Integrative methods reveal multiple drivers of diversification in rice paddy snakes

Divergence dating analyses in systematics provide a framework to develop and test biogeographic hypotheses regarding speciation. However, as molecular datasets grow from multilocus to genomic, sample sizes decrease due to computational burdens, and the testing of fine-scale biogeographic hypotheses...

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Veröffentlicht in:Scientific reports 2024-03, Vol.14 (1), p.4727-4727, Article 4727
Hauptverfasser: Bernstein, Justin M., Voris, Harold K., Stuart, Bryan L., Karns, Daryl R., McGuire, Jimmy A., Iskandar, Djoko T., Riyanto, Awal, Calderón-Acevedo, Camilo A., Brown, Rafe M., Gehara, Marcelo, Soto-Centeno, J. Angel, Ruane, Sara
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Sprache:eng
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Zusammenfassung:Divergence dating analyses in systematics provide a framework to develop and test biogeographic hypotheses regarding speciation. However, as molecular datasets grow from multilocus to genomic, sample sizes decrease due to computational burdens, and the testing of fine-scale biogeographic hypotheses becomes difficult. In this study, we use coalescent demographic models to investigate the diversification of poorly known rice paddy snakes from Southeast Asia (Homalopsidae: Hypsiscopus ), which have conflicting dates of origin based on previous studies. We use coalescent modeling to test the hypothesis that Hypsiscopus diversified 2.5 mya during the Khorat Plateau uplift in Thailand. Additionally, we use ecological niche analyses to identify potential differences in the niche space of the two most widely distributed species in the past and present. Our results suggest Hypsiscopus diversified ~ 2.4 mya, supporting that the Khorat Plateau may have initiated the diversification of rice paddy snakes. We also find significant niche differentiation and shifts between species of Hypsiscopus , indicating that environmental differences may have sustained differentiation of this genus after the Khorat Plateau uplift. Our study expands on the diversification history of snakes in Southeast Asia, and highlights how results from smaller multilocus datasets can be useful in developing and testing biogeographic hypotheses alongside genomic datasets.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-54744-z