ORIGINAL RESEARCH article
Front. Mar. Sci.
Sec. Marine Fisheries, Aquaculture and Living Resources
Volume 12 - 2025 | doi: 10.3389/fmars.2025.1627012
A group identification method based on trace element levels of muscle tissue: a case study for Oplegnathus fasciatus in the Northern Zhejiang Waters
Provisionally accepted
- 1Zhejiang Marine Fisheries Research Institute, Zhoushan, China
- 2Key Laboratory of Sustainable Utilization Research for Fishery Resources of Zhejiang Province, Zhoushan, China
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Group discrimination is a critical prerequisite for studying fish population dynamics, implementing effective fisheries management, and evaluating the outcomes of stock enhancement programs. However, research on group differentiation of Oplegnathus fasciatus (Kroyer, 1845), an economically important species in the East China Sea, remains limited across different geographical regions. We conducted a comparative analysis of trace element concentrations, including iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), chromium (Cr), cadmium (Cd), and mercury (Hg), as well as metalloid arsenic (As), in the muscle tissues of three distinct groups of O. fasciatus: the farmed group, the Yangtze River Estuary group, and the Zhongjieshan group.Trace elements were detected using inductively coupled plasma mass spectrometry.Group classification methods such as cluster analysis, stepwise discriminant analysis, and random forest were used to differentiate the groups based on these eight trace elements. Consequently, significant differences were observed in the concentrations of Fe, Cu, Zn, Cr, As, and Hg among the groups (p < 0.05), while differences in Mn and Cr were not statistically significant (p > 0.05). Discriminant analysis showed thatcluster analysis effectively differentiated the farmed group from the Zhongjieshan group. Stepwise discriminant analysis achieved an overall accuracy of 85.1%, while the random forest model demonstrated an accuracy of 92.86%. These findings suggest that trace element concentrations could be applied to effectively distinguish among groups of O. fasciatus, with the random forest model outperforming traditional statistical methods to some extent. Our results are relevant to the activities of stock release and fisheries management.
Keywords: Parrotfish, Northwest Pacific, Aquatic animal, Zhoushan Islands, Trace Elements, ROC, AUC
Received: 12 May 2025; Accepted: 04 Jul 2025.
Copyright: © 2025 Xu, Wang, Zhou, Zhu, Fang, Wang and Zeng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Kaida Xu, Zhejiang Marine Fisheries Research Institute, Zhoushan, China
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