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log in [16S microbiome data for artificial reef sponges and seawater] - 16S microbiome metadata collected from shallow artificial reef sponges and seawater in the Florida Keys, USA from Apr 2021 to Aug 2021 (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Sponges are a dominant component of coral reefs worldwide and in the Caribbean, where their biomass exceeds that of reef-building corals. For almost a quarter century, the success of sponges in the Caribbean has been linked to their filter-feeding ability. However, recent work demonstrated that coexisting sponges on Caribbean reefs host unique communities of bacteria that might allow sponges to access multiple pools of nutrients that are not available to other organisms. In this project, the investigators will test the hypothesis that ecologically dominant sponge species in the Caribbean have unique metabolic strategies that are mediated by their associations with microbes that live within the sponge body.\n\nIn this dataset, we present the 16S rRNA microbiome NCBI accession and sample collection metadata for an artificial reef experiment where sponges of 10 species were placed on this temporary reef from April to August of 2021 and sampled using VacuSIP. VacuSIP methods capture incurrent (In) and excurrent (Ex) water from each sponge specimen. Incurrent represents the bacteria that are available for the sponge to consume via filter feeding and excurrent represents the bacteria that remain once sponges have consumed their preferred taxa. Additionally, we have provided microbiome metadata for the host sponges for several of these paired In/Ex samples. See the related dataset, NCBI Bioproject PRJNA1179970, for all sequence data. Microbiome data was generated using protocols from the Earth Microbiome project and sequencing was conducted on an Illumina MiSeq at Middle Tennessee State University. The data available at NCBI represents raw sequencing data, and no quality checks or sequencing filtering has been done on the uploaded sequences.\n\ncdm_data_type = Other\nVARIABLES:\ncollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\naccession (unitless)\nsample_name (unitless)\nspecies_ab (unitless)\nsample_type (unitless)\norganism (unitless)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_953999_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_935908_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_935908_v1/ public [Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in feces of coral reef fish] - Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in feces of coral reef fish collected on the north shore of Mo’orea, French Polynesia, Oct 2020 (CAREER: Testing the effects of predator-derived feces on host symbiont acquisition and health) Understanding how microbial communities in consumer feces may impact ecosystem health may improve conservation and restoration efforts. To test how microbial communities in fish feces may affect coral reef health, we collected fecal samples from ten fish species, ranging from obligate corallivore to grazer/detritivore. Additionally, samples of corals, algae, sediments, and seawater were collected to test whether bacterial taxa in these samples were also represented in fish feces (N = 5-14 per fish, coral, or algae species/genus). All collections were conducted in October 2020 from the back reef (1-2 m depth) and fore reef (5-10 m depth) in Moorea, between LTER sites 1 and 2 of the Moorea Coral Reef (MCR) Long Term Ecological Research (LTER) site. We conducted bacterial 16S rRNA gene metabarcoding on all samples and found that fecal communities of bacteria differed among fish guilds (obligate corallivores, facultative corallivores, grazer/detritivores). We also used real-time PCR to quantify abundances of Vibrio coralliilyticus, a known coral pathogen,  in all fecal samples. Samples were collected and processed, and data were analyzed, by the authors of Grupstra et al., 2023.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nSRA (unitless)\nBioSample (unitless)\norganism (unitless)\nstrain (unitless)\nisolation_source (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\ndepth_r (Depth, m)\nenv_broad_scale (unitless)\nhost_description (unitless)\nhost_tissue_sampled (unitless)\nhost_diet (unitless)\nhost_feces_dCT (cycles)\nhost_AphiaID (unitless)\nhost_ScientificName (unitless)\nhost_LSID (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_935908_v1/index.htmlTable https://www.bco-dmo.org/dataset/935908 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_935908_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_935908_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_935908_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928636_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928636_v1/ public [Ca. Aquarickettsia rohweri transcriptomes] - Sampling and experimental metadata related to 'Candidatus' Aquarickettsia rohweri transcriptome data from host Acropora cervicornis colonies collected at Looe Key, Lower Florida Keys from Apr to Jun of 2019 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) This dataset contains sampling and experimental metadata related to 'Candidatus' Aquarickettsia rohweri transcriptome sequences housed at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject PRJNA1048415. All host colonies (Acropora cervicornis genotype ML-50) were collected from the same location, the Mote Marine Laboratory in situ coral nursery in Looe Key, Lower Florida Keys between April and June of 2019.\n\nThe Rickettsiales-like bacterial parasite, 'Candidatus' Aquarickettsia rohweri (NCBI:txid2602574) is a ubiquitous coral symbiont that is strongly linked to coral disease susceptibility in staghorn coral, and is undergoing positive selection across the Caribbean. Although ‘Ca.' A. rohweri is a putative parasite, little is known about the activity of this bacterium in coral tissue. We performed a transcriptomic analyses of ‘Ca.' A. rohweri populations during a 6-week nutrient exposure experiment.  ‘Ca.' A. rohweri energy scavenging genes and those potentially involved during habitat transition are significantly upregulated during enrichment. Specifically, transcripts involved in signaling, virulence, two-component systems, and nutrient import genes are elevated under higher nutrients. These data support the predicted role of ‘Ca.' A. rohweri as a highly active nutrient-responsive A. cervicornis parasite and provide a glimpse at the mechanism of induced disease susceptibility while implicating nutrient exposure in its horizontal transmission.\n\ncdm_data_type = Other\nVARIABLES:\nSample_name (unitless)\nBioSample_Accession (unitless)\nSRA (unitless)\nBioProject (unitless)\nData_Type (unitless)\nScope (unitless)\nOrganism (unitless)\nCollected_Host_Organism (unitless)\nStrain (unitless)\nisolation_source (unitless)\nCollection_Year (unitless)\nCollection_date_note (unitless)\nTreatment (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928636_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/928636 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928636_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928636_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928636_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747872.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_747872/ public [Heterosigma akashiwo acclimation] - NCBI accessions of the harmful alga Heterosigma akashiwo (CCMP2393) grown under a range of CO2 concentrations from 200-1000 ppm (Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2) This dataset includes metadata associated with NCBI BioProject PRJNA377729 \\Impacts of Evolution on the Response of Phytoplankton Populations to Rising CO2\\ PRJNA377729: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA377729. The alga Heterosigma akashiwo was grown at CO2 levels from about 200 to 1000 ppm and then the DNA and RNA were sequenced.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nsample_title (unitless)\nbioproject_accession (unitless)\norganism (unitless)\nstrain (unitless)\nisolate (unitless)\nhost (unitless)\nisolation_source (unitless)\ntime (Collection Date, seconds since 1970-01-01T00:00:00Z)\ngeo_loc_name (unitless)\nsample_type (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\ndepth (m)\nenv_biome (unitless)\ngenotype (unitless)\nlat_lon (Latitude, decimal degrees)\npassage_history (unitless)\nsamp_size (unitless)\ntemp_C (degrees Celsius)\nlight_level_umol_m2_s (micromol photons m-2 s-1)\nlight_dark_hr (hours)\nMedia (unitless)\nCO2_ppm (parts per million)\nAlkalinity (micromol per kilogram (umol/kg))\npH (Sea Water Ph Reported On Total Scale, unitless; pH scale)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_747872/index.htmlTable https://www.bco-dmo.org/dataset/747872 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_747872.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_747872&showErrors=false&email= BCO-DMO bcodmo_dataset_747872
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_658497.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_658497 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_658497.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_658497/ public [Isolation culturing and sequencing of bacteria and viruses] - Isolation, culturing, and sequencing of bacteria and viruses collected in Canoe Cove, Nahant, MA during 2010 (Marine Bacterial Viruses project) (How can bacterial viruses succeed in the marine environment?) Isolation, culturing, and sequencing of bacteria and viruses collected in Canoe Cove, Nahant, MA during 2010 (Marine Bacterial Viruses project)\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nenv_biome (unitless)\ngeo_loc_name (unitless)\norganism_type (unitless)\ncollection_date (unitless)\nisolation_source (unitless)\nsample_name (unitless)\norganism (unitless)\nstrain (unitless)\nisolate (unitless)\nhost (unitless)\nlab_host (unitless)\nsample_type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntemp (Temperature, degrees celsius)\nordinal_day_of_isolation (unitless)\ndescription (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_658497_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_658497/index.htmlTable https://www.bco-dmo.org/dataset/658497 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_658497.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_658497&showErrors=false&email= BCO-DMO bcodmo_dataset_658497
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906740_v1/ public [Microbiome dynamics of coral reef and cleanerfish] - Microbiome dynamics of coral reef and cleanerfish from ecological surveys, in situ manipulations, and laboratory experiments conducted from 2020-2021 (Collaborative Research: Cleaning stations as hubs for the maintenance and recovery of microbial diversity on coral reefs.) Coral reefs host some of the most iconic symbiotic interactions in nature and are host to the highest diversity of life on the planet. Cleaning symbiosis, wherein small fish or shrimp remove external parasites and associated microorganisms from specific clients, is common on coral reefs. Sites on the reef occupied by cleaners, or \"cleaning stations\", attract a wide variety of fish species that engage in direct physical contact with the cleaner. In this study, we used a combination of ecological surveys, in situ manipulations, and laboratory experiments to examine the unique features of cleaning stations to understand transfer of bacterial and archaeal symbionts amongst fish and within coral reef environment. We used microbial 16S rRNA gene amplicons, environmental parameters, and other molecular tools to evaluate the dynamics between coral microbiomes, cleanerfish skin microbiomes, and the environment. This dataset contains metadata describing sequenced samples, including sample name, data deposition accession records, and measurements at the time of sample collection.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject_accession (unitless)\nBioSample_accession (unitless)\nsample_name (unitless)\nSRA_accession (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nisolation_source (unitless)\nhost_common_name (unitless)\nhost_disease (unitless)\nhost_condition (unitless)\nhost_coral_cleaner_goby_pretreatment (unitless)\nhost_coral_reef_id (unitless)\nlocation_survey_date (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906740_v1/index.htmlTable https://www.bco-dmo.org/dataset/906740 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906740_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906740_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906740_v1
log in [Subsurface Nitrospirota and Nitrospinota Origins] - Collection of subsurface bacteria Nitrospirota and Nitrospinota genome data including IMG and NCBI accessions for sequence datasets in June 2021 (Slow Life in Crust project) (Microbial activity in the crustal deep biosphere) The phyla Nitrospirota and Nitrospinota have received significant research attention due to their unique mitrogen metabolisms important to biogeochemical and industrial processes. These phyla are common inhabitants of marine and terrestrial subsurface environments and contain members capable of diverse physiologies in addition to nitrite oxidation and complete ammonia oxidation. We used phylogenomics and gene-based analysis with ancestral state reconstruction and gene-tree-species tree reconciliation methods to investigate the life histories of these two phyla. This dataset includes list of previously-published sequence datasets that were used for the analysis. The data and interpretations are published at DOI 10.1038/s41396-023-01397-x. Additional metadata such as NCBI accessions, assembly release dates, and NCBI taxon ids were added in December 2024.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nIMG_genome_id (unitless)\nGenBank_assembly (unitless)\nSample (unitless)\nCorrected_BioSample (unitless)\nBioProject (unitless)\nrelease_date (unitless)\nlast_updated_date (seconds since 1970-01-01T00:00:00Z)\npublication_date (seconds since 1970-01-01T00:00:00Z)\nDomain (unitless)\nPhylum (unitless)\nClass (unitless)\nOrder (unitless)\nFamily (unitless)\nGenus (unitless)\nSpecies (unitless)\nNCBI_organism_taxid (unitless)\nIsolation_Source (unitless)\nIsolationPlot (unitless)\n... (11 more variables)\n BCO-DMO bcodmo_dataset_933610_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934800_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934800_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934800_v1/ public [Three-Prime Tag-Sequencing (3' Tag-Seq) Data for Pisaster ochraceus] - Bioproject accession information on tag-sequence data for Pisaster ochraceus samples collected from Bodega Bay, CA, in July 2019 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) Outbreaks of sea star wasting (SSW) have killed millions of sea stars across over 20 taxa in the last decade alone, threatening the health and stability of coastal communities around the world. While the causative agent remains unknown, it has recently been postulated that hypoxia exposure may play a dominant role in the onset of SSW. We leveraged a study that subjected ochre sea stars to organic matter amendment in a controlled laboratory setting to induce hypoxia and used a repeated sampling design to collect non-invasive tissue samples from both healthy and wasting individuals. Following tag-based RNAseq (TagSeq), we analyzed differential gene expression (DGE) patterns among and within these individuals sampled strategically throughout the 15-day experiment. Transcriptional profiles reveal a progressive change in gene expression accompanying the advancement of SSW, reflecting a transition from asymptomatic stars to the onset of characteristic SSW lesions that progressively worsen until, in some cases, the star dies of their symptoms. Included in this dataset is the accession information for 89 individual TagSeq samples across 20 individual Pisaster ochraceus sea stars at multiple time points during the study to make them available for subsequent re-evaluation. The sequence data have been deposited into the NCBI archive under BioProject PRJNA1116313 and will be publicly available on 2025-08-01.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nbioproject_accession (unitless)\nbioproject_ncbi (unitless)\nassay_type (unitless)\norganism (unitless)\nisolate_id (unitless)\nisolation_source (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntissue (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\nhost_tissue_sampled (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934800_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934800_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934800_v1/index.htmlTable https://www.bco-dmo.org/dataset/934800 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934800_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934800_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934800_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934772_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934772_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934772_v1/ public [Whole genome sequence data for Pisaster ochraceus] - Whole genome sequence data for Pisaster ochranceus samples collected from the Pacific coast of North America from July 2004 to May 2018 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) This dataset includes collection and accession information for whole genome sequence (WGS) data from 65 Pisaster ochraceus (ochre sea star) collected across latitudes ranging from SE Alaska to southern California. The sequence data have been deposited into NCBI SRA archive under BioProject PRJNA1117092 and will be publicly available on 2025-08-01. These data are used to evaluate the population genomic diversity and divergence of spatially and environmentally separated populations of Pisaster ochraceus.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nbioproject_accession (unitless)\nbioproject_ncbi (unitless)\nassay_type (unitless)\norganism (unitless)\nisolation_source (unitless)\ncollection_date (unitless)\niso_collection_date (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntissue (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\nhost_tissue_sampled (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934772_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934772_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934772_v1/index.htmlTable https://www.bco-dmo.org/dataset/934772 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934772_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934772_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934772_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924786_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924786_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924786_v1/ public [Whole Genome Sequencing of Eelgrass Bodega and Tomales Bay] - Sample collection information and sequence accessions at the National Center for Biotechnology Information (NCBI) for whole genome sequencing of eelgrass (Zostera marina) collected at Bodega and Tomales Bay, CA, USA from July to September 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) This dataset includes sample collection information and sequence accessions at the National Center for Biotechnology Information (NCBI) for whole genome sequencing of eelgrass (Zostera marina) collected at Bodega and Tomales Bay, California, USA from July and September of 2019. Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA887384 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA887384/).\n\nResults summary as described in Scheibelhut, et al. (2023): We examine genomic signals of selection in the eelgrass Zostera marina across temperature gradients in adjacent embayments. Although we find many genomic regions with signals of selection within each bay there is very little overlap in signals of selection at the SNP level, despite most polymorphisms being shared across bays. We do find overlap at the gene level, potentially suggesting multiple mutational pathways to the same phenotype. Using polygenic models we find that some sets of candidate SNPs are able to predict temperature across both bays, suggesting that small but parallel shifts in allele frequencies may be missed by independent genome scans. Together, these results highlight the continuous rather than binary nature of parallel evolution in polygenic traits and the complexity of evolutionary predictability.\n\ncdm_data_type = Other\nVARIABLES:\naccession (unitless)\nsample_name (unitless)\nbioproject_accession (unitless)\nSite (unitless)\norganism (unitless)\ncollection_date (unitless)\nisolation_source (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_924786_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_924786_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924786_v1/index.htmlTable https://www.bco-dmo.org/dataset/924786 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924786_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924786_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924786_v1

 
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