Project description:Eight tissues of cultivar Morex (three biological replications each) earmarking stages of the barley life cycle from germinating grain to maturing caryopsis were selected for deep RNA sequencing (RNA-seq)
Project description:In this study we used the Affymetrix Barley 1 GeneChip to investigate transcriptome responses of barley cv. Morex to ABA treatment, at two time points, each including triplicated measurements Keywords: ABA response
Project description:In this study we used the Affymetrix Barley 1 GeneChip to investigate transcriptome responses of barley cv. Morex to low temperature, including triplicated measurements of cold, freeze/thaw cycles and de-acclimation over 33 days. Keywords: stress response
Project description:In this study we used the Affymetrix Barley 1 GeneChip to investigate transcriptome responses of barley cv. Morex to drought over 21 days based on five triplicated stress treatments and a wide range of soil water content treatments. Keywords: repeat sample
Project description:In this study we used the Affymetrix Barley 1 GeneChip to investigate transcriptome responses of barley cv. Morex to ABA treatment, at two time points, each including triplicated measurements Experiment Overall Design: Plants were grown at 20ºC for seven days.
Project description:The molecular regulation of root initiation in monocots is still poorly understood. We report the development of the auxin-based crown-root inducible system (CRIS) in barley (Hordeum vulgare L.). Using this system coupled to RNAseq, we investigated the molecular events occurring during the early steps of crown-root (CR) initiation. The sequencing on the Illumina NovaSeq6000 platform yielded over 123 Gb data, representing more than 408 million reads. Using the last released barley annotation (Morex v2 Gene Models, 2019), we found that 427 genes were downregulated by auxin whereas 764 genes were upregulated. This study provides the first analysis of early event of crown-root initiation in cereals. It will serve as comparison with known genes in rice, maize and other cereals, and could be used in metagenomics studies.
