Project description:We identified hankyphage prophages within B. thetaiotaomicron isolates gathered from French hospitals. We extracted genomic DNA from an overnight culture from a single colony of each strain and sequenced them using Nanopore sequencing using the Plasmidsaurus platform. This long-read approach helped the assembly of the phages and determination of the hankyphage ends. We also improved the annotation of the reference hankyphage (hankyphage p00 from P. dorei HM719) using a structural prediction approach and annotated our B. thetaiotaomicron hankyphages using this new annotation. In this project we upload the genomic raw reads of nanopore sequencing of our hankyphage-bearing B. thetaiotaomicron collection (jmh strains) and the processed assembled hankyphages.
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: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:Exserohilum turcicum is a fungal pathogen that causes northern corn leaf blight and sorghum leaf blight. However, strains are host-specific, meaning a strain typically only causes disease on either maize or sorghum. This pathosystem provides a unique opportunity to identify the mechanisms underlying host specificity through genomic and transcriptomic studies. To characterize host specificity, we (i) constructed de novo annotated assemblies of one sorghum- (15St008) and one maize-specific (Et52B) E. turcicum strain, ii) identified and characterized structural changes between the two genomes, and (iii) compared differential gene expression. This GEO project contains the gene expression of the sorghum-specific strain (15St008) during in planta infection of sorghum and in axenic cultures.
Project description:Transfer RNAs are the fundamental adapter molecules of protein synthesis and the most abundant and heterogeneous class of noncoding RNA molecules in cells. The study of tRNA repertoires remains challenging, complicated by the presence of dozens of post transcriptional modifications. Nanopore sequencing is an emerging technology with promise for both tRNA sequencing and the detection of RNA modifications; however, such studies have been limited by the throughput and accuracy of direct RNA sequencing methods. Moreover, detection of the complete set of tRNA modifications by nanopore sequencing remains challenging. Here we show that recent updates to nanopore direct RNA sequencing chemistry (RNA004) combined with our own optimizations to tRNA sequencing protocols and analysis workflows enable high throughput coverage of tRNA molecules and characterization of nanopore signals produced by 43 distinct RNA modifications. We share best practices and protocols for nanopore sequencing of tRNA and further report successful detection of low abundance mitochondrial and viral tRNAs, providing proof of concept for use of nanopore sequencing to study tRNA populations in the context of infection and organelle biology. This work provides a roadmap to guide future efforts towards de novo detection of RNA modifications across multiple organisms using nanopore sequencing.
Project description:In this study, we compared the transcriptome map of maize and sorghum using PacBio single-molecule long-read sequencing from multiple matched tissues in each species. Maize and sorghum are both important crops with similar overall plant architectures, but they have key differences, especially in regard to their inflorescences. To better understand these two organisms at the molecular level, we compared the transcriptional profiles of both protein-coding and non-coding transcripts in matched tissues using large-scale single-molecule sequencing from 130 RSII cells and 5 Sequel cells, as well as deep short-read RNA sequencing. The use of multiple size-fractionated libraries (<1 kb, 12 kb, 23 kb, 35 kb, and >5 kb) enhanced our capture of non-redundant transcripts in these tissues.
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).