In silico site-directed mutagenesis of the Daphnia magna ecdysone receptor identifies critical amino acids for species-specific and inter-species differences in agonist binding

Autor: Ingebrigt Sylte, You Song, Knut Erik Tollefsen, Kurt Kristiansen, Linn Samira Mari Evenseth
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Agonist
medicine.drug_class
Health
Toxicology and Mutagenesis

In silico
Daphnia magna
010501 environmental sciences
Toxicology
01 natural sciences
03 medical and health sciences
MM-GBSA calculations
medicine
Agonist binding pocket
Homology modeling
Site-directed mutagenesis
030304 developmental biology
0105 earth and related environmental sciences
chemistry.chemical_classification
0303 health sciences
biology
Ecdysone receptor
Mutagenesis
fungi
VDP::Medisinske Fag: 700::Basale medisinske
odontologiske og veterinærmedisinske fag: 710

biology.organism_classification
VDP::Medical disciplines: 700::Basic medical
dental and veterinary science disciplines: 710

Computer Science Applications
Amino acid
In silico mutagenicity
chemistry
Biochemistry
hormones
hormone substitutes
and hormone antagonists
Zdroj: Computational Toxicology
Popis: Source at https://doi.org/10.1016/j.comtox.2019.100091. Molting is an essential process in the life cycle of arthropods and is regulated by complex neuroendocrine pathways where activation of the ecdysone receptor (EcR) plays a major role. The EcR forms a non-covalent heterodimer with the ultraspiracle protein (USP) when activated by endogenous ecdysteroids, but can also be activated by several insecticides and other environmental chemicals. Environmental release of exogenous chemicals may thus represent a risk to non-target species due to phylogenetic conservation of the EcR in arthropods. In the present study, structural analysis and homology models of the EcR from the freshwater crustacean Daphnia magna were used to characterise the agonist binding pocket and identify amino acids responsible for differences in agonist binding between arthropod species. The analysis showed that the binding pockets of steroidal and non-steroidal agonists are partly overlapping, and the phylogenetically conserved Thr59 is a key residue for binding both types of agonists. In silico site-directed mutagenesis and MM-GBSA dG calculations revealed that Cys100 (D. magna numbering) is a structural determinant for cross species affinities. Other determinants are Val129 for both types of agonists, Thr132 for steroidal agonists and Asp134 for non-steroidal agonists. The present results can be used to predict cross species sensitivity for EcR agonists, and shows that homology modelling and affinity predictions may contribute to identifying susceptible species for EcR-mediated endocrine disruption.
Databáze: OpenAIRE