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Effects of the antidepressant paroxetine on migratory behaviour of meiobenthic nematodes: Computational and open experimental microcosm approach
Ishak, S.; Allouche, M.; Harrath, A.H.; Alwasel, S.; Beyrem, H.; Pacioglu, O.; Badraoui, R.; Boufahja, F. (2022). Effects of the antidepressant paroxetine on migratory behaviour of meiobenthic nematodes: Computational and open experimental microcosm approach. Mar. Pollut. Bull. 177: 113558. https://dx.doi.org/10.1016/j.marpolbul.2022.113558
In: Marine Pollution Bulletin. Macmillan: London. ISSN 0025-326X; e-ISSN 1879-3363, meer
Peer reviewed article  

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Trefwoorden
    Nematoda [WoRMS]
    Marien/Kust
Author keywords
    Open microcosms; Free-living marine nematodes; Computational analyses; Migratory behaviour; Paroxetine; Taxonomic diversity

Auteurs  Top 
  • Ishak, S.
  • Allouche, M.
  • Harrath, A.H.
  • Alwasel, S.
  • Beyrem, H.
  • Pacioglu, O.
  • Badraoui, R.
  • Boufahja, F.

Abstract
    An open experimental setup was established in order to explore the toxic effects of the antidepressant paroxetine on meiobenthic nematodes. Three types of microcosms made from polyvinyl chloride tubes, each comprising two sediments compartments (upper and lower), were used in a laboratory experiment for 15 days. The experimental setup targeted the migratory behaviour of the nematofauna from the above compartments, which were exposed to paroxetine (0.4 and 40 μg.l−1), towards below compartments. The univariate indices significantly decrease in the contaminated compartments compared to controls. Multivariate analyses revealed also significant taxonomic dissimilarities between contaminated and uncontaminated compartments. Furthermore, SIMPER functional outcomes highlighted a significant decrease in 2A feeding groups, ‘co’ tail shape, 1–2 mm interval length, ‘cr’ amphid shape, and c-p2 life history in contaminated compartments. Computational approach showed that paroxetine bound GLD-3 and SDP with high affinities, which together with molecular interactions and toxicokinetics satisfactorily explain the experimental results.

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