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A fast and accurate method for specific detection and quantification of the bloom-forming microalgae Karlodinium veneficum in the marine environment

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Abstract

Karlodinium veneficum is a toxic benthic globally distributed dinoflagellate which has direct impacts on human health and the environment. Early and accurate detection of this harmful algal bloom-forming species could be useful for potential risks monitoring and management. In the present work, a real-time PCR targeting the internal transcribed spacer ribosomal DNA region for the specific detection and absolute quantification of K. veneficum was designed. Then, the assay conditions were adjusted and validated. The developed qPCR was highly specific for the target species and displayed no cross-reactivity with closely related dinoflagellates and/or other microalgal species commonly distributed along the Tunisian coast. Its lowest detection limit was 5 rDNA copies per reaction, which is often considered satisfying. qPCR assay enumeration accuracy was evaluated using artificially inoculated environmental samples. The comparison of the cell abundance estimates obtained by qPCR assay with the theoretical estimates showed no statistically significant difference across a range of concentrations. We suggest that the qPCR approach developed in the present study may be a valuable tool to investigate the distribution and seasonal dynamics of K. veneficum in marine environments.

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All data generated or analysed during this study are included in this published article.

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Acknowledgements

This study was performed in the framework of the PRF-2017-D1P2 Project (2018–2022) with the financial support of Tunisian Ministry of Higher Education and Scientific Research.

Funding

The Key Program of the Tunisian Ministry of Higher Education and Scientific Research (PRF-2017-D1P2 Project (2018–2021)) funded this study.

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Ameny Farhat: Conceptualization; validation; investigation; writing, original draft; writing, review and editing. Jihen Elleuch: Conceptualization; validation; resources; data curation; writing, original draft preparation; writing, reviewing and editing. Faten Ben Amor: Formal analysis, data curation, visualization. Mohamed Barkallah: Formal analysis, data curation, writing—original draft. Kirsty F. Smith: Supervision, resources, methodology. Idriss Ben Neila: Resources acquisition. Slim Abdelkafi: Conceptualization; resources; writing, review and editing; funding acquisition. Imen Fendri: Conceptualization; supervision, writing—reviewing and editing.

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Correspondence to Imen Fendri.

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The authors declare no competing interests.

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Farhat, A., Elleuch, J., Ben Amor, F. et al. A fast and accurate method for specific detection and quantification of the bloom-forming microalgae Karlodinium veneficum in the marine environment. Environ Sci Pollut Res 29, 88699–88709 (2022). https://doi.org/10.1007/s11356-022-21667-z

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  • DOI: https://doi.org/10.1007/s11356-022-21667-z

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