Abstract
Grapevine is an extremely important crop worldwide. In southern Europe, post-flowering phases of the growth cycle can occur under high temperatures, excessive light, and drought conditions at soil and/or atmospheric level. In this study, we subjected greenhouse grown grapevine, variety Aragonez, to two individual abiotic stresses, water deficit stress (WDS), and heat stress (HS). The adaptation of plants to stress is a complex response triggered by cascades of molecular networks involved in stress perception, signal transduction, and the expression of specific stress-related genes and metabolites. Approaches such as array-based transcript profiling allow assessing the expression of thousands of genes in control and stress tissues. Using microarrays, we analyzed the leaf transcriptomic profile of the grapevine plants. Photosynthesis measurements verified that the plants were significantly affected by the stresses applied. Leaf gene expression was obtained using a high-throughput transcriptomic grapevine array, the 23K custom-made Affymetrix Vitis GeneChip. We identified 1,594 genes as differentially expressed between control and treatments and grouped them into ten major functional categories using MapMan software. The transcriptome of Aragonez was more significantly affected by HS when compared with WDS. The number of genes coding for heat-shock proteins and transcription factors expressed solely in response to HS suggesting their expression as unique signatures of HS. However, a cross-talk between the response pathways to both stresses was observed at the level of AP2/ERF transcription factors.
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Acknowledgments
The authors would like to thank Jose Miguel Zapater, Gerôme Grimplet, and Pablo Carbonelle for GrapeGen GeneChip 12Xv0 annotations and MapMan files. The research was funded by Fundação para a Ciência e Tecnologia: project PTDC/AGR-GPL/099624/2008; CBAA (PestOE/AGR/UI0240/2011); ERA-NET Plant Genomics 006/2006; and the post-doc grant SFRH/BPD/64905/2009 to MR.
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Supplementary Fig. 1
Light response (A/I) curves measured on fully expanded leaves of control plants and plants subjected to HS and WDS (DOCX 64 kb)
Supplementary Fig. 2
Comparison of gene expression ratios obtained by microarray and by qRT-PCR. Expression profiles are shown for randomly chosen transcripts whose expression was significantly up- or down-regulated in the microarray analysis in HS and in WDS. The microarray fold change are plotted on the Y-axis against the log2(expression ratio) values obtained by qRT-PCR on the X-axis. The scales of the X- and Y-axes are different, for clarity purposes (DOCX 40 kb)
Supplementary Fig. 3
List of genes differentially expressed under water stress. Complete list of the genes differentially expressed in WDS including Probe-set ID, Unique grapevine gene ID, Functional Categories according to GrapeGen annotation and Fold-Change (log2) (XLSX 324 kb)
Supplementary Fig. 4
List of genes differentially expressed under heat stress. XLS gene files showing a complete list of the genes differentially expressed in HS including Probe-set ID, Unique grapevine gene ID, Functional Categories according to GrapeGen annotation and Fold-Change (log2) (XLSX 310 kb)
Supplementary Fig. 5
Representative of GCC-box transcription factors binding domains present in promoter genes commonly expressed in WDS and HS with log2 fold change higher than three in at least one experimental condition (Supplementary Fig. 10). Binding sites were annotated through PLACE (http://www.dna.affrc.go.jp/PLACE/index.html) (Higo et al. 1999) and Prosite (http://prosite.expasy.org/) (Sigrist et al. 2012) along 1,000 base pair upstream of the target gene (arrow in red). (PDF 136 kb)
Supplementary Fig. 6
Protein metabolism and modification genes differentially expressed under water and heat stress. XLS genes file showing a list of the genes differentially expressed in both stresses according to MapMan pictorial representation (Fig. 4) including Bin code, Bin name, Gene Unique ID, Fold-Change (log2), NCBI Accession and Putative Function (XLSX 22 kb)
Supplementary Fig. 7
Transcription factors differentially expressed under water and heat stress. XLS genes file showing a list of the TFs differentially expressed in both stresses according to MapMan pictorial representation (Fig. 4) including Bin code, Bin name, Gene Unique ID, Fold-Change (log2), NCBI Accession and Putative Function (XLSX 18 kb)
Supplementary Fig. 8
Abiotic stress genes differentially expressed under water and heat stress. XLS genes file showing a list of the abiotic stress responsive genes differentially expressed in both stresses according to MapMan pictorial representation (Fig. 6) including Bin code, Bin name, Gene Unique ID, Fold-Change (log2), NCBI Accession and Putative Function (XLSX 14 kb)
Supplementary Fig. 9
Signalling genes differentially expressed under water and heat stress. XLS genes file showing a list of the signalling genes differentially expressed in both stresses according to MapMan pictorial representation (Fig. 7) including Bin code, Bin name, Gene Unique ID, Fold-Change (log2), NCBI Accession and Putative Function (XLSX 30 kb)
Supplementary Fig. 10
Genes that are differentially expressed in both water and heat stresses. XLS file showing a list of all the genes differentially expressed in both stresses according to MapMan pictorial representation including Bin code, Bin name, Gene Unique ID, Fold-Change (log2), NCBI Accession and Putative Function (XLSX 14 kb)
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Rocheta, M., Becker, J.D., Coito, J.L. et al. Heat and water stress induce unique transcriptional signatures of heat-shock proteins and transcription factors in grapevine. Funct Integr Genomics 14, 135–148 (2014). https://doi.org/10.1007/s10142-013-0338-z
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DOI: https://doi.org/10.1007/s10142-013-0338-z