Evidence map›Paper›PMID 39242887›Full record

Articlenpj biodiversity2024

Utilizing environmental DNA and imaging to study the deep-sea fish community of Takuyo-Daigo Seamount.

Akira Iguchi, Miyuki Nishijima, Eri Ikeuchi, Hiroyuki Yokooka, Hideki Sugishima, Kazumasa Ikeda, Ryuichi Miwa, Yoshiro Sekido, Nozomu Iwasaki, Masahiro Suzumura and 8 more

Abstract read
In one paragraph

Article in npj biodiversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Akira IguchiGeological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan. iguchi.a@aist.go.jp.
Miyuki NishijimaGeological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan.
Eri IkeuchiGeological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan.
Hiroyuki YokookaIDEA Consultants, Inc., 1334-5 Riemon, Yaizu, Shizuoka, 421-0212, Japan.
Hideki SugishimaIDEA Consultants, Inc., 1334-5 Riemon, Yaizu, Shizuoka, 421-0212, Japan.
Kazumasa IkedaOkamoto Glass Co., Ltd., 380 Toyofuta, Kashiwa, Chiba, 277-0872, Japan.
Ryuichi MiwaKaiyo Engineering Co., Ltd., 4-28-11 Taito, Taito, Tokyo, 110-0016, Japan.
Yoshiro SekidoMarine Biological Research Institute of Japan Co., Ltd., 4-28-11 Taito, Taito, Tokyo, 110-0016, Japan.
Nozomu IwasakiFaculty of Geo-Environmental Science, Rissho University, 1700 Magechi, Kumagaya, Saitama, 360-0194, Japan.
Masahiro SuzumuraEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki, 305-8569, Japan.
Ayumi TsukasakiEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki, 305-8569, Japan.
Yuichiro TanakaGeological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan.
Shogo KatoIDEA Consultants, Inc., 1334-5 Riemon, Yaizu, Shizuoka, 421-0212, Japan.
Jumpei MinatoyaMarine Biological Research Institute of Japan Co., Ltd., 4-28-11 Taito, Taito, Tokyo, 110-0016, Japan.
Nobuyuki OkamotoDeep Ocean Resources Development CO., Ltd., 2-3-5, Nihonbashi Horidome-cho, Chuoh-ku, Tokyo, 103-0012, Japan.
Taiga KunishimaFaculty of Agriculture, Setsunan University, 45-1 Nagaotoge-cho, Hirakata, Osaka, 573-0101, Japan.
Yuji IseKuroshio Biological Research Foundation, 560 Nishidomari, Otsuki, Kochi, 788-0333, Japan.
Atsushi SuzukiGeological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan. a.suzuki@aist.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in interest of mining at seamounts means there is a critical need to establish baseline inventories through environmental survey, with the aim of promoting the conservation and stewardship of these remote habitats. To efficiently evaluate fish biodiversity around a seamount, we compared environmental DNA (eDNA) methods using seawater and sponge samples against methods using imagery obtained with a remotely operated vehicle (ROV) and a free-fall deep-sea camera lander called the Edokko Mark I on the Takuyo-Daigo Seamount (153.0°E, 23.5°N) in the northwestern Pacific Ocean. We detected a total of 18 fish families by these methods. The fish fauna detected on the seamount included many families commonly found in deep-sea areas and were similar to the fish fauna of other seamounts located at similar latitudes in the northwestern Pacific. Significant differences in the patterns of detection of fish families between the eDNA and imaging methods is attributed to the differing powers of detection of some fish groups between methods (related to primer compatibility and fish size). For deep-sea fish, the difference in fish composition at the family level between seawater and sponge eDNA methods was not significant, but the difference between Edokko Mark I and ROV methods was significant; the latter difference is likely due to whether or not bait is used to attract fish. Although the eDNA workflow implemented here requires improvements, the use of eDNA and imaging methods in combination provided better insight into the biodiversity of deep-sea fishes in the deep-sea around a seamount, where our knowledge of the fish fauna has been extremely limited. Our recovery of eDNA from seawater and sponge samples around the seamount demonstrates the potential of these methods for facilitating environmental baseline surveys and impact assessments of mining activities to obtain results not previously possible with the use of visual methods only.

Identifiers

PMID39242887
PMCPMC11331990

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.