Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.7/703
Title: Whole Genome Analysis of Gene Expression Reveals Coordinated Activation of Signaling and Metabolic Pathways during Pollen-Pistil Interactions in Arabidopsis
Author: Boavida, L. C.
Borges, F.
Becker, J. D.
Feijo, J. A.
Keywords: Arabidopsis
Cluster Analysis
Computational Biology
Flowers
Gene Expression Regulation, Developmental
Gene Expression Regulation, Plant
Genome, Plant
Oligonucleotide Array Sequence Analysis
Pollen
Pollination
RNA, Plant
Time Factors
Gene Expression Profiling
Metabolic Networks and Pathways
Signal Transduction
Issue Date: Apr-2011
Publisher: American Society of Plant Biologists
Citation: Leonor C. Boavida, Filipe Borges, Jörg D. Becker, and José A. Feijó Whole Genome Analysis of Gene Expression Reveals Coordinated Activation of Signaling and Metabolic Pathways during Pollen-Pistil Interactions in Arabidopsis Plant Physiol. 2011 155: 2066-2080. First Published on February 11, 2011; doi:10.1104/pp.110.169813
Abstract: Plant reproduction depends on the concerted activation of many genes to ensure correct communication between pollen and pistil. Here, we queried the whole transcriptome of Arabidopsis (Arabidopsis thaliana) in order to identify genes with specific reproductive functions. We used the Affymetrix ATH1 whole genome array to profile wild-type unpollinated pistils and unfertilized ovules. By comparing the expression profile of pistils at 0.5, 3.5, and 8.0 h after pollination and applying a number of statistical and bioinformatics criteria, we found 1,373 genes differentially regulated during pollen-pistil interactions. Robust clustering analysis grouped these genes in 16 time-course clusters representing distinct patterns of regulation. Coregulation within each cluster suggests the presence of distinct genetic pathways, which might be under the control of specific transcriptional regulators. A total of 78% of the regulated genes were expressed initially in unpollinated pistil and/or ovules, 15% were initially detected in the pollen data sets as enriched or preferentially expressed, and 7% were induced upon pollination. Among those, we found a particular enrichment for unknown transcripts predicted to encode secreted proteins or representing signaling and cell wall-related proteins, which may function by remodeling the extracellular matrix or as extracellular signaling molecules. A strict regulatory control in various metabolic pathways suggests that fine-tuning of the biochemical and physiological cellular environment is crucial for reproductive success. Our study provides a unique and detailed temporal and spatial gene expression profile of in vivo pollen-pistil interactions, providing a framework to better understand the basis of the molecular mechanisms operating during the reproductive process in higher plants.
Peer review: yes
URI: http://hdl.handle.net/10400.7/703
DOI: 10.1104/pp.110.169813
Publisher Version: http://www.plantphysiol.org/content/155/4/2066.long
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