Evidence map›Paper›PMID 21408606›Full record

ArticlePloS one2011

New approach using the real-time PCR method for estimation of the toxic marine dinoflagellate Ostreopsis cf. ovata in marine environment.

Federico Perini, Anna Casabianca, Cecilia Battocchi, Stefano Accoroni, Cecilia Totti, Antonella Penna

Abstract read
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Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Transcriptionally active ammonia-oxidizing nitrifiers in a surface flow constructed wetland.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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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

6 authors.

Federico PeriniDepartment of Biomolecular Sciences, University of Urbino, Pesaro, Italy.
Anna Casabianca
Cecilia Battocchi
Stefano Accoroni
Cecilia Totti
Antonella Penna

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe describe the development and validation of a new quantitative real time PCR (qrt-PCR) method for the enumeration of the toxic benthic dinoflagellate Ostreopsis cf. ovata in marine environment. The benthic Ostreopsis sp. has a world-wide distribution and is associated during high biomass proliferation with the production of potent palytoxin-like compounds affecting human health and environment. Species-specific identification, which is relevant for the complex of different toxins production, by traditional methods of microscopy is difficult due to the high morphological variability, and thus different morphotypes can be easily misinterpreted. METHODOLOGY/

findingsThe method is based on the SYBR I Green real-time PCR technology and combines the use of a plasmid standard curve with a "gold standard" created with pooled crude extracts from environmental samples collected during a bloom event of Ostreopsis cf. ovata in the Mediterranean Sea. Based on their similar PCR efficiencies (95% and 98%, respectively), the exact rDNA copy number per cell was obtained in cultured and environmental samples. Cell lysates were used as the templates to obtain total recovery of DNA. The analytical sensitivity of the PCR was set at two rDNA copy number and 8.0×10(-4) cell per reaction for plasmid and gold standards, respectively; the sensitivity of the assay was of cells g(-1) fw or 1(-1) in macrophyte and seawater samples, respectively. The reproducibility was determined on the total linear quantification range of both curves confirming the accuracy of the technical set-up in the complete ranges of quantification over time. CONCLUSIONS/SIGNIFICANCE: We developed a qrt-PCR assay specific, robust and high sample throughput for the absolute quantification of the toxic dinoflagellate Ostreopsis cf. ovata in the environmental samples. This molecular approach may be considered alternative to traditional microscopy and applied for the monitoring of benthic toxic microalgal species in the marine ecosystems.

Indexed as

Biological AssayCell FractionationDinoflagellidaDNA, RibosomalHumansMarine ToxinsReference StandardsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSeawaterDNA, RibosomalMarine Toxins

Identifiers

PMID21408606
PMCPMC3048288

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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.