dc.description.abstract
Advances in genomics have greatly enhanced our understanding of mountain biodiversity, providing new
insights into the complex and dynamic mechanisms that drive the formation of mountain biotas. These span from broad
biogeographic patterns to population dynamics and adaptations to these environments. However, significant challenges
remain in integrating large-scale and fine-scale findings to develop a comprehensive understanding of mountain
biodiversity. One significant challenge is the lack of genomic data, especially in historically understudied arid regions
where reptiles are a particularly diverse vertebrate group. In the present study, we assembled a de novo genome-wide SNP
dataset for the complete endemic reptile fauna of a mountain range (19 described species with more than 600 specimens
sequenced), and integrated state-of-the-art biogeographic analyses at the population, species, and community level. Thus,
we provide a holistic integration of how a whole endemic reptile community has originated, diversified and dispersed
through a mountain system. Our results show that reptiles independently colonized the Hajar Mountains of southeastern
Arabia 11 times. After colonization, species delimitation methods suggest high levels of within-mountain diversification,
supporting up to 49 deep lineages. This diversity is strongly structured following local topography, with the highest
peaks acting as a broad barrier to gene flow among the entire community. Interestingly, orogenic events do not seem key
drivers of the biogeographic history of reptiles in this system. Instead, past climatic events seem to have had a major role
in this community assemblage. We observe an increase of vicariant events from Late Pliocene onwards, coinciding with an
unstable climatic period of rapid shifts between hyper-arid and semiarid conditions that led to the ongoing desertification
of Arabia. We conclude that paleoclimate, and particularly extreme aridification, acted as a main driver of diversification
in arid mountain systems which is tangled with the generation of highly adapted endemicity. Overall, our study does not
only provide a valuable contribution to understanding the evolution of mountain biodiversity, but also offers a flexible
and scalable approach that can be reproduced into any taxonomic group and at any discrete environment.
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