A Non-exchangeable Coalescent Process Arising In Phylogenetics
Duration: 52 mins 3 secs
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| Description: |
Parsons, T (Université Pierre & Marie Curie-Paris VI)
Tuesday 12 August 2014, 15:00-16:00 |
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| Created: | 2014-08-15 15:03 |
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| Collection: | Understanding Microbial Communities; Function, Structure and Dynamics |
| Publisher: | Isaac Newton Institute |
| Copyright: | Parsons, T |
| Language: | eng (English) |
| Distribution: |
World
(downloadable)
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| Categories: |
iTunes - Mathematics |
| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | (Joint with G. Achaz, A. Lambert, N. Lartillot)
A popular line of research in evolutionary biology is to use time-calibrated phylogenies in order to infer the underlying diversification process. Most models of diversification assume that species are exchangeable and lead to phylogenetic trees whose shape is the same in distribution as that of a Yule pure-birth tree. Here, we propose a non- exchangeable, individual-based, point mutation model of diversification where interspecific pairwise competition (rate d) is always weaker than intraspecific pairwise competition (rate c), and is only felt from the part of individuals belonging to younger species. The only important parameter in this model is d / c =: 1 - a, which can be seen as a selection coefficient. We show that as the initial metapopulation size grow to infinity, the properly rescaled dynamics of species lineages converge to a `shift-down/look-up coalescent' where lineages are given levels: the species at level i is the i-th most recent extant species. At constant rate, all lineages simutaneously ``shift down'' their level by -1, while the lineage at level 1 "looks up'' to a geometrically distributed (with parameter a) level and coalesces with the lineage present there. We propose a dimensionally-reduced version of this model allowing for fast simulation and likelihood computation of given trees. We use this algorithm and MCMC data augmentation methods to estimate a from real trees, and compare this estimate to classical measures of tree imbalance. |
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