An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods.

ABSTRACT: Sampling impediments and paucity of suitable material for molecular analyses have precluded the study of speciation and radiation of deep-sea species in Antarctica. We analyzed barcodes together with genome-wide single nucleotide polymorphisms obtained from double digestion restriction site-associated DNA sequencing (ddRADseq) for species in the family Antarctophilinidae. We also reevaluated the fossil record associated with this taxon to provide further insights into the origin of the group. Novel approaches to identify distinctive genetic lineages, including unsupervised machine learning variational autoencoder plots, were used to establish species hypothesis frameworks. In this sense, three undescribed species and a complex of cryptic species were identified, suggesting allopatric speci

SUBMITTER: Moles J 

PROVIDER: S-EPMC8055997 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature