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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942938_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942938_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942938_v1/ | public | [Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora damicornis collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) | Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. \n\nWe examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399 µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, from mid-January to late-March 2021, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). This dataset includes the gene expression data for these samples.\n\ncdm_data_type = Other\nVARIABLES:\ngene_id (unitless)\nRF13B (unitless)\nRF13D (unitless)\nRF14B (unitless)\nRF14C (unitless)\nRF15B (unitless)\nRF15D (unitless)\nRF16A (unitless)\nRF16C (unitless)\nRF17B (unitless)\nRF17D (unitless)\nRF18B (unitless)\nRF18D (unitless)\nRF19B (unitless)\nRF19C (unitless)\n... (34 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942938_v1/index.htmlTable | https://www.bco-dmo.org/dataset/942938
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942938_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942938_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_942938_v1 | |||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918852_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918852_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918852_v1/ | public | [T. pseudonana starve-recover experiments: Gene information] - Diatom (Thalassiosira pseudonana) gene information from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) | This dataset includes gene information for diatom Thalassiosira pseudonana grown during an experiment conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\" See \"Related Datasets\" section for T. pseudonana physiological data and cell information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages. In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased. In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nstage (unitless)\n... (5 more variables)\n | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918852_v1/index.htmlTable | https://www.bco-dmo.org/dataset/918852
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918852_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918852_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_918852_v1 |