Biology subjects

Poissant, J.

Publications and source records attributed to Poissant, J..

4 recordsLinked to original sources

bioRxiv2026

Host genetics and social relationships jointly shape fitness-associated microbiome variation in a population of feral horses

Gut microbiome variation is consequential for host fitness, but its contribution to adaptive evolution in host populations remains unclear. Although gut microbiome heritability has been demonstrated in humans, domesticated animals, and wildlife, no study has simultaneously assessed heritability of, and natural selection on, microbiome traits. Moreover, prior studies have not investigated whether non-genetic inheritance mechanisms (e.g., maternal and social transmission) could also contribute to microbiome-mediated adaptation. Using quantitative genetic animal models and shotgun metagenomic data from the long-term, individual-based study of feral Sable Island horses (2394 samples, 794 known-fate individuals), we estimated additive genetic, maternal, and social contributions to fitness-associated dimensions of the microbiome identified using canonical analyses of principal coordinates. Combined, additive genetic, permanent environment, and social effects explained 47% and 38% of the variance in fitness-associated dimensions of microbiota or microbial gene family profiles, respectively, with social effects being 2-4 times stronger than additive genetic effects on average. Contrary to our predictions, we observed no evidence for maternal effects. We provide the first evidence that fitness-associated microbiome traits are heritable, and so, theoretically capable of evolution in response to selection. Strong social effects further indicate the possible concurrent importance of non-genetic inheritance to microbiome-mediated adaptive evolution.

ecology↗

bioRxiv2026

Inbreeding and demographic history of caribou (Rangifer tarandus) in western Canada inferred from genome-wide SNP data

Assessing genetic diversity is essential for conserving endangered populations, yet comprehensive genomic evaluations remain limited for many declining species. Here, we investigated inbreeding levels and effective population sizes (Ne) of caribou (Rangifer tarandus) in western Canada, where populations have experienced pronounced declines over the past centuries due to anthropogenic pressures and climate change. We analyzed 33,346 Single Nucleotide Polymorphisms (SNPs) from 759 individuals representing 45 subpopulations within six metapopulations to: (1) assess inbreeding using runs of homozygosity (ROHs), (2) estimate contemporary and historical Ne, and (3) evaluate relationships between census size (Nc), inbreeding, and Ne. Small and endangered subpopulations, predominantly in southern regions, generally exhibited high inbreeding (FROH > 0.1), although some larger populations also showed elevated levels. Most subpopulations displayed a mixture of short and long ROHs, indicating both ancient shared ancestry and recent inbreeding. Twelve subpopulations had Ne <50, and 28 subpopulations and all metapopulations had Ne < 500, suggesting compromised short-term viability and long-term adaptive potential. Nc significantly predicted inbreeding (R{superscript 2} = 0.25), whereas contemporary Ne did not. Historical Ne reconstructions revealed a north-to-south gradient in bottleneck timing: northern populations declined in [~]1700-1780, central populations in [~]1780-1860, and southern populations in [~]1860-1940, likely driven by sequential impacts of climate shifts and anthropogenic disturbances. Our findings identify at-risk populations requiring urgent genetic intervention and demonstrate that integrating inbreeding and Ne estimates provides a robust framework for caribou recovery and the management of fragmented wildlife populations.

evolutionary biology↗

bioRxiv2025

Glacial history and landscape features shape the hierarchical population genetic structure of woodland caribou (Rangifer tarandus caribou) in western Canada

Caribou, listed as a species at risk across Canada, have experienced a wide range of evolutionary and selective pressures at multiple scales, from large-scale range shifts and recolonisations driven by glacial cycles to more localized contemporary habitat degradation and fragmentation. Given these multi-scale evolutionary forces, genetic variation and diversity are expected to be hierarchically structured. Characterising hierarchical population structure is crucial to understanding a species evolutionary history and informing effective conservation and management strategies. In this study, we analysed genomic diversity and variation in woodland caribou (Rangifer tarandus caribou) across western Canada using genotypes from [~]33,000 Single Nucleotide Polymorphism (SNP) loci from 759 geo-referenced individuals spanning 45 pre-defined subpopulations. We employed genetic clustering methods and measures of genetic differentiation to characterize hierarchical population structure in the region and tested for latitudinal changes in heterozygosity resulting from post-glacial recolonisation and hybridisation. Our results confirm that woodland caribou genetic diversity and differentiation occur at multiple hierarchical levels, reflecting post-glacial recolonisation patterns and landscape heterogeneity. Notably, the major genetic clusters identified in our study do not align with current conservation units for the species in this region. We also observe elevated heterozygosity in the mid-latitudes of the sampled range, indicative of hybridisation following secondary contact during post-glacial recolonisation. These findings underscore the need to consider and include genetic diversity at all hierarchical levels in conservation planning, as wide-ranging species often experience diverse and complex evolutionary histories and pressures.

evolutionary biology↗

bioRxiv2019

A database for ITS2 sequences from nematodes

Marker gene surveys have a wide variety of applications in species identification, population genetics, and molecular epidemiology. As these methods expand to new types of organisms and additional markers beyond 16S and 18S rRNA genes, comprehensive databases are a critical requirement for proper analysis of these data. Here we present an ITS2 rDNA database for maker gene surveys of both free-living and parasitic nematode populations and the software used to build the database. This is an important resource for researchers working on nematodes and also provides a tool to create ITS2 databases for any given taxonomy.\n\nAvailability and ImplementationThe database is available as an interactive web app at https://cooperia.chgi.ucalgary.ca/Nematode_ITS2/. The full database can also be downloaded from zenodo https://doi.org/10.5281/zenodo.3235802, and the open source software used to create the database, markerDB is available at https://github.com/ucvm/markerDB/releases/latest.

bioinformatics↗