Modeling the effects of Irgarol 1051 on coral using lipidomic methodology for environmental monitoring and assessment

Coral is commonly selected as a bioindicator of detecting a variety of adverse factors such as photosystem II herbicide Irgarol 1051, through measuring pan-type biomarkers. To improve the effectiveness of biomonitoring, omic technologies have recently been applied to model the systemic changes in an organism. Membrane lipids create a dynamic cell structure based on the physiological state, which offers a distinct lipid profile to specifically detect environmental threats and assess the associated health risk. To demonstrate the potential of a lipidomic methodology for biomonitoring, the glycerophosphocholine (GPC) profiles of the coral Seriatopora caliendrum were observed during 3 days of Irgarol (0.1-2.0 μg/L) exposure. The lipid profile variations were modeled based on the Irgarol dose and the coral photoinhibition levels to develop an excellent quantitative model. The predominant changes correlated with the photoinhibition, decreasing the lyso-GPCs and GPCs with lower unsaturated chains and increasing GPCs with highly polyunsaturated chains, can be related to the consequence of blocking the photosynthetic electron flow based on the associated physiological roles. Other dose-specific lipid changes led to the partial exchange of PC(O-16:0/20:5) for PC(16,0/20:5) as a first-line response to counteract the membrane opening caused by Irgarol. Increased levels of the GPCs with 20:4 or 22:6 chains, which can promote mitochondrial functionality, confirmed an elevated respiration level in the coral exposed to Irgarol levels of >0.5 μg/L. Notably, plasmanylcholines with 20:4 or 22:6 chains and phosphatidylcholines with 22:6 or 22:5 chains, which can alter their membrane material properties to mitigate organelle pre-swelling and swelling in different ways, formed in the coral exposed to the 0.5 and 2.0 μg/L Irgarol levels. Such coral adaptations further predict the health risks associated with altered physiological conditions. In this study, the lipidomic methodology is demonstrated as a potential tool for environmental monitoring and assessment.