Abstract

To survive organisms must defend themselves against pathogens. Classical Major Histocompatibility Complex (MHC) genes play a key role in pathogen defense by encoding molecules involved in pathogen recognition. MHC diversity influences the variety of pathogens individuals can recognize and respond to and has consequently been a popular genetic marker for disease resistance in ecology and evolution. However, MHC diversity is predominantly estimated using genomic DNA (gDNA) with little knowledge of expressed diversity. This limits our ability to interpret the adaptive significance of variation in MHC diversity, especially in species with very many MHC genes, such as songbirds. Here we address this issue using phylogenetic comparative analyses of the number of MHC class I alleles (MHC-I diversity) in gDNA and complementary DNA (cDNA), i.e. expressed alleles, across thirteen songbird species. We propose three theoretical relationships that could be expected between genomic and expressed MHC-I diversity on a macro-evolutionary scale and test which of these are best supported. In doing so, we show that significantly fewer MHC-I alleles than the number available are expressed, suggesting that optimal MHC-I diversity could be achieved by modulating gene expression. Understanding the relationship between genomic and expressed MHC-I diversity is essential for interpreting variation in MHC diversity in an evolutionary context. This article is protected by copyright. All rights reserved.

Highlights

  • The orange line (Disproportion) depicts a scenario in which the number of expressed Major Histocompatibility Complex (MHC) genes is disproportionally lower in species with high genomic MHC diversity. (B) Empirical relationship between the number of MHC class I (MHC-I) alleles detected in genomic DNA and the number that are expressed, that is, detected in complementary DNA, across 13 songbird species

  • DATA ANALYSES We investigated the relationship between the number of MHC-I allele in genomic DNA (gDNA) and complementary DNA (cDNA) across species using Bayesian Phylogenetic Mixed Models (BPMM) implemented in the R package “MCMCglmm” (Hadfield 2010)

  • We found strong support for a linear positive relationship between the number of MHC-I alleles detected in gDNA and cDNA, which was significantly lower than one-toone as demonstrated by the CIs spanning a range well below one (PM = 0.0330, CI = 0.0179 to 0.0482, pMCMC < 0.001, Fig. 1B, Supporting information Table S3)

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Summary

Link to publication

Citation for published version (APA): O'Connor, E., & Westerdahl, H. (2021). Tradeoffs in expressed major histocompatibility complex diversity seen on a macro‐evolutionary scale among songbirds. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim

LUND UNIVERSITY
Materials and Methods
Results and Discussion

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