Integrating genomics and biogeography to unravel the origin of a mountain biota: The case of a reptile endemicity hotspot in Arabia

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, particularly 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 for the first time a holistic integration of how a whole ende..., Raw ddRADseq demultiplexed reads are available and can be processed with ipyrad (https://ipyrad.readthedocs.io/). Supplementary figures, supplementary tables datasets and tree files are uploaded as separate files. , , # Title of Dataset: Integrating genomics and biogeography to unravel the origin of a mountain biota: The case of a reptile endemicity hotspot in Arabia

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**Integrating genomics and biogeography to unravel the origin of a mountain biota: The case of a reptile endemicity hotspot in Arabia**

by Bernat Burriel-Carranza, Hctor Tejero-Cicundez, Albert Carn, Gabriel Riao, Adrin Talavera, Saleh Al Saadi, Johannes Els, Ji md, Karin Tamar, Pedro Tarroso and Salvador Carranza

This dataset contains ddRADseq raw reads, data files that should allow replication of the workflow, and the resulting phylogenomic and pylogenetic trees produced in this work. Also, this dataset contains supplementary material (Figures and Tables), and the extended methods related to this publication.

In the present work, we assembled a large genomic database (n = 661) for all endemic reptiles of the Hajar Mountains. We investigated the diversity, population stru...