Literature DB >> 23292222

Evaluation of the MIDTAL microarray chip for monitoring toxic microalgae in the Orkney Islands, U.K.

Joe D Taylor1, Marco Berzano, Linda Percy, Jane Lewis.   

Abstract

Harmful or nuisance algal blooms can cause economic damage to fisheries and tourism. Additionally, toxins produced by harmful algae and ingested via contaminated shellfish can be potentially fatal to humans. The seas around the Orkney Islands, UK currently hold a number of toxic algal species which cause shellfishery closures in most years. Extensive and costly monitoring programs are carried out to detect harmful microalgae before they reach action levels. However, the ability to distinguish between toxic and non-toxic strains of some algae is not possible using these methods. The microarrays for the detection of toxic algae (MIDTAL) microarray contains rRNA probes for toxic algal species/strains which have been adapted and optimized for microarray use. In order to investigate the use of the chip for monitoring in the Orkney Islands, samples were collected between 2009 and 2011 from Brings Deep, Scapa Flow, Orkney Islands, UK; RNA was extracted and hybridized with generation 2 and 3.1 of the chip. The data were then compared to cell counts performed under light microscopy and in the case of Alexandrium tamarense to qPCR data targeting the saxitoxin gene and the LSU-rRNA gene. A good agreement between cell numbers and microarray signal was found for A. tamarense, Pseudo-nitzschia sp., Dinophysis sp. (r<0.5, for all) in addition to this there the chip successfully detected a large bloom of Karenia mikimotoi (r<0.70) in August and September 2011. Overall, there was good improvement in probe signal between generation 2 and generation 3.1 of the chip with much less variability and more consistent results and better correlation between the probes. The chip performed well for A. tamarense group I signal to cell numbers in calibrations (r>0.9). However, in field samples, this correlation was slightly lower suggesting interactions between all species in the sample may affect signal. Overall, the chip showed it could identify the presence of target species in field samples although some work is needed to improve the quantitative nature of the chip before it would be suitable for monitoring in the Orkney Islands.

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Year:  2013        PMID: 23292222     DOI: 10.1007/s11356-012-1393-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  14 in total

1.  Studies of marine planktonic diatoms. I. Cyclotella nana Hustedt, and Detonula confervacea (cleve) Gran.

Authors:  R R GUILLARD; J H RYTHER
Journal:  Can J Microbiol       Date:  1962-04       Impact factor: 2.419

2.  Quantitative PCR coupled with melt curve analysis for detection of selected pseudo-nitzschia spp. (Bacillariophyceae) from the Northwestern Mediterranean sea.

Authors:  Karl B Andree; Margarita Fernández-Tejedor; Laurence M Elandaloussi; Sonia Quijano-Scheggia; Nagore Sampedro; Esther Garcés; Jordi Camp; Jorge Diogène
Journal:  Appl Environ Microbiol       Date:  2010-12-30       Impact factor: 4.792

3.  Feasibility of transferring fluorescent in situ hybridization probes to an 18S rRNA gene phylochip and mapping of signal intensities.

Authors:  Katja Metfies; Linda K Medlin
Journal:  Appl Environ Microbiol       Date:  2008-03-07       Impact factor: 4.792

4.  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

5.  Multiplex biotoxin surface plasmon resonance method for marine biotoxins in algal and seawater samples.

Authors:  Sara E McNamee; Christopher T Elliott; Philippe Delahaut; Katrina Campbell
Journal:  Environ Sci Pollut Res Int       Date:  2012-12-19       Impact factor: 4.223

6.  A quantitative real-time PCR assay for the identification and enumeration of Alexandrium cysts in marine sediments.

Authors:  D L Erdner; L Percy; B Keafer; J Lewis; D M Anderson
Journal:  Deep Sea Res Part 2 Top Stud Oceanogr       Date:  2010-02-01       Impact factor: 2.732

7.  Co-occurrence of the West European (Gr.III) and North American (Gr.I) ribotypes of Alexandrium tamarense (Dinophyceae) in Shetland, Scotland.

Authors:  Nicolas Touzet; Keith Davidson; Romain Pete; Kalen Flanagan; Gary R McCoy; Zouher Amzil; Majella Maher; Annie Chapelle; Robin Raine
Journal:  Protist       Date:  2010-01-25

8.  Development of a real-time PCR assay for rapid detection and quantification of Alexandrium minutum (a Dinoflagellate).

Authors:  Luca Galluzzi; Antonella Penna; Elena Bertozzini; Magda Vila; Esther Garcés; Mauro Magnani
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

9.  IDENTIFICATION AND TOXICITY OF ALEXANDRIUM TAMARENSE (DINOPHYCEAE) IN SCOTTISH WATERS(1).

Authors:  C Collins; J Graham; L Brown; E Bresnan; J-P Lacaze; E A Turrell
Journal:  J Phycol       Date:  2009-05-18       Impact factor: 2.923

Review 10.  Toxic marine microalgae and shellfish poisoning in the British isles: history, review of epidemiology, and future implications.

Authors:  Stephanie L Hinder; Graeme C Hays; Caroline J Brooks; Angharad P Davies; Martin Edwards; Anthony W Walne; Mike B Gravenor
Journal:  Environ Health       Date:  2011-06-06       Impact factor: 5.984

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  2 in total

1.  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

2.  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

  2 in total

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