RRphylogeography: A new method to find the area of origin of species and the history of past contacts between species
RRphylogeography: новый метод для определения области происхождения видов и истории прошлых контактов между видами
2025-01-28
SCID: 54.1/uyvrebau
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RRphylogeographyancestral character estimationarea of origin (AOO)bioclimatic modellingphylogeographic contact zones
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Abstract (AI)
Abstract One of the main goals of historical biogeography is understanding where species originated, and how climate change and ecological interactions shaped their distribution. The task is complicated by both active and passive mechanisms, including habitat tracking, the separation of species into metapopulations of variably interconnected demes, and long‐distance dispersal, which may all obscure the geographic signature of species origin. Current historical biogeography tools use phylogenies to infer the area of origin (AOO). They work by discretizing the geographic range occupied by the species into distinct areas and then applying ancestral character estimation to identify the area occupied at speciation. These methods are powerful and can account for different modes of speciation. Yet, they are bound to assume that the discrete areas currently occupied by the species are faithful representation of their climatic and historic affiliation and ignore metapopulation structures. Still, most methods cannot take advantage of fossil information or work with phylogenies including extinct species. Although explicit bioclimatic modelling is now possible under some implementations, these limitations are partly unresolved, which burdens the accuracy of the AOO estimation process. We present a new tool written in R, named RRphylogeography , meant to find the AOO of species, and to locate feasible zones of contact between species throughout their history. RRphylogeography starts from the bioclimatic modelling of the species, identifies potential habitat patches occupied during speciation and finds the habitat patches most likely to represent the AOO or contact. By using virtual species simulations, we compared RRphylogeography to common historical biogeography tools. We found RRphylogeography statistically outcompetes these alternatives under all study conditions, reaching especially accurate predictions. We additionally used RRphylogeography to investigate the complex phylogeographic history of the polar bear Ursus maritimus . The method placed the origin of the species in Northern Beringia. Intriguingly, it further shows possible contact zones between polar and brown bear in northwestern Europe during the late Pleistocene and in Beringia during the Pleistocene to Holocene transition, which is in perfect agreement with the known hybridization history between the two species.
Key Findings
1
Applied to Ursus maritimus, RRphylogeography placed the species origin in Northern Beringia and identified contact zones with brown bear in northwestern Europe (late Pleistocene) and Beringia (Pleistocene–Holocene transition).
2
In simulations, RRphylogeography statistically outperformed common historical biogeography tools across all tested conditions, achieving especially accurate predictions.
3
RRphylogeography can incorporate fossil/extinct taxa indirectly via bioclimatic modelling, addressing limitations of discrete-area ancestral character methods that ignore metapopulation structure.
4
RRphylogeography integrates virtual species bioclimatic reconstructions to identify habitat patches occupied during speciation and to pinpoint likely AOO/contact zones.
5
RRphylogeography is a new R tool that infers species area of origin (AOO) and historical contact zones using bioclimatic modelling and habitat patch identification.
Research Object
RRphylogeography R-package and its application to species' bioclimatic/habitat patches and phylogenies for inferring area of origin and contact zones
Research Subject
Identification of species area of origin (AOO) and historical contact zones by integrating bioclimatic modelling, habitat-patch identification during speciation, and phylogenetic information, with performance comparison to existing historical biogeography tools
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2025-01-28
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