Project description:The RNA-Seq was used to analyze the expression profiling of genes in different ablescent stages of 'Anji Baicha' Examination of three tea leaf samples in yellow stage, white stage and green stage
Project description:Tea (Camellia sinensis (L.) O. Kuntze) is an important non-alcoholic commercial beverage crop. Tea tree is a perennial plant, and winter dormancy is its part of biological adaptation to environmental changes. We recently discovered a novel tea tree cultivar that can generate tender shoots in winter, but the regulatory mechanism of this ever-growing tender shoot development in winter is not clear. In this study, we conducted a proteomic analysis for identification of key genes and proteins differentially expressed between the winter and spring tender shoots, to explore the putative regulatory mechanisms and physiological basis of its ever-growing character during winter.
Project description:In this study, it is noticeable that 32 tea-specific miRNAs were confirmed on the base of genome survey, using deep sequencing and microarray hybridization, and many miRNAs might associate with secondary metabolites synthesis. Leaves, buds and roots were collected
Project description:The effects of increasing addition of green tea in dietary changes the bacterial populations in broiler ileum were evaluated. Four hundreds of AA broilers were randomly assigned to four groups with green tea addition of 0, 0.5, 1 and 2 percent in the diet. The body weight showed no difference but a digital increase positively correlated with addition of green tea. The content of green tea had a linear effect of lengthening the ileum villi. The barcoded DNA pyrosequencing method was used to reveal 15 phyla, 1157phylotypes and 3098 16S operational taxonomic units (OTUs). The most predominant bacterial phyla were Firmicutes (56.89%), Actinobacteria (30.58%), Proteobacteria (8.61%) and Bacteroidetes (2.72%). As the proportion of additional green tea increased, the abundance of phylum Actinobacteria (p=0.003) and Proteobacteria (p=0.049) almost linearly increased, while the proportion of Firmicutes (p=0.027) linearly decreased. Only 2 OTUs were significantly affected by the increased additive, Corynebacteriaceae (p=0.011) and Staphylococcaceae (p= 0.006). Triplot analysis suggested that the dominant phyla of Verrucomicrobia, TM7 and Actinobacteria were clearly related to the addition of green tea. Moreover, green tea addition influenced the construction of microbiota, and lengthened the villus in ileum by Monte Carlo permutation test. These findings provide a new understanding of the ileal microbial ecology, which may be useful in modulating the gut microbiome, and also the proper usage of powdered green tea.
Project description:In this study, it is noticeable that 32 tea-specific miRNAs were confirmed on the base of genome survey, using deep sequencing and microarray hybridization, and many miRNAs might associate with secondary metabolites synthesis.
Project description:Solexa sequencing technology was used to perform high throughput sequencing of the small RNA library from the cold treatment of tea leaves. Subsequently, aligning these sequencing date with plant known miRNAs, we characterized 112 C. sinensis conserved miRNAs. In addition, 215 potential candidate miRNAs were found; among them, 131 candidates with star sequence were chosen as novel miRNAs. There are both congruously and differently regulated miRNAs, and line-specific miRNAs were identified by microarray-based hybridization in response to cold stress. The miRNA chip included 3228 miRNA probes corresponding to miRNA transcripts listed in Sanger miRBase release 19.0 and 283 novel miRNAs probes founding in tea plant. In the study presented here, two tea plant cultivars, ‘Yingshuang’ (YS, a cold-tolerant tea plant cultivar) and ‘Baiye 1’ (BY, a cold-sensitive tea plant cultivar), were kept at 4°C for 4,12, 24 h, respectively, and 28°C for as control. These samples were used to acquire expression profiles of a total of 3,511 unique genes, leading to the successful construction of supervised
Project description:In this study, we performed deep sequencing and bioinformatics analyses of tea plant leaves to identify and characterize known and novel miRNAs. A total of 26,876,261 raw reads were produced from 2 libraries. We detected 422 known miRNAs belonging to 125 families, and 68 putative novel miRNAs.