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Testing a Microarray to Detect and Monitor Toxic Microalgae in Arcachon Bay in France

Author(s): Jessica U. Kegel | Yolanda Del Amo | Laurence Costes | Linda K. Medlin

Journal: Microarrays
ISSN 2076-3905

Volume: 2;
Issue: 1;
Start page: 1;
Date: 2013;
Original page

Keywords: oligonucleotide microarrays | molecular monitoring | harmful algal blooms | HABs | toxic microalgae | 18S/28S ribosomal RNA | LSU/SSU | RNA hybridization | environmental water samples

Harmful algal blooms (HABs) occur worldwide, causing health problems and economic damages to fisheries and tourism. Monitoring agencies are therefore essential, yet monitoring is based only on time-consuming light microscopy, a level at which a correct identification can be limited by insufficient morphological characters. The project MIDTAL (Microarray Detection of Toxic Algae)—an FP7-funded EU project—used rRNA genes (SSU and LSU) as a target on microarrays to identify toxic species. Furthermore, toxins were detected with a newly developed multiplex optical Surface Plasmon Resonance biosensor (Multi SPR) and compared with an enzyme-linked immunosorbent assay (ELISA). In this study, we demonstrate the latest generation of MIDTAL microarrays (version 3) and show the correlation between cell counts, detected toxin and microarray signals from field samples taken in Arcachon Bay in France in 2011. The MIDTAL microarray always detected more potentially toxic species than those detected by microscopic counts. The toxin detection was even more sensitive than both methods. Because of the universal nature of both toxin and species microarrays, they can be used to detect invasive species. Nevertheless, the MIDTAL microarray is not completely universal: first, because not all toxic species are on the chip, and second, because invasive species, such as Ostreopsis, already influence European coasts.

Tango Rapperswil
Tango Rapperswil

RPA Switzerland

Robotic Process Automation Switzerland