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Quantification of variability in trichome patterns.

Greese, Bettina LU ; Hülskamp, Martin and Fleck, Christian (2014) In Frontiers in Plant Science 5.
Abstract
While pattern formation is studied in various areas of biology, little is known about the noise leading to variations between individual realizations of the pattern. One prominent example for de novo pattern formation in plants is the patterning of trichomes on Arabidopsis leaves, which involves genetic regulation and cell-to-cell communication. These processes are potentially variable due to, e.g., the abundance of cell components or environmental conditions. To elevate the understanding of regulatory processes underlying the pattern formation it is crucial to quantitatively analyze the variability in naturally occurring patterns. Here, we review recent approaches toward characterization of noise on trichome initiation. We present methods... (More)
While pattern formation is studied in various areas of biology, little is known about the noise leading to variations between individual realizations of the pattern. One prominent example for de novo pattern formation in plants is the patterning of trichomes on Arabidopsis leaves, which involves genetic regulation and cell-to-cell communication. These processes are potentially variable due to, e.g., the abundance of cell components or environmental conditions. To elevate the understanding of regulatory processes underlying the pattern formation it is crucial to quantitatively analyze the variability in naturally occurring patterns. Here, we review recent approaches toward characterization of noise on trichome initiation. We present methods for the quantification of spatial patterns, which are the basis for data-driven mathematical modeling and enable the analysis of noise from different sources. Besides the insight gained on trichome formation, the examination of observed trichome patterns also shows that highly regulated biological processes can be substantially affected by variability. (Less)
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author
; and
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publishing date
type
Contribution to journal
publication status
published
subject
in
Frontiers in Plant Science
volume
5
article number
596
publisher
Frontiers Media S. A.
external identifiers
  • pmid:25431575
  • wos:000346993600001
  • scopus:84910149867
  • pmid:25431575
ISSN
1664-462X
DOI
10.3389/fpls.2014.00596
language
English
LU publication?
yes
id
5610bead-b840-47de-8d5e-7391e5229216 (old id 4815801)
date added to LUP
2016-04-01 14:14:22
date last changed
2021-06-23 01:41:37
@article{5610bead-b840-47de-8d5e-7391e5229216,
  abstract     = {While pattern formation is studied in various areas of biology, little is known about the noise leading to variations between individual realizations of the pattern. One prominent example for de novo pattern formation in plants is the patterning of trichomes on Arabidopsis leaves, which involves genetic regulation and cell-to-cell communication. These processes are potentially variable due to, e.g., the abundance of cell components or environmental conditions. To elevate the understanding of regulatory processes underlying the pattern formation it is crucial to quantitatively analyze the variability in naturally occurring patterns. Here, we review recent approaches toward characterization of noise on trichome initiation. We present methods for the quantification of spatial patterns, which are the basis for data-driven mathematical modeling and enable the analysis of noise from different sources. Besides the insight gained on trichome formation, the examination of observed trichome patterns also shows that highly regulated biological processes can be substantially affected by variability.},
  author       = {Greese, Bettina and Hülskamp, Martin and Fleck, Christian},
  issn         = {1664-462X},
  language     = {eng},
  publisher    = {Frontiers Media S. A.},
  series       = {Frontiers in Plant Science},
  title        = {Quantification of variability in trichome patterns.},
  url          = {http://dx.doi.org/10.3389/fpls.2014.00596},
  doi          = {10.3389/fpls.2014.00596},
  volume       = {5},
  year         = {2014},
}