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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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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%