75 Integrating Membrane Transport with Male Gametophyte ... - TAIR
75 Integrating Membrane Transport with Male Gametophyte ... - TAIR
75 Integrating Membrane Transport with Male Gametophyte ... - TAIR
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181 Active cell-to-cell transport and depletion of Arabidopsis TTG1 determines epidermal<br />
trichome patterning<br />
Daniel Bouyer 1 , Friedrich Kragler 2 , Arp Schnittger 3 , Martin Huelskamp 1<br />
1<br />
Botany III, University Cologne, Germany, 2 University of Vienna, Department of Biochemistry - Max F. Perutz<br />
Laboratories, Austria, 3 Max-Planck-Institut fur Zuchtungsforschung (MPIZ), Cologne, Germany<br />
In plants intercellular communication by moving transcription factors is important for development (1, 2). Epidermal<br />
trichome patterning in Arabidopsis involves mobile trichome inhibiting MYB-like proteins and trichome promoting<br />
factors including the WD40 repeat protein TRANSPARENT TESTA GLABRA1 (TTG1) (3).<br />
Here we demonstrate by clonal analysis using the CRE-LOX system that unexpectedly the trichome promoting factor<br />
TTG1 can act non-cell autonomously. While TTG1 is expressed ubiquitously TTG1 protein accumulates in trichomes and<br />
is depleted in the surrounding cells. The accumulation in trichomes is also seen when using other ubiquitous (CaMV-35S)<br />
or even subepidermis-specific promoters.<br />
Microinjection experiments indicate that TTG1 protein actively utilizes plasmodesmata to gain access to neighboring<br />
cells. Finally we provide evidence that biasing TTG1 mobility affects patterning.<br />
Taken together our data provide evidence that TTG1 is involved in a substrate-depletion mechanism which accounts<br />
for lateral inhibtion of trichome-neighboring cells.<br />
References:<br />
T. Kurata, K. Okada, T. Wada, Curr Opin Plant Biol. 8, 600 (2005)<br />
W. J. Lucas and J. Y. Lee, Nat Rev Mol Cell Biol 5, 712 (2004)<br />
J. C. Larkin, M. L. Brown and J. Schiefelbein, Annu. Rev. Plant Biol. 54, 403 (2003)<br />
182 Transcriptional Networks of Plant Stem Cell Control<br />
Wolfgang Busch, Jan Lohmann<br />
Max-Planck-Institute for Developmental Biology<br />
In contrast to animals, plants develop mostly postembryonically and continuously form new organs during their<br />
entire life cycle. The cellular basis for this mode of development is the continuous presence of stem-cell pools in the<br />
apical meristems of shoot and root, which are the growing points of a plant. The size of the stem-cell pool has to be<br />
tightly regulated to avoid ill effects for the organism. In Arabidopsis thaliana, several key factors of stem cell control<br />
have previously been identified by genetic approaches. Since most of them are transcription factors, we have set out to<br />
elucidate the regulatory network of stem-cell control by means of transcriptional profiling. Focusing on the shoot apical<br />
meristem and the floral meristem, we have used loss-of-function mutants, as well as inducible overexpression lines of<br />
several key factors including WUSCHEL (WUS), CLAVATA3 (CLV3) and LEAFY (LFY) to identify common and unique<br />
targets. By conducting meta-analysis on our expression data and screening for transcripts that follow the genetically<br />
defined regulatory logic, such as the negative feedback loop between WUS and CLV3, we were able to identify several<br />
high priority targets. Promoter regions of these targets are used for regulatory element searches, <strong>with</strong> the aim to identify<br />
previously unknown sites. Currently we verify the microarray data by quantitative rtPCR and study their spatial expression<br />
domains and dynamics by in situ hybridization. Furthermore, we use chromatin immunoprecipitation techniques to study<br />
the interaction of the transcription factor WUS <strong>with</strong> its target genes in vivo. With these diverse approaches we hope<br />
not only to gain insight into the in vivo function of target genes, but also into the regulatory logic of stem-cell control.<br />
Ultimately, we want to establish a comprehensive model of stem cell homoeostasis <strong>with</strong> predictive power.