Literature DB >> 15574913

Development of a universal microarray based on the ligation detection reaction and 16S rrna gene polymorphism to target diversity of cyanobacteria.

Bianca Castiglioni1, Ermanno Rizzi, Andrea Frosini, Kaarina Sivonen, Pirjo Rajaniemi, Anne Rantala, Maria Angela Mugnai, Stefano Ventura, Annick Wilmotte, Christophe Boutte, Stana Grubisic, Pierre Balthasart, Clarissa Consolandi, Roberta Bordoni, Alessandra Mezzelani, Cristina Battaglia, Gianluca De Bellis.   

Abstract

The cyanobacteria are photosynthetic prokaryotes of significant ecological and biotechnological interest, since they strongly contribute to primary production and are a rich source of bioactive compounds. In eutrophic fresh and brackish waters, their mass occurrences (water blooms) are often toxic and constitute a high potential risk for human health. Therefore, rapid and reliable identification of cyanobacterial species in complex environmental samples is important. Here we describe the development and validation of a microarray for the identification of cyanobacteria in aquatic environments. Our approach is based on the use of a ligation detection reaction coupled to a universal array. Probes were designed for detecting 19 cyanobacterial groups including Anabaena/Aphanizomenon, Calothrix, Cylindrospermopsis, Cylindrospermum, Gloeothece, halotolerants, Leptolyngbya, Palau Lyngbya, Microcystis, Nodularia, Nostoc, Planktothrix, Antarctic Phormidium, Prochlorococcus, Spirulina, Synechococcus, Synechocystis, Trichodesmium, and Woronichinia. These groups were identified based on an alignment of over 300 cyanobacterial 16S rRNA sequences. For validation of the microarrays, 95 samples (24 axenic strains from culture collections, 27 isolated strains, and 44 cloned fragments recovered from environmental samples) were tested. The results demonstrated a high discriminative power and sensitivity to 1 fmol of the PCR-amplified 16S rRNA gene. Accurate identification of target strains was also achieved with unbalanced mixes of PCR amplicons from different cyanobacteria and an environmental sample. Our universal array method shows great potential for rapid and reliable identification of cyanobacteria. It can be easily adapted to future development and could thus be applied both in research and environmental monitoring.

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Year:  2004        PMID: 15574913      PMCID: PMC535161          DOI: 10.1128/AEM.70.12.7161-7172.2004

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  24 in total

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3.  Development and evaluation of functional gene arrays for detection of selected genes in the environment.

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Journal:  Appl Environ Microbiol       Date:  2001-12       Impact factor: 4.792

4.  High-density microarray of small-subunit ribosomal DNA probes.

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5.  Cyanobacterial diversity in natural and artificial microbial mats of Lake Fryxell (McMurdo Dry Valleys, Antarctica): a morphological and molecular approach.

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6.  Tangential flow filtration and preliminary phylogenetic analysis of marine picoplankton.

Authors:  S J Giovannoni; E F DeLong; T M Schmidt; N R Pace
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7.  PCR primers to amplify 16S rRNA genes from cyanobacteria.

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Journal:  Appl Environ Microbiol       Date:  1997-08       Impact factor: 4.792

8.  Optimization strategies for DNA microarray-based detection of bacteria with 16S rRNA-targeting oligonucleotide probes.

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Journal:  Appl Environ Microbiol       Date:  2003-03       Impact factor: 4.792

9.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
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10.  Bacterial discrimination by means of a universal array approach mediated by LDR (ligase detection reaction).

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Journal:  BMC Microbiol       Date:  2002-09-20       Impact factor: 3.605

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  33 in total

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2.  New labelling technology for molecular probes applied to the ligation detection reaction-universal array system.

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3.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

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Review 4.  Microarray applications in microbial ecology research.

Authors:  T J Gentry; G S Wickham; C W Schadt; Z He; J Zhou
Journal:  Microb Ecol       Date:  2006-08-08       Impact factor: 4.552

5.  Potential of a 16S rRNA-based taxonomic microarray for analyzing the rhizosphere effects of maize on Agrobacterium spp. and bacterial communities.

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Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

6.  Application of a high-density oligonucleotide microarray approach to study bacterial population dynamics during uranium reduction and reoxidation.

Authors:  Eoin L Brodie; Todd Z Desantis; Dominique C Joyner; Seung M Baek; Joern T Larsen; Gary L Andersen; Terry C Hazen; Paul M Richardson; Donald J Herman; Tetsu K Tokunaga; Jiamin M Wan; Mary K Firestone
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7.  Novel microarray design strategy to study complex bacterial communities.

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8.  Potentials and limitations of molecular diagnostic methods in food safety.

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10.  Universal ligation-detection-reaction microarray applied for compost microbes.

Authors:  Jenni Hultman; Jarmo Ritari; Martin Romantschuk; Lars Paulin; Petri Auvinen
Journal:  BMC Microbiol       Date:  2008-12-30       Impact factor: 3.605

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