Project description:Self-inhibition of pollen tubes plays a key role in SI, but the underlying mechanism in Camellia oleifera is poorly understood. Collection of secreted proteins from Camellia oleifera pollen tubes and ovaries for high-throughput sequencing.
Project description:We report the expression analysis of seed kernel in Camellia oleifera cultivars. In total 221 cultivars are sequenced by the Illumina sequencing experiments to obtain the gene expression profiles.
Project description:To identify the important genetic resources of tea oil accumulation and quality formation in Camellia oleifera, an important woody edible oil tree native to Southern China, we have designed and customized an expression profile chip of C. oleifera with 8×60 K on the basis of transcriptome sequencing of multiple tissue samples including kernels, roots, and leaves from multiple varieties. we used the mcroarrays to determine the gene expressions in kernel development of C. oleifera elite varieties'Huashuo' , 'Huaxin' , 'Huajin' and 'Jujian' respectively. Microarray results indicated a total of 10710 gene probes showed stable differential expression in the comparation of August vs June and 9987 in the comparation of October vs August. PATHWAY enrichment results of DEGs indicated that the oil synthesis and accumulation occured in the whole kernel development of C. oleifera, but were mainly concentrated from the nutrition high-speed synthesis period to the seed mature period, which was consistent with the variation trend of oil content and fatty acide composition in C. oleifera kernel development.
2020-03-11 | GSE146709 | GEO
Project description:Studies on rhizosphere soil microbial diversity of Camellia oleifera
| PRJNA910656 | ENA
Project description:Studies on rhizosphere soil microbial diversity of Camellia oleifera
Project description:Arsenic (As) bioavailability in the rice rhizosphere is influenced by many microbial interactions, particularly by metal-transforming functional groups at the root-soil interface. This study was conducted to examine As-transforming microbes and As-speciation in the rice rhizosphere compartments, in response to two different water management practices (continuous and intermittently flooded), established on fields with high to low soil-As concentration. Microbial functional gene composition in the rhizosphere and root-plaque compartments were characterized using the GeoChip 4.0 microarray. Arsenic speciation and concentrations were analyzed in the rhizosphere soil, root-plaque, porewater and grain samples. Results indicated that intermittent flooding significantly altered As-speciation in the rhizosphere, and reduced methyl-As and AsIII concentrations in the pore water, root-plaque and rice grain. Ordination and taxonomic analysis of detected gene-probes indicated that root-plaque and rhizosphere assembled significantly different metal-transforming functional groups. Taxonomic non-redundancy was evident, suggesting that As-reduction, -oxidation and -methylation processes were performed by different microbial groups. As-transformation was coupled to different biogeochemical cycling processes establishing functional non-redundancy of rice-rhizosphere microbiome in response to both rhizosphere compartmentalization and experimental treatments. This study confirmed diverse As-biotransformation at root-soil interface and provided novel insights on their responses to water management, which can be applied for mitigating As-bioavailability and accumulation in rice grains.
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.