Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1235667 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32859712_1.fastq.gz | Fastqsanger.gz | |||
| SRR32859712_2.fastq.gz | Fastqsanger.gz | |||
| SRR32859713_1.fastq.gz | Fastqsanger.gz | |||
| SRR32859713_2.fastq.gz | Fastqsanger.gz | |||
| SRR32859714_1.fastq.gz | Fastqsanger.gz |
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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.
2021-03-27 | GSE115279 | GEO
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 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 1028, 4323, 428, and 1033 DEGs were detected in pairwise comparison (S2 vs. S1, S3_S vs. S2, S3_S vs. S2, and S3_S vs. S3_C, respectively). The DEGs were associated with ‘photosynthesis’, ‘carbon fixation in photosynthetic organisms’, ‘porphyrin and chlorophyll metabolism’ 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 variegated leaf kale. DEGs related to chlorophyll metabolism and chloroplast organization were detected. These results demonstrate that leaf color at different stages of development is influenced by chloroplast and pigment metabolism, providing a foundation for investigating the molecular basis for leaf variegation in ornamental kale and other plants.
2021-03-27 | GSE112493 | GEO
Project description:Transcriptome analyses of variegated leaf development in ornamental kale
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Project description:Transcriptome analyses of bicolor leaf development in ornamental kale
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Project description:Brassica oleracea and Brassica napus are comprised of diverse cultivars that collectively constitute an important global food source. Of those, the Brassica oleracea convar. acephala cultivar group containing var. sabellica and var. palmifolia and Brassica napus var. pabularia, collectively known as kale, are nutritious leafy greens consumed for their abundance of vitamins and micronutrients. Typified by their curly, serrated or wavy leaves, kale varieties have been primarily defined based on their leaf morphology and geographic origin, despite maintaining complex genetic backgrounds. With changes in the diel molecular environment directly tied to multiple agronomic traits across the food production landscape (e.g. time-of-day nutritional content) and kale representing a candidate crop for vertical farming, we selected nine diverse kale varieties encompassing a wide swath of consumer kale varieties for growth under LED lights using precise real-world dawn/dusk growth conditions followed by quantitative GC-MS metabolomic and LC-MS proteomic analyses. With plant growth and development driven by the day-to-day molecular activities of plants, we harvested kale leaf tissue at end-of-day (ED) and end-of-night (EN) time-points for all metabolomic and proteomic analyses. Our results reveal that kale forms 2 distinct groups, defined by their diel metabolome and proteome signatures primarily involving amino acids and sugars along, with proteome changes in carbon and nitrogen metabolism, mRNA splicing, protein translation and light harvesting. Together, our analysis have derived robust quantitative insights into the diel growth and development landscape of kale, significantly advancing our fundamental understanding of this nutritious leafy green for next-generation breeding and biotechnology.
2023-07-26 | PXD031780 | Pride
Project description:High plasticity of common wheat is attributed to the captured and polyploidization-promoted diversity. However, uncontrolled subgenome diversification can lead to hybrid conflict and dysgenesis, resulting in decreased diversity. How genomic diversity is maintained and interpreted to increase plasticity is unclear. By data-mining from the binding of 193 genome-wide trans-factors and genetic perturbations in common wheat, we identified LHP1 as a major regulator of subgenome-diversified defense genes, enhancer RNAs, and metabolite synthesis-related gene clusters via H3K27me3. Stripe rust infection leads to a global decrease in LHP1-mediated H3K27me3, deprivation of which enhances common wheat stripe rust resistance. We also revealed the consistency between subgenome diversity and population diversity, potentially promoted by LHP1, implying the recent diversification preferentially occurred in the captured subgenome-diversified regions regulated by LHP1. Thus, common wheat benefitted from multi-faced role of LHP1 in promoting sequence diversity and repressing subgenome-diversified defenses; this constraint is eliminated by pathogen infections, enabling timely release and fixation of favorable variations, conferring the evolutionary advantage and high plasticity of common wheat.
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