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Testing for population decline using maximal linkage disequilibrium blocks
Elise Kerdoncuff1, Amaury Lambert2, Guillaume Achaz1
1Atelier de Bioinformatique, UMR 7205 ISYEB, Sorbonne Université, CNRS, EPHE, Muséum National d'Histoire Naturelle, Paris, France; SMILE (Stochastic Models for the Inference of Life Evolution), UMR 7241 CIRB, Collège de France, CNRS, INSERM, PSL Research University, Paris, France.
Abstract:
Only 6% of known species have a conservation status. Methods that assess conservation statuses are often based on individual counts and are thus too laborious to be generalized to all species. Population genomics methods that infer past variations in population size are easy to use but limited to the relatively distant past. Here we propose a population genomics approach that tests for recent population decline and may be used to assess species conservation statuses. More specifically, we study Maximal Recombination Free (MRF) blocks, that are segments of a sequence alignment inherited from a common ancestor without recombination. MRF blocks are relatively longer in small than in large populations. We use the distribution of MRF block lengths rescaled by their mean to test for recent population decline. However, because MRF blocks are difficult to detect, we also consider Maximal Linkage Disequilibrium (MLD) blocks, which are runs of single nucleotide polymorphisms compatible with a single tree. We develop a new method capable of inferring a very recent decline (e.g. with a detection power of 50% for populations whose size was halved to N, 0.05 ×N generations ago) from rescaled MLD block lengths. Our framework could serve as a basis for quantitative tools to assess conservation status in a wide range of species.
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