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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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set | data | graph | files | public | [Illumina Sequences] - Illumina sequencing data from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications) | F I M | background | BCO-DMO | bcodmo_dataset_747948 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | This study included cold seep and hydrothermal vent sediments from along the Pacific coast of North America. Sediments were collected via 30 cm long polycarbonate pushcores from a cold methane seep at Hydrate Ridge (44\u00b034'10. 20\"N, 125\u00b0 8'48. 48\"W) at 777 m water depth with the ROV Ropos (Dive 1458); hydrothermal vents at Guaymas Basin, Gulf of California (27\u00b00'27.84\"N, 111\u00b024'27.84\"W) at 2000 m with the DSV Alvin (Dive 4486); and hydrothermal vents at Middle Valley, Juna de Fuca Ridge (48\u00b027'26.40\"N, 128\u00b042'30.60\"W) at 2413 m with the DSV Alvin (Dive 4625). For this study, a total of three pushcores were collected from Hydrate Ridge at 4\u00b0C, one from Guaymas Basin at 30-35\u00b0C, and one from Middle Valley at 5\u201357\u00b0C (Table 4.1). Total genomic DNA was extracted using a phenol-chloroform protocol modified to prevent nucleic acid loss and eliminate potential inhibitors of downstream PCR, and which has been very successful in studies of low biomass sediments (Adams et al. 2013). PCR amplification was performed with primers designed to be universal to both archaea and bacteria (515F/806R) (Caporaso et al., 2012), containing attached Illumina adaptors and barcodes (Kozich et al., 2013). All DNA extracts were amplified in duplicate with OmniTaq (Taq mutant) polymerase according to the manufacturer\u2019s instructions (DNA Polymerase Technologies, St. Louis, MO, USA), with a final concentration of 0.2 \u03bcM for each primer. For each PCR, 1 \u03bcL template DNA was added to the final reaction mixture for a final volume of 50 \u03bcl. Amplification conditions were as follows: 94\u00b0C for 3 min to denature DNA; 30 cycles at 94\u00b0C for 45 s, 50\u00b0C for 60 s, and 72\u00b0C for 60 s; and a final extension of 10 min at 72 \u00b0C. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 626092 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1459252 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward?AWD_ID=1459252 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Illumina Sequencing From Deep Sea Sediments PI: Peter Girguis (Harvard) Contributor: Melissa Adams Version date: 12 October 2018 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | date_created | String | 2018-10-12T18:57:48Z |
attribute | NC_GLOBAL | date_modified | String | 2019-03-15T18:04:04Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.747948.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -111.4078 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 48.45722 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 27.0078 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -111.4078 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -128.70861 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/747948 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Thermal Cycler |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 747953 |
attribute | NC_GLOBAL | instruments_0_description | String | General term for a laboratory apparatus commonly used for performing polymerase chain reaction (PCR). The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html) |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | PCR Thermal Cycler |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 471582 |
attribute | NC_GLOBAL | keywords | String | accession, analysis, Analysis_methods, bco, bco-dmo, biological, chemical, collected, data, dataset, description, description_of_the_types_of_sequences, dive, Dive_number, dmo, erddap, instrument, instrument_and_model, latitude, latitude_dms, link, locations, locations_where_species_were_collected, longitude, longitude_dms, management, methods, model, names, number, oceanography, office, preliminary, sequence, sequence_accession_number, sequences, sequencing, sequencing_and_analysis_methods, species, Species_Names, types, vessel, where |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/747948/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/747948 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 48.45722 |
attribute | NC_GLOBAL | param_mapping | String | {'747948': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/747948/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Harvard University |
attribute | NC_GLOBAL | people_0_person_name | String | Peter Girguis |
attribute | NC_GLOBAL | people_0_person_nid | String | 544586 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | Harvard University |
attribute | NC_GLOBAL | people_1_person_name | String | Melissa Adams |
attribute | NC_GLOBAL | people_1_person_nid | String | 747964 |
attribute | NC_GLOBAL | people_1_role | String | Contact |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | people_2_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_2_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_2_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_2_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | project | String | SedimentaryIronCycle |
attribute | NC_GLOBAL | projects_0_acronym | String | SedimentaryIronCycle |
attribute | NC_GLOBAL | projects_0_description | String | Iron is a critical element for life that serves as an essential trace element for eukaryotic organisms. It is also able to support the growth of a cohort of microbes that can either gain energy for growth via oxidation of ferrous (Fe(II)) to ferric (Fe(III)) iron, or by utilizing Fe(III) for anaerobic respiration coupled to oxidation of simple organic matter or H2. This coupled process is referred to as the microbial iron cycle. One of the primary sources of iron to the ocean comes from dissolved iron (dFe) that is produced through oxidation and reduction processes in the sediment where iron is abundant. The dFe is transported into the overlaying water where it is an essential nutrient for phytoplankton responsible for primary production in the world’s oceans. In fact, iron limitation significantly impacts production in as much as a third of the world’s open oceans. The basic geochemistry of this process is understood; however important gaps exist in our knowledge about the details of how the iron cycle works, and how critical a role bacteria play in it. Intellectual Merit. Conventional wisdom holds that most of the iron oxidation in sediments is abiological, as a result of the rapid kinetics of chemical iron oxidation in the presence of oxygen. This proposal aims to question this conventional view and enhance our understanding of the microbes involved in the sedimentary iron cycle, with an emphasis on the bacteria that catalyze the oxidation of iron. These Fe-oxidizing bacteria (FeOB) utilize iron as a sole energy source for growth, and are autotrophic. They were only discovered in the ocean about forty-five years ago, and are now known to be abundant at hydrothermal vents that emanate ferrous-rich fluids. More recently, the first evidence was published that they could inhabit coastal sediments, albeit at reduced numbers, and even be abundant in some continental shelf sediments. These habitats are far removed from hydrothermal vents, and reveal the sediments may be an important habitat for FeOB that live on ferrous iron generated in the sediment. This begs the question: are FeOB playing an important role in the oxidative part of the sedimentary Fe-cycle? One important attribute of FeOB is their ability to grow at very low levels of O2, an essential strategy for them to outcompete chemical iron oxidation. How low a level of O2 can sustain them, and how this might affect their distribution in sediments is unknown. In part, this is due to the technical challenges of measuring O2 concentrations and dynamics at very low levels; yet these concentrations could be where FeOB flourish. The central hypothesis of this proposal is that FeOB are more common in marine sedimentary environments than previously recognized, and play a substantive role in governing the iron flux from the sediments into the water column by constraining the release of dFe from sediments. A set of experimental objectives are proposed to test this. A survey of near shore regions in the Gulf of Maine, and a transect along the Monterey Canyon off the coast of California will obtain cores of sedimentary muds and look at the vertical distribution of FeOB and putative Fe-reducing bacteria using sensitive techniques to detect their presence and relative abundance. Some of these same sediments will be used in a novel reactor system that will allow for precise control of O2 levels and iron concentration to measure the dynamics of the iron cycle under different oxygen regimens. Finally pure cultures of FeOB with different O2 affinities will be tested in a bioreactor coupled to a highly sensitive mass spectrometer to determine the lower limits of O2 utilization for different FeOB growing on iron, thus providing mechanistic insight into their activity and distribution in low oxygen environments. Broader Impacts. An important impact of climate change on marine environments is a predicted increase in low O2 or hypoxic zones in the ocean. Hypoxia in association with marine sediments will have a profound influence on the sedimentary iron cycle, and is likely to lead to greater inputs of dFe into the ocean. In the longer term, this increase in dFe flux could alleviate iron-limitation in some regions of the ocean, thereby enhancing the rate of CO2-fixation and draw down of CO2 from the atmosphere. This is one important reason for developing a better understanding of microbial control of sedimentary iron cycle. This project will also provide training to a postdoctoral scientist, graduate students and undergraduates. This project will contribute to a student initiated exhibit, entitled ‘Iron and the evolution of life on Earth’ at the Harvard Museum of Natural History providing a unique opportunity for undergraduate training and outreach. |
attribute | NC_GLOBAL | projects_0_geolocation | String | Intertidal coastal river and coastal shelf sediments, mid-coast, Maine, USA; Monteray Bay Canyon, sediments, CA, USA |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications |
attribute | NC_GLOBAL | projects_0_project_nid | String | 544584 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | Southernmost_Northing | double | 27.0078 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | Species_Names,description_of_the_types_of_sequences,sequencing_and_analysis_methods,instrument_and_model,Analysis_methods |
attribute | NC_GLOBAL | summary | String | Illumina sequencing data (NCBI accession numbers) from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin. |
attribute | NC_GLOBAL | title | String | [Illumina Sequences] - Illumina sequencing data from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -128.70861 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | sequence_accession_number | String | ||
attribute | sequence_accession_number | bcodmo_name | String | accession number |
attribute | sequence_accession_number | description | String | NCBI accession number |
attribute | sequence_accession_number | long_name | String | Sequence Accession Number |
attribute | sequence_accession_number | units | String | unitless |
variable | link | String | ||
attribute | link | bcodmo_name | String | external_link |
attribute | link | description | String | URL to NCBI accession |
attribute | link | long_name | String | Link |
attribute | link | units | String | unitless |
variable | Species_Names | String | ||
attribute | Species_Names | bcodmo_name | String | taxon |
attribute | Species_Names | description | String | Description/name of species |
attribute | Species_Names | long_name | String | Species Names |
attribute | Species_Names | units | String | unitless |
variable | description_of_the_types_of_sequences | String | ||
attribute | description_of_the_types_of_sequences | bcodmo_name | String | sample_descrip |
attribute | description_of_the_types_of_sequences | description | String | Description of the type of sequence |
attribute | description_of_the_types_of_sequences | long_name | String | Description Of The Types Of Sequences |
attribute | description_of_the_types_of_sequences | units | String | unitless |
variable | locations_where_species_were_collected | String | ||
attribute | locations_where_species_were_collected | bcodmo_name | String | site |
attribute | locations_where_species_were_collected | description | String | Location of sample collection |
attribute | locations_where_species_were_collected | long_name | String | Locations Where Species Were Collected |
attribute | locations_where_species_were_collected | units | String | unitless |
variable | latitude_dms | String | ||
attribute | latitude_dms | bcodmo_name | String | latitude |
attribute | latitude_dms | description | String | Latitude of sample collection in degrees, minutes, and seconds |
attribute | latitude_dms | long_name | String | Latitude |
attribute | latitude_dms | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude_dms | standard_name | String | latitude |
attribute | latitude_dms | units | String | unitless |
variable | longitude_dms | String | ||
attribute | longitude_dms | bcodmo_name | String | longitude |
attribute | longitude_dms | description | String | Longitude of sample collection in degrees, minutes, and seconds |
attribute | longitude_dms | long_name | String | Longitude |
attribute | longitude_dms | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude_dms | standard_name | String | longitude |
attribute | longitude_dms | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 27.0078, 48.45722 |
attribute | latitude | axis | String | Y |
attribute | latitude | bcodmo_name | String | latitude |
attribute | latitude | colorBarMaximum | double | 90.0 |
attribute | latitude | colorBarMinimum | double | -90.0 |
attribute | latitude | description | String | Latitude of sample collection in decimal degrees; North = positive values |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -128.70861, -111.4078 |
attribute | longitude | axis | String | X |
attribute | longitude | bcodmo_name | String | longitude |
attribute | longitude | colorBarMaximum | double | 180.0 |
attribute | longitude | colorBarMinimum | double | -180.0 |
attribute | longitude | description | String | Longitude of sample collection in degrees, minutes, and seconds; East = positive values |
attribute | longitude | ioos_category | String | Location |
attribute | longitude | long_name | String | Longitude |
attribute | longitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | Vessel | String | ||
attribute | Vessel | bcodmo_name | String | instrument |
attribute | Vessel | description | String | Name of collection vehicle |
attribute | Vessel | long_name | String | Vessel |
attribute | Vessel | units | String | unitless |
variable | Dive_number | short | ||
attribute | Dive_number | _FillValue | short | 32767 |
attribute | Dive_number | actual_range | short | 1458, 4625 |
attribute | Dive_number | bcodmo_name | String | dive_id |
attribute | Dive_number | colorBarMaximum | double | 100.0 |
attribute | Dive_number | colorBarMinimum | double | 0.0 |
attribute | Dive_number | description | String | Dive ID number |
attribute | Dive_number | long_name | String | Dive Number |
attribute | Dive_number | units | String | unitless |
variable | sequencing_and_analysis_methods | String | ||
attribute | sequencing_and_analysis_methods | bcodmo_name | String | sampling_method |
attribute | sequencing_and_analysis_methods | description | String | Description of sequencing and analysis methods |
attribute | sequencing_and_analysis_methods | long_name | String | Sequencing And Analysis Methods |
attribute | sequencing_and_analysis_methods | units | String | unitless |
variable | instrument_and_model | String | ||
attribute | instrument_and_model | bcodmo_name | String | instrument |
attribute | instrument_and_model | description | String | Name of sequencing instruments |
attribute | instrument_and_model | long_name | String | Instrument And Model |
attribute | instrument_and_model | units | String | unitless |
variable | Analysis_methods | String | ||
attribute | Analysis_methods | bcodmo_name | String | sampling_method |
attribute | Analysis_methods | description | String | Description of analysis methods |
attribute | Analysis_methods | long_name | String | Analysis Methods |
attribute | Analysis_methods | units | String | unitless |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.