Project description:Parallel Analysis of RNA Ends (PARE) sequencing reads were generated to validate putative microRNAs and identify cleavage sites in Sorghum bicolor and Setaria viridis.
Project description:This study used with RNA-Seq to examine the tissue specific expression data within sorghum plants for improving the Sorghum bicolor gene annotation. We examined the RNA from tissues (spikelet, seed and stem) in Sorghum bicolor (BTx623).Total RNAs form each tissues were extracted using SDS/phenol method followed by LiCl purification
Project description:As no commercial array is available for sorghum microarray analysis, we designed an array based on the annotation of Sbi1.4 gene set and the available 209,835 sorghum ESTs from the NCBI EST database. The array will be used for investigating the expression divergence between grain and sweet sorghum lines under normal and sucrose treatments
Project description:This study utilized next generation sequencing technology (RNA-Seq and BS-Seq) to examine the transcriptome and methylome of various tissues within sorghum plants with the ultimate goal of improving the Sorghum bicolor annotation
Project description:This study utilized next generation sequencing technology (RNA-Seq and BS-Seq) to examine the transcriptome and methylome of various tissues within sorghum plants with the ultimate goal of improving the Sorghum bicolor annotation We examined the mRNA of various Sorghum bicolor (BTx623) tissues (flowers, vegitative and floral meristems, embryos, roots and shoots) and bisulfite treated DNA from two root samples
Project description:This experiment contains the subset of data corresponding to sorghum RNA-Seq data from experiment E-GEOD-50464 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-50464/), which goal is to examine the transcriptome of various Sorghum bicolor (BTx623) tissues: flowers, vegetative and floral meristems, embryos, roots and shoots. Thus, we expanded the existing transcriptome atlas for sorghum by conducting RNA-Seq analysis on meristematic tissues, florets, and embryos, and these data sets have been used to improve on the existing community structural annotations.
Project description:* The high sequence and structural similarities between BRI1 brassinosteroid receptors of Arabidopsis (AtBRI1) and sorghum (SbBRI1) prompted us to study the functionally conserved roles of BRI in both organisms. * Introducing sorghum SbBRI1 in Arabidopsis bri1 mutants restores defective growth and complements developmental phenotypes to WT levels. * Sorghum mutants for SbBRI1 receptors show defective BR sensitivity and results in impaired growth and development throughout the entire sorghum life cycle. Embryonic analysis of sorghum primary roots traced the root growth and development at the early stages, revealing the role of SbBRI1 in BR perception during cell division and BR sensing. RNA-seq of SbBRI1 mutants support the roles of SbBRI1 in cell wall biosynthesis and remodeling. * Together, these results uncover that sorghum SbBRI1 receptor protein play functionally conserved roles in plant growth and development.
Project description:Sorghum is a C4 cereal important not only as food, but also as forage and a bioenergy resource. Its resistance to harsh environments has made it an agriculturally important research subject. Recent accumulation of genomic and transcriptomic information has facilitated genetic studies. Yet genome-wide translational profiles in sorghum are still missing, although increasing evidence has demonstrated that translation is an important regulatory step, and the transcriptome does not necessarily reflect the profile of functional protein production in some organisms. Deep sequencing of ribosome-protected mRNA fragments (ribosome profiling, or Ribo-seq) has enabled genome-wide analysis of translation. In this study, we took advantage of Ribo-seq and identified actively translated reading frames throughout the genome. We detected translation of 7,304 main ORFs annotated in the sorghum reference genome version 3.1 and revealed a number of unannotated translational events. A comparison of the transcriptome and translatome between sorghums grown under normal and sulfur-deficient conditions revealed that gene expression is modulated independently at transcript levels and translation levels. Our study revealed the translational landscape of sorghum’s response to sulfur and provides datasets that could serve as a fundamental resource to extend research on sorghum, including translational studies.
Project description:As no commercial array is available for sorghum microarray analysis, we designed an array based on the annotation of Sbi1.4 gene set and the available 209,835 sorghum ESTs from the NCBI EST database. The array will be used for investigating the expression divergence between grain and sweet sorghum lines under normal and sucrose treatments The expression analysis was carried out using 14-day old whole seedlings from both grain and sweet sorghum lines. Three samples from sucrose treatment (0h, 2h and 6h) for each line were collected for the analysis . Two biological replicates were carried out for both control and sucrose treatments, resulting in a dataset of 12 microarrays.
Project description:Sorghum (Sorghum bicolor L. Moench) is a C4 species sensitive to the cold spring conditions that occur at northern latitudes, usually coupled with excessive light, and that greatly affects the photosynthetic rate. The objective of this study was to discover genes/genomic regions that control the capacity to cope with excessive energy under low temperature conditions during the vegetative growth period. A genome-wide association study (GWAS) was conducted for eight photosynthesis and chlorophyll fluorescence traits under three consecutive temperature treatments: control (28°C/24°C), cold (15°C/15°C) and recovery (28°C/24°C). Cold stress significantly reduced the photosynthetic capacity of sorghum plants and a total of 204 genomic regions were discovered associated with at least one trait in a particular treatment or in the time integrated response to cold. If no GBS markers were available for the targeted candidate genes, new SNPs were developed and genotyped using a SNPtype™ Assay (Fluidigm) on the Fluidigm BioMarkHD system and GT 96.96 Dynamic Array Integrated Fluidic Circuits of Fluidigm.