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DNA Barcodes for Identifying Fish Egg Species Diversity in Summer and Autumn in the Southwest Daya Bay, China

Shile Zheng; Jianbin Lin; Fengxia Wu; Yiyong Rao; Jinrun Wang; Siyuan He; Honghui Huang; Gang Hou
Fishes · Vol. 9, Issue 12 · pp. 510 · 2024

Abstract

Identifying fish eggs and understanding fish reproductive periods are necessary for informed fishery management. However, accurate the identification of fish eggs is difficult because eggs have few distinct characters, and their morphology varies ontogenetically. Using cytochrome c oxidase subunit I, we identified fish eggs from ichthyoplankton samples collected in the summer and autumn of 2021 from southwestern Daya Bay, China. Of 567 fish eggs, 498 high-quality cytochrome c oxidase subunit I sequences were obtained, of which 116 eggs (23.3%) could be identified to species; 364 (73.1%) to genus, family and/or order; and 18 (3.6%) could not be assigned. Of 51 apparent taxa, 46 were identified to 6 orders, 19 families, and 30 genera; 20 to the species and 25 to the genus and/or family, and 1 to the order. Among these 51 taxa, 35 occurred in summer, 29 occurred in autumn, and 13 occurred in both seasons; 22 occurred only in summer and 16 only in autumn, indicating species-specific spawning periods. High-resolution photographs of eggs are provided to facilitate subsequent identification based on morphology. These results will facilitate the identification of spawning grounds and their protection, to more holistically manage fishery resources in Daya Bay, China.

Bibliographic Information

JournalFishes
PublisherMDPI
Publication Date2024-12-13
Publication Year2024
Volume9
Issue12
Pages510
Document TypeJournal Article
eISSN2410-3888
DOI10.3390/fishes9120510
SubjectFisheries; fish biology; aquaculture; aquatic ecology; fisheries management

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NARA Access CoverageOA / free full text
Journal Homepagehttps://www.mdpi.com/journal/fishes
Publisher PageOpen Publisher Page
This article is openly available from the publisher.