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Testing for population decline using maximal linkage disequilibrium blocks

Author

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  • Kerdoncuff, Elise
  • Lambert, Amaury
  • Achaz, Guillaume

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.

Suggested Citation

  • Kerdoncuff, Elise & Lambert, Amaury & Achaz, Guillaume, 2020. "Testing for population decline using maximal linkage disequilibrium blocks," Theoretical Population Biology, Elsevier, vol. 134(C), pages 171-181.
  • Handle: RePEc:eee:thpobi:v:134:y:2020:i:c:p:171-181
    DOI: 10.1016/j.tpb.2020.03.004
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    References listed on IDEAS

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    1. Carmi, Shai & Wilton, Peter R. & Wakeley, John & Pe’er, Itsik, 2014. "A renewal theory approach to IBD sharing," Theoretical Population Biology, Elsevier, vol. 97(C), pages 35-48.
    2. Mazet, Olivier & Rodríguez, Willy & Chikhi, Lounès, 2015. "Demographic inference using genetic data from a single individual: Separating population size variation from population structure," Theoretical Population Biology, Elsevier, vol. 104(C), pages 46-58.
    3. Etienne Patin & Katherine J. Siddle & Guillaume Laval & Hélène Quach & Christine Harmant & Noémie Becker & Alain Froment & Béatrice Régnault & Laure Lemée & Simon Gravel & Jean-Marie Hombert & Lolke V, 2014. "The impact of agricultural emergence on the genetic history of African rainforest hunter-gatherers and agriculturalists," Nature Communications, Nature, vol. 5(1), pages 1-10, May.
    4. Mathieu Tiret & Frédéric Hospital, 2017. "Blocks of chromosomes identical by descent in a population: Models and predictions," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-11, November.
    5. Heng Li & Richard Durbin, 2011. "Inference of human population history from individual whole-genome sequences," Nature, Nature, vol. 475(7357), pages 493-496, July.
    6. Wei Zhang & Erica Westerman & Eyal Nitzany & Stephanie Palmer & Marcus R. Kronforst, 2017. "Tracing the origin and evolution of supergene mimicry in butterflies," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    7. Jerome Kelleher & Alison M Etheridge & Gilean McVean, 2016. "Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-22, May.
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