Biodiversity of Philippine marine fishes: A DNA barcode reference library based on voucher specimens

Author:

Bemis Katherine E.ORCID,Girard Matthew G.,Santos Mudjekeewis D.,Carpenter Kent E.,Deeds Jonathan R.,Pitassy Diane E.,Flores Nicko Amor L.,Hunter Elizabeth S.ORCID,Driskell Amy C.,Macdonald Kenneth S.,Weigt Lee A.,Williams Jeffrey T.

Abstract

AbstractAccurate identification of fishes is essential for understanding their biology and to ensure food safety for consumers. DNA barcoding is an important tool because it can verify identifications of both whole and processed fishes that have had key morphological characters removed (e.g., filets, fish meal); however, DNA reference libraries are incomplete, and public repositories for sequence data contain incorrectly identified sequences. During a nine-year sampling program in the Philippines, a global biodiversity hotspot for marine fishes, we developed a verified reference library of cytochrome c oxidase subunit I (COI) sequences for 2,525 specimens representing 984 species. Specimens were primarily purchased from markets, with additional diversity collected using rotenone or fishing gear. Species identifications were verified based on taxonomic, phenotypic, and genotypic data, and sequences are associated with voucher specimens, live-color photographs, and genetic samples catalogued at Smithsonian Institution, National Museum of Natural History. The Biodiversity of Philippine Marine Fishes dataset is released herein to increase knowledge of species diversity and distributions and to facilitate accurate identification of market fishes.

Funder

U.S. Department of Health & Human Services | U.S. Food and Drug Administration

Smithsonian | National Museum of Natural History

United States Department of Commerce | NOAA | National Marine Fisheries Service, National Oceanic and Atmospheric Administration

Department of Agriculture

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference42 articles.

1. GAO. Seafood fraud: FDA program changes and better collaboration among key federal agencies could improve detection and prevention. GAO-09-258. United States Government Accountability Office, Washington, D.C., USA. (2009).

2. NOAA. Presidential Task Force on Combating Illegal Unreported and Unregulated (IUU) Fishing and Seafood Fraud Action Plan. Federal Register 80, 66867–66879 (2015).

3. Handy, S. M. et al. A single laboratory validated method for the generation of DNA barcodes for the identification of fish for regulatory compliance. J. AOAC Int. 94, 201–210 (2011).

4. Deeds, J. R. et al. Protocol for building a reference standard sequence library for DNA-based seafood identification. J. AOAC Int. 97, 1–8 (2014).

5. Eischeid, A. C., Stadig, S. R., Handy, S. M., Fry, F. S. & Deeds, J. R. Optimization and evaluation of a method for the generation of DNA barcodes for the identification of crustaceans. LWT Food Sci. Tech. 73, 357–367 (2016).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3