http://www.cnr.it/ontology/cnr/individuo/prodotto/ID167694

Development of a universal microarray based on the ligation detection reaction and 16S rRNA gene polymorphism to target diversity of cyanobacteria (Articolo in rivista)

Type

Prodotto della ricerca (Classe)
Articolo in rivista (Classe)

Label

Development of a universal microarray based on the ligation detection reaction and 16S rRNA gene polymorphism to target diversity of cyanobacteria (Articolo in rivista) (literal)

Anno

2004-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

10.1128/AEM.70.12.7161-7172.2004 (literal)

Alternative label

Bianca Castiglioni; 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; De Gianluca Bellis (2004)
Development of a universal microarray based on the ligation detection reaction and 16S rRNA gene polymorphism to target diversity of cyanobacteria
in Applied and environmental microbiology (Print); ASM, American society for microbiology, Washington, DC (Stati Uniti d'America)
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Bianca Castiglioni; 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; De Gianluca Bellis (literal)

Pagina inizio

7161 (literal)

Pagina fine

7172 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

70 (literal)

Rivista

Applied and environmental microbiology (Rivista)

Note

ISI Web of Science (WOS) (literal)
Scopus (literal)
Google Scholar (literal)
PubMe (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Bianca Castiglioni - IBBA-CNR, Milano; Ermanno Rizzi, Andrea Frosini, Clarissa Consolandi, Roberta Bordoni, Alessandra Mezzelani, De Gianluca Bellis - ITB-CNR, Segrate (MI); Cristina Battaglia - Department of Biomedical Sciences and Technology, University of Milan, Segrate (MI); Maria Angela Mugnai, Stefano Ventura - ISE-CNR, Sesto Fiorentino (FI); Kaarina Sivonen; Pirjo Rajaniemi; Anne Rantala - Department of Applied Chemistry and Microbiology, Viikki Biocenter, University of Helsinki, Helsinki, Finland; Annick Wilmotte, Christophe Boutte, Stana Grubisic, Pierre Balthasart - Center for Protein Engineering, Institute of Chemistry, University of Liege, Liege, Belgium (literal)

Titolo

Development of a universal microarray based on the ligation detection reaction and 16S rRNA gene polymorphism to target diversity of cyanobacteria (literal)

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. (literal)

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