La génétique au service de la conservation de la tortue des bois (Glyptemys insculpta)

Conservation biology is a rapidly expanding field of research due to the accelerating loss of global biodiversity. To better understand the processes and threats to the persistence of small populations and the effects of anthropogenic factors on biodiversity, genetic approaches are frequently used in conservation. Genetic analyzes can, for example, inform us about long-term trends, population diversity and reproductive strategies of a species. The wood turtle (Glyptemys insculpta) is a species endemic to North America that is endangered according to the International Union for the Conservation of Nature. As part of my thesis, my objective was to characterize the genetic diversity of this threatened species in Canada. In order  to better understand the impact of reproductive strategy and landscape structure on population diversity, I analyzed the genetics of wood turtle populations at several spatial and temporal scales. First, parentage relationships were reconstructed in a population of wood turtles to estimate the frequency of multiple and repeated paternity. The results of my work suggest that sperm storage in females and multiple reproduction with the same partners for more than one breeding season could explain these phenomena. These reproduction strategies could in this case be induced by the low density of the study population, or by fidelity to the overwintering site where the majority of copulation events take place. Subsequently, I assessed the genetic diversity of wood turtle populations. I wanted to understand the effects of the landscape configuration and geographic dispersion events on the diversity of populations. Using a landscape genetics approach, my analyzes show that the division of populations by watershed explains a large fraction of the genetic diversity between populations. These results also confirm that watersheds represent management units conducive to the protection of wood turtle populations. Finally, network analysis was used to better understand the gene flow dynamics among populations located on the north and south shores of the St. Lawrence River. More specifically, the north shore is characterized by a robust network of isolated populations, whereas the populations on the south shore present more of a metapopulation structure. Using population graphs, hypothetical scenarios were compared to explore the node selection process using the BRIDES algorithm. The results of these analyzes made it possible to point out specific populations of wood turtles, considering their importance for network connectivity. This could have not been predicted by using genetic diversity and distinctiveness estimates, node-based metrics, and node removal analysis for these populations. Thanks to genetics, this thesis brings new knowledge on the wood turtle, the reproductive strategies of both sexes, the gene flow, the connectivity  and the influence of the hydrographic network on population diversity. These results allow us to have a better understanding of the processes affecting the genetic diversity of this species in order to better protect it. All analyses performed for this thesis are directly applicable to other long-lived species with overlapping generations.

Keyphrases: conservation, Glyptemys insculpta, BRIDES software, watersheds, connectivity, gene flow, long-lived species, landscape genetics, clustering analysis, parentage analysis, paternity, population prioritization, network analysis, population graph, freshwater turtles, wood turtles