| Literature DB >> 33164287 |
Jane Hosegood1,2,3, Emily Humble2,4, Rob Ogden4,5, Mark de Bruyn1,6, Simon Creer1, Guy M W Stevens2, Mohammed Abudaya7, Kim Bassos-Hull8, Ramon Bonfil9, Daniel Fernando2,10,11, Andrew D Foote1,12, Helen Hipperson3, Rima W Jabado13, Jennifer Kaden14, Muhammad Moazzam15, Lauren R Peel2,16,17,18, Stephen Pollett2, Alessandro Ponzo19, Marloes Poortvliet20, Jehad Salah21, Helen Senn14, Joshua D Stewart2, Sabine Wintner22,23, Gary Carvalho1.
Abstract
Practical biodiversity conservation relies on delineation of biologically meaningful units. Manta and devil rays (Mobulidae) are threatened worldwide, yet morphological similarities and a succession of recent taxonomic changes impede the development of an effective conservation strategy. Here, we generate genome-wide single nucleotide polymorphism (SNP) data from a geographically and taxonomically representative set of manta and devil ray samples to reconstruct phylogenetic relationships and evaluate species boundaries under the general lineage concept. We show that nominal species units supported by alternative data sources constitute independently evolving lineages, and find robust evidence for a putative new species of manta ray in the Gulf of Mexico. Additionally, we uncover substantial incomplete lineage sorting indicating that rapid speciation together with standing variation in ancestral populations has driven phylogenetic uncertainty within Mobulidae. Finally, we detect cryptic diversity in geographically distinct populations, demonstrating that management below the species level may be warranted in certain species. Overall, our study provides a framework for molecular genetic species delimitation that is relevant to wide-ranging taxa of conservation concern, and highlights the potential for genomic data to support effective management, conservation and law enforcement strategies.Keywords: ddRAD; management; mobulids; single nucleotide polymorphism; taxonomy
Mesh:
Year: 2020 PMID: 33164287 DOI: 10.1111/mec.15683
Source DB: PubMed Journal: Mol Ecol ISSN: 0962-1083 Impact factor: 6.185