4.6 Article

Mapping the development of a Dinophysis bloom in a shellfish aquaculture area using a novel molecular qPCR assay

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HARMFUL ALGAE
卷 116, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.hal.2022.102253

关键词

Diarrhetic shellfish toxins; Dinophysis; Diarrhetic shellfish poisoning; qPCR; Shellfish

资金

  1. Food Agility CRC Ltd
  2. Commonwealth Government CRC Program
  3. Department of Primary Industries
  4. University of Technology Sydney
  5. NSW Food Authority and the shellfish industry
  6. Fisheries Research and Development Corporation Project [2017:203]

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This article describes a qPCR-based method for detecting species of the marine dinoflagellate Dinophysis that produce diarrhea shellfish toxins. The method is specific, efficient, and sensitive, and shows no cross-reactivity with other phytoplankton taxa.
Diarrhetic shellfish toxins produced by certain species of the marine dinoflagellate Dinophysis can accumulate in shellfish in high concentrations, representing a significant food safety issue worldwide. This risk is routinely managed by monitoring programs in shellfish producing areas, however the methods used to detect these harmful marine microbes are not usually automated nor conducted onsite, and are often expensive and require specialized expertise. Here we designed a quantitative real-time polymerase chain reaction (qPCR) assay based on the ITS-5.8S ribosomal region of Dinophysis spp. and evaluated its specificity, efficiency, and sensitivity to detect species belonging to this genus. We designed and tested twenty sets of primers pairs using three species of Dinophysis -D. caudata, D. fortii and D. acuminata. We optimized a qPCR assay using the primer pair that sufficiently amplified each of the target species (Dacu_11F/Dacu_11R), and tested this assay for cross-reactivity with other dinoflagellates and diatoms in the laboratory (11 species) and in silico 8 species (15 strains) of Dinophysis, 3 species of Ornithocercus and 2 species of Phalacroma. The qPCR assay returned efficiencies of 92.4% for D. caudata, 91.3% for D fortii, and 91.5% for D. acuminata, while showing no cross-reactivity with other phytoplankton taxa. Finally, we applied this assay to a D. acuminata bloom which occurred in an oyster producing estuary in south eastern Australia, and compared cell numbers inferred by qPCR to those determined by microscopy counts (max abund.-6.3 x 10(3) and 5.3 x 10(3) cells L-1 respectively). Novel molecular tools such as qPCR have the potential to be used on-farm, be automated, and provide an early warning for the management of harmful algal blooms.

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