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Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis

The aim of this study was to select a candidate deep-sea amphipod species suitable for connectivity analyses in areas around cobalt-rich ferromanganese crusts (CRCs). We applied DNA barcoding based on the mitochondrial protein-coding gene, cytochrome c oxidase subunit I (COI), to specimens collected...

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Autores principales: Iguchi, Akira, Nishijima, Miyuki, Yoshioka, Yuki, Miyagi, Aika, Miwa, Ryuichi, Tanaka, Yuichiro, Kato, Shogo, Matsui, Takaaki, Igarashi, Yoshiaki, Okamoto, Nobuyuki, Suzuki, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004558/
https://www.ncbi.nlm.nih.gov/pubmed/32027722
http://dx.doi.org/10.1371/journal.pone.0228483
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author Iguchi, Akira
Nishijima, Miyuki
Yoshioka, Yuki
Miyagi, Aika
Miwa, Ryuichi
Tanaka, Yuichiro
Kato, Shogo
Matsui, Takaaki
Igarashi, Yoshiaki
Okamoto, Nobuyuki
Suzuki, Atsushi
author_facet Iguchi, Akira
Nishijima, Miyuki
Yoshioka, Yuki
Miyagi, Aika
Miwa, Ryuichi
Tanaka, Yuichiro
Kato, Shogo
Matsui, Takaaki
Igarashi, Yoshiaki
Okamoto, Nobuyuki
Suzuki, Atsushi
author_sort Iguchi, Akira
collection PubMed
description The aim of this study was to select a candidate deep-sea amphipod species suitable for connectivity analyses in areas around cobalt-rich ferromanganese crusts (CRCs). We applied DNA barcoding based on the mitochondrial protein-coding gene, cytochrome c oxidase subunit I (COI), to specimens collected from the Xufu Guyot (the JA06 Seamount) off southeastern Minami-Torishima Island in the North Pacific, where CRCs are distributed. We used baited traps to collect 37 specimens. Comparison of COI sequences with public reference databases (GenBank, BOLD) showed that almost all of the specimens belonged to the superfamily Lysianassoidea, which is known to be ubiquitous in deep-sea areas. In a molecular taxonomic analysis of these sequences, we detected 11 clades. One of these clades (group 9) composed of 18 sequences and was identified by DNA barcoding as a putative species belonging to Abyssorchomene, which has been reported from the New Hebrides Trench in the South Pacific. We considered this species to be a candidate for connectivity analysis and analyzed its genome by restriction site–associated DNA sequencing. The results showed that the genetic variation in this species is adequate for analyzing connectivity patterns in CRC areas in the future.
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spelling pubmed-70045582020-02-19 Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis Iguchi, Akira Nishijima, Miyuki Yoshioka, Yuki Miyagi, Aika Miwa, Ryuichi Tanaka, Yuichiro Kato, Shogo Matsui, Takaaki Igarashi, Yoshiaki Okamoto, Nobuyuki Suzuki, Atsushi PLoS One Research Article The aim of this study was to select a candidate deep-sea amphipod species suitable for connectivity analyses in areas around cobalt-rich ferromanganese crusts (CRCs). We applied DNA barcoding based on the mitochondrial protein-coding gene, cytochrome c oxidase subunit I (COI), to specimens collected from the Xufu Guyot (the JA06 Seamount) off southeastern Minami-Torishima Island in the North Pacific, where CRCs are distributed. We used baited traps to collect 37 specimens. Comparison of COI sequences with public reference databases (GenBank, BOLD) showed that almost all of the specimens belonged to the superfamily Lysianassoidea, which is known to be ubiquitous in deep-sea areas. In a molecular taxonomic analysis of these sequences, we detected 11 clades. One of these clades (group 9) composed of 18 sequences and was identified by DNA barcoding as a putative species belonging to Abyssorchomene, which has been reported from the New Hebrides Trench in the South Pacific. We considered this species to be a candidate for connectivity analysis and analyzed its genome by restriction site–associated DNA sequencing. The results showed that the genetic variation in this species is adequate for analyzing connectivity patterns in CRC areas in the future. Public Library of Science 2020-02-06 /pmc/articles/PMC7004558/ /pubmed/32027722 http://dx.doi.org/10.1371/journal.pone.0228483 Text en © 2020 Iguchi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Iguchi, Akira
Nishijima, Miyuki
Yoshioka, Yuki
Miyagi, Aika
Miwa, Ryuichi
Tanaka, Yuichiro
Kato, Shogo
Matsui, Takaaki
Igarashi, Yoshiaki
Okamoto, Nobuyuki
Suzuki, Atsushi
Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis
title Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis
title_full Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis
title_fullStr Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis
title_full_unstemmed Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis
title_short Deep-sea amphipods around cobalt-rich ferromanganese crusts: Taxonomic diversity and selection of candidate species for connectivity analysis
title_sort deep-sea amphipods around cobalt-rich ferromanganese crusts: taxonomic diversity and selection of candidate species for connectivity analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004558/
https://www.ncbi.nlm.nih.gov/pubmed/32027722
http://dx.doi.org/10.1371/journal.pone.0228483
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