Probabilistic reconstruction of genealogies for polyploid plant species

Abstract : A probabilistic reconstruction of genealogies in a polyploid population (from 2x to 4x) is investigated, by considering genetic data analyzed as the probability of allele presence in a given genotype. Based on the likelihood of all possible crossbreeding patterns, our model enables us to infer and to quantify the whole potential genealogies in the population. We explain in particular how to deal with the uncertain allelic multiplicity that may occur with polyploids. Then we build an \textit{ad hoc} penalized likelihood to compare genealogies and to decide whether a particular individual brings sufficient information to be included in the taken genealogy. This decision criterion enables us in a next part to suggest a greedy algorithm in order to explore missing links and to rebuild some connections in the genealogies, retrospectively. As a by-product, we also give a way to infer the individuals that may have been favored by breeders over the years. In the last part we highlight the results given by our model and our algorithm, firstly on a simulated population and then on a real population of rose bushes. Most of the methodology relies on the maximum likelihood principle and on graph theory.
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Contributor : Frédéric Proïa <>
Submitted on : Monday, April 16, 2018 - 7:07:13 AM
Last modification on : Wednesday, December 19, 2018 - 2:08:04 PM

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  • HAL Id : hal-01767233, version 1
  • ARXIV : 1804.04853



Frédéric Proïa, Fabien Panloup, Chiraz Trabelsi, Jérémy Clotault. Probabilistic reconstruction of genealogies for polyploid plant species. Journal of Theoretical Biology, Elsevier, 2019, 462, pp.537-551. ⟨hal-01767233⟩



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