Seasonal and diel patterns of bacteriophages in the Red Sea
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB35627 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Earth tilted rotation and translation around the Sun produce one of the most pervasive rhythms on our planet, giving rise to seasonal variations in diel cycles. Although marine phytoplankton plays a key role on ecosystems, multiomics analysis of its response to these periodic environmental signals remains largely unexplored. The marine picoalga Ostreococcus tauri, which resides at the base of the green lineage, has been chosen as model organism due to its high abundance in marine phytoplankton and its cellular and genomic simplicity, making it the smallest free living eukaryote. Ostreococcus was subjected to different light regimes: summer long days, winter short days, constant light and constant dark conditions, to investigate these responses. Although 80% of the transcriptome presented diel rhythmicity, less than 5% maintained oscillations under constant conditions. A drastic reduction in proteome rhythmicity was observed with 55% of the proteins oscillating. Seasonal specific rhythms were found for key physiological processes such as cell cycle, photosynthesis, carotenoid biosynthesis, starch accumulation and nitrate assimilation. In this study, a global orchestration between transcriptome, proteome and physiological dynamics was characterised identifying specific seasonal temporal offsets between peaks in transcripts, proteins, and physiological responses.
2023-11-17 | PXD046992 | Pride
Project description:EMG produced TPA metagenomics assembly of the Metagenomic, Metatranscriptomic and Metviriomic analysis of samples collected at four time points during a single day at the Gulf of Aqaba in the Red Sea. (Red Sea Diel) data set
| PRJEB22527 | ENA
Project description:Virus-microbe interactions have been studied in great molecular details for many years in cultured model systems, yielding a plethora of knowledge on how viruses use and manipulate host machinery. Since the advent of molecular techniques and high-throughput sequencing, methods such as cooccurrence, nucleotide composition, and other statistical frameworks have been widely used to infer virus-microbe interactions, overcoming the limitations of culturing methods. However, their accuracy and relevance is still debatable as cooccurrence does not necessarily mean interaction. Here we introduce an ecological perspective of marine viral communities and potential interaction with their hosts, using analyses that make no prior assumptions on specific virus-host pairs. By size fractionating water samples into free viruses and microbes (i.e., also viruses inside or attached to their hosts) and looking at how viral group abundance changes over time along both fractions, we show that the viral community is undergoing a change in rank abundance across seasons, suggesting a seasonal succession of viruses in the Red Sea. We use abundance patterns in the different size fractions to classify viral clusters, indicating potential diverse interactions with their hosts and potential differences in life history traits between major viral groups. Finally, we show hourly resolved variations of intracellular abundance of similar viral groups, which might indicate differences in their infection cycles or metabolic capacities.
| S-EPMC7703586 | biostudies-literature
Project description:Metagenomic, Metatranscriptomic and Metviriomic analysis of samples collected at four time points during a single day at the Gulf of Aqaba in the Red Sea.
| PRJEB19060 | ENA
Project description:Metabolism, cell cycle stages, and related transcriptomes in eukaryotic algae change with the diel cycle of light availability. In the unicellular red alga Cyanidioschyzon merolae, the S and M phases occur at night. To examine how diel transcriptomic changes in metabolic pathways are related to the cell cycle and to identify all genes, for which mRNA levels change depending on the cell cycle, we examined diel transcriptomic changes in C. merolae. In addition, we compared transcriptomic changes between the wild type and transgenic lines, in which the cell cycle was uncoupled from the diel cycle by the depletion of either cyclin-dependent kinase A (CDKA) or retinoblastoma-related (RBR) protein. Of 4,775 nucleus-encoded genes, the mRNA levels of 1,979 genes exhibited diel transcriptomic changes in the wild type. Of these, the periodic expression patterns of 454 genes were abolished in the transgenic lines, suggesting that the expression of these genes is dependent on cell cycle progression. The periodic expression patterns of most metabolic genes, except those involved in starch degradation and de novo dNTP synthesis, were not affected in the transgenic lines, indicating that the cell cycle and transcriptomic changes in most metabolic pathways are independent of the diel cycle. Approximately 40% of the cell–cycle–dependent genes were of unknown function, and approximately 19% of these genes of unknown function are shared with the green alga Chlamydomonas reinhardtii. The dataset presented in this study will facilitate further studies on the cell cycle and its relationship with metabolism in eukaryotic algae.
2019-11-26 | GSE131944 | GEO
Project description:In the eastern United States the buckeye butterfly, Junonia coenia, shows a seasonal wing color polyphenism where adults emerging in the spring are pale brown, while those emerging in the autumn are dark red. This variation can be artificially induced in laboratory colonies, thus making J. coenia a useful model system to examine the developmental basis of phenotypic plasticity. We used RNA-seq to generate the first set of assembled transcripts for this species while simultaneously quantifying relative gene expression associated with development of alternative seasonal color morphs. The assembled consolidated wing transcriptome was 77.55 Mb. 16,251 contigs of over 1000bp in length were assembled, of which 3,145 were differentially expressed between stages and/or color morphs. Depending on the developmental stage, between 547 and 1420 transcripts were significantly differentially expressed between brown and red wing morphs. These extensive differences in gene expression stand in stark contrast to the much smaller numbers found in previous studies on genetic wing pattern variation, and suggest that environmentally induced phenotypic shifts may arise from very broad systemic processes. Overall gene ontology (GO) analyses revealed that genes associated with structural constituents of ribosomes and oxygen transport were significantly upregulated in the pale brown morph, while genes associated with peptidase activity were very significantly upregulated in the dark red morph. Focused analyses of candidate endocrine and pigmentation pathways revealed a number of notable genes upregulated in the red morph, including several ecdysone-related genes and cinnabar, an ommochrome pigment gene implicated in color pattern variation in other butterflies. Surprisingly, we found numerous melanin-related transcripts, including tan and yellow-family genes, strongly upregulated in the red morph, leading us to speculate that red pigmentation in autumn J. coenia may include red or brown melanins in addition to ommochromes. While we identified several endocrine and pigmentation genes as obvious candidates for color morph differentiation, we speculate that the majority of gene expression differences we observed were due to thermal stress response. The buckeye transcriptome provides a basis for further developmental studies of phenotypic plasticity.
2014-02-15 | GSE54819 | GEO
Project description:In the eastern United States the buckeye butterfly, Junonia coenia, shows a seasonal wing color polyphenism where adults emerging in the spring are pale brown, while those emerging in the autumn are dark red. This variation can be artificially induced in laboratory colonies, thus making J. coenia a useful model system to examine the developmental basis of phenotypic plasticity. We used RNA-seq to generate the first set of assembled transcripts for this species while simultaneously quantifying relative gene expression associated with development of alternative seasonal color morphs. The assembled consolidated wing transcriptome was 77.55 Mb. 16,251 contigs of over 1000bp in length were assembled, of which 3,145 were differentially expressed between stages and/or color morphs. Depending on the developmental stage, between 547 and 1420 transcripts were significantly differentially expressed between brown and red wing morphs. These extensive differences in gene expression stand in stark contrast to the much smaller numbers found in previous studies on genetic wing pattern variation, and suggest that environmentally induced phenotypic shifts may arise from very broad systemic processes. Overall gene ontology (GO) analyses revealed that genes associated with structural constituents of ribosomes and oxygen transport were significantly upregulated in the pale brown morph, while genes associated with peptidase activity were very significantly upregulated in the dark red morph. Focused analyses of candidate endocrine and pigmentation pathways revealed a number of notable genes upregulated in the red morph, including several ecdysone-related genes and cinnabar, an ommochrome pigment gene implicated in color pattern variation in other butterflies. Surprisingly, we found numerous melanin-related transcripts, including tan and yellow-family genes, strongly upregulated in the red morph, leading us to speculate that red pigmentation in autumn J. coenia may include red or brown melanins in addition to ommochromes. While we identified several endocrine and pigmentation genes as obvious candidates for color morph differentiation, we speculate that the majority of gene expression differences we observed were due to thermal stress response. The buckeye transcriptome provides a basis for further developmental studies of phenotypic plasticity. mRNA profiling of hind wings from 4 developmental stages of two color morphs (Rosa and Linea) of the buckeye butterfly (J. coenia), generated by deep sequencing, in triplicate, using Illumina GAII or HiSeq 2000.
2014-02-15 | E-GEOD-54819 | biostudies-arrayexpress
Project description:Red Sea mesopelagic prokaryotic diversity
| PRJEB49545 | ENA
Project description:Red Sea coral metatranscriptomes
| PRJNA638633 | ENA