Taiwan Fish Eggs and Larvae DNA Barcode Database

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Description

Fish eggs and larval stages play a crucial role in the marine ecosystem; however, their rapidly changing morphological characteristics and the absence of distinct diagnostic features make species identification based solely on morphology challenging. This study utilizes DNA barcoding technology (COI gene) to establish a comprehensive database of fish eggs and larval fish in the coastal waters off Taiwan. This database enhances species identification accuracy and serves as a scientific foundation for biodiversity conservation and fisheries resource management. A total of 7,602 records of fish egg and larval fish were collected from the waters surrounding Taiwan between 2004 and 2023 and identified using DNA barcoding technology. By comparing the sequences with the NCBI and BOLD databases, the dataset was found 1112 taxa encompass 24 orders, 158 families, 500 genera, and 844 fish species. This database facilitates studies on the early life stages of fish in Taiwanese waters and serves as a scientific foundation for conservation and fisheries resource management. This database provides comprehensive spatial and temporal distribution data on fish eggs and larvae in the waters surrounding Taiwan, contributing to a better understanding of fish spawning seasons, spawning grounds, and resource fluctuations. It serves as a valuable reference for biodiversity conservation and fisheries resource management in Taiwanese waters.

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 7 602 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Shao K, Ko H (2025). Taiwan Fish Eggs and Larvae DNA Barcode Database. Version 1.6. Biodiversity Research Center, Academia Sinica, Taiwan. Occurrence dataset. https://ipt.taibif.tw/resource?r=taiwanfishlarvaedb&v=1.6

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Biodiversity Research Center, Academia Sinica, Taiwan. Ce travail est sous licence Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : 1ccbbf52-46c3-42ca-a04f-251b72749fa3. Biodiversity Research Center, Academia Sinica, Taiwan publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du Taiwan Biodiversity Information Facility.

Mots-clé

Occurrence; Specimen; Species identification; DNA Barcoding; COI

Contacts

Kwang-Tsao Shao

Créateur ●
Personne De Contact

Research Fellow (Retired)

Academia Sinica

Academia Sinica, No. 128, Section 2, Academia Road, Nangang District, Taipei 115, Taiwan (R.O.C.)

Taipei

Hui-Ling Ko

Publicateur

Assistant Research Fellow

Fisheries Research Institute, Ministry of Agriculture,

199, Hou-lh Road, Keelung 20246, Taiwan, R.O.C.

Keelung

Hui-Ling Ko

Publicateur

Assistant Research Fellow

Fisheries Research Institute, Ministry of Agriculture

huilingko@gmail.com

Couverture géographique

Ranging from northern Taiwan to Taiping Island in the South China Sea. The majority of the sampling stations were concentrated in the western waters of Taiwan.

Enveloppe géographique	Sud Ouest [10,374, 114,362], Nord Est [26,514, 122,236]

Couverture taxonomique

Pas de description disponible

Kingdom	Animalia
Phylum	Chordata
Class	Actinopterygii
Order	Gadiformes, Gasterosteiformes, Tetraodontiformes, Ophidiiformes, Beryciformes, Stomiiformes, Lophiiformes, Mugiliformes, Atheriniformes, Aulopiformes, Gonorynchiformes, Osmeriformes, Elopiformes, Beloniformes, Scorpaeniformes, Perciformes, Lampridiformes, Cyprinodontiformes, Siluriformes, Zeiformes, Anguilliformes, Pleuronectiformes, Clupeiformes, Myctophiformes

Couverture temporelle

Date de début / Date de fin	2004-05-30 / 2023-02-01

Méthodes déchantillonnage

All phytoplankton specimens were collected using either a plankton net or a light trap. Subsequently fish eggs and larvae were selected and preserved in 95% ethanol. The morphological classification, measurement of egg diameter and standard length, and photography were conducted under a dissecting microscope.

Etendue de létude	This database of fish eggs and larval fish, verified through DNA barcoding, was compiled by a research team led by Dr. Kwang-Tsao Shao, who has retired from the Biodiversity Research Center at Academia Sinica. The specimens were collected from the waters surrounding Taiwan between May 2004 and February 2023, ranging from northern Taiwan to Taiping Island in the South China Sea. The majority of the sampling stations were concentrated in the western waters of Taiwan.

Etendue de létude

This database of fish eggs and larval fish, verified through DNA barcoding, was compiled by a research team led by Dr. Kwang-Tsao Shao, who has retired from the Biodiversity Research Center at Academia Sinica. The specimens were collected from the waters surrounding Taiwan between May 2004 and February 2023, ranging from northern Taiwan to Taiping Island in the South China Sea. The majority of the sampling stations were concentrated in the western waters of Taiwan.

Description des étapes de la méthode:

All DNA sequences were analyzed using the NCBI and BOLD databases in 2024 for species identification. Specimens exhibiting a similarity of over 99% were identified at the species level, while those with a similarity between 97% and 98.99% were identified at the genus level. Molecular identification techniques were applied to classify fish eggs and larvae to the species or genus level whenever feasible.

Métadonnées additionnelles

Identifiants alternatifs	1ccbbf52-46c3-42ca-a04f-251b72749fa3
	https://ipt.taibif.tw/resource?r=taiwanfishlarvaedb