The formation of the Indo-Pacific montane avifauna
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The processes generating the earth’s montane biodiversity remain a matter of debate. Two contrasting hypotheses have been advanced to explain how montane populations form: via direct colonization from other mountains, or, alternatively, via upslope range shifts from adjacent lowland areas. We seek to reconcile these apparently conflicting hypotheses by asking whether a species’ ancestral geographic origin determines its mode of mountain colonization. Island-dwelling passerine birds at the faunal crossroads between Eurasia and Australo-Papua provide an ideal study system. We recover the phylogenetic relationships of the region’s montane species and reconstruct their ancestral geographic ranges, elevational ranges, and migratory behavior. We also perform genomic population studies of three super-dispersive montane species/clades with broad island distributions. Eurasian-origin species populated archipelagos via direct colonization between mountains. This mode of colonization appears related to ancestral adaptations to cold and seasonal climates, specifically short-distance migration. Australo-Papuan-origin mountain populations, by contrast, evolved from lowland ancestors, and highland distribution mostly precludes their further colonization of island mountains. Our study explains much of the distributional variation within a complex biological system, and provides a synthesis of two seemingly discordant hypotheses for montane community formation.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 8215 |
| Tidsskrift | Nature Communications |
| Vol/bind | 14 |
| Antal sider | 15 |
| ISSN | 2041-1723 |
| DOI | |
| Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
Genetic samples were kindly provided by the following institutions: the American Museum of Natural History, New York, NY (Paul Sweet, Tom Trombone, Brian Tilston Smith, and Peter Capainolo); the Australian National Wildlife Collection (Leo Joseph and Robert Palmer); the British Museum of Natural History, Tring (Robert Prys-Jones, Hein van Grouw, Alexander L. Bond, and Mark Adams); Museum für Naturkunde, Berlin (Sylke Frahnert and Pascal Eckhoff); the Natural History Museum of Denmark (Jan Bolding Kristensen); Rijksmuseum van Natuurlijke Histoire, Leiden (Steven van der Mije and Pepijn Kamminga); the Swedish Museum of Natural History, Stockholm (Ulf Johansson); and the Yale Peabody Museum of Natural History, New Haven, CT (Kristof Zyskowski). We thank Petter Marki and Michael Le Pepke for contributing data. Leo Joseph, Frederick Sheldon, Trevor Price, and Jon Fjeldså provided valuable comments on the draft manuscript. We acknowledge support from the Villum Foundation (Young Investigator Programme, project No. 15560, K.A.J), the Carlsberg Foundation (CF15-0078 and CF15-0079, K.A.J.; CF17-0239, J.D.K), Marie Sklodowska-Curie actions (MSCA-792534, J.D.K.), and the Swedish Research Council (2019-04486, P.A.). The computations were performed on resources provided by SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under project SNIC 2017/7-212. The authors acknowledge support from the National Genomics Infrastructure in Stockholm, funded by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation, and the Swedish Research Council. We also thank SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing, and access to the UPPMAX computational infrastructure.
Funding Information:
Genetic samples were kindly provided by the following institutions: the American Museum of Natural History, New York, NY (Paul Sweet, Tom Trombone, Brian Tilston Smith, and Peter Capainolo); the Australian National Wildlife Collection (Leo Joseph and Robert Palmer); the British Museum of Natural History, Tring (Robert Prys-Jones, Hein van Grouw, Alexander L. Bond, and Mark Adams); Museum für Naturkunde, Berlin (Sylke Frahnert and Pascal Eckhoff); the Natural History Museum of Denmark (Jan Bolding Kristensen); Rijksmuseum van Natuurlijke Histoire, Leiden (Steven van der Mije and Pepijn Kamminga); the Swedish Museum of Natural History, Stockholm (Ulf Johansson); and the Yale Peabody Museum of Natural History, New Haven, CT (Kristof Zyskowski). We thank Petter Marki and Michael Le Pepke for contributing data. Leo Joseph, Frederick Sheldon, Trevor Price, and Jon Fjeldså provided valuable comments on the draft manuscript. We acknowledge support from the Villum Foundation (Young Investigator Programme, project No. 15560, K.A.J), the Carlsberg Foundation (CF15-0078 and CF15-0079, K.A.J.; CF17-0239, J.D.K), Marie Sklodowska-Curie actions (MSCA-792534, J.D.K.), and the Swedish Research Council (2019-04486, P.A.). The computations were performed on resources provided by SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under project SNIC 2017/7-212. The authors acknowledge support from the National Genomics Infrastructure in Stockholm, funded by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation, and the Swedish Research Council. We also thank SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing, and access to the UPPMAX computational infrastructure.
Publisher Copyright:
© 2023, The Author(s).
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