Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Structural and biochemical insights into the function and evolution of sulfoquinovosidases

Abayakoon, Palika, Jin, Yi, Lingford, James P., Petricevic, Marija, John, Alan, Ryan, Eileen, Wai-Ying Mui, Janice, Pires, Douglas E.V., Ascher, David B., Davies, Gideon J., Goddard-Borger, Ethan D. and Williams, Spencer J. 2018. Structural and biochemical insights into the function and evolution of sulfoquinovosidases. ACS Central Science 4 (9) , pp. 1266-1273. 10.1021/acscentsci.8b00453

[img]
Preview
PDF (Final version) - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (7MB) | Preview

Abstract

An estimated 10 billion tonnes of sulfoquinovose (SQ) are produced and degraded each year. Prokaryotic sulfoglycolytic pathways catabolize sulfoquinovose (SQ) liberated from plant sulfolipid, or its delipidated form α-d-sulfoquinovosyl glycerol (SQGro), through the action of a sulfoquinovosidase (SQase), but little is known about the capacity of SQ glycosides to support growth. Structural studies of the first reported SQase (Escherichia coli YihQ) have identified three conserved residues that are essential for substrate recognition, but crossover mutations exploring active-site residues of predicted SQases from other organisms have yielded inactive mutants casting doubt on bioinformatic functional assignment. Here, we show that SQGro can support the growth of E. coli on par with d-glucose, and that the E. coli SQase prefers the naturally occurring diastereomer of SQGro. A predicted, but divergent, SQase from Agrobacterium tumefaciens proved to have highly specific activity toward SQ glycosides, and structural, mutagenic, and bioinformatic analyses revealed the molecular coevolution of catalytically important amino acid pairs directly involved in substrate recognition, as well as structurally important pairs distal to the active site. Understanding the defining features of SQases empowers bioinformatic approaches for mapping sulfur metabolism in diverse microbial communities and sheds light on this poorly understood arm of the biosulfur cycle.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Chemistry
Publisher: American Chemical Society
ISSN: 2374-7943
Date of First Compliant Deposit: 25 September 2018
Date of Acceptance: 23 August 2018
Last Modified: 16 Oct 2018 09:19
URI: http://orca.cf.ac.uk/id/eprint/115238

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics