Back to Search Start Over

A mutation increases the specificity to plant compounds in an insect chemosensory protein.

Authors :
González-González A
Yañez O
Ballesteros GI
Palma-Millanao R
Figueroa CC
Niemeyer HM
Ramírez CC
Source :
Journal of molecular graphics & modelling [J Mol Graph Model] 2022 Jul; Vol. 114, pp. 108191. Date of Electronic Publication: 2022 Apr 26.
Publication Year :
2022

Abstract

Host plant recognition are highly dependent on chemosensory perception, which involves chemosensory proteins (CSPs) that bind key chemical compounds the host plants. In this work, we hypothesize that two closely related aphid taxa, which differ in diet breadth, also differ in their CSPs. We detected a non-synonymous difference (lysine for asparagine) between M. persicae sensu stricto (Mpp) and the subspecies M. p. nicotianae (Mpn) in the sequence of a CSP (CSP5). We modeled in silico the binding capacity of both CSP5s variants with 163 different potential ligands from their host plants (120 unique from tobacco, 29 unique from peach, and 14 common ligands). After docking analysis with all ligands, we selected the three best ligands for each variant to perform molecular dynamics (tobacco: 2-cyclopentene-1,4-dione, salicylaldehyde, and benzoic acid; peach: phenol, valeric acid, and benzonitrile). The binding energy of the MpnCSP5 model to the studied ligands was, in all cases, lower than with the MppCSP5 model. The ligands from the host plants showed more stable binding with MpnCSP5 than with MppCSP5. This result suggests that the set of CSPs studied among M. persicae s. str. and M. p. nicotianae are very similar, but focusing on the CSP5 protein, we found a single key mutation that increases affinities for host compounds for M. p. nicotianae, which might have contributed to the specialization to tobacco. This study provides new insights into an evolutionary trend toward specificity in a binding protein.<br /> (Copyright © 2022 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-4243
Volume :
114
Database :
MEDLINE
Journal :
Journal of molecular graphics & modelling
Publication Type :
Academic Journal
Accession number :
35500361
Full Text :
https://doi.org/10.1016/j.jmgm.2022.108191