Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of leaf color at different development stages. The goals of this study are to compare anthocyanin biosynthesis, chlorophyll metabolism and chloroplast organization transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods: Leaf mRNA profiles of 12 RNA sequencing libraries (S1, S2, S3_S, and S3_C) were generated by deep sequencing, in triplicate, using an Illumina HiSeq 4000 system. After removing reads of low quality, those that remained were mapped to the reference genome (ftp://ftp.ensemblgenomes.org/pub/release-38/plants/genbank/brassica_oleracea/) using the HISAT package, allowing for a maximum of two mismatches and multiple alignments per read (up to 20 by default). qRT–PCR validation was performed using SYBR Green assays Results: Using an optimized data analysis workflow, we mapped about 571.74 million sequence reads per sample to the the reference genome (ftp://ftp.ensemblgenomes.org/pub/release-38/plants/genbank/brassica_oleracea/) and identified 99, 391, 74, and 543 DEGs were detected in pairwise comparison (S2 vs. S1, S3_S vs. S2, S3_C vs. S2, and S3_S vs. S3_C, respectively). The DEGs were associated with ‘photosynthesis’and other pathways in the Kyoto Encyclopedia of Genes and Genomes database; DEGs related to chloroplast organization were identified in the Gene Ontology analysis. The DEGs identified by RNA sequencing were confirmed by qRT-PCR analysis, indicating that the data were reliable. These findings provide information that can be useful for investigating the molecular basis for leaf variegation in ornamental kale and other plants. Conclusions: The results presented here reveal changes in the transcriptome profile of a bicolor leaf kale. DEGs related to anthocyanin biosynthesis, chlorophyll metabolism and chloroplast organization were detected. These results demonstrate that leaf color at different stages of development is influenced by anthocyanin biosynthesis, chloroplast and pigment metabolism, providing a foundation for investigating the molecular basis for bicolor leaf in ornamental kale and other plants.
Project description:We developed a commercially available whole-transcriptome sorghum microarray (Sorgh-WTa520972F) and generated this dataset to identify tissue and genotype-specific expression patterns for all identified Sorghum bicolor exons and UTRs. The genechip contains 1,026,373 probes covering 149,182 exons (27,577 genes) across the Sorghum bicolor nuclear, chloroplast and mitochondrial genomes. Specific probesets were also included for putative non-coding RNAs that may play a role in gene regulation (e.g., microRNAs), and confirmed functional small RNAs in related species (corn and sugarcane) were also included in our array design.
2013-12-31 | GSE49879 | GEO
Project description:Chloroplast genome sequencing of Saposhnikovia divaricata
| PRJNA752287 | ENA
Project description:Effects of 1-methylcyclopropene on the antioxidant system and phenolic metabolism in postharvest Gynura bicolor DC
Project description:Illumina HiSeq technology was used to generate mRNA profiles from Meliniomyces bicolor mycorrhizal roots compared to free-living mycelium . Mycorrhizal roots and control mycelium were harvested after 113 days and used for RNA extraction. Reads of 150bp were generated and aligned to Meliniomyces bicolor transcripts (https://genome.jgi.doe.gov/Melbi2/Melbi2.home.html) using CLC Genomics Workbench 8.
Project description:We developed a commercially available whole-transcriptome sorghum microarray (Sorgh-WTa520972F) and generated this dataset to identify tissue and genotype-specific expression patterns for all identified Sorghum bicolor exons and UTRs. The genechip contains 1,026,373 probes covering 149,182 exons (27,577 genes) across the Sorghum bicolor nuclear, chloroplast and mitochondrial genomes. Specific probesets were also included for putative non-coding RNAs that may play a role in gene regulation (e.g., microRNAs), and confirmed functional small RNAs in related species (corn and sugarcane) were also included in our array design. 78 samples were analyzed from four different tissue types (shoot, seedling, leaves and stem), two dissected stem tissues (pith and rind) and six diverse genotypes (PI455230, Atlas, PI152611, AR2400, R159, and Fremont)