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  1. National Taiwan Ocean University Research Hub
  2. 生命科學院
  3. 海洋生物研究所
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/26434
Title: Establishing a COI DNA barcoding reference database for Taiwanese coastal fish species from egg and larvae specimens
Authors: Shao, Kwang-Tsao 
Ko, Hui-Ling
Chiu, Yung-Chieh
Huang, Hsin-Kai
Chen, Ya-Fang
Chang, Yen-Wei
Keywords: barcoding region;COI;DNA barcoding;DNA reference database;eDNA;fish eggs;fish larvae;species identification
Issue Date: 2025
Publisher: PENSOFT PUBLISHERS
Journal Issue: 1247
Start page/Pages: 207-216
Source: ZOOKEYS
Abstract: 
Fish eggs and larval stages are essential components of marine ecosystems and play important roles in sustaining marine food webs. However, the egg and larval stages often lack distinct diagnostic characteristics, making it challenging to identify species solely based on their morphology. In this study, we applied a DNA barcoding approach targeting the cytochrome c oxidase subunit I gene to establish a comprehensive reference for fish eggs and larval material in coastal waters off Taiwan. A total of 7602 records of fish eggs and larvae were collected from marine coastal waters surrounding Taiwan between 2004 and 2023 and identified using a DNA barcoding approach. By comparing our newly generated DNA barcoding sequences with records from public reference databases, we identified 1112 different fish taxa encompassing 24 orders, 158 families, 500 genera, and 844 fish species. This DNA barcoding referencing effort will facilitate future studies on the early life stages of Taiwanese coastal marine fish communities. In addition, it will also provide an important baseline for the development of new methods, such as eDNA and DNA metabarcoding diet analysis. This database provides comprehensive spatial and temporal distribution data of fish eggs and larvae in the waters surrounding Taiwan, contributing to a better understanding of fish spawning seasons, spawning grounds, and resource fluctuations. This database enhances the accuracy of species identification and serves as a scientific foundation for biodiversity conservation and fishery resource management.
URI: http://scholars.ntou.edu.tw/handle/123456789/26434
ISSN: 1313-2989
DOI: 10.3897/zookeys.1247.151795
Appears in Collections:海洋生物研究所

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