Sorghum bicolor
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA386306 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5528100.fastq.gz | Fastqsanger.gz | |||
| SRR5528101.fastq.gz | Fastqsanger.gz | |||
| SRR5528102.fastq.gz | Fastqsanger.gz | |||
| SRR5528103.fastq.gz | Fastqsanger.gz | |||
| SRR5528104.fastq.gz | Fastqsanger.gz |
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Project description:Bioenergy sorghum accumulates 75% of shoot biomass in stem internodes. Grass stem internodes are formed during vegetative growth and elongate in response to developmental and environmental signals. To identify genes and molecular mechanisms that modulate the extent of internode growth, we conducted microscopic and transcriptomic analysis of four successive sub-apical vegetative internodes representing different stages of internode development of the bioenergy sorghum genotype R.07020.
2017-08-17 | GSE98817 | GEO
Project description:Dynamics of gene expression during development and expansion of vegetative stem internodes of bioenergy sorghum
2020-04-30 | E-GEOD-98817 | ExpressionAtlas
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.
2014-08-29 | E-MTAB-3839 | biostudies-arrayexpress
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.
2022-11-16 | GSE184725 | GEO
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
2015-03-11 | E-MTAB-4273 | biostudies-arrayexpress
Project description:Sorghum (Sorghum bicolor) is one of the world's most important cereal crops. S. propinquum is a perennial wild relative of S. bicolor with well-developed rhizomes. Functional genomics analysis of S. propinquum, especially with respect to molecular mechanisms related to rhizome growth and development, can contribute to the development of more sustainable grain, forage, and bioenergy cropping systems. In this study, we used a whole rice genome oligonucleotide microarray to obtain tissue-specific gene expression profiles of S. propinquum with special emphasis on rhizome development. A total of 548 tissue-enriched genes were detected, including 31 and 114 unique genes that were predominantly expressed in the rhizome tips (RT) and internodes (RI), respectively. Further GO analysis indicated that the functions of these tissue-enriched genes corresponded to their characteristic biological processes. A few distinct cis-elements, including ABA-responsive RY repeat CATGCA, sugar-repressive TTATCC, and GA-responsive TAACAA, were found to be prevalent in RT-enriched genes, implying an important role in rhizome growth and development. Comprehensive comparative analysis of these rhizome-enriched genes and rhizome-specific genes previously identified in S. propinquum indicated that phytohormones, including ABA, GA, and SA, are key regulators of gene expression during rhizome development. Co-localization of rhizome-enriched genes with rhizome-related QTLs in rice and sorghum generated functional candidates for future cloning of genes associated with rhizome growth and development. In conclusion, a whole rice genome oligonucleotide microarray was used to profile gene expression across five tissues of the perennial wild sorghum S. propinquum. Expression patterns of the five tissues were consistent with the different functions of each organ, and RT- and RI-enriched genes revealed clues regarding molecular mechanisms of rhizome development. Plant hormones, including ABA, GA, and SA, function as key regulators of rhizome gene expression and development. To shed further light on the identities of rhizome-specific genes, rhizome-enriched candidates were identified using QTL co-localization and comparative analysis. In this study, the specific gene expression patterns across five tissues, including rhizome tip (RT, distal 1 cm of the young rhizome), rhizome internodes (RI), shoot tip (ST, distal 5 mm of the tiller after removing all leaves), shoot internodes (SI) and young leaf (YL) in Sorghum propinquum, especially in the rhizome, were characterized by using a rice genome array. Three independent biological replicates for each tissue from individual plants were performed. The reference was equivalent to a mix of the 5 tissues.
2013-03-31 | E-GEOD-40380 | biostudies-arrayexpress
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.
2017-08-10 | GSE102452 | GEO
Project description:Bioenergy sorghum is a low-input, drought-resilient, deep-rooting annual crop that has high biomass yield potential enabling the sustainable production of biofuels, biopower, and bioproducts. Bioenergy sorghum’s 4-5 m stems account for ~80% of the harvested biomass. Stems accumulate high levels of sucrose that could be used to synthesize bioethanol and useful biopolymers if information about stem cell-type gene expression and regulation was available to enable engineering. To obtain this information, Laser Capture Microdissection (LCM) was used to isolate and collect transcriptome profiles from five major cell types that are present in stems of the sweet sorghum Wray. Transcriptome analysis identified genes with cell-type specific and cell-preferred expression patterns that reflect the distinct metabolic, transport, and regulatory functions of each cell type. Analysis of cell-type specific gene regulatory networks (GRNs) revealed that unique TF families contribute to distinct regulatory landscapes, where regulation is organized through various modes and identifiable network motifs. Cell-specific transcriptome data was combined with a stem developmental transcriptome dataset to identify the GRN that differentially activates the secondary cell wall (SCW) formation in stem xylem sclerenchyma and epidermal cells. The cell-type transcriptomic dataset provides a valuable source of information about the function of sorghum stem cell types and GRNs that will enable the engineering of bioenergy sorghum stems.
2024-02-09 | GSE218642 | GEO
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
2014-08-29 | GSE50464 | GEO
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.
2020-05-19 | GSE150798 | GEO