Project description:MicroRNAs (miRNAs) are a class of non-coding small RNAs (sRNAs) that play crucial regulatory roles in various developmental processes. Silique length indirectly influences seed yield in rapeseed (Brassica napus); however, the molecular roles of miRNAs in silique length are largely unknown. Here, backcross progenies of rapeseed with long siliques (LS) and short siliques (SS) were used to elucidate this role. Four small RNA libraries from early developing siliques were sequenced, and a total of 814 non-redundant miRNA precursors were identified, representing 65 known miRNAs, and 394 novel miRNAs. Expression analyses revealed 12 known miRNAs and 5 novel miRNAs that were differentially expressed in LS and SS lines. Furthermore, though two degradome sequencing, we annotated 522 cleavage events. An analysis of correlated expression between differentially expressed miRNAs and their targets demonstrated that some transcription factors might repress cell proliferation or auxin signal transduction to control silique length, and that a Pi/Cu deficiency might also restrict silique development. More significantly, the overexpression of miR160 in rapeseed may repress auxin response factors and result in increased silique length, illustrating that silique length could be regulated via an auxin-response pathway. These results will serve as a foundation for future research in B. napus.
2019-08-01 | GSE107056 | GEO
Project description:Expression profile analyze between short silique and long silique in rapeseed
Project description:This study investigates the transcriptome and physiological responses of rapeseed to post-flowering temperature increases, providing valuable insights into the molecular mechanisms underlying rapeseed tolerance to heat stress. Two rapeseed genotypes, Lumen and Solar, were assessed under control and heat stress conditions in field experiments conducted in Valdivia, Chile. Results showed that seed yield and seed number were negatively affected by heat stress, with genotype-specific responses. Lumen exhibited a 9.3% average seed yield reduction, while Solar showed a 28.7% reduction. RNA-seq analysis of siliques and seeds revealed tissue-specific responses to heat stress, with siliques being more sensitive to temperature stress. Hierarchical clustering analysis identified distinct gene clusters reflecting different aspects of heat stress adaptation in siliques, with a role for protein folding in maintaining silique development and seed quality under high temperature conditions. In seeds, three distinct patterns of heat-responsive gene expression were observed, with genes involved in protein folding and response to heat showing genotype-specific expression. Gene coexpression network analysis revealed major modules for rapeseed yield and quality, as well as the trade-off between seed number and seed weight. Overall, this study contributes to understanding the molecular mechanisms underlying rapeseed tolerance to heat stress and can inform crop improvement strategies targeting yield optimization under changing environmental conditions.
2023-09-02 | GSE241954 | GEO
Project description:RNA-seq data of rapeseed (Brassica napus)
| PRJNA680826 | ENA
Project description:RNA seq data of internodes in rapeseed
| PRJNA508574 | ENA
Project description:The raw data of RNA-seq of rapeseed
Project description:To learn more about the role of FRUITFULL (FUL), in pistil/silique development, we performed a ChIP-seq experiment to identify direct targets of FUL in the pistil/silique.
Project description:Exploring the mechanisms of valvular heart disease (VHD) at the cellular level may be useful to identify new therapeutic targets; however, the comprehensive cellular landscape of non-diseased human cardiac valve leaflets remains unclear. The cellular landscapes of non-diseased human cardiac valve leaflets (five aortic valves, five pulmonary valves, five tricuspid valves, and three mitral valves) from end-stage heart failure patients undergoing heart transplantation were explored using single-cell RNA sequencing (scRNA-seq)
Project description:We performed single cell RNA sequencing (scRNA-seq) for 6,574 cells from the aortic valves of C57BL/6J (wild type), Ldlr-/-, and Apoe-/- mice. The extensive single cell profiles depicted hyperlipidemia-associated cellular dynamics in aortic valves.
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.