Evidence map›Paper›PMID 38803273›Full record

ArticleDatabase : the journal of biological databases and curation2024

CoSFISH: a comprehensive reference database of COI and 18S rRNA barcodes for fish.

Yuanyuan Wang, Yexin Yang, Yi Liu, Chao Liu, Meng Xu, Miao Fang, Xidong Mu

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yuanyuan WangKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.
Yexin YangKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.
Yi LiuKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.
Chao LiuKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.
Meng XuKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.
Miao FangKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.
Xidong MuKey Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangdong Modern Recreational Fisheries Engineering Technology Center, Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, No.1 Xingyu Road, Xilang, Liwan District, Guangzhou 510380, China.ORCID 0000-0003-4091-7430

Funding

China-ASEAN Maritime Cooperation Fund CAMC-2018FGuangdong Rural Revitalization Strategy Special Provincial Organization 2022SBH00001Modern Agriculture Industry Technology Innovation Team 2023KJ134 2023KJ150National Freshwater Genetic Resource Center FGRC18537
6 · The paper itself

Abstract

Fish, being a crucial component of aquatic ecosystems, holds significant importance from both economic and ecological perspectives. However, the identification of fish at the species level remains challenging, and there is a lack of a taxonomically complete and comprehensive reference sequence database for fish. Therefore, we developed CoSFISH, an online fish database. Currently, the database contains 21 535 cytochrome oxidase I sequences and 1074 18S rRNA sequences of 21 589 species, belonging to 8 classes and 90 orders. We additionally incorporate online analysis tools to aid users in comparing, aligning and analyzing sequences, as well as designing primers. Users can upload their own data for analysis, in addition to using the data stored in the database directly. CoSFISH offers an extensive fish database and incorporates online analysis tools, making it a valuable resource for the study of fish diversity, phylogenetics and biological evolution. Database URL:  http://210.22.121.250:8888/CoSFISH/home/indexPage.

Indexed as

DNA Barcoding, TaxonomicElectron Transport Complex IVFishesRNA, Ribosomal, 18SAnimalsDatabases, GeneticDatabases, Nucleic AcidPhylogenyElectron Transport Complex IVRNA, Ribosomal, 18S

Identifiers

PMID38803273
PMCPMC11130519

What OpenQuestion holds

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LicenceCC BY
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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.