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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Eikrem, Wenche Hostyeva, Vladyslava Kegel, Jessica U. Egge, Elianne Sirnæs Edvardsen, Bente Dittami, Simon M. |
| Spatial Coverage | Norway |
| Description | Author Affiliation: Dittami SM ( Marine Biology, Department of Biology, University of Oslo, P.O. Box 1066, Blindern, 0316, Oslo, Norway, simon.dittami@gmail.com.) |
| Abstract | Monitoring of marine microalgae is important to predict and manage harmful algal blooms. Microarray Detection of Toxic ALgae (MIDTAL) is an FP7-funded EU project aiming to establish a multi-species microarray as a tool to aid monitoring agencies. We tested the suitability of different prototype versions of the MIDTAL microarray for the monthly monitoring of a sampling station in outer Oslofjorden during a 1-year period. Microarray data from two different versions of the MIDTAL chip were compared to results from cell counts (several species) and quantitative real-time PCR (qPCR; only Pseudochattonella spp.). While results from generation 2.5 microarrays exhibited a high number of false positive signals, generation 3.3 microarray data generally correlated with microscopy and qPCR data, with three important limitations: (1) Pseudo-nitzschia cells were not reliably detected, possibly because cells were not sufficiently retained during filtration or lysed during the extraction, and because of low sensitivity of the probes; (2) in the case of samples with high concentrations of non-target species, the sensitivity of the arrays was decreased; (3) one occurrence of Alexandrium pseudogonyaulax was not detected due to a 1-bp mismatch with the genus probe represented on the microarray. In spite of these shortcomings our data demonstrate the overall progress made and the potential of the MIDTAL array. The case of Pseudochattonella - where two morphologically similar species impossible to separate by light microscopy were distinguished - in particular, underlines the added value of molecular methods such as microarrays in routine phytoplankton monitoring. |
| ISSN | 09441344 |
| Issue Number | 10 |
| Volume Number | 20 |
| e-ISSN | 16147499 |
| Journal | Environmental Science and Pollution Research |
| Language | English |
| Publisher | Springer |
| Publisher Date | 2013-10-01 |
| Publisher Place | Germany |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Environmental Monitoring Methods Harmful Algal Bloom Microscopy Oligonucleotide Array Sequence Analysis Phytoplankton Genetics Real-time Polymerase Chain Reaction Diatoms Classification Dinoflagellida Microalgae Norway Seasons Water Pollution Statistics & Numerical Data Journal Article Research Support, Non-u.s. Gov't Discipline Environmental Science Discipline Environmental Chemistry |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Chemistry Health, Toxicology and Mutagenesis Pollution Medicine |
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