Development of an Absolute Quantitative Real-Time PCR (qPCR) for the Diagnosis of Aeromonas hydrophila Infections in Fish

Sebastião, Fernanda de Alexandre; Lemos, Eliana Gertrudes de Macedo; Pilarski, Fabiana

doi:10.31080/asmi.2018.01.0034

Cited by 14 publications

(1 citation statement)

References 22 publications

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“…The amplified product was 130 bp long. Quantification of A. hydrophila was conducted using the specific primers for gene encoding the Aeromonas hydrophila adhesin ( ahaI ), according to Sebastião et al 67 : forward primer 5’-GAGAAGGTGACCACCAAGAACA-3′, reverse primer 5′-GAGATGTCAGCCTTGTAGAGCT-3′. The product length was 200 bp.…”

Section: Methodsmentioning

confidence: 99%

Relationships between Legionella and Aeromonas spp. and associated lake bacterial communities across seasonal changes in an anthropogenic eutrophication gradient

Grabowska-Grucza,

Kiersztyn

2023

Sci Rep

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Anthropogenic eutrophication of lakes threatens their homeostasis and carries an increased risk of development of potentially pathogenic microorganisms. In this paper we show how eutrophication affects seasonal changes in the taxonomic structure of bacterioplankton and whether these changes are associated with the relative abundance of pathogenic bacteria of the genera Legionella and Aeromonas. The subject of the study was a unique system of interconnected lakes in northern Poland (Great Masurian Lakes system), characterized by the presence of eutrophic gradient. We found that the taxonomic structure of the bacterial community in eutrophic lakes was significantly season dependent. No such significant seasonal changes were observed in meso-eutrophic lakes. We found that there is a specific taxonomic composition of bacteria associated with the occurrence of Legionella spp. The highest positive significant correlations were found for families Pirellulaceae, Mycobacteriaceae and Gemmataceae. The highest negative correlations were found for the families Sporichthyaceae, Flavobacteriaceae, the uncultured families of class Verrucomicrobia and Chitinophagaceae. We used also an Automatic Neural Network model to estimate the relative abundance of Legionella spp. based on the relative abundance of dominant bacterial families. In the case of Aeromonas spp. we did not find a clear relationship with bacterial communities inhabiting lakes of different trophic state. Our research has shown that anthropogenic eutrophication causes significant changes in the taxonomic composition of lake bacteria and contributes to an increase in the proportion of potentially pathogenic Legionella spp.

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Section: Methodsmentioning

confidence: 99%