Structural and Biochemical Insights into the Function and Evolution of Sulfoquinovosidases

被引:28
作者
Abayakoon, Palika [1 ,2 ]
Jin, Yi [3 ]
Lingford, James P. [4 ,5 ]
Petricevic, Marija [1 ,2 ]
John, Alan [4 ,5 ]
Ryan, Eileen [1 ,2 ]
Mui, Janice Wai-Ying [1 ,2 ]
Pires, Douglas E., V [2 ,6 ]
Ascher, David B. [2 ,6 ]
Davies, Gideon J. [3 ]
Goddard-Borger, Ethan D. [4 ,5 ]
Williams, Spencer J. [1 ,2 ]
机构
[1] Univ Melbourne, Sch Chem, Parkville, Vic 3010, Australia
[2] Univ Melbourne, Mol Sci & Biotechnol Inst Bio21, Parkville, Vic 3010, Australia
[3] Univ York, Dept Chem, York Struct Biol Lab, Heslington TO10 5DD, England
[4] Walter & Eliza Hall Inst Med Res, ACRF Chem Biol Div, Parkville, Vic 3010, Australia
[5] Univ Melbourne, Dept Med Biol, Parkville, Vic 3010, Australia
[6] Univ Melbourne, Dept Biochem & Mol Biol, Parkville, Vic 3010, Australia
基金
澳大利亚国家健康与医学研究理事会; 欧洲研究理事会; 澳大利亚研究理事会;
关键词
SULFUR CYCLE; PROTEIN STABILITY; DEGRADATION; SULFOLIPIDS; METABOLISM; SERVER;
D O I
10.1021/acscentsci.8b00453
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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 alpha-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.
引用
收藏
页码:1266 / 1273
页数:8
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