Ontology highlight
ABSTRACT:
PROVIDER: PRJNA746096 | ENA |
REPOSITORIES: ENA
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:Genome sequencing of a harmful algal bloom forming cyanobacterium Planktothrix agardhii NIES-204
| PRJDB4739 | ENA
Project description:Harmful algal blooms present severe environmental threats, impacting water quality, aquatic ecosystems, and human health. The frequency and intensity of these blooms are rising, largely driven by global warming and changing climatic conditions. There is an urgent need for innovative methods to monitor blue-green algae, also known as cyanobacteria, to enable the implementation of preventative measures. Here, we show that native mass spectrometry is an effective tool for detecting cyanobacteria directly from lake samples, both prior and during bloom formation. Our approach allows for the rapid characterization of cyanobacterial populations within lakes, offering valuable insights into the dynamics of cyanobacterial species associated with harmful algae blooms. Overall, we highlight the exceptional capability of native mass spectrometry in directly detecting and monitoring cyanobacterial blooms, which will support the development of more effective strategies to mitigate this growing environmental challenge.
2025-07-28 | PXD065745 | Pride