2022
DOI: 10.1101/2022.12.15.520425
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Chiral and nematic phases of flexible active filaments

Abstract: The emergence of large-scale order in self-organized systems relies on local interactions between individual components. During bacterial cell division, the tubulin-homolog FtsZ polymerizes into treadmilling filaments that further assemble into a cytoskeletal ring. Although minimal in vitro assays have shown the striking self-organization capacity of FtsZ filaments, such as dynamic chiral assemblies, how these large-scale structures emerge and relate to individual filament properties remains poorly understood.… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
3
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1
1

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 71 publications
0
3
0
Order By: Relevance
“…Strikingly, Figure 2b demonstrates that both HS-AFM and simulation trajectories display the same coupling between orientational order and density, independently of the specific kinetic parameters used. Furthermore, when we perform HS-AFM with an FtsZ mutant with reduced GTPase activity and greatly inhibited depolymerisation (FtsZ L169R) [9], we observe that, just like in simulations, nematic defects are not resolved over time and the system remains at lower nematic order than wild type (Figure 2d and Supplementary Movie 6). These results indicate that the our modelling approach accurately describes FtsZ treadmilling behaviour as observed experimentally and should therefore provide insight into the mechanisms underlying the filament ordering.…”
Section: Collective Filament Dynamicsmentioning
confidence: 87%
See 1 more Smart Citation
“…Strikingly, Figure 2b demonstrates that both HS-AFM and simulation trajectories display the same coupling between orientational order and density, independently of the specific kinetic parameters used. Furthermore, when we perform HS-AFM with an FtsZ mutant with reduced GTPase activity and greatly inhibited depolymerisation (FtsZ L169R) [9], we observe that, just like in simulations, nematic defects are not resolved over time and the system remains at lower nematic order than wild type (Figure 2d and Supplementary Movie 6). These results indicate that the our modelling approach accurately describes FtsZ treadmilling behaviour as observed experimentally and should therefore provide insight into the mechanisms underlying the filament ordering.…”
Section: Collective Filament Dynamicsmentioning
confidence: 87%
“…From a physics point of view, treadmilling has been often modelled as self-propulsion, where the filament centre of mass moves directionally with a certain velocity to mimic the directional filament growth [7][8][9]. While this approach might be appropriate to describe single filament dynamics, when it comes to the assembly into higher order dynamic structures, self-propelled models might not be suitable.…”
mentioning
confidence: 99%
“…HS-AFM solves the technical limitations of cryoelectron microscopy (cryo-EM) and X-ray crystallography for investigating the structural properties of proteins with intrinsically disordered regions (IDRs) . Moreover, the temporal resolution of HS-AFM supersedes other imaging tools in capturing the structural dynamics of biomolecules, the dynamics of biomolecule interactions, and the dynamics of biomolecule–organelle interactions. Here, we use HS-AFM to elucidate the full-length ORF6 protein structure and its intrinsic molecular dynamics. ORF6 appeared as oligomers, and these oligomers readily formed short or long protofilaments, especially at higher temperatures or on fluidic lipid surfaces.…”
mentioning
confidence: 99%