Literature DB >> 21930671

Population length variability and nucleoid numbers in Escherichia coli.

Chaitanya A Athale1, Hemangi Chaudhari.   

Abstract

MOTIVATION: Cell sizes and shapes are a fundamental defining characteristic of all cellular life. In bacteria like Escherichia coli, the machinery that determines cell length is complex and interconnected, spanning extracellular cues, biosynthesis and cell division. Few tools exist to study cell lengths in a population. We have developed and tested three automated image analysis routines on growing E.coli cultures to simultaneously measure cell lengths and nucleoid numbers in populations of bacteria. We find population profiles changing with culture density-higher density of culture leads to fewer long cells. Additionally, lab strains mutant for recA show a correlation between the number of nucleoids and cell length. CONTACT: cathale@iiserpune.ac.in; chaitanya.athale@gmail.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2011        PMID: 21930671     DOI: 10.1093/bioinformatics/btr501

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  Quantifying Intracellular Particle Flows by DIC Object Tracking.

Authors:  Anushree R Chaphalkar; Yash K Jawale; Dhruv Khatri; Chaitanya A Athale
Journal:  Biophys J       Date:  2021-01-11       Impact factor: 4.033

2.  Bacterial growth, detachment and cell size control on polyethylene terephthalate surfaces.

Authors:  Liyun Wang; Daming Fan; Wei Chen; Eugene M Terentjev
Journal:  Sci Rep       Date:  2015-10-14       Impact factor: 4.379

3.  Automated Multi-Peak Tracking Kymography (AMTraK): A Tool to Quantify Sub-Cellular Dynamics with Sub-Pixel Accuracy.

Authors:  Anushree R Chaphalkar; Kunalika Jain; Manasi S Gangan; Chaitanya A Athale
Journal:  PLoS One       Date:  2016-12-19       Impact factor: 3.240

4.  Stochastic Individual-Based Modeling of Bacterial Growth and Division Using Flow Cytometry.

Authors:  Míriam R García; José A Vázquez; Isabel G Teixeira; Antonio A Alonso
Journal:  Front Microbiol       Date:  2018-01-05       Impact factor: 5.640

5.  Threshold effect of growth rate on population variability of Escherichia coli cell lengths.

Authors:  Manasi S Gangan; Chaitanya A Athale
Journal:  R Soc Open Sci       Date:  2017-02-22       Impact factor: 2.963

6.  Filamentation and restoration of normal growth in Escherichia coli using a combined CRISPRi sgRNA/antisense RNA approach.

Authors:  Andrea Mückl; Matthaeus Schwarz-Schilling; Katrin Fischer; Friedrich C Simmel
Journal:  PLoS One       Date:  2018-09-11       Impact factor: 3.240

  6 in total

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