Ontology highlight
ABSTRACT:
PROVIDER: PRJNA595795 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Tea plants (Camellia sinensis) present an excellent system to study evolution and diversification of specialized metabolites due to their abundance in classes, numbers and contents. A large number of tea cultivars have been cultivated throughout the world not only because of their adaption to different environments but of selection for specific flavors. The chemical and genetic basis for unique taste and aroma of different tea cultivars remains largely unknown, but is critical for guiding genetic breeding of new cultivars. Using transcriptomic data from 136 representative tea accessions in China, we obtain 925,854 high-quality single-nucleotide polymorphisms (SNPs) useful for marker-assisted breeding. Phylogenetic and population structure analyses separate sampled tea accessions into five major groups. Different major alleles are identified on 1183 SNP sites for the two major types of tea, C. sinensis var. assamica (CSA) and C. sinensis var. sinensis (CSS), reflecting fixation of these alleles after population divergence. Non-targeted metabolomic analyses detect 2,818 and 2,311 metabolic features in tea samples in positive and negative ionization modes, respectively, including 355 and 286 metabolites respectively that are differentially accumulated in different tea groups. Each phylogenetic group contains signature metabolites. In particular, CSA tea accessions are featured with high accumulation of diverse classes of flavonoid compounds, such as flavanols, flavonol mono-/di-glycosides and proanthocyanidin dimers. Comparisons of gene expression profiles of different tea groups identify hundreds of differentially expressed genes with some involved in the biosynthesis of characteristic tea metabolites, reflecting a combinational effect of genetic and environmental factors. Taken together, our study provides new insights into the phylogenetic relationships, molecular markers, metabolite compositions, and gene expression profiles of representative cultivated tea accessions in China, which are beneficial for targeted tea breeding and improvement.
2020-10-05 | MTBLS1405 | MetaboLights
Project description:To investigate the large-scale gene expression in different tea clones, a custom oligo microarray was developed using sequences from RNA-seq for probe designing. We succeeded in developing a tea oligo microarray resource which can be successfully used to analyze gene expression in any tea clones without the need for prior sequence knowlege.
2015-01-01 | GSE52255 | GEO
Project description:We have sequenced messenger RNA isolated from seedling tissue for 19 accessions of Arabidopsis thaliana (with biological replication). The 19 accessions for which RNA-Seq reads were collected have served as the founders for the MAGIC lines, a high-resolution recombinant inbred line mapping resource. RNA sequencing data was used to examine differential gene expression among the accessions.
2011-08-29 | GSE30720 | GEO
Project description:We produced RNA-Seq reads from messenger RNA isolated from root tissue for the 19 MAGIC founder accessions (inbred strains) of Arabidopsis thaliana (see Gan et al. 2011. Nature 477:419-23 for a description of the MAGIC genetic mapping resource). The read data was generated with biological replication (two replicates). The resulting RNA-Seq data provide a resource to assess root gene expression across different accessions of A. thaliana. Comparable RNA-Seq read data for the MAGIC founder accessions for aerial seedling tissue has previously been released under GEO series GSE30720 (Gan et al. 2011. Nature, 477:419-23).
2013-12-11 | GSE53198 | GEO
Project description:RNA-seq library of A.thaliana accessions
| PRJEB51240 | ENA
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
2016-09-01 | E-GEOD-66615 | biostudies-arrayexpress