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• W2802546026 abstract "Abstract Cospeciation studies aim at investigating whether hosts and symbionts speciate simultaneously or whether the associations diversify through host shifts. This problem is often tackled through reconciliation analyses that map the symbiont phylogeny onto the host phylogeny by mixing different types of diversification events. These reconciliations can be difficult to interpret and are not always biologically realistic. Researchers have underlined that the biogeographic histories of both hosts and symbionts influence the probability of cospeciation and host switches, but up to now no reconciliation software integrates geographic data. We present a new functionality in the Mowgli software that bridges this gap. The user can provide geographic information on both the host and symbiont extant and ancestral taxa. Constraints in the reconciliation algorithm have been implemented to generate biologically realistic codiversification scenarios. We apply our method to the fig/fig wasp association and infer diversification scenarios that differ from reconciliations ignoring geographic information. In addition, we updated the reconciliation viewer SylvX to visualize ancestral character states on the phylogenetic trees and highlight parts of reconciliations that are geographically inconsistent when not accounting for geographic constraints. We suggest that the comparison of reconciliations obtained with and without such constraints can help solving ambiguities in the biogeographic histories of the partners. With the development of robust methods in historical biogeography, and the advent of next‐generation sequencing that leads to better‐resolved trees, a geography‐aware reconciliation method represents a substantial advance that is likely to be useful to researchers studying the evolution of biotic interactions and biogeography." @default.
• W2802546026 created "2018-05-17" @default.
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• W2802546026 date "2018-05-21" @default.
• W2802546026 modified "2023-10-10" @default.
• W2802546026 title "A geography-aware reconciliation method to investigate diversification patterns in host/parasite interactions" @default.
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• W2802546026 doi "https://doi.org/10.1111/1755-0998.12897" @default.
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