bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2023.04.14.536887

The Major Histocompatibility Complex modulates Batrachochytrium dendrobatidis and Ranavirus infections in three amphibian species

Cortazar-Chinarro, M.·Richter-Boix, A.·Halvarsson, P.·Palomar, G.·Bosch, J.
View original source ↗Export metadata ↓

Abstract

Genetic variation of immune genes is an important component of genetic diversity. Major histocompatibility complex (MHC) genes have been put forward as a model for studying how genetic diversity is maintained and geographically distributed in wild populations. Pathogen-mediated selection processes (i.e., heterozygosity advantage, rare-allele advantage or fluctuating selection) and demography are believed to generate and maintain the extreme diversity of MHC genes observed. However, establishing the relative importance of the different proposed mechanisms has proved extremely difficult, but heterozygote advantage is expected to be more detectable when multiple pathogens are considered simultaneously. Here, we test whether MHC diversity in three amphibian species (Ichthyosaura alpestris, Pleurodeles waltl, and Pelophylax perezi) is driven by pathogen-mediated selection. We examined the relationship between the individual MHC class II exon variability with individual infection status (infected or not), infection intensity, and co-infection of two main amphibian pathogens: Batrachochytrium dendrobatidis (Bd) and Ranavirus sp. (Rv). We found higher MHC class II exon 2 allelic diversity in I.alpestris and P. perezi than in P.waltl but no significant differences in allele frequencies between infection groups. We also observed significant differences in Bd infection intensity between Bd infected individuals and co-infected individuals depending on the number of MHC loci that an individual carries. For I. alpestris, we show stronger evidence for MHC associations with infection intensity and status when individuals carry specific alleles and supertypes. Our results suggest that studying the association between MHC genes and single and co-infected individuals might provide new insights into host-parasite evolution and a better understanding of evolutionary mechanisms driven by MHC diversity.

Explore related subjects

evolutionary biologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Cortazar-Chinarro, M., Richter-Boix, A., Halvarsson, P., Palomar, G., Bosch, J.. 2023-04-15. The Major Histocompatibility Complex modulates Batrachochytrium dendrobatidis and Ranavirus infections in three amphibian species. https://doi.org/10.1101/2023.04.14.536887

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Ocean current models predict spatial structure for coastal biodiversity

Genomic diversity provides the raw material through which all evolutionary processes occur. Accurately describing how environmental features affect patterns of diversity shows promise in predicting the resilience of populations and entire communities to dynamic environments and novel stressors. Identifying the contribution of purely neutral responses to environmental effects can be difficult, especially across large spatial ranges with many covarying environmental features. Using an individual-based model of larvae carried by ocean currents, we predict patterns of neutral genomic diversity in a passively dispersed coastal species, suggesting large geographic regions of relative homogeneity with ancestry determined by the nearest "upstream" population with limited larval input. The genomic identity that dominates each region sharply transitions at the next such interruption, generating hierarchical structure and violating assumptions of isolation-by-distance. We call these upstream populations "lineage source regions" (LSRs), and we find strong concordance between LSR model predictions and an empirical population genomic survey of a keystone salt marsh mussel (Geukensia demissa). We quantitatively validate model performance and goodness-of-fit, updating baseline predictions of genomic diversity patterns from the classic isolation-by-distance model to this LSR framework. This spatially explicit coastal ancestry model has potential for generalization across passive dispersing species.

evolutionary biology↗
bioRxiv2026

TaxaAudit: A statistical model of consensus in phylogenetics identifies non-monophyletic taxa

Interpreting variation in genes and traits across species requires understanding their evolutionary relationships. Taxonomic hierarchies provide a practical approximation of the tree of life, with the NCBI taxonomy linking this framework directly to public sequence data. Some named groups, however, are not evolutionary clades, and recognizing these exceptions requires knowledge scattered across the phylogenetics literature. Here we introduce TaxaAudit, a statistical model that identifies taxonomic groups whose monophyly is repeatedly contradicted by published phylogenies. The model accounts for background taxonomic conflict and the ability of each study's species sampling to expose non-monophyly. Applied to 5,865 molecular phylogenies from TimeTree, TaxaAudit flagged 516 NCBI taxa at family rank and below for significant recurrent contradiction of monophyly. Excluding these taxa's monophyly requirements improved the taxonomy's agreement with independent phylogenomic reference trees and phylogenies withheld from discovery. Flagged taxa were also 3.61 times as likely as matched controls to have their monophyly challenged in publications outside the discovery set. In tree-inference experiments, excluding these monophyly constraints improved agreement with reference phylogenies relative to enforcing the unmodified taxonomy. By identifying groups whose monophyly should not be assumed, TaxaAudit lets researchers draw on published phylogenetic knowledge without reviewing the specialist literature for every taxon. This supports broader use of the NCBI taxonomy as an evolutionary framework for biological comparisons.

evolutionary biology↗
bioRxiv2026

Shared landscape, divergent genomes: Comparative population genomics of co-occurring flora in an isolated Australian mountain range

Understanding how landscape heterogeneity shapes genomic variation is key to conserving biodiversity and evolutionary potential. Yet conservation genomics is typically conducted at the single species level, limiting our ability to identify shared genomic patterns or understand how co-occurring taxa differ in their response to common environmental gradients. We assessed spatial patterns of genomic variation and their associations with geographic and environmental features among populations of nine co-existing plant species with contrasting life-histories and ecological traits across Gariwerd, a threatened biodiversity hotspot in south-eastern Australia. All species exhibited weak overall genetic structure, although the magnitude and spatial distribution of differentiation varied among species. Despite this variation, broadly consistent spatial trends were apparent, with higher genomic divergence largely concentrated in central zones and higher genomic diversity localised in southern regions of the landscape. Significant associations between genetic differentiation and geographic distance were observed in three species, while another species showed associations with environmental distance. These findings demonstrate that coexisting species can show overlapping spatial patterns in genomic variation while differing markedly in their associations with geographic and environmental variation across the same landscape. This comparative approach provides a basis for spatial prioritisation and conservation planning, while highlighting the complex eco-evolutionary processes operating across heterogeneous landscapes.

evolutionary biology↗