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

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.

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Publication Details

Journal
Fishes
Published
2024-12-13
DOI
https://doi.org/10.3390/fishes9120510
Citations
3
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.70

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article

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

S. Lilly Zheng, Yiyong Rao, Jian‐Bin Lin, Jinrun Wang et al.
3 citations
Fishes
Identification and Quantification in Food
0.70
article

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

S. Lilly Zheng, Yiyong Rao, Jian‐Bin Lin, Jinrun Wang, Fengxia Wu, Siyuan He, Gang Hou, Honghui Huang
article en
3 citations

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.

FishesVol. 9(12)
Chinese Academy of Fishery Sciences (CN), Guangdong Ocean University (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 28%
Identification and Quantification in Food
0.70
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