Metabolomic Study on Tridacna maxima Giant Clams Reveals Metabolic Fingerprint of Environmental Pollutants
AuthorsAlmulhim, Fatimah F.
Emwas, Abdul-Hamid M.
Kharbatia, Najeh M.
Duarte, Carlos M.
KAUST DepartmentBiological and Environmental Science and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
CoreLabs, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Environmental Lab Organics & Inorganics
Marine Science Program
Red Sea Research Center (RSRC)
Water Desalination and Reuse Research Center (WDRC)
Permanent link to this recordhttp://hdl.handle.net/10754/675840
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AbstractMetabolite profiling of marine invertebrates, such as bivalve mollusks, may not only provide insights into the health state of an individual holobiont, but also the pollution levels of their habitats. Here, we combined 1H nuclear magnetic responance (NMR) spectroscopy and mass spectrometry (MS)-based metabolomics techniques to investigate the tissue-specific metabolomic profiles of Tridacna maxima. Animals were collected from across across-shelf gradient in the Red Sea, from inshore to off-shore. We unequivocally profiled 306 metabolites and observed that the collection location had minimal effects on metabolite composition. However, we observed significant differences in metabolite profiles among different tissues (i.e., gills, mantle tissue, and digestive system). Importantly, in addition to endogenous metabolites, we detected the presence of terephthalic acid and isophthalic acid, which likely originate from marine plastic ingestion. Collectively, our study opens opportunities for a deeper understanding of Tridacna maxima physiology through metabolomics, and illustrates the power of invertebrate metabolite profiling for monitoring plastic-related aquatic pollutants.
CitationAlmulhim, F., Rossbach, S., Emwas, A.-H., Kharbatia, N. M., Jaremko, L., Jaremko, M., & Duarte, C. M. (2022). Metabolomic Study on Tridacna maxima Giant Clams Reveals Metabolic Fingerprint of Environmental Pollutants. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.813404
SponsorsAuthors want to acknowledge the funding support from the KAUST Smart Health Initiative (SHI) seed grants (LJ and MJ) and baseline funds (LJ, MJ, and CD)
Except where otherwise noted, this item's license is described as Archived with thanks to Accepted for publication in Frontiers in Marine Science under a Creative Commons license, details at: https://creativecommons.org/licenses/by/4.0/