Evidence map›Paper›PMID 15574913›Full record

ArticleApplied and environmental microbiology2004

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

Bianca Castiglioni, Ermanno Rizzi, Andrea Frosini, Kaarina Sivonen, Pirjo Rajaniemi, Anne Rantala, Maria Angela Mugnai, Stefano Ventura, Annick Wilmotte, Christophe Boutte and 7 more

Abstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

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  17. Cyanobacteria of the genus prochlorothrix.Frontiers in microbiology · 2012
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Bianca CastiglioniInstitute of Agricultural Biology and Biotechnology, Italian National Research Council, Milan, Italy.
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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Polymorphism, GeneticBacterial Typing TechniquesCyanobacteriaDNA ProbesFresh WaterGenetic VariationLigasesOligonucleotide Array Sequence AnalysisRNA, Ribosomal, 16SSpecies SpecificityDNA ProbesLigasesRNA, Ribosomal, 16S

Identifiers

PMID15574913
PMCPMC535161

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.