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Contrasting processes drive ophiuroid phylodiversity across shallow and deep seafloors


O'Hara, TD and Hugall, AF and Woolley, SNC and Bribiesca-Contreras, G and Bax, NJ, Contrasting processes drive ophiuroid phylodiversity across shallow and deep seafloors, Nature, 565, (7741) pp. 636-639. ISSN 0028-0836 (2019) [Refereed Article]

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Copyright 2019 Springer Nature Limited

DOI: doi:10.1038/s41586-019-0886-z


Our knowledge of the distribution and evolution of deep-sea life is limited, impeding our ability to identify priority areas for conservation. Here we analyse large integrated phylogenomic and distributional datasets of seafloor fauna from the sea surface to the abyss and from equator to pole of the Southern Hemisphere for an entire class of invertebrates (Ophiuroidea). We find that latitudinal diversity gradients are assembled through contrasting evolutionary processes for shallow (0-200 m) and deep (>200 m) seas. The shallow-water tropical-temperate realm broadly reflects a tropical diversification-driven process that shows exchange of lineages in both directions. Diversification rates are reversed for the realm that contains the deep sea and Antarctica; the diversification rates are highest at polar and lowest at tropical latitudes, and net exchange occurs from high to low latitudes. The tropical upper bathyal (200-700 m deep), with its rich ancient phylodiversity, is characterized by relatively low diversification and moderate immigration rates. Conversely, the young, specialized Antarctic fauna is inferred to be rebounding from regional extinctions that are associated with the rapid cooling of polar waters during the mid-Cenozoic era.

Item Details

Item Type:Refereed Article
Keywords:phylodiversity, deep-sea life, seafloor fauna, conservation
Research Division:Environmental Sciences
Research Group:Environmental management
Research Field:Conservation and biodiversity
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Marine biodiversity
UTAS Author:Bax, NJ (Professor Nicholas Bax)
ID Code:137437
Year Published:2019
Web of Science® Times Cited:33
Deposited By:Directorate
Deposited On:2020-02-13
Last Modified:2020-05-26

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