Multiple conserved states characterize the twist landscape of the bacterial actin homolog MreB

被引:1
作者
Knapp, Benjamin D. [1 ]
Ward, Michael D. [2 ,3 ]
Bowman, Gregory R. [2 ,3 ]
Shi, Handuo [4 ,5 ]
Huang, Kerwyn Casey [1 ,4 ,5 ,6 ]
机构
[1] Stanford Univ, Biophys Program, Stanford, CA 94305 USA
[2] Washington Univ, Dept Biochem & Mol Biophys, Sch Med, St Louis, MO 63130 USA
[3] Washington Univ, Ctr Sci & Engn Living Syst, St Louis, MO 63130 USA
[4] Stanford Univ, Dept Microbiol & Immunol, Sch Med, Stanford, CA 94305 USA
[5] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[6] Chan Zuckerberg Biohub, San Francisco, CA 94158 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
Chiral twist; Bacterial cytoskeleton; Actin homologs; Molecular dynamics; Deep learning; DiffNets; CELL-WALL SYNTHESIS; MOLECULAR-DYNAMICS; PROTEIN; DIVISION; SHAPE; FTSZ; MECHANISM; ROTATION; GEOMETRY; REVEALS;
D O I
10.1016/j.csbj.2022.10.008
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Filament formation by cytoskeletal proteins is critical to their involvement in myriad cellular processes. The bacterial actin homolog MreB, which is essential for cell-shape determination in many rod-shaped bacteria, has served as a model system for studying the mechanics of cytoskeletal filaments. Previous molecular dynamics (MD) simulations revealed that the twist of MreB double protofilaments is depen-dent on the bound nucleotide, as well as binding to the membrane or the accessory protein RodZ, and MreB mutations that modulate twist also affect MreB spatial organization and cell shape. Here, we show that MreB double protofilaments can adopt multiple twist states during microsecond-scale MD simula-tions. A deep learning algorithm trained only on high-and low-twist states robustly identified all twist conformations across most perturbations of ATP-bound MreB, suggesting the existence of a conserved set of states whose occupancy is affected by each perturbation to MreB. Simulations replacing ATP with ADP indicated that twist states were generally stable after hydrolysis. These findings suggest a rich twist landscape that could provide the capacity to tune MreB activity and therefore its effects on cell shape.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/).
引用
收藏
页码:5838 / 5846
页数:9
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