Project description:The analysis of the mapped QTLs and their genetic dissection in the US grown japonica rice genotypes, Cypress and Lagrue at genomic and transcriptomic levels The gene expression profiling using Deseq was performed using data collected under control and heat stress For heat stress:a day/night temperature of 30°C (86°F)/28°C (82.4°F) for 10 h (20:00–6:00) was maintained while the control treatment was set at a day/night temperature of 30°C (86°F)/22.2°C (72°F) until harvest maturity (approximately 18–20% grain moisture content)

2023-03-29 | GSE220996 | GEO

Dissecting Agronomically Favorable Genotypes in Temperate Japonica Rice via Haplotype Analysis of a Japan-MAGIC Population

Project description:Crop breeding assembles genomic variants into cultivars via crossing and selection. Phenotypic selection has improved yield and lodging tolerance but has limited genetic insights. We show how specific genomic variants and their combinations underpin advances in modern rice breeding in Japan. Through genome-wide association study using a multi-parent advanced-generation intercross population derived from four temperate japonica cultivars, we identified 11 quantitative trait loci (QTLs) for key agronomic traits, including days to heading, shoot biomass, panicle length, and culm length under field conditions. GA20ox1, GA20ox2, and Hd1 were among the QTLs, and their natural variants were well conserved in temperate japonica cultivars bred in Japan, underscoring distinct selection pressures at these loci. By integrating genotype data with 5-year yield-performance-evaluation trials of elite cultivars, we found that cultivars carrying multiple-copy GA20ox1 and functional Hd1, together with non-functional ga20ox2, tended to have shorter culms and higher grain yield than cultivars with multiple-copy GA20ox1, functional Hd1, and GA20ox2. This yield advantage was consistent across latitudes in Japan. These results reveal favorable genotype combinations underlying modern japonica improvement and provide a genomic framework for breeding semi-dwarf, high-yielding cultivars adapted to temperate rice-growing regions in Asia.

2026-01-16 | GSE315158 | GEO

Tropheryma whipplei proteome - Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme

Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.

2017-12-18 | PXD006238 | Pride

tfGorAlbo

Project description:Gordius_albopunctatus, genomic and transcriptomic data

| PRJEB78907 | ENA