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Updated: Jun 25, 2025

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DNA-based Fish Species Identification Protocol
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CoSFISH:一个关于鱼类COI和18SrRNA条形码的全面参考数据库
Yuanyuan Wang1, Yexin Yang1,2, Yi Liu1
1Key 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.
概括
一个新的在线鱼类数据库,CoSFISH,为超过21000个物种提供了广泛的细胞氧化酶I和18SrRNA序列. 这种资源有助于鱼类识别,植物遗传学和进化研究.
科学领域:
- 水生生物学 水生生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 鱼对水生生态系统和经济至关重要.
- 由于参考序列的有限性,难以在物种层面上识别鱼类.
- 缺乏一个全面的鱼类参考序列数据库.
研究的目的:
- 开发COSFISH,一个关于鱼类参考序列的在线数据库.
- 为序列比较,对齐和原料设计提供综合分析工具.
- 支持鱼类多样性,植物遗传学和进化研究.
主要方法:
- 编译了21535个细胞染色体氧化酶I和1074个18S rRNA序列.
- 包括8个类和90个类别的21589种鱼类的数据.
- 集成在线工具用于序列分析和原料设计.
主要成果:
- CoSFISH数据库建立了广泛的鱼类遗传数据.
- 在线工具可以直接分析数据和用户上传的数据处理.
- 数据库支持鱼类学中的各种研究应用.
结论:
- CoSFISH是鱼类研究的一个有价值的,全面的资源.
- 集成的工具提高了植物遗传学和进化研究的可用性.
- 促进了对鱼类生物多样性和演化理解的进展.
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