Literature DB >> 21138747

Development of an oligonucleotide microarray for the detection and monitoring of marine dinoflagellates.

Luca Galluzzi1, Alessandra Cegna, Silvia Casabianca, Antonella Penna, Nick Saunders, Mauro Magnani.   

Abstract

Harmful Algal Blooms (HABs), mainly caused by dinoflagellates and diatoms, have great economic and sanitary implications. An important contribution for the comprehension of HAB phenomena and for the identification of risks related to toxic algal species is given by the monitoring programs. In the microscopy-based monitoring methods, harmful species are distinguished through their morphological characteristics. This can be time consuming and requires great taxonomic expertise due to the existence of morphologically close-related species. The high throughput, automation possibility and specificity of microarray-based detection assay, makes this technology very promising for qualitative detection of HAB species. In this study, an oligonucleotide microarray targeted to the ITS1-5.8S-ITS2 rDNA region of nine toxic dinoflagellate species/clades was designed and evaluated. Two probes (45-47 nucleotides in length) were designed for each species/clade to reduce the potential for false positives. The specificity and sensitivity of the probes were evaluated with ITS1-5.8S-ITS2 PCR amplicons obtained from 20 dinoflagellates cultured strains. Cross hybridization experiments confirmed the probe specificity; moreover, the assay showed a good sensitivity, allowing the detection of up to 2 ng of labeled PCR product. The applicability of the assay with field samples was demonstrated using net concentrated seawater samples, un-spiked or spiked with known amounts of cultured cells. Despite the general application of microarray technology for harmful algae detection is not new, a peculiar group of target species/clades has been included in this new-format assay. Moreover, novelties regarding mainly the probes and the target rDNA region have allowed sensitivity improvements in comparison to previously published studies.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21138747     DOI: 10.1016/j.mimet.2010.11.024

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  12 in total

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Authors:  Lucia Barra; Maria Valeria Ruggiero; Jixin Chen; Wiebe H C F Kooistra
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-30       Impact factor: 4.223

2.  Strengths and weaknesses of microarray approaches to detect Pseudo-nitzschia species in the field.

Authors:  Lucia Barra; Maria Valeria Ruggiero; Diana Sarno; Marina Montresor; Wiebe H C F Kooistra
Journal:  Environ Sci Pollut Res Int       Date:  2012-11-28       Impact factor: 4.223

Review 3.  Molecular detection, quantification, and diversity evaluation of microalgae.

Authors:  Vinitha Ebenezer; Linda K Medlin; Jang-Seu Ki
Journal:  Mar Biotechnol (NY)       Date:  2011-12-28       Impact factor: 3.619

4.  Evolution of the MIDTAL microarray: the adaption and testing of oligonucleotide 18S and 28S rDNA probes and evaluation of subsequent microarray generations with Prymnesium spp. cultures and field samples.

Authors:  Gary R McCoy; Nicolas Touzet; Gerard T A Fleming; Robin Raine
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-30       Impact factor: 4.223

5.  Introduction to project MIDTAL: its methods and samples from Arcachon Bay, France.

Authors:  Jessica U Kegel; Yolanda Del Amo; Linda K Medlin
Journal:  Environ Sci Pollut Res Int       Date:  2012-11-22       Impact factor: 4.223

6.  Microarray testing for the presence of toxic algae monitoring programme in Galicia (NW Spain).

Authors:  Simon M Dittami; Yolanda Pazos; Melchor Laspra; Linda K Medlin
Journal:  Environ Sci Pollut Res Int       Date:  2013-05-11       Impact factor: 4.223

7.  Parallel detection of harmful algae using reverse transcription polymerase chain reaction labeling coupled with membrane-based DNA array.

Authors:  Chunyun Zhang; Guofu Chen; Chaoshuai Ma; Yuanyuan Wang; Baoyu Zhang; Guangce Wang
Journal:  Environ Sci Pollut Res Int       Date:  2013-12-13       Impact factor: 4.223

8.  Application of reverse dot blot hybridization to simultaneous detection and identification of harmful algae.

Authors:  Guo Fu Chen; Chun Yun Zhang; Yuan Yuan Wang; Wen Chen
Journal:  Environ Sci Pollut Res Int       Date:  2015-03-03       Impact factor: 4.223

9.  Seasonal dynamics of harmful algae in outer Oslofjorden monitored by microarray, qPCR, and microscopy.

Authors:  Simon M Dittami; Vladyslava Hostyeva; Elianne Sirnæs Egge; Jessica U Kegel; Wenche Eikrem; Bente Edvardsen
Journal:  Environ Sci Pollut Res Int       Date:  2013-01-17       Impact factor: 4.223

10.  Molecular tools for the selective detection of nine diatom species biomarkers of various water quality levels.

Authors:  Lucia Cimarelli; Kumar Saurabh Singh; Nguyen Thi Nhu Mai; Bidhan Chandra Dhar; Anna Brandi; Letizia Brandi; Roberto Spurio
Journal:  Int J Environ Res Public Health       Date:  2015-05-22       Impact factor: 3.390

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