A multi-omics concentration-response framework uncovers novel understanding of triclosan effects in the chlorophyte Scenedesmus vacuolatus.
Concentration-response modelling
Metabolic pathway
Microalgae
Multi-omics
Toxicity
Journal
Journal of hazardous materials
ISSN: 1873-3336
Titre abrégé: J Hazard Mater
Pays: Netherlands
ID NLM: 9422688
Informations de publication
Date de publication:
05 Oct 2020
05 Oct 2020
Historique:
received:
15
01
2020
revised:
28
03
2020
accepted:
11
04
2020
pubmed:
4
5
2020
medline:
15
5
2021
entrez:
4
5
2020
Statut:
ppublish
Résumé
In aquatic ecosystems, the biocide triclosan represents a hazard for the non-target microalgae. So far, algal responses were mainly investigated at apical levels hampering the acquisition of a holistic view on primary, adaptive, and compensatory stress responses. We assessed responses of the chlorophyte Scenedesmus vacuolatus to triclosan at apical (growth, photosynthesis) and molecular (transcriptome, metabolome) levels for comparative pathway sensitivity analysis. For each responsive signal (contigs, metabolites), a concentration-response curve was modeled and effect concentrations were calculated leading to the setting of cumulative sensitivity distributions. Molecular responses showed higher sensitivity than apical observations. The functional annotation of contigs and metabolites revealed 118 metabolic pathways putatively impaired by triclosan, highlighting a wide repercussion on the algal metabolism. Metabolites involved in the lipid metabolism showed decreasing trends along the concentration gradient and a globally highest sensitivity, pointing to the primary target of triclosan. The pathways involved in xenobiotic degradation and membrane transporters were mainly regulated in the transcriptome with increasing response trends comprising compensatory responses. The suggested novel approach, combining apical and multi-omics analyses in a concentration-response framework improves mechanistic understanding and mode of action analysis on non-targeted organisms and is suggested to better implement high-throughput multi-omics data in environmental risk assessment.
Identifiants
pubmed: 32361673
pii: S0304-3894(20)30716-0
doi: 10.1016/j.jhazmat.2020.122727
pii:
doi:
Substances chimiques
Water Pollutants, Chemical
0
Triclosan
4NM5039Y5X
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
122727Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known Competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.