Genomic associations with poxvirus across divergent island populations in Berthelot's pipit

Eleanor C. Sheppard, Claudia A. Martin, Claire Armstrong, Catalina González‐Quevedo, Juan Carlos Illera, Alexander Suh, Lewis G. Spurgin, David S. Richardson

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4 Citations (Scopus)
32 Downloads (Pure)

Abstract

Understanding the mechanisms and genes that enable animal populations to adapt to pathogens is important from an evolutionary, health and conservation perspective. Berthelot's pipit (Anthus berthelotii) experiences extensive and consistent spatial heterogeneity in avian pox infection pressure across its range of island populations, thus providing an excellent system with which to examine how pathogen-mediated selection drives spatial variation in immunogenetic diversity. Here, we test for evidence of genetic variation associated with avian pox at both an individual and population-level. At the individual level, we find no evidence that variation in MHC class I and TLR4 (both known to be important in recognising viral infection) was associated with pox infection within two separate populations. However, using genotype-environment association (Bayenv) in conjunction with genome-wide (ddRAD-seq) data, we detected strong associations between population-level avian pox prevalence and allele frequencies of single nucleotide polymorphisms (SNPs) at a number of sites across the genome. These sites were located within genes involved in cellular stress signalling and immune responses, many of which have previously been associated with responses to viral infection in humans and other animals. Consequently, our analyses indicate that pathogen-mediated selection may play a role in shaping genomic variation among relatively recently colonised island bird populations and highlight the utility of genotype-environment associations for identifying candidate genes potentially involved in host-pathogen interactions.
Original languageEnglish
Pages (from-to)3154-3173
Number of pages20
JournalMolecular Ecology
Volume31
Issue number11
Early online date8 Apr 2022
DOIs
Publication statusPublished - Jun 2022

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