Ontology highlight
ABSTRACT:
PROVIDER: PRJNA737197 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14805724_1.fastq.gz | Fastqsanger.gz | |||
| SRR14805724_2.fastq.gz | Fastqsanger.gz | |||
| SRR14805725_1.fastq.gz | Fastqsanger.gz | |||
| SRR14805725_2.fastq.gz | Fastqsanger.gz | |||
| SRR14805726_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 48 |
Similar Datasets
Project description:Metatranscriptome profiling of a harmful algal bloom.
| PRJNA241185 | ENA
Project description:Harmful algal blooms are induced largely by nutrient enrichment common in warm waters. An increasingly frequent phenomenon is the “red tide”: blooms of dinoflagellate microalgae that accumulate toxins lethal to other organisms in high doses. Here, we present the de novo assembled genome (~4.75 Gbp) of Prorocentrum cordatum, a globally abundant, bloom-forming dinoflagellate, and the associated transcriptome, proteome, and metabolome data from axenic cultures to elucidate the microalgal molecular responses to heat stress. We discovered, in a high-G+C genome with long introns and extensive genetic duplication, a complementary mechanism between RNA editing and exon usage that regulates dynamic expression and functional diversity of genes and proteins, and metabolic profiles that reflect reduced capacities in photosynthesis, central metabolism, and protein synthesis. These results based on multi-omics evidence demonstrate the genomic hallmark of a bloom-forming dinoflagellate, and how the complex gene structures combined with multi-level transcriptional regulation underpin concerted heat-stress responses.
2023-10-18 | PXD046193 | Pride
Project description:Sequencing the metatranscriptome can provide information about the response of organisms to varying environmental conditions. We present a methodology for obtaining random whole-community mRNA from a complex microbial assemblage using Pyrosequencing. The metatranscriptome had, with minimum contamination by ribosomal RNA, significant coverage of abundant transcripts, and included significantly more potentially novel proteins than in the metagenome. Keywords: metatranscriptome, mesocosm, ocean acidification This experiment is part of a much larger experiment. We have produced 4 454 metatranscriptomic datasets and 6 454 metagenomic datasets. These were derived from 4 samples. The experiment is an ocean acidification mesocosm set up in a Norwegian Fjord in 2006. We suspended 6 bags containing 11,000 L of sea water in a Coastal Fjord and then we bubbled CO2 through three of these bags to simulate ocean acidification conditions in the year 2100. The other three bags were bubbled with air. We then induced a phytoplankton bloom in all six bags and took measurements and performed analyses of phytoplankton, bacterioplankton and physiochemical characteristics over a 22 day period. We took water samples from the peak of the phytoplankton bloom and following the decline of the phytoplankton bloom to analyses using 454 metagenomics and 454 metatranscriptomics. Day 1, High CO2 Bag and Day 1, Present Day Bag, refer to the metatranscriptomes from the peak of the bloom. Day 2, High CO2 Bag and Day 2, Present Day Bag, refer to the metatranscriptomes following the decline of the bloom. Obviously High CO2 refers to the ocean acidification mesocosm and Present Day refers to the control mesocosm. Raw data for both the metagenomic and metatranscriptomic components are available at NCBI's Short Read Archive at ftp://ftp.ncbi.nlm.nih.gov/sra/Studies/SRP000/SRP000101
2008-02-08 | E-GEOD-10119 | biostudies-arrayexpress