Project description:Salt stress has become one of the main abiotic stress factors restricting agricultural production worldwide. Sweet sorghum is an important salt and drought tolerant feed and energy crop. Its salt tolerance mechanism has not been widely studied. With the development of transcriptome sequencing technology, it is possible to study the molecular mechanism of sweet sorghum salt tolerance. The purpose of this study was to further reveal the potential salt-tolerant molecular mechanisms of sweet sorghum through high-throughput sequencing analysis of the transcriptome. Finally, through high-throughput sequencing, we read approximately 54.4G of raw base and 53.7G of clean base in total, and used FastQC to assign a quality score (Q) to each base in the read using a similar phred algorithm, Analysis shows that the data is highly credible. We conclude that RNA-based transcriptome characterization will accelerate the study of genetics and molecular biology of sweet sorghum salt tolerance mechanisms and provide a framework for this.
Project description:The N6-methyladenosine (m6A) modification is the most common internal post-transcriptional modification, with important regulatory effects on RNA export, splicing, stability,and translation. However, the effects of m6A modifications on the resistance of sweet sorghum to salt stress remain unclear. In this study, we mapped the m6A modifications in two sorghum inbred lines (salt-tolerant M-81E and salt-sensitive Roma) that differ regarding salt tolerance. Dynamic changes to m6A modifications in sweet sorghum were identified in response to salt stress. Our data suggest that the differences in the m6A modifications between salt-tolerant and salt-sensitive sweet sorghum might contribute to the diversity in salt tolerance.
Project description:This study examines the proteomic responses in tissues of etiolated Sorghum bicolor BTx623 seedlings to salt stress (100 mM NaCl). The aim of the experiment is to investigate the induction and posssible role of Membrane Steroid Binding Protein 1 to salt tolerance in Sorghum.
Project description:Flowering pathways are accelerated for rapid production of flowers and seeds in response to drought in certain varieties of sorghum (Sorghum bicolor (L.) Moench). The objective of the present study was to identify potential drought responsive genes that affect flowering time in sorghum under drought stress. Sorghum germplasm accessions representing early, intermediate, and late flowering groups were selected, and drought stress was administered on 25-day old seedlings of the Drought-Stressed group (DS) by withdrawing water whilst the control group of plants were well-watered (WW). At anthesis, with the initiation of pollen shedding, flag leaf tissues were harvested, and total RNA was separately isolated from samples. Transcription profiles consisting of 60 base pairs, paired end reads from total RNA of each sample were explored using Illumina Genome Analyzer deep sequencing method. An average of 66,059,932 clean reads were mapped. Among 10,468 differentially expressed genes, a set of 126 genes was up-regulated, and a set of 61 genes was down-regulated in all comparisons. Pathway enrichment analysis revealed de novo purine biosynthesis and lipoate biosynthesis pathways and Wnt signaling pathway affecting differentially expressed sorghum genes in response to drought. Transcriptome level differences among early, intermediate and late flowering groups of sorghum under WW and DS conditions were efficiently explored in the present study using RNA sequence analysis tools. Candidate genes and pathways that might be used to improve drought tolerance in sorghum were identified. Findings of the present study would lead to new targets for enhancing drought stress tolerance in sorghum.
Project description:To identify novel miRNA and NAT-siRNAs that are associated with abiotic stresses in sorghum, we generated small RNA sequences from sorghum seedlings that grew under control and under dought, salt, and cold stress treatments. sequencing of small RNAs in sorghum under control, drought, salt, and cold stress conditions.
Project description:To identify novel miRNA and NAT-siRNAs that are associated with abiotic stresses in sorghum, we generated small RNA sequences from sorghum seedlings that grew under control and under dought, salt, and cold stress treatments.
Project description:we developed a research strategy whereby two conventional sorghum cultivars with contrasting salt sensitivity, the highly tolerant landrace cultivar Gaoliangzhe (GZ) and hypersensitive improved cultivar Henong16 (HN), were initially cropped with a normal nutrient solution for 14 days and then some seedlings were placed under saline conditions for varying time periods. We performed proteome analysis to reveal the striking changes protein pools. By comparing the proteome profiles of root tissues grown under salt stress, we have obtained valuable information for understanding the salt tolerance mechanisms of sorghum and provided a better utilization for saline land
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.
Project description:Sorghum is an important cereal crop, which requires large quantities of nitrogen fertilizer for achieving commercial yields. Identification of the genes responsible for low-N tolerance in sorghum will facilitate understanding of the molecular mechanisms of low-N tolerance, and also facilitate the genetic improvement of sorghum through marker-assisted selection or gene transformation. In this study we compared the transcriptomes of root tissues from seven sorghum genotypes having different genetic backgrounds with contrasting low-N tolerance by the RNAseq deep sequencing data. Several genes were found which are common differentially expressed genes between four low-N tolerant sorghum genotypes (San Chi San, China17, KS78 and high-NUE bulk) and three sensitive genotypes (CK60, BTx623 and low-NUE bulk).
Project description:Sorghum is an important cereal crop, which requires large quantities of nitrogen fertilizer for achieving commercial yields. Identification of the genes responsible for low-N tolerance in sorghum will facilitate understanding of the molecular mechanisms of low-N tolerance, and also facilitate the genetic improvement of sorghum through marker-assisted selection or gene transformation. In this study we compared the transcriptomes of root tissues from seven sorghum genotypes having different genetic backgrounds with contrasting low-N tolerance by the RNAseq deep sequencing data. Several genes were found which are common differentially expressed genes between four low-N tolerant sorghum genotypes (San Chi San, China17, KS78 and high-NUE bulk) and three sensitive genotypes (CK60, BTx623 and low-NUE bulk). RNAseq deep sequencing