Project description:This genome-scale metabolic model (GEM) of Corynebacterium tuberculostearicum strain DSM 44922 (Taxon ID 38304) was initially built with CarveMe version 1.5.1 based on the genome assembly with NCBI accession GCF_013408445.1 and then underwent a series of careful semi-automatic and manual curation. It is the first model curated using the Python tool MCC for mass and charge curation.
Project description:Durum wheat (Triticum turgidum L. ssp. durum) is a major cereal and staple in the semi-arid regions of the Mediterranean Basin. After assembling the Platinum-quality reference genome for Svevo durum wheat cultivar, coupling PACBIO HiFi long read 35X sequencing with BIONANO Optical Mapping and Hi-C conformation capture, a complete and accurate gene annotation was then obtained by coupling Illumina RNASeq and Nanopore Isoseq sequencing from multiple tissues. The gene expression was investigated in root and shoot samples collected from plants grown under control condition or subjected to heat, salinity and osmotic stresses or to nitrogen application to create a transcriptional atlas of durum wheat response to abiotic stresses.
Project description:Durum wheat (Triticum turgidum L. ssp. durum) is a major cereal and staple in the semi-arid regions of the Mediterranean Basin. It originates from BBAA wild tetraploid domesticated in Neolithic era, later evolving to domesticated emmer and then to up to 11 T. turgidum subspecies, including durum wheat landraces and modern cultivars. Tetraploid wheat is the donor of the A and B genomes of hexaploid bread wheat (DDAABB), representing therefore a valuable source of genetic variability and beneficial alleles for both durum and bread wheat breeding. After assembling the Platinum-quality reference genome for Svevo durum wheat cultivar coupling PACBIO HiFi long read 35X sequencing with BIONANO Optical Mapping and Hi-C conformation capture, a complete and accurate gene annotation was then obtained by coupling Illumina RNASeq and Nanopore Isoseq sequencing from multiple tissues. The expression of 68,154 high confidence genes together with more than 100,000 low confidence, TE-related or long non-coding genes was investigated on 30 diverse tissues from grain, root, leaf, and spike samples across multiple developmental time points to create a transcriptional atlas of durum wheat development.
Project description:Water deficiency and heat stress can severely limit crop production and quality. Stress imposed on the parents during reproduction could have transgenerational effects on their progeny. Seeds with different origins can vary significantly in germination time-course and early growth. Here, we investigated how water-deficit and heat stress on parental durum wheat plants affected seedling establishment of the subsequent generation. One stress-tolerant and one stress-sensitive Australian durum genotype were used. Seeds were collected from parents with or without exposure to stress during reproduction. Generally stress on the previous generation negatively affected seed germination and seedling vigour, but to a lesser extent in the tolerant variety. Small RNA sequencing utilising the new durum genome assembly has revealed significant differences in microRNA (miRNA) expression in the two genotypes. A bioinformatics approach was used to identify multiple miRNA targets which have critical molecular functions in stress adaptation and plant development and could therefore contribute to the phenotypic differences observed. Our data provides the first confirmation of the transgenerational effects of reproductive-stage stress on germination and seedling establishment in durum wheat. New insights gained on the epigenetic level indicate that durum miRNAs could be key factors in optimising seed vigour for superior breeding germplasm and/or varieties.
Project description:The data set comprises results from the whole cellular proteome, secreted proteins and proteins located on the bacterial surface of Corynebacterium pseudotuberculosis. The theroretical proteome was created from genome analysis and characterized using bioinformatical analysis.
Project description:Water-deficit and heat stress negatively impact crop production. Mechanisms underlying the response of durum wheat to such stresses are not well understood. With the new durum wheat genome assembly, we conducted the first multi-omics analysis with next-generation sequencing, providing a comprehensive description of the durum wheat small RNAome (sRNAome), mRNA transcriptome, and degradome. Single and combined water-deficit and heat stress were applied to stress-tolerant and -sensitive Australian genotypes to study their response at multiple time-points during reproduction. Analysis of 120 sRNA libraries identified 523 microRNAs (miRNAs), of which 55 were novel. Differentially expressed miRNAs (DEMs) were identified that had significantly altered expression subject to stress type, genotype, and time-point. Transcriptome sequencing identified 49,436 genes, with differentially expressed genes (DEGs) linked to processes associated with hormone homeostasis, photosynthesis, and signaling. With the first durum wheat degradome report, over 100,000 transcript target sites were characterized, and new miRNA-mRNA regulatory pairs were discovered. Integrated omics analysis identified key miRNA-mRNA modules (particularly, novel pairs of miRNAs and transcription factors) with antagonistic regulatory patterns subject to different stresses. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis revealed significant roles in plant growth and stress adaptation. Our research provides novel and fundamental knowledge, at the whole-genome level, for transcriptional and post-transcriptional stress regulation in durum wheat.
Project description:Strains: non-producing refernece strain pXMJ19 (CR099 pXMJ19; Goldbeck et al., 2021) and Pediocin-producer pxMJ19 ped (CR099 pXMJ19 Ptac pedACDCg, Goldbeck et al., 2021) Pediocin-producing and non-producing strains of Corynebacterium glutamicum were compared in a whole genome microarray analysis setup in order to identify potential strain optimization targets