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...

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Published in:Scientific Reports
Main Authors: Moles, Juan, Derkarabetian, Shahan, Schiaparelli, Stefano, Schrödl, Michael, Souza Troncoso, Jesús, Wilson, Nerida G., Giribet, Gonzalo
Format: Article in Journal/Newspaper
Language:English
Published: Scientific Reports 2021
Subjects:
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
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Antarctic
Antarctica
Weddell Sea
genre_facet Antarc*
Antarctic
Antarctica
Weddell Sea
geographic Antarctic
Weddell
Weddell Sea
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op_doi https://doi.org/10.1038/s41598-021-87244-5
op_relation Scientific Reports, 11(1): 8473 (2021)
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spelling ftunivvigo:oai:www.investigo.biblioteca.uvigo.es:11093/2706 2025-01-16T19:19:00+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 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ 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 2023-04-11T23:23:11Z 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