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log in [Kelletia kelletii: DNA and RNA sequence] - Full genome and transcriptome sequence assembly of the non-model organism Kellet’s whelk, Kelletia kelletii (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) Understanding the genomic characteristics of non-model organisms can bridge research gaps between ecology and evolution. However, the lack of a reference genome and transcriptome for these species makes their study challenging. Here, we complete the first full genome and transcriptome sequence assembly of the non-model organism Kellet's whelk, Kelletia kelletii, a marine gastropod exhibiting a poleward range expansion coincident with climate change. We used a combination of Oxford Nanopore Technologies, PacBio, and Illumina sequencing platforms and integrated a set of bioinformatic pipelines to create the most complete and contiguous genome documented among the Buccinoidea superfamily to date. Genome validation revealed relatively high completeness with low missing metazoan Benchmarking Universal Single-Copy Orthologs (BUSCO) and an average coverage of ∼70x for all contigs. Genome annotation identified a large number of protein-coding genes similar to some other closely related species, suggesting the presence of a complex genome structure. Transcriptome assembly and analysis of individuals during their period of peak embryonic development revealed highly expressed genes associated with specific Gene Ontology (GO) terms and metabolic pathways, most notably lipid, carbohydrate, glycan, and phospholipid metabolism. We also identified numerous heat shock proteins (HSPs) in the transcriptome and genome that may be related to coping with thermal stress during the sessile life history stage. A robust reference genome and transcriptome for the non-model organism K. kelletii provide resources to enhance our understanding of its ecology and evolution and potential mechanisms of range expansion for marine species facing environmental changes.\n\ncdm_data_type = Other\nVARIABLES:\nRun (unitless)\nAssay_Type (unitless)\nAvgSpotLen (unitless)\nBases (unitless)\nBioProject (unitless)\nBioSample (unitless)\nBioSampleModel (unitless)\nBytes (unitless)\nCenter_Name (unitless)\n... (29 more variables)\n BCO-DMO bcodmo_dataset_945292_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745518.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745518 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_745518/ public [Microbial eukaryotic focused metatranscriptome data] - Microbial eukaryotic focused metatranscriptome data from seawater collected in coastal California in May of 2015 (Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series) Seawater was collected via Niskin bottles mounted with a CTD from the San Pedro Ocean Time-series (SPOT) station off the coast of Southern California near the surface (5 m), 150 and 890 m, in late May 2015. Raw sequence data was generated as part of a metatranscriptome study targeting the protistan community.  Raw sequences are available at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database (SRA Study ID: SRP110974, BioProject: PRJNA391503).  Sequences for BioProject PRJNA608423 will be available at NCBI on Jan 1st, 2021.\\r\\n\\r\\nThese data were published in Hu et al. (2018).\n\ncdm_data_type = Other\nVARIABLES:\nSRA_run (unitless)\nSRA_run_link (unitless)\nSRA_study (unitless)\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nsample_name (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\nfilename (unitless)\nfilename2 (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_745518/index.htmlTable https://www.bco-dmo.org/dataset/745518 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_745518.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_745518&showErrors=false&email= BCO-DMO bcodmo_dataset_745518
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_789136 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_789136/ public [Ocean Crust Microbiome Amplicon Metadata] - Synthesis of publicly-available sequence datasets of the 16S rRNA gene in environmental DNA extracted from seafloor and subseafloor samples from the Dorado outcrop, Lō'ihi Seamount, North Pond, and Juan de Fuca Ridge flank (Microbial activity in the crustal deep biosphere) To summarize crustal bacterial and archaeal taxa for this review, we synthesized publicly-available sequence datasets of the 16S rRNA gene in environmental DNA extracted from seafloor and subseafloor basalts generated using 454, Illumina and Ion Torrent amplicon platforms. These include seafloor basalts from the Dorado Outcrop and the L\\u014d'ihi Seamount in the Pacific Ocean and subseafloor basalts from North Pond on the western flank of the Mid-Atlantic Ridge and the Juan de Fuca Ridge flank in the northeastern Pacific Ocean. Datasets from rock colonization experiments conducted in the subseafloor at the Juan de Fuca Ridge flank site were also included, as well as microbial community surveys of the subseafloor crustal fluids from the anoxic Juan de Fuca site and the oxic North Pond site.\n\ncdm_data_type = Other\nVARIABLES:\nPlot_Order (unitless)\nSample_Name (unitless)\nSRA_Run (unitless)\nSRA_LibraryName (SRA Library Name, unitless)\nStudy_Nickname (unitless)\nSample_Type (unitless)\nTemp (Temperature, unitless)\nLocation (unitless)\ndepth2 (Depth, unitless)\nSequencer_Type (unitless)\nregion16S (Region16 S, unitless)\nPrimers (unitless)\nDNAextraction (unitless)\nDOI (unitless)\nSRA_Study (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_789136/index.htmlTable https://www.bco-dmo.org/dataset/789136 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_789136.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_789136&showErrors=false&email= BCO-DMO bcodmo_dataset_789136
log in [RECHARGE 2018 - 2020 Microbiome Data] - Sequence read accession (SRA) numbers and collection metadata for coral microbiome collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) This dataset contains the complete sample information for the 16S rRNA gene V4 region amplicon sequencing data associated with the NCBI SRA accession from BioProject PRJNA994532. All raw sequencing data can be found at this publicly available NCBI SRA BioProject. \n\nThe associated samples were collected from an in situ coral manipulative experiment in Moorea, French Polynesia between 2018-2020 from Acropora retusa, Porites lobata, and Pocillopora spp. Data collection was a multi-university collaborative effort between the Vega Thurber Laboratory,  at Oregon State University during the time of the experiment, and the Burkepile Community Ecology Laboratory at UC Santa Barbara. The experiment, conducted on the fore reef on the north shore of the island, evaluated the interaction of consumer pressure level (termed \"Herbivory\" in the dataset and in Vompe et al., 2023) and nutrient enrichment on coral microbiome composition and host success. The experiment also captured two severe and sequential marine heatwaves in 2019 and 2020. This experiment aimed to  evaluate whether managing local inputs, including water column nutrient levels and fishing regimes, interacts with heat stress to affect coral success. Coral microbiomes were sampled as these microbial communities are known to interact with host health during heat stress. The data herein correspond to the microbiomes of the sampled corals.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nDate_MonthYear (unitless)\nCoral_Code (unitless)\nHerbivory (unitless)\nNutrients (unitless)\nPlot (unitless)\nTag (unitless)\nBatch (unitless)\nRun (unitless)\nAssayType (unitless)\nAvgSpotLen (unitless)\nBases (unitless)\n... (32 more variables)\n BCO-DMO bcodmo_dataset_954262_v1

 
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