@article{fdi:010073767, title = {{A} geography-aware reconciliation method to investigate diversification patterns in host/parasite interactions}, author = {{B}erry, {V}. and {C}hevenet, {F}ran{\c{c}}ois and {D}oyon, {J}. {P}. and {J}ousselin, {E}.}, editor = {}, language = {{ENG}}, abstract = {{C}ospeciation studies aim at investigating whether hosts and symbionts speciate simultaneously or whether the associations diversify through host shifts. {T}his problem is often tackled through reconciliation analyses that map the symbiont phylogeny onto the host phylogeny by mixing different types of diversification events. {T}hese reconciliations can be difficult to interpret and are not always biologically realistic. {R}esearchers 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. {W}e present a new functionality in the {M}owgli software that bridges this gap. {T}he user can provide geographic information on both the host and symbiont extant and ancestral taxa. {C}onstraints in the reconciliation algorithm have been implemented to generate biologically realistic codiversification scenarios. {W}e apply our method to the fig/fig wasp association and infer diversification scenarios that differ from reconciliations ignoring geographic information. {I}n addition, we updated the reconciliation viewer {S}ylv{X} to visualize ancestral character states on the phylogenetic trees and highlight parts of reconciliations that are geographically inconsistent when not accounting for geographic constraints. {W}e suggest that the comparison of reconciliations obtained with and without such constraints can help solving ambiguities in the biogeographic histories of the partners. {W}ith 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.}, keywords = {ancestral trait ; biogeography ; cophylogeny ; host parasite ; reconciliation ; software ; tree visualization}, booktitle = {}, journal = {{M}olecular {E}cology {R}esources}, volume = {18}, numero = {5}, pages = {1173--1184}, ISSN = {1755-098{X}}, year = {2018}, DOI = {10.1111/1755-0998.12897}, URL = {https://www.documentation.ird.fr/hor/fdi:010073767}, }