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ABSTRACT:
PROVIDER: PRJNA532325 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Dinoflagellate blooms are natural phenomena that have drawn global attention due to their huge negative impacts on marine ecosystems, mariculture and human health. Although the understanding of dinoflagellate blooms has been significantly improved over the past half century, little is known about the underlying mechanisms sustaining the high biomass growth rate during the bloom period which is paradoxically characterized by low dissolved CO2 and inorganic nutrients. Here, we compared the metaproteomes of non-bloom, mid-bloom and late-bloom cells of a marine dinoflagellate Prorocentrum donghaiense in the coastal East China Sea, to understand the underlying mechanisms sustaining high biomass growth rate under the typically low CO2 and inorganic nutrient conditions.
2021-01-21 | PXD018006 | Pride
Project description:Prorocentrum donghaiense RNA-seq and microRNA sequencing Raw sequence reads
| PRJNA374496 | ENA
Project description:we applied a metaproteomic approach to investigate the global protein expression profiles of two co-existing phytoplankton species H. akashiwo and P. donghaiense during their bloom periods, and characterized the differentially expressed proteins. Our results indicated different light-harvesting ability and nutritional niche divergence in utilization of carbon, nitrogen and phosphorus drove bloom occurrence of the two phytoplankton species under different ambient conditions.
2020-03-12 | PXD014327 | Pride
Project description:Prorocentrum donghaiense Transcriptome or Gene expression
| PRJNA436946 | ENA
Project description:Prorocentrum donghaiense Transcriptome or Gene expression
| PRJNA417987 | ENA
Project description:Prorocentrum donghaiense Transcriptome or Gene expression
| PRJNA388117 | ENA
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