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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.
Burriel-Carranza, Bernat; Tejero-Cicuéndez, Héctor; Carné, Albert; Mochales-Riaño, Gabriel; Talavera, Adrián; Al Saadi, Saleh; Els, Johannes; Smíd, Jirí; Tamar, Karin; Tarroso, Pedro; Carranza, Salvador.
Afiliación
  • Burriel-Carranza B; Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain.
  • Tejero-Cicuéndez H; Museu de Ciències Naturals de Barcelona, P° Picasso s/n, Parc Ciutadella, 08003, Barcelona, Spain.
  • Carné A; Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain.
  • Mochales-Riaño G; Department of Biodiversity, Ecology and Evolution, Faculty of Biology, Universidad Complutense de Madrid, 28040, Madrid, Spain.
  • Talavera A; Museo Nacional de Ciencias Naturales (MNCN), CSIC, C/José Gutiérrez Abascal 2, 28006, Madrid, Spain.
  • Al Saadi S; Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain.
  • Els J; Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain.
  • Smíd J; Environment Authority, Muscat, Oman.
  • Tamar K; Breeding Centre for Endangered Arabian Wildlife, Environment and Protected Areas Authority, Sharjah, United Arab Emirates.
  • Tarroso P; Department of Zoology, Faculty of Science, Charles University, Prague, Czech Republic.
  • Carranza S; Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta, Barcelona, Spain.
Syst Biol ; 2024 Jul 02.
Article en En | MEDLINE | ID: mdl-38953551
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, 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 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Syst Biol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Syst Biol Asunto de la revista: BIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: España