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Filament Depolymerization Can Explain Chromosome Pulling during Bacterial Mitosis

Overview of attention for article published in PLoS Computational Biology, September 2011
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Title
Filament Depolymerization Can Explain Chromosome Pulling during Bacterial Mitosis
Published in
PLoS Computational Biology, September 2011
DOI 10.1371/journal.pcbi.1002145
Pubmed ID
Authors

Edward J. Banigan, Michael A. Gelbart, Zemer Gitai, Ned S. Wingreen, Andrea J. Liu

Abstract

Chromosome segregation is fundamental to all cells, but the force-generating mechanisms underlying chromosome translocation in bacteria remain mysterious. Caulobacter crescentus utilizes a depolymerization-driven process in which a ParA protein structure elongates from the new cell pole, binds to a ParB-decorated chromosome, and then retracts via disassembly, pulling the chromosome across the cell. This poses the question of how a depolymerizing structure can robustly pull the chromosome that disassembles it. We perform Brownian dynamics simulations with a simple, physically consistent model of the ParABS system. The simulations suggest that the mechanism of translocation is "self-diffusiophoretic": by disassembling ParA, ParB generates a ParA concentration gradient so that the ParA concentration is higher in front of the chromosome than behind it. Since the chromosome is attracted to ParA via ParB, it moves up the ParA gradient and across the cell. We find that translocation is most robust when ParB binds side-on to ParA filaments. In this case, robust translocation occurs over a wide parameter range and is controlled by a single dimensionless quantity: the product of the rate of ParA disassembly and a characteristic relaxation time of the chromosome. This time scale measures the time it takes for the chromosome to recover its average shape after it is has been pulled. Our results suggest explanations for observed phenomena such as segregation failure, filament-length-dependent translocation velocity, and chromosomal compaction.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 26%
Student > Ph. D. Student 15 25%
Student > Master 7 11%
Student > Doctoral Student 5 8%
Student > Bachelor 4 7%
Other 10 16%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 49%
Physics and Astronomy 10 16%
Biochemistry, Genetics and Molecular Biology 9 15%
Immunology and Microbiology 3 5%
Chemistry 2 3%
Other 4 7%
Unknown 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 September 2011.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,211
of 8,964 outputs
Outputs of similar age
#118,397
of 141,334 outputs
Outputs of similar age from PLoS Computational Biology
#102
of 118 outputs
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