Item type |
デフォルトアイテムタイプ(フル)(1) |
公開日 |
2020-11-17 |
タイトル |
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タイトル |
Worldwide Analysis of Sedimentary DNA Reveals Major Gaps in Taxonomic Knowledge of Deep-Sea Benthos |
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言語 |
en |
作成者 |
Sinniger, Frederic
Pawlowski, Jan
Harii, Saki
Gooday, Andrew J.
Yamamoto, Hiroyuki
Chevaldonne, Pierre
Cedhagen, Tomas
Carvalho, Gary
Creer, Simon
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アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
権利情報 |
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言語 |
en |
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権利情報 |
Creative Commons Attribution 4.0 |
権利情報 |
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言語 |
en |
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権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
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権利情報 |
https://creativecommons.org/licenses/by/4.0/ |
主題 |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
environmental DNA |
主題 |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
biodiversity |
主題 |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
metabarcoding |
主題 |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
meiobenthos |
主題 |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
18S rDNA |
内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
Deep-sea sediments represent the largest but least known ecosystem on earth. With increasing anthropogenic pressure, it is now a matter of urgency to improve our understanding of deep-sea biodiversity. Traditional morpho-taxonomic studies suggest that the ocean floor hosts extraordinarily diverse benthic communities. However, due to both its remoteness and a lack of expert taxonomists, assessing deep-sea diversity is a very challenging task. Environmental DNA (eDNA) metabarcoding offers a powerful tool to complement morpho-taxonomic studies. Here we use eDNA to assess benthic metazoan diversity in 39 deep-sea sediment samples from bathyal and abyssal depths worldwide. The eDNA dataset was dominated by meiobenthic taxa and we identified all animal phyla commonly found in the deep-sea benthos; yet, the diversity within these phyla remains largely unknown. The large numbers of taxonomically unassigned molecular operational taxonomic units (OTUs) were not equally distributed among phyla, with nematodes and platyhelminthes being the most poorly characterized from a taxonomic perspective. While the data obtained here reveal pronounced heterogeneity and vast amounts of unknown biodiversity in the deep sea, they also expose the difficulties in exploiting metabarcoding datasets resulting from the lack of taxonomic knowledge and appropriate reference databases. Overall, our study demonstrates the promising potential of eDNA metabarcoding to accelerate the assessment of deep-sea biodiversity for pure and applied deep-sea environmental research but also emphasizes the necessity to integrate such new approaches with traditional morphology-based examination of deep-sea organisms. |
内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
論文 |
出版者 |
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言語 |
en |
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出版者 |
Frontiers Media |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ |
journal article |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
識別子 |
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識別子 |
http://hdl.handle.net/20.500.12000/47259 |
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識別子タイプ |
HDL |
関連情報 |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.3389/fmars.2016.00092 |
関連情報 |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.3389/fmars.2016.00092 |
収録物識別子 |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2296-7745 |
収録物名 |
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言語 |
en |
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収録物名 |
Frontiers in Marine Science |
書誌情報 |
巻 3,
発行日 2016-06-14
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