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: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: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: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: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
Project description:Four small RNA libraries from two contrasting sweet sorghum genotypes were sequenced. In this study, One hundred and ninety-five conserved miRNAs belonging to 56 families and 25 putative novel miRNAs from 28 precursors were identified, among which 38 conserved and 24 novel miRNAs were differentially expressed under Cd stress and/or between H18 and L69. Two groups of them: miR169p/q-nov_23 and miR408 were further focused through the coexpression analysis and might be involved in Cd transport, cytoskeleton activity and cell wall construction by regulating their targets. This study presents new insights into the regulatory roles of miRNAs in Cd accumulation and tolerance in sweet sorghum and will help to develop high-Cd accumulation or high Cd-resistant germplasm of sweet sorghum through molecular breeding and/or genetic engineering approaches.
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.