Inferring the evolutionary history of the Sino-Himalayan biodiversity hotspot using a Bayesian birth-death skyline model

Bethany J. Allen, T. Vaughan, Louis du Plessis, Thomas L. A. Schouten, Zili Yuan, Sean D. Willett, Tanja Stadler
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Abstract

The current status of the Sino-Himalayan region as a biodiversity hotspot, particularly for flora, has often been linked to the uplift of the Sino-Tibetan Plateau and Himalayan and Hengduan Mountains. However, the relationship between the topological development of the region and the onset of diversification is yet to be confirmed. Here, we apply Bayesian phylodynamic methods to a large phylogeny of angiosperm species from the Sino-Himalayas, to infer changes in their evolutionary rates through time. We find strong evidence for high diversification rates in the Paleocene, late Miocene and Pliocene, and for negative diversification rates in the Quaternary, driven by an increase in extinction rates. Our analyses suggest that changes in global palaeotemperatures are unlikely to be a driving force for these rate shifts. Instead, the collision of the Indian continent with Eurasia and coeval topographic change in the Sino-Himalayas, the Miocene Grassland Expansion, and the impact of Pleistocene glaciations on this altitudinally-variable region may have driven these rates. We also demonstrate the strong influence of change time choice on the shape of inferred piecewise-constant trajectories in Bayesian phylodynamics, and advocate for the use of prior information when making this decision. Supplementary material at https://doi.org/10.6084/m9.figshare.c.7179254
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利用贝叶斯出生-死亡天际线模型推断中喜马拉雅生物多样性热点地区的演化历史
中-喜马拉雅地区目前作为生物多样性热点地区的地位,尤其是植物多样性热点地区的地位,往往与中藏高原、喜马拉雅山和横断山脉的隆起有关。然而,该地区的地形发展与生物多样性开始之间的关系还有待证实。在此,我们应用贝叶斯系统动力学方法对中-喜马拉雅地区的大量被子植物物种进行系统发育,以推断其进化速度随时间的变化。我们发现了强有力的证据,表明古新世、中新世晚期和上新世的物种多样化率较高,而第四纪的物种多样化率为负值,原因是物种灭绝率上升。我们的分析表明,全球古温度的变化不太可能是这些速率变化的驱动力。相反,印度大陆与欧亚大陆的碰撞、中-喜马拉雅山同时期的地形变化、中新世草原扩张以及更新世冰川对这一海拔多变地区的影响可能是这些速率变化的驱动力。我们还证明了在贝叶斯系统动力学中,变化时间的选择对推断出的片断恒定轨迹的形状有很大影响,并提倡在做出这一决定时使用先验信息。 补充材料 https://doi.org/10.6084/m9.figshare.c.7179254
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