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Development of a multiple-biomarker approach using the green-lipped mussel Perna viridis for marine pollution monitoring: a case study in Victoria Harbour, Hong Kong.

Authors :
Leung, Ryan Kar-Long
Jin, Ling
Kong, Hang-Kin
Su, Chen
Ren, Xingchao
Liu, Xiaoshou
Wang, Youji
Hu, Menghong
Kwok, Kevin Wing Hin
Wu, Rudolf Shiu Sun
Chui, Apple Pui-Yi
Fang, James Kar-Hei
Source :
Marine Pollution Bulletin; Sep2024, Vol. 206, pN.PAG-N.PAG, 1p
Publication Year :
2024

Abstract

Pollutants often exist as mixtures in environmental settings, creating a challenge in selecting the most effective combination of biomarkers for routine monitoring. This study was conducted seasonally in Victoria Harbour, Hong Kong, to compare the responses of nine biomarkers in the green-lipped mussel Perna viridis with respect to its tissue levels of persistent organic pollutants and heavy metals. Multivariate statistical techniques were utilised to determine the single best predictor and optimal subset of biomarkers in P. viridis for each of the four scenarios: representing overall biomarker responses in the dry season, and wet season, as well as correlating tissue levels of mixed pollutants in the dry season, and wet season. Our findings recommend lysosomal destabilisation, and the nucleic acid ratio of RNA to DNA, as the core biomarkers in P. viridis for marine pollution monitoring. The non-specificity of these biomarkers allows effective identification of pollution hotspots and guides further detailed assessment. • Mussels were used to evaluate nine biomarkers for pollution monitoring • Lysosomal destabilisation and RNA:DNA ratio are recommended predictors • Effective screening tools for pollution's biological impacts are presented [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0025326X
Volume :
206
Database :
Supplemental Index
Journal :
Marine Pollution Bulletin
Publication Type :
Academic Journal
Accession number :
179034453
Full Text :
https://doi.org/10.1016/j.marpolbul.2024.116684