A new mathematical approach predicts individual cell growth behavior using bacterial population information

Kevin R. Anderson, Neil H. Mendelson, Joseph C Watkins

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A theoretical methodology has been developed for studying the growth kinetics of bacterial cells. It utilizes the steady-state cell length distribution in a bacterial population to predict the dependency of growth and division rates on cell length and age. The mathematical model has been applied to the analysis of two bacterial populations, a wild-type strain of Bacillus subtilis, and a minicell-producing strain that carries the divIVB1 mutation. The results show that our model describes the wild-type population very well and that the assumptions typically used in traditional methods are unrealistic. In the case of the minicell-producing mutant we find evidence that the rate of cell division must be a function not only of cell size but also of cell age. (C) 2000 Academic Press.

Original languageEnglish (US)
Pages (from-to)87-94
Number of pages8
JournalJournal of Theoretical Biology
Volume202
Issue number1
DOIs
StatePublished - Jan 7 2000

Fingerprint

Cell growth
cell growth
Cells
Predict
Growth kinetics
Cell
Bacilli
Growth
Population
cells
Mathematical models
Cell Size
Cell Division
Bacillus subtilis
Mutant
Division
Mutation
Theoretical Models
Kinetics
Mathematical Model

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

Cite this

A new mathematical approach predicts individual cell growth behavior using bacterial population information. / Anderson, Kevin R.; Mendelson, Neil H.; Watkins, Joseph C.

In: Journal of Theoretical Biology, Vol. 202, No. 1, 07.01.2000, p. 87-94.

Research output: Contribution to journalArticle

@article{2aefd7a403d24da5b19ca6bddd5ab988,
title = "A new mathematical approach predicts individual cell growth behavior using bacterial population information",
abstract = "A theoretical methodology has been developed for studying the growth kinetics of bacterial cells. It utilizes the steady-state cell length distribution in a bacterial population to predict the dependency of growth and division rates on cell length and age. The mathematical model has been applied to the analysis of two bacterial populations, a wild-type strain of Bacillus subtilis, and a minicell-producing strain that carries the divIVB1 mutation. The results show that our model describes the wild-type population very well and that the assumptions typically used in traditional methods are unrealistic. In the case of the minicell-producing mutant we find evidence that the rate of cell division must be a function not only of cell size but also of cell age. (C) 2000 Academic Press.",
author = "Anderson, {Kevin R.} and Mendelson, {Neil H.} and Watkins, {Joseph C}",
year = "2000",
month = "1",
day = "7",
doi = "10.1006/jtbi.1999.1051",
language = "English (US)",
volume = "202",
pages = "87--94",
journal = "Journal of Theoretical Biology",
issn = "0022-5193",
publisher = "Academic Press Inc.",
number = "1",

}

TY - JOUR

T1 - A new mathematical approach predicts individual cell growth behavior using bacterial population information

AU - Anderson, Kevin R.

AU - Mendelson, Neil H.

AU - Watkins, Joseph C

PY - 2000/1/7

Y1 - 2000/1/7

N2 - A theoretical methodology has been developed for studying the growth kinetics of bacterial cells. It utilizes the steady-state cell length distribution in a bacterial population to predict the dependency of growth and division rates on cell length and age. The mathematical model has been applied to the analysis of two bacterial populations, a wild-type strain of Bacillus subtilis, and a minicell-producing strain that carries the divIVB1 mutation. The results show that our model describes the wild-type population very well and that the assumptions typically used in traditional methods are unrealistic. In the case of the minicell-producing mutant we find evidence that the rate of cell division must be a function not only of cell size but also of cell age. (C) 2000 Academic Press.

AB - A theoretical methodology has been developed for studying the growth kinetics of bacterial cells. It utilizes the steady-state cell length distribution in a bacterial population to predict the dependency of growth and division rates on cell length and age. The mathematical model has been applied to the analysis of two bacterial populations, a wild-type strain of Bacillus subtilis, and a minicell-producing strain that carries the divIVB1 mutation. The results show that our model describes the wild-type population very well and that the assumptions typically used in traditional methods are unrealistic. In the case of the minicell-producing mutant we find evidence that the rate of cell division must be a function not only of cell size but also of cell age. (C) 2000 Academic Press.

UR - http://www.scopus.com/inward/record.url?scp=0034614408&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034614408&partnerID=8YFLogxK

U2 - 10.1006/jtbi.1999.1051

DO - 10.1006/jtbi.1999.1051

M3 - Article

C2 - 10623502

AN - SCOPUS:0034614408

VL - 202

SP - 87

EP - 94

JO - Journal of Theoretical Biology

JF - Journal of Theoretical Biology

SN - 0022-5193

IS - 1

ER -