within families can provide significant insights in this context. We sequenced two MHC class I (MHC-I) loci in 1267 European barn owls (Tyto alba), including 590 offspring from 130 families using Illumina MiSeq technology. Coupled with a high per-individual sequencing coverage (~3000×), the study of allele segregation patterns within families provided information on three aspects of the architecture of MHC-I variation in barn owls: (i) extensive sharing of alleles among loci, (ii) strong linkage of MHC-I loci indicating tandem architecture and (iii) the presence of CNV in the barn owl MHC-I. We conclude that the additional information that can be gained from high-coverage amplicon sequencing by investigating allele segregation patterns in families not only helps improving the accuracy of MHC genotyping, but also contributes towards enhanced analyses in the context of MHC evolutionary ecology.


Subject(s)
Genetic Variation , Histocompatibility Antigens Class I/genetics , Major Histocompatibility Complex , Strigiformes/genetics , Alleles , Animals , Evolution, Molecular , High-Throughput Nucleotide Sequencing , Sequence Analysis, DNA
2.
J Evol Biol ; 28(12): 2248-63, 2015 12.
Article in English | MEDLINE | ID: mdl-26348652

ABSTRACT

Ecologically based divergent selection is a factor that could drive reproductive isolation even in the presence of gene flow. Population pairs arrayed along a continuum of divergence provide a good opportunity to address this issue. Here, we used a combination of mating trials, experimental crosses and population genetic analyses to investigate the evolution of reproductive isolation between two closely related species of lampreys with distinct life histories. We used microsatellite markers to genotype over 1000 individuals of the migratory parasitic river lamprey (Lampetra fluviatilis) and freshwater-resident nonparasitic brook lamprey (Lampetra planeri) distributed in 10 sympatric and parapatric population pairs in France. Mating trials, parentage analyses and artificial fertilizations demonstrated a low level of reproductive isolation between species even though size-assortative mating may contribute to isolation. Most parapatric population pairs were strongly differentiated due to the joint effects of geographic distance and barriers to migration. In contrast, we found variable levels of gene flow between sympatric populations ranging from panmixia to moderate differentiation, which indicates a gradient of divergence with some population pairs that may correspond to alternative morphs or ecotypes of a single species and others that remain partially isolated. Ecologically based divergent selection may explain these variable levels of divergence among sympatric population pairs, but incomplete genome swamping following secondary contact could have also played a role. Overall, this study illustrates how highly differentiated phenotypes can be maintained despite high levels of gene flow that limit the progress towards speciation.


Subject(s)
Gene Flow , Lampreys/physiology , Reproduction , Animals , Bayes Theorem , Cluster Analysis , Genetic Markers , Lampreys/classification , Lampreys/genetics , Microsatellite Repeats/genetics , Species Specificity
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