DrEpiHirs
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB79884 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Epilobium hirsutum chloroplast Genome sequencing and assembly
| PRJNA734095 | ENA
Project description:We compared different days post-anthesis (5DPA, 10DPA, 15DPA and 25DPA) differentially expressed genes (DEGs) in fiber development between G. hirsutum and G. barbadense. In addition, we analysis the differentially expressed genes (DEGs) function using the database for annotation, visualization and integrated discovery (DAVID). Overall, gene expression pattern have significantly difference between G. hirsutum and G. barbadense. In this study, G. barbadense DEGS in different two DPA are significantly more than G. hirsutum. In addation, there are 18937 DEGs were identified in fruit development and postembryonic development pathways and only upregulated in G. barbadense only. Taken together, these findings suggest that there are considerable differences of gene expression between G. hirsutum and G. barbadense in cotton fiber development different stages.
2021-10-23 | GSE95146 | GEO
Project description:The plants in Epilobium genus are considered to have several important medicinal properties due to unique chemical composition. Although metabolic profiles of medicinal plants are mainly controlled by genetic factors, their production is also to some degree influenced by environmental factors, thus, variations in the levels of phytochemicals may represent long term ecological and evolutionary interactions. In order to depict the magnitude of natural variation in level of chemical compounds among conspecific populations of Epilobium hirsutum (n=31) and E. parviflorum (n=16), metabolite profiling of aerial parts of plants was performed with GCqMS analysis. Putative identification and structure annotation revealed the presence of 74 compounds including 46 compounds considered as secondary metabolites categorized into flavonoids (n=8), phenolic acids (n=26), steroids (n=3), terpenes (n=5) across all populations. Although there was a considerable natural variation among conspecific population, principal component analysis revealed a clear separation of populations of each species based on the second main principal component which was highly correlated with 8 secondary metabolites. The level of secondary metabolites was significantly correlated between species (r=0.91), suggesting shared metabolic pathways underlying the production of chemical compounds. In addition, redundancy and variance partitioning analyses by including bioclimatic variables and altitude revealed a significant contribution of elevation in explaining total variation of secondary metabolites in E. hirsutum. Two third of all secondary metabolites were significantly correlated with altitude in E. hirsutum. The large scale geographic analyses of populations revealed additionally detected flavonoids and terpenes (E. hirsutum, and E. parviflorum) and steroid (E. hirsutum) compounds for the first time. This study provides significant information on additional chemical compounds found across the distribution range of the species and emphasizes the importance of geographic wide sampling as a valuable approach to depict both intraspecific and interspecific variability in chemical traits.
2020-12-13 | MSV000086585 | GNPS
Project description:Comparative RNA-Seq study of expression in Gossypium hirsutum nectaries
2018-04-19 | GSE113373 | GEO
Project description:To identify potential miRNAs involved in fiber development and elucidate their expression differences between G. barbadense and G. hirsutum, we constructed two small RNA libraries, Gb10 and Gh10, prepared from fibers of 3-79 (G. barbadense) and TM-1 (G. hirsutum) collected at 10 days post-anthesis (DPA). We identified 28 conserved miRNA families, including 24 that exactly match known plant miRNA families in miRBase. With MIREAP and newly developed software miRsearcher, 7 candidate-novel miRNAs were found. 5 candidate-novel miRNAs were expressed in both species, 2 candidate-novel miRNAs were expressed only in one species. Moreover, 4 miRNA families showed significant expression differences between sea-island cotton and upland cotton in 10 DPA fibers.
2010-12-03 | GSE25773 | GEO