Evidence map›Paper›PMID 32913356›Full record

ArticlePloS one2020

The first characterization of airborne cyanobacteria and microalgae in the Adriatic Sea region.

Kinga A Wiśniewska, Sylwia Śliwińska-Wilczewska, Anita U Lewandowska

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Kinga A WiśniewskaDivision of Marine Chemistry and Environmental Protection, Institute of Oceanography, University of Gdansk, Gdynia, Pomerania, Poland.ORCID 0000-0002-3147-6605
Sylwia Śliwińska-WilczewskaDivision of Marine Ecosystems Functioning, Institute of Oceanography, University of Gdansk, Gdynia, Pomerania, Poland.
Anita U LewandowskaDivision of Marine Chemistry and Environmental Protection, Institute of Oceanography, University of Gdansk, Gdynia, Pomerania, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of airborne cyanobacteria and microalgae as well as their negative impacts on human health have been documented by many researchers worldwide. However, studies on cyanobacteria and microalgae are few compared with those on bacteria and viruses. Research is especially lacking on the presence and taxonomic composition of cyanobacteria and microalgae near economically important water bodies with much tourism, such as the Adriatic Sea region. Here, we present the first characterization of the airborne cyanobacteria and microalgae in this area. Sampling conducted between 11th and 15th June 2017 revealed a total of 15 taxa of airborne cyanobacteria and microalgae. Inhalation of many of the detected taxa, including Synechocystis sp., Synechococcus sp., Bracteacoccus sp., Chlorella sp., Chlorococcum sp., Stichococcus sp., and Amphora sp., poses potential threats to human health. Aside from two green algae, all identified organisms were capable of producing harmful metabolites, including toxins. Moreover, we documented the presence of the cyanobacterium Snowella sp. and the green alga Tetrastrum sp., taxa that had not been previously documented in the atmosphere by other researchers. Our study shows that the Adriatic Sea region seems to be a productive location for future research on airborne cyanobacteria and microalgae in the context of their impacts on human health, especially during the peak of tourism activity.

Indexed as

Air MicrobiologyBacterial ToxinsCyanobacteriaHumansMediterranean RegionMicroalgaePublic HealthToxins, BiologicalBacterial ToxinsToxins, Biological

Identifiers

PMID32913356
PMCPMC7482968

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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.