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Self-Consistent Examination of Donachie's Constant Initiation Size at the Single-Cell Level

Overview of attention for article published in Frontiers in Microbiology, December 2015
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Title
Self-Consistent Examination of Donachie's Constant Initiation Size at the Single-Cell Level
Published in
Frontiers in Microbiology, December 2015
DOI 10.3389/fmicb.2015.01349
Pubmed ID
Authors

Sattar Taheri-Araghi

Abstract

How growth, the cell cycle, and cell size are coordinated is a fundamental question in biology. Recently, we and others have shown that bacterial cells grow by a constant added size per generation, irrespective of the birth size, to maintain size homeostasis. This "adder" principle raises a question as to when during the cell cycle size control is imposed. Inspired by this question, we examined our single-cell data for initiation size by employing a self-consistency approach originally used by Donachie. Specifically, we assumed that individual cells divide after constant C + D minutes have elapsed since initiation, independent of the growth rate. By applying this assumption to the cell length vs. time trajectories from individual cells, we were able to extract theoretical probability distribution functions for initiation size for all growth conditions. We found that the probability of replication initiation shows peaks whenever the cell size is a multiple of a constant unit size, consistent with the Donachie's original analysis at the population level. Our self-consistent examination of the single-cell data made experimentally testable predictions, e.g., two consecutive replication cycles can be initiated during a single cell-division cycle.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 41%
Researcher 6 19%
Student > Master 4 13%
Professor 3 9%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 41%
Biochemistry, Genetics and Molecular Biology 6 19%
Physics and Astronomy 6 19%
Immunology and Microbiology 2 6%
Engineering 2 6%
Other 2 6%
Unknown 1 3%
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 08 December 2015.
All research outputs
#20,297,343
of 22,834,308 outputs
Outputs from Frontiers in Microbiology
#22,414
of 24,813 outputs
Outputs of similar age
#326,059
of 388,741 outputs
Outputs of similar age from Frontiers in Microbiology
#333
of 400 outputs
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