Contributors | Affiliation | Role |
---|---|---|
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | Principal Investigator, Co-Principal Investigator |
Heyl, Taylor | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | Co-Principal Investigator |
Newman, Sawyer | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | Co-Principal Investigator |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | Scientist |
Gerlach, Dana Stuart | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
DNA extracts from the vicinity of Station ALOHA (22.75 N, 158.0 W) just north of Hawaii.
CMORE RNA and DNA Archive
Goal: The goal of this effort is to provide a time series collection of planktonic microbial DNA and RNA depth profiles from the HOT station, for CMORE research. DNA and RNA samples will be available for researchers to conduct and coordinate taxonomic and functional gene studies, for example using PCR and RT-PCR methods. Where possible, metagenomic datasets will be generated by pyrosequencing for selected profiles, and posted for downloading the blast searching on the MIT-CMORE server (http://genesis2.mit.edu/).
Activity: Collect microbial cell fraction (1.6um prefiltered, >0.22um) from HOT hydrocasts, and extract nucleic acids, for RNA and DNA for downstream analyses by CMORE investigators. Collection depths are 25m, 45m, 75m, 125m, 200m, 500m, 770m and 1000m. Extracted DNA samples will be available for distribution.
Sampling and analytical procedures:
The genomes of two different individuals were sequenced with different approaches:
1. An individual sampled at Jekyll Island, Georgia:
We built a reference genome for the Atlantic silverside through three steps. First, we created a draft assembly using 10x Genomics linked-reads technology (10x Genomics, Pleasanton, CA). Second, we used proximity-ligation data— ChicagoVR (Putnam et al. 2016) and Dovetail
Hi-C (Lieberman-Aiden et al. 2009)—from Dovetail Genomics (Santa Cruz, CA) to increase contiguity, break up mis-joins, and orient and join scaffolds into chromosomes. Finally, we used short-insert reads to close gaps in the scaffolded and error-corrected assembly. The data were generated from muscle tissue dissected from two lab-reared F1 offspring of Atlantic silversides collected from the wild on Jekyll Island, GA, USA (N31.02 ,W81.43 ; the southern end of the species distribution range) in May 2017. For 10x Genomics library preparation, we extracted DNA from fresh tissue from one individual using the MagAttract HMW DNA Kit (Qiagen). Prior to library preparation, we selected fragments longer than 30 kb using a BluePippin device (Sage Science). A 10x Genomics library was prepared following standard procedure and sequenced using two lanes of paired-end 150 bp reads on a HiSeq2500 (rapid run mode) at the Biotechnology Resource Center Genomics Facility at Cornell University. To assemble the linked reads, we ran the program Supernova 2.1.1 (Weisenfeld et al. 2017) from 10x Genomics with varying numbers of reads and compared assembly statistics to identify the number of reads that resulted in the most contiguous assembly. Tissue from the second individual was flash frozen in liquid nitrogen and shipped to Dovetail Genomics, where Chicago and Hi-C libraries were prepared for further scaffolding. These long-range libraries were sequenced on one lane of Illumina HiSeqX using paired-end 150 bp reads. Two rounds of scaffolding with HiRiseTM, a software pipeline developed specifically for genome scaffolding with Chicago and Hi-C data, were run to scaffold and error-correct the best 10x Genomics draft assembly using Dovetail long-range data. Finally, the barcode-trimmed 10x Genomics reads were used to close gaps between contigs as the final step of the HiRise pipeline.
2. An individual sampled in Mumford Cove, Connecticut
This assembly was a lower-quality draft assembly used to identify structural variants in comparison to the chromosome-level assembly from the individual sampled in Georgia
The individual sampled for this assembly was sampled from Mumford Cove, Connecticut (N 41.32 , W 72.02 ) in June 2016. Genomic DNA was extracted from muscle tissue using the DNeasy Blood and Tissue kit (Qiagen) and normalized to 40 ng/ul. We prepared a genomic DNA library using the TruSeq DNA PCR-free library kit (Illumina) following the manufacturer’s protocol for 550 bp insert libraries. The shotgun library was sequenced using paired-end 150 bp reads on an Illumina HiSeq4000. Mate- pair libraries with insert sizes of 3, 5.3, and 8.2 kb were pre- pared at the Huntsman Cancer Institute at the University of Utah using the Nextera Mate Pair Library Prep Kit (Illumina) and sequenced using paired-end 125 bp reads on an Illumina HiSeq2500. We used Trimmomatic 0.36 (Bolger et al. 2014) to remove adapter contamination and low-quality data from both the shotgun and the mate pair libraries and used these filtered reads to assemble a draft assembly and fill assembly gaps with Platanus v.1.2.4 (Kajitani et al. 2014) with the commands assemble, scaffold, and gap_close. Finally,we filtered scaffolds shorter than 1 kb.
Further details of the samples and methodology are available in the following publication:
Tigano, A., Jacobs, A., Wilder, A. P., Nand, A., Zhan, Ye, Dekker, J., and Therkildsen, N. O. 2021. Chromosome-level assembly of the Atlantic silverside genome reveals extreme levels of sequence diversity and structural genetic variation. Genome Biology and Evolution 13, evab163
Super and subscript display test
subscripts:
Our experiment assessed the CO2 sensitivity of embryos and early life stages of BSB at a single static temperature (22°C) and three pCO2 conditions (~400, ~2200, ~4200 µatm). On May 23rd, 2022, we strip-spawned wild, running-ripe BSB ((Nfemale/male = 4/3) to produce viable embryos. Upon water-hardening a 5 ml sample of eggs was randomly allocated to a replicate 19-l rearing container held within one of nine recirculating systems within the Baumann labs automated larval rearing system (ALFiRiS).
superscripts:
At the late-exponential phase, cultures were transferred in triplicate to one of two SN media: (1) +Pi (45 µmol L-1 KH2PO4, following
All files except those listed with “genome assembly” in the date type column are raw sequence data files that have not undergone any processing.
The two genome assemblies were processed as described under “Sampling and analytical procedures” described above.
File |
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Filelist with species names filename: filename_list_with_species_ids.csv (Comma Separated Values (.csv), 111.83 KB) MD5:334e664ff92878c63dca431edf70be56 Filelist with the associated species names and identifiers. Identifiers are the aphiaID from the World Register of Marine Species (WoRMS). |
Parameter | Description | Units |
Name | Name of the sediment core from which the top 1 cm was sectioned | unitless |
Cruise_ID | Cruise ID | unitless |
Site_ID | Site ID | unitless |
Coring_Attempt | Coring attempt number | unitless |
Core_Letter | Core letter | unitless |
Collection_Date | Date the multicore was collected | unitless |
Lat | Latitude of sampling site, south is negative | decimal degrees |
Lon | Longitude of sampling site, west is negative | decimal degrees |
Depth | Water depth of sample site | meters (m) |
MAR | extraterrestrial 3He mass accumulation rate | grams per square centimeters per thousand years (g cm-2 kyr-1) |
TOC | Total organic carbon concentration | milligrams per gram dry weight (mg/g) |
TOC_d13C | Total organic carbon delta 13C value (TOC δ13C) | per mill (‰) |
TOC_D14C | ∆14C value of total organic carbon (TOC ∆14C) | per mill (‰) |
BC | Black carbon concentration | milligrams per gram dry weight (mg/g) |
BC_sd | Black carbon concentration standard deviation | milligrams per gram dry weight (mg/g) |
BC_d13C | Black carbon delta 13C value (BC δ13C) | per mill (‰) |
BC_D14C | ∆14C value of the black carbon | per mill (‰) |
BC_flux | Flux of black carbon to sediments | milligrams per square centimeters per thousand years (mg cm-2 kyr-1) |
BC_flux_sd | The standard deviation of the flux of black carbon to sediments | milligrams per square centimeters per thousand years (mg cm-2 kyr-1) |
Website | |
Platform | Multiple Vessels |
Report | |
Start Date | 1988-10-31 |
Description | Since October 1988, the Hawaii Ocean Time-series (HOT) program has investigated temporal dynamics in biology, physics, and chemistry at Stn. ALOHA (22°45' N, 158°W), a deep ocean field site in the oligotrophic North Pacific Subtropical Gyre (NPSG).
HOT conducts near monthly ship-based sampling and makes continuous observations from moored instruments to document and study NPSG climate and ecosystem variability over semi-diurnal to decadal time scales. |
NSF Award Abstract:
Scientific research is intrinsically reliant upon the creation, management, analysis, synthesis, and interpretation of data. Once generated, data are essential to demonstrating the veracity and reproducibility of scientific results, and existing data hold great potential to accelerate scientific discovery through reuse. The Biological and Chemical Oceanography and Data Management Office (BCO-DMO) was created in 2006 to assemble, curate, and publicly serve all data and related products resulting from grants funded by the NSF core programs for Biological and Chemical Oceanography, and Office of Polar Programs. BCO-DMO provides limnological and marine chemical, biological, and physical data inventories from several large and intermediate-sized programs, as well as single-investigator projects to support cross-disciplinary collaboration to address pressing environmental questions, problems, and challenges that are exacerbated with the increasing pace of climate change. BCO-DMO is committed to data management capacity building efforts, improving data literacy and increasing science engagement in data management topics through education, training, and outreach. The project collaborates with academic institutions and teachers, where the BCO-DMO database is leveraged for oceanographic curricula, and engages in targeted training of informatics students, cross-pollinating their knowledge with geoscience domain data management.
BCO-DMO's goal is to facilitate the integration of its diverse datasets to enable researchers to achieve a deeper understanding of ocean ecological and biogeochemical systems. As a domain repository, BCO-DMO adds value and improves interoperability of data to support activities such as synthesis and modeling, and the reuse of oceanographic data for new research. Open access to the BCO-DMO database lowers barriers to allow economically challenged countries to gain access to research quality data for field decision support, policy-relevant issues, and educational purposes. The project takes an active role in the exchange of knowledge at national and international geoscience and informatics meetings and workshops, where standards development and adoption occur. BCO-DMO also participates in the development and use of open-source, standards-based technologies that enable interoperable data systems to exchange data and information that will foster next-generation research in all disciplines. While continuing to perform its core mission of data management, BCO-DMO will reconstitute its data infrastructure to mobilize a new adaptive data management strategy for addressing the evolutionary change coinciding with the big data revolution. Leveraging data semantics BCO-DMO will construct a knowledge graph for sustainably operating an adaptive data repository. This infrastructure will support dataset-level and repository-level metrics, an improved data submission experience and new data and metadata access capabilities. Through declarative workflows, the processing of contributed data will increase in efficiency, and result in actionable provenance records for complete transparency of data curation practices. Taking a holistic perspective on education, outreach and community engagement, formalized programs will be developed to promote data reuse and interest in oceanographic science.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |