Universität zu Köln

Greese, Bettina, Huelskamp, Martin and Fleck, Christian (2014). Quantification of variability in trichome patterns. Front. Plant Sci., 5. LAUSANNE: FRONTIERS MEDIA SA. ISSN 1664-462X

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Greese, Bettina UNSPECIFIED UNSPECIFIED UNSPECIFIED Huelskamp, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Fleck, Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-423366
DOI:	10.3389/fpls.2014.00596
Journal or Publication Title:	Front. Plant Sci.
Volume:	5
Date:	2014
Publisher:	FRONTIERS MEDIA SA
Place of Publication:	LAUSANNE
ISSN:	1664-462X
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Biology > Botanical Institute
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SPATIAL-PATTERN; GENE-EXPRESSION; CELL FATE; VORONOI DIAGRAMS; STOMATA; NOISE; ORDER; MECHANISMS; REGULARITY; STABILITY Multiple languages Plant Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/42336