Literature DB >> 29910142

Molecular methods for cost-efficient monitoring of HAB (harmful algal bloom) dinoflagellate resting cysts.

F Perini1, M Bastianini2, S Capellacci1, L Pugliese1, E DiPoi3, M Cabrini3, S Buratti4, M Marini5, A Penna6.   

Abstract

Cyst abundance and identity are essential for understanding and predicting blooms, and for assessing the dispersal of toxic target dinoflagellate species by natural or human mediated ways, as with ballast waters. The aim of this study was to apply rapid, specific and sensitive qPCR assays to enumerate toxic dinoflagellate cysts in sediment samples collected from Adriatic harbours. The molecular standard curves of various target species allowed obtaining the rDNA copy number per cyst. The analytical sensitivity for specific standard curves was determined to be 2 or 10 rDNA copies per reaction. The abundance varied in the range of 1-747 dinoflagellate cysts g-1 dry weight. The assays showed greater sensitivity as compared to counts by light microscopy. This qPCR method revealed a powerful tool for the quantification of cysts from toxic dinoflagellate resting stages in sediment samples from Adriatic ports.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adriatic Sea; Cysts; HAB species; Microscopy; Quantitative PCR; Sediments

Year:  2018        PMID: 29910142     DOI: 10.1016/j.marpolbul.2018.06.013

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  Detection and Quantification of the Harmful Dinoflagellate Margalefidinium polykrikoides (East Asian Ribotype) in the Coastal Waters of China.

Authors:  Jiarong Hu; Ruoyu Guo; Douding Lu; Xinfeng Dai; Yuanli Zhu; Bum Soo Park; Pengbin Wang
Journal:  Toxins (Basel)       Date:  2022-01-25       Impact factor: 4.546

Review 2.  Mediterranean alien harmful algal blooms: origins and impacts.

Authors:  Christina Marampouti; Anita G J Buma; M Karin de Boer
Journal:  Environ Sci Pollut Res Int       Date:  2020-08-17       Impact factor: 4.223

  2 in total

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