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

Gonzalez-Gonzalez, Angelica; Yanez, Osvaldo; Ballesteros, Gabriel, I; Palma-Millanao, Ruben; Figueroa, Christian C.; Niemeyer, Hermann M.; Ramirez, Claudio C.

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.

Más información

Título según WOS: ID WOS:000798566400002 Not found in local WOS DB
Título de la Revista: JOURNAL OF MOLECULAR GRAPHICS & MODELLING
Volumen: 114
Editorial: Elsevier Science Inc.
Fecha de publicación: 2022
DOI:

10.1016/j.jmgm.2022.108191

Notas: ISI