Quantification of variability in trichome patterns.
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4815801
- author
- Greese, Bettina LU ; Hülskamp, Martin and Fleck, Christian
- organization
- publishing date
- 2014
- 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
- 2024-01-10 01:01:19
@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}},
}