An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods
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-associat...
Published in: | Scientific Reports |
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Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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Scientific Reports
2021
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Online Access: | http://hdl.handle.net/11093/2706 https://doi.org/10.1038/s41598-021-87244-5 http://www.nature.com/articles/s41598-021-87244-5 |
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author | Moles, Juan Derkarabetian, Shahan Schiaparelli, Stefano Schrödl, Michael Souza Troncoso, Jesús Wilson, Nerida G. Giribet, Gonzalo |
author_facet | Moles, Juan Derkarabetian, Shahan Schiaparelli, Stefano Schrödl, Michael Souza Troncoso, Jesús Wilson, Nerida G. Giribet, Gonzalo |
author_sort | Moles, Juan |
collection | University of Vigo: Investigo (Repositorio Institucional de la Universidade de Vigo) |
container_issue | 1 |
container_title | Scientific Reports |
container_volume | 11 |
description | 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 speciation connected to geographic or bathymetric isolation. We further observed that the shallow waters around the Scotia Arc and on the continental shelf in the Weddell Sea present high endemism and diversity. In contrast, likely due to the glacial pressure during the Cenozoic, a deep-sea group with fewer species emerged expanding over great areas in the South-Atlantic Antarctic Ridge. Our study agrees on how diachronic paleoclimatic and current environmental factors shaped Antarctic communities both at the shallow and deep-sea levels, promoting Antarctica as the center of origin for numerous taxa such as gastropod mollusks Harvard University | Ref. NSF DEB-1754278 Fundación Ramón Areces | Ref. beca postdoctoral National Science Foundation | Ref. NSF ANT-1043749 |
format | Article in Journal/Newspaper |
genre | Antarc* Antarctic Antarctica Weddell Sea |
genre_facet | Antarc* Antarctic Antarctica Weddell Sea |
geographic | Antarctic Weddell Weddell Sea |
geographic_facet | Antarctic Weddell Weddell Sea |
id | ftunivvigo:oai:investigo.biblioteca.uvigo.es:11093/2706 |
institution | Open Polar |
language | English |
op_collection_id | ftunivvigo |
op_doi | https://doi.org/10.1038/s41598-021-87244-5 |
op_relation | Scientific Reports, 11(1): 8473 (2021) 20452322 http://hdl.handle.net/11093/2706 doi:10.1038/s41598-021-87244-5 http://www.nature.com/articles/s41598-021-87244-5 |
op_rights | openAccess |
publishDate | 2021 |
publisher | Scientific Reports |
record_format | openpolar |
spelling | ftunivvigo:oai:investigo.biblioteca.uvigo.es:11093/2706 2025-01-16T19:23:27+00:00 An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods Moles, Juan Derkarabetian, Shahan Schiaparelli, Stefano Schrödl, Michael Souza Troncoso, Jesús Wilson, Nerida G. Giribet, Gonzalo 2021-04-19 http://hdl.handle.net/11093/2706 https://doi.org/10.1038/s41598-021-87244-5 http://www.nature.com/articles/s41598-021-87244-5 eng eng Scientific Reports Ecoloxía e bioloxía animal Ecoloxía e Zooloxía Scientific Reports, 11(1): 8473 (2021) 20452322 http://hdl.handle.net/11093/2706 doi:10.1038/s41598-021-87244-5 http://www.nature.com/articles/s41598-021-87244-5 openAccess 2401.06 Ecología Animal 2510.01 Oceanografía Biológica 2401.19 Zoología Marina article 2021 ftunivvigo https://doi.org/10.1038/s41598-021-87244-5 2022-02-28T19:38:17Z 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 speciation connected to geographic or bathymetric isolation. We further observed that the shallow waters around the Scotia Arc and on the continental shelf in the Weddell Sea present high endemism and diversity. In contrast, likely due to the glacial pressure during the Cenozoic, a deep-sea group with fewer species emerged expanding over great areas in the South-Atlantic Antarctic Ridge. Our study agrees on how diachronic paleoclimatic and current environmental factors shaped Antarctic communities both at the shallow and deep-sea levels, promoting Antarctica as the center of origin for numerous taxa such as gastropod mollusks Harvard University | Ref. NSF DEB-1754278 Fundación Ramón Areces | Ref. beca postdoctoral National Science Foundation | Ref. NSF ANT-1043749 Article in Journal/Newspaper Antarc* Antarctic Antarctica Weddell Sea University of Vigo: Investigo (Repositorio Institucional de la Universidade de Vigo) Antarctic Weddell Weddell Sea Scientific Reports 11 1 |
spellingShingle | 2401.06 Ecología Animal 2510.01 Oceanografía Biológica 2401.19 Zoología Marina Moles, Juan Derkarabetian, Shahan Schiaparelli, Stefano Schrödl, Michael Souza Troncoso, Jesús Wilson, Nerida G. Giribet, Gonzalo An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods |
title | An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods |
title_full | An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods |
title_fullStr | An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods |
title_full_unstemmed | An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods |
title_short | An approach using ddRADseq and machine learning for understanding speciation in Antarctic Antarctophilinidae gastropods |
title_sort | approach using ddradseq and machine learning for understanding speciation in antarctic antarctophilinidae gastropods |
topic | 2401.06 Ecología Animal 2510.01 Oceanografía Biológica 2401.19 Zoología Marina |
topic_facet | 2401.06 Ecología Animal 2510.01 Oceanografía Biológica 2401.19 Zoología Marina |
url | http://hdl.handle.net/11093/2706 https://doi.org/10.1038/s41598-021-87244-5 http://www.nature.com/articles/s41598-021-87244-5 |