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Publikationen - Molekulare Signalverarbeitung

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Publikation

Kenton, P.; Mur, L.A.J.; Atzorn, R.; Wasternack, C.; Draper, J. (—)-Jasmonic Acid Accumulation in Tobacco Hypersensitive Response Lesions Mol. Plant Microbiol. Interactions 12, 74-78, (1999) DOI: 10.1094/MPMI.1999.12.1.74

Tobacco infected with Pseudomonas syringae pv. phaseolicola undergoes a hypersensitive response (HR). Jasmonic acid (JA) accumulated within the developing lesion 3 to 9 h after infection and this accumulation preceded protein loss, cell death, and malondialdehyde accumulation. Accumulating JA consisted largely of the (—)-JA stereoisomer and was essentially restricted to the HR lesion
Publikation

Ryan,P. T.; Ó’Maoiléidigh, D. S.; Drost, H.-G.; Kwaśniewska, D.; Gabel, A.; Grosse, I.; Graciet, E.; Quint, M.; Wellmer, F. Patterns of gene expression during Arabidopsis flower development from the time of initiation to maturation BMC Genomics 16, 488 , (2015) DOI: 10.1186/s12864-015-1699-6

Background:The formation of flowers is one of the main model systems to elucidate the molecular mechanisms that control developmental processes in plants. Although several studies have explored gene expression during flower development in the model plant Arabidopsis thalianaon a genome-wide scale, a continuous series of expression data from the earliest floral stages until maturation has been lacking. Here, we used a floral induction system to closethis information gap and to generate a reference dataset for stage-specific gene expression during flower formation.Results:Using a floral induction system, we collected floral buds at 14 different stages from the time of initiation until maturation. Using whole-genome microarray analysis, we identified 7,405 genes that exhibit rapid expression changes during flower development. These genes comprise many known floral regulators and we found that the expression profiles for these regulators match their known expression patterns, thus validating the dataset. We analyzed groups ofco-expressed genes for over-represented cellular and developmental functions through Gene Ontology analysis and found that they could be assigned specific patterns of activities, which are in agreement with the progression of flower development. Furthermore, by mapping binding sites of floral organ identity factors onto our dataset, we were able to identify gene groups that are likely predominantly under control of these transcriptional regulators. We furtherfound that the distribution of paralogs among groups of co-expressed genes varies considerably, with genes expressed predominantly at early and intermediate stages of flower development showing the highest proportion of such genes.Conclusions:Our results highlight and describe the dynamic expression changes undergone by a large numberof genes during flower development. They further provide a comprehensive reference dataset for temporal gene expression during flower formation and we demonstrate that it can be used to integrate data from other genomics approaches such as genome-wide localization studies of transcription factor binding sites.
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