Transcriptomic analysis of Sorghum bicolor responding to combined heat and drought stress
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ABSTRACT:
ORGANISM(S): Sorghum bicolor
PROVIDER: GSE48205 | GEO | 2014/06/20
SECONDARY ACCESSION(S): PRJNA209202
REPOSITORIES: GEO
Similar Datasets
Project description:Sorghum is an important crop often subjected to simultaneous high temperatures and drought in the field. We examined the gene expression response to heat and drought stress both individually, and in combination, with the aim of identifying important stress tolerance mechanisms. Plants were subjected to 4 different conditions (control, heat shock, drought stress and combined heat and drought stress). 3 replicates were carried out for each treatment type giving a total of 12 samples
2014-06-20 | E-GEOD-48205 | biostudies-arrayexpress
Project description:The present study is expected to reveal regulatory network of small RNAs under drought in Sorghum (Sorghum bicolor (L.) Moench). Sorghum genotype drought tolerant (DT) and drought susceptible (DS) were grown at 28-32 degrees C day/night temperature with 12/12 h light/dark period in the phytotron glass house. The fully opened uppermost leaves from control and drought stressed seedlings were sampled and stored at -80 degrees C, and used for generation of a small RNA library. Total RNA was isolated from the leaves using the TRIzol reagent (Invitrogen, USA). Small RNA sequencing libraries were prepared using Illumina Truseq small RNA Library preparation kit following manufacturer's protocol and these libraries were sequenced on GAIIx platform (Illumina Inc., USA). Small RNA reads contaminated with poor-quality and adaptor sequences were trimmed by using the UEA sRNA workbench 2.4- Plant version sequence file pre-processing (http://srna-tools.cmp.uea.ac.uk/). Then, all unique reads were submitted to the UEA sRNA toolkit-Plant version miRCat pipeline (http://srna-tools.cmp.uea.ac.uk/) to predict novel miRNAs from high-throughput small RNA sequencing data.
2014-04-15 | E-MTAB-1630 | biostudies-arrayexpress
Project description:Drought is a critical issue in modern agriculture, therefore there is a need to create crops with drought resilience. The complexity of plant responses to abiotic stresses, particularly in the field of brassinosteroid (BR) signaling, has been the subject of extensive research. In this study, we unveil compelling insights indicating that the BRASSINOSTEROID INSENSITIVE 1 (BRI1) receptor in Arabidopsis and Sorghum plays a critical role as a negative regulator of drought responses. Introducing untargeted mutation in the sorghum BRI1 receptor (SbBRI1) effectively enhances the plant ability to withstand osmotic and drought stress. Through DNA Affinity Purification sequencing (DAP-Seq) we show that the sorghum BRI1-EMS-SUPPRESSOR 1 (SbBES1) transcription factor, a downstream player of the BR signaling, binds to a conserved G-box binding motif, and it is responsible for regulating BR homeostasis, as its Arabidopsis ortholog AtBES1. We further characterized the drought tolerance of sorghum bri1 mutants and decipher SbBES1-mediated regulation of phenylpropanoid pathway. Our findings suggest that SbBRI1 signaling serves as a dual purpose: under normal conditions, it regulates lignin biosynthesis by SbBES1, but during drought conditions, BES1 becomes less active, allowing the activation of the flavonoid pathway. This adaptive shift improves the photosynthetic rate and photoprotection, reinforcing crop adaptation to drought.
2024-08-31 | GSE262062 | GEO
Project description:We report transcriptome profiling of middle internode tissues from four development stages and three soil moisture readings representing progressive drought stress in sweet sorghum. Sequencing of 14 libraries (two biological replicates for each stage). Each replicate yielded an average of 86 million reads per sample for developmental stages and drought stressed samples yielded an average of 74 million reads per sample .
2023-12-31 | GSE155194 | GEO
Project description:We report transcriptome profiling of middle internode tissues from four development stages and three soil moisture readings representing progressive drought stress in grain sorghum. Sequencing of 14 libraries (two biological replicates for each stage). Each replicate yielded an average of 86 million reads per sample for developmental stages and drought stressed samples yielded an average of 74 million reads per sample .
2023-12-31 | GSE178603 | GEO
Project description:We sequenced three small-RNA (sRNA) libraries constructed from leaves of sorghum subjected to three different treatments, well-watered (CK), mild drought (DR1) and severe drought (DR2). These findings will be useful for research on drought resistance and provide insights into the mechanisms of drought adaptation and resistance in sorghum.
2023-09-25 | GSE227308 | GEO
Project description:We report transcriptome profiling of middle internode tissues from four development stages and three soil moisture readings representing progressive drought stress in sweet sorghum. Sequencing of 14 libraries (two biological replicates for each stage). Each replicate yielded an average of 86 million reads per sample for developmental stages and drought stressed samples yielded an average of 74 million reads per sample .
2023-12-31 | GSE178993 | GEO
Project description:Background: Sorghum bicolor is a remarkably drought tolerant cereal crop. Its natural biodiversity that enables this tolerance has developed in sub-Saharan Africa. The sequencing of the sorghum genome in 2009 has expedited research of this crop which has also been proposed as a model C4 cereal crop for genomics. In this study, the genetic response mechanisms involved in sorghums’ tolerance to progressive water deficit and moderate re-watering were investigated in three previously uncharacterized South African landraces (designated: LR5, LR6 and LR35) using cDNA microarrays comprising 35 899 transcript probes. Results: Across the three landraces, significant differential expression of 1 797 genes, including 264 genes with currently unknown functions, were altered in response to progressive water stress and re-watering. The modulated sorghum genes had homology to proteins involved in growth, regulation, and protection. Gene ontology analysis identified significant enrichment of 26 genes involved in the ‘response to abiotic stimulus’ GO category in LR6 during severe stress. The expression of USP responded to progressive water stress and moderate re-watering in LR6 and LR35. Moreover, our results indicate a putative role for β-alanine betaine biosynthesis in drought tolerance of sorghum. Conclusions: This study identified the drought responsive gene complement of three previously uncharacterized South African sorghum landraces. Each landrace is a distinct genotype and similar responses to water deficit and re-watering were not expected. Functional characterizations of some of the differentially expressed genes found in this study may be used as possible targets for marker-assisted breeding or transgenic initiatives for sorghum and, other closely related crop species.
2017-12-31 | GSE92487 | GEO
Project description:The present study used Label-Free LC-MS/MS quantification approach to investigate changes in the proteomic profiles of two contrasting sorghum genotypes subjected to drought, heat and combined drought and heat stress. The interpretation of the data generated through this study could improve our understanding of sorghum molecular adaptations to these stresses.
2024-12-06 | PXD052255 | Pride
Project description:The present study is expected to reveal differentially expressed genes under drought stress of Sorghum bicolor. The seeds of Sorghum genotype drought tolerant (DT) were grown at 28-32°C day/night temperature with 12/12 h light/dark period in the phytotron glass house. The fully opened uppermost leaves from control and drought stressed seedlings were sampled and stored at -80°C. For RNA-Seq libraries, one microgram of total RNA was extracted with Trizol reagent (Invitrogen, USA) and mRNA libraries were produced using the TruSeq mRNA-Seq library kit (Illumina) according to manufacturer’s instructions. The libraries generated were quantitated using an Agilent Bioanalyzer DNA 1000 chip. (Agilent Technologies, Santa Clara, CA) and a 2x101 cycle paired end sequencing (sequenced by Sandor Pvt. Ltd., Hyderabad, India) was performed using an Illumina HiScanSQ sequencer (Illumina Inc.). Initially, raw reads were processed by NGSQC toolkit (http://59.163.192.90:8080/ngsqctoolkit/) and high quality reads were subjected to de-novo assembly using Trinity assembler (Patel and Jain, 2012). Assembled transcripts were quantified by standard pipeline (Trinity→RSEM→R→DESeq) and those transcripts were removed which has zero FPKM in all four samples (Anders, 2010; Grabherr, et al., 2011; Li and Dewey, 2011). These transcripts were further processed by transdecoder tool to retrieve full length coding sequence and subsequent annotated by FastAnnotator (http://fastannotator.cgu.edu.tw/index.php) (Chen, et al., 2012). Pathway enrichment analysis was performed for the predicted transcripts by KEGG Automatic Annotation Server (KAAS; www.genome.jp/tools/kaas/) for the classification of spatial and temporally governed pathways.
2015-08-15 | E-MTAB-3571 | biostudies-arrayexpress