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SUMMARY:Control of prokaryotic cell division by Turing patterns
DTSTART;VALUE=DATE-TIME:20180710T013000Z
DTEND;VALUE=DATE-TIME:20180710T020000Z
DTSTAMP;VALUE=DATE-TIME:20241102T174237Z
UID:indico-contribution-149@conferences.maths.unsw.edu.au
DESCRIPTION:Speakers: James Walsh (UNSW)\nCell division requires the preci
se placement of the division ring at mid-cell to ensure both daughter cell
s are viable. However\, the mechanisms behind this localization remain poo
rly characterized. There are a limited number of known ways to identify th
e centre of the cell. One such mechanism is a Turing pattern. One intracel
lular Turing pattern has been identified\, that produced by the Min protei
n system. In *Escherichia coli*\, the Min protein system plays a role in e
stablishing the division ring position. Membrane-bound Min proteins form a
n oscillating spatial pattern where the proteins are concentrated at one p
ole of the cell and then another\, leaving a barezone at the centre of the
cell where the FtsZ ring will form. Based on molecular interactions of th
e Min system\, we have formulated a mathematical model that reproduces Min
patterning during cell growth and division. This model provides a platfor
m to explore how the Min system functions and what characteristics are lik
ely to be shared with other Turing patterning systems\, should they exist.
We examine the general characteristics of Turing patterns produced by the
Min system. In particular\, patterning approximates a harmonic of the cel
l shape and selects the dominant harmonic in a predictable manner. This sh
ows what alternative intracellular Turing patterning systems are likely to
appear and how they would behave in relation to cell shape. The oscillati
ons of the Min system are shown to be translated into a mid-cell localizat
ion signal via the harmonics generated by non-linear interactions of the s
ystem. We show that division plane orientation in the pleomorphic archeon
*Haloferax volcanii* can be predicted from cell shape by assuming that it
is dictated by a Turing mechanism. This work makes progress towards unders
tanding how the Min system functions to regulate cell division. More gener
ally it develops tools to identify alternative Turing patterning systems a
nd to understand how patterning can be translated into localization signal
s.\n\nhttps://conferences.maths.unsw.edu.au/event/2/contributions/149/
LOCATION:University of Sydney New Law School/--104
URL:https://conferences.maths.unsw.edu.au/event/2/contributions/149/
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