ArticleMarine biotechnology (New York, N.Y.)2026
Standardization of A Method for the Detection of the Genus Prorocentrum, A Dinoflagellate Present in Harmful Algae Blooms (habs) in San Jorge Antofagasta Bay by Digital Droplet Pcr (ddPCR).
Article in Marine biotechnology (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent surge in algal blooms, known as Harmful Algal Blooms (HABs), poses significant ecological and economic challenges globally. Consequently, there is a growing emphasis on regular coastal surveillance to promptly identify HAB species and mitigate or minimize their adverse effects. The integration of molecular techniques alongside traditional microscopy-based methods has emerged as a promising approach for coastal monitoring. However, the availability of such data is currently limited to a select group of species. In response to these obstacles, a novel protocol has been devised for the differentiation of dinoflagellates belonging to the genus Prorocentrum using droplet digital PCR (ddPCR) in both laboratory (Ls) and environmental (Es) samples. This study employed ddPCR technology to quantify the 18 S rRNA gene copies per cell, ranging from 1 to 100 cells, by implementing capillary pipetting isolation procedure specifically for Prorocentrum triestinum species. A strong positive correlation of (r2 = 0.9923) was observed during the quantification of 18 S rRNA gene copies in P. triestinum cells. The copies per cell of P. triestinum determined through ddPCR for both Ls and Es samples were found to be approximately 2000 ± 176 and 1862 ± 136, respectively. This research effectively demostrated the development of primers for identifying the Prorocentrum genus and the precise quantification of 18 S rRNA copies within Prorocentrum triestinum cells using ddPCR technology.
Indexed as
Identifiers
41779195What OpenQuestion holds
Registered trials
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.