Effects of Glucosylation and O-Acetylation on the Conformation of Shigella flexneri Serogroup 2 O-Antigen Vaccine Targets

Hlozek, Jason and Ravenscroft, Neil and Kuttel, Michelle M. (2020) Effects of Glucosylation and O-Acetylation on the Conformation of Shigella flexneri Serogroup 2 O-Antigen Vaccine Targets, Journal of Physical Chemistry B, 124, 2806−2814, American Chemical Society.

Full text not available from this repository. (Use alternate locations listed below)

Abstract

Shigellosis is an enteric disease with high morbidity and mortality, particularly in developing countries. There is currently no licensed vaccine available. Most infection is caused by Shigella flexneri, of which 30 serotypes have been recognized based on O-antigen polysaccharide structure. Almost all S. flexneri serotypes share the same repeating unit backbone (serotype Y), with varying glucosylation, Oacetylation and phosphorylation. The O-antigen is the primary vaccine target; the vaccine valency (and hence cost) can be reduced by crossprotection. Our planned systematic conformational study of S. flexneri starts here with 2a, the dominant cause of infection globally. We employ microsecond molecular dynamics simulations to compare the conformation of the unsubstituted serotype Y backbone with the serogroup 2 O-antigens, to investigate the effect of glucosylation and O-acetylation (O-factor 9) on conformation. We find that serotype Y is highly flexible, whereas glucosylation in 2a restricts flexibility and induces C-curve conformations. Further, the glucose side-chains adopt two distinct conformations, corroborated by the antibody-bound crystal structure data. Additional substitution on O-3 of rhamnose A (whether O-acetylation in 2a or glucosylation in 2b) induces helical conformations. Our results suggest that the O-3-acetylated 2a antigen will elicit cross-protection against 2b, as well as other serotypes containing O-factor 9.

Item Type: Journal article (paginated)
Subjects: Applied computing > Life and medical sciences > Computational biology
Applied computing > Life and medical sciences > Computational biology > Molecular structural biology
Computing methodologies > Modeling and simulation > Simulation types and techniques > Molecular simulation
Applied computing > Physical sciences and engineering > Chemistry
Date Deposited: 11 Aug 2020 11:44
Last Modified: 11 Aug 2020 11:44
URI: http://pubs.cs.uct.ac.za/id/eprint/1381

Actions (login required)

View Item View Item