Taiwan Fish Eggs and Larvae DNA Barcode Database

Данные в формате DwC-A	Скачать 7 602 Записи в English (174 KB) - Частота обновления: неизвестно
Метаданные в формате EML	Скачать в English (20 KB)
Метаданные в формате RTF	Скачать в English (10 KB)

Описание

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.

Записи данных

Данные этого находка ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 7 602 записей.

Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является Biodiversity Research Center, Academia Sinica, Taiwan. Эта работа находится под лицензией Creative Commons Attribution Non Commercial (CC-BY-NC 4.0).

Регистрация в GBIF

Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 1ccbbf52-46c3-42ca-a04f-251b72749fa3. Biodiversity Research Center, Academia Sinica, Taiwan отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Taiwan Biodiversity Information Facility.

Ключевые слова

Occurrence; Specimen; Species identification; DNA Barcoding; COI

Контакты

Kwang-Tsao Shao

Originator ●
Point Of 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

Publisher

Assistant Research Fellow

Fisheries Research Institute, Ministry of Agriculture,

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

Keelung

Hui-Ling Ko

Publisher

Assistant Research Fellow

Fisheries Research Institute, Ministry of Agriculture

huilingko@gmail.com

Географический охват

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.

Ограничивающие координаты	Юг Запад [10,374, 114,362], Север Восток [26,514, 122,236]

Таксономический охват

Описание отсутсвует

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

Временной охват

Дата начала / Дата окончания	2004-05-30 / 2023-02-01

Методы сбора

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.

Охват исследования	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.

Охват исследования

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.

Описание этапа методики:

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.

Дополнительные метаданные

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