Abstract

BackgroundAcross species, diversity at the Major Histocompatibility Complex (MHC) is critical to disease resistance and population health; however, use of MHC diversity to quantify the genetic health of populations has been hampered by the extreme variation found in MHC genes. Next generation sequencing (NGS) technology generates sufficient data to genotype even the most diverse species, but workflows for distinguishing artifacts from alleles are still under development. We used NGS to evaluate the MHC diversity of over 300 captive and wild ring-tailed lemurs (Lemur catta: Primates: Mammalia). We modified a published workflow to address errors that arise from deep sequencing individuals and tested for evidence of selection at the most diverse MHC genes.ResultsIn addition to evaluating the accuracy of 454 Titanium and Ion Torrent PGM for genotyping large populations at hypervariable genes, we suggested modifications to improve current methods of allele calling. Using these modifications, we genotyped 302 out of 319 individuals, obtaining an average sequencing depth of over 1000 reads per amplicon. We identified 55 MHC-DRB alleles, 51 of which were previously undescribed, and provide the first sequences of five additional MHC genes: DOA, DOB, DPA, DQA, and DRA. The additional five MHC genes had one or two alleles each with little sequence variation; however, the 55 MHC-DRB alleles showed a high dN/dS ratio and trans-species polymorphism, indicating a history of positive selection. Because each individual possessed 1–7 MHC-DRB alleles, we suggest that ring-tailed lemurs have four, putatively functional, MHC-DRB copies.ConclusionsIn the future, accurate genotyping methods for NGS data will be critical to assessing genetic variation in non-model species. We recommend that future NGS studies increase the proportion of replicated samples, both within and across platforms, particularly for hypervariable genes like the MHC. Quantifying MHC diversity within non-model species is the first step to assessing the relationship of genetic diversity at functional loci to individual fitness and population viability. Owing to MHC-DRB diversity and copy number, ring-tailed lemurs may serve as an ideal model for estimating the interaction between genetic diversity, fitness, and environment, especially regarding endangered species.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2503-y) contains supplementary material, which is available to authorized users.

Highlights

  • Across species, diversity at the Major Histocompatibility Complex (MHC) is critical to disease resistance and population health; use of MHC diversity to quantify the genetic health of populations has been hampered by the extreme variation found in MHC genes

  • We demonstrate the utility of using Next generation sequencing (NGS) to genotype non-model organisms at complex hypervariable loci like those of the MHC and we validate the use of MHC-DRB diversity as a proxy for overall MHC diversity

  • The platforms differed in the amount of data generated: the 454 Titanium 1/8th lane produced an average coverage of 630 reads per amplicon, whereas the Ion Torrent Personal Genome Machine (PGM) averaged 1,944 reads per amplicon (Fig. 6)

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Summary

Introduction

Diversity at the Major Histocompatibility Complex (MHC) is critical to disease resistance and population health; use of MHC diversity to quantify the genetic health of populations has been hampered by the extreme variation found in MHC genes. Reptiles, birds, and mammals, MHC genes are frequently duplicated with 1–9 copies and 1–1,400 alleles per gene: Even between alleles within a single species, 12-45 % of the nucleotide sites are variable [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21] This diversity and genomic complexity makes the MHC well suited for the measurement of individual and population-level genetic fitness, it leads to many practical complications during MHC genotyping [22,23,24]. Beyond the difficulties introduced by duplications, allelic variation, and the presence of pseudogenes (reviewed in [25]), genotyping population-level sample sizes (> 50 individuals) for studies of the influence of MHC on health or reproductive success can be cumbersome, time-consuming, and expensive

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