Samples collected from the Monterey Bay Times Series from May 2014 to February 2016. These data include CTD, nutrient, chlorophyll a and phaeopigment concentration data.

Website: https://www.bco-dmo.org/dataset/774848
Data Type: Cruise Results
Version: 1
Version Date: 2019-08-07

Project
» Differential contributions of archaeal ammonia oxidizer ecotypes in relation to their changing environment (Contributions of AOA Ecotypes)
ContributorsAffiliationRole
Francis, ChristopherStanford UniversityPrincipal Investigator
Chavez, FranciscoMonterey Bay Aquarium Research Institute (MBARI)Co-Principal Investigator
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Samples collected from the Monterey Bay Times Series from May 2014 to February 2016. These data include CTD, nutrient, chlorophyll a and phaeopigment concentration data.


Coverage

Spatial Extent: N:36.7663 E:-122.0058 S:36.6893 W:-122.3988
Temporal Extent: 2014-05-05 - 2016-02-03

Dataset Description

Samples collected from the Monterey Bay Time Series from May 2014 to February 2016. These data include CTD, nutrient, chlorophyll a and paeopigment concentration data. 

These data were published in Tolar et al., submitted (Table S1)


Methods & Sampling

The water column in Monterey Bay (coastal California, USA) was sampled near-monthly from May 2014-February 2016 at stations M1 (36.747 ºN, 122.022 ºW) and M2 (36.697 ºN, 122.378 ºW), on board the RV Western Flyer or RV Rachel Carson using a CTD Rosette sampler (Sea-Bird Scientific, Bellevue, WA). For each hydrocast, the CTD collected data on conductivity, temperature, depth, dissolved oxygen (DO), total CO2, and transmissivity (turbidity). Additional samples were collected from 11-12 depths from the cast (0, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200 m; 500 m included for 2015-2016) to measure nutrients (ammonia, nitrite, nitrate, silicate, phosphate), chlorophyll a and phaeopigment concentrations. These were processed using established methods as part of the Monterey Bay Time Series (http://www3.mbari.org/bog/Projects/CentralCal/summary/ts_methods_and_materials.htm; Pennington and Chavez 2000). Light penetration depth (LPD; 0.1-50 % of surface light) was estimated by secchi disk.

Approximately 1 L sample seawater was filtered using a peristaltic pump onto duplicate filters – 10 µm polycarbonate (PCTE, Sterlitech; pre-filter), 0.2 µm GVWP (Millipore; final filter) – for molecular analysis from 6-10 depths per site per month (0-500 m depth). Samples were immediately frozen on liquid N2 and stored at -80°C upon return to laboratory until processing.

DNA was co-extracted with RNA using previously described methods (Smith et al. 2014a), with slight modification – both 0.1 and 0.5 mm sterile glass beads (BioSpec) were used for bead beating on the FastPrep (Thermo) and fresh -mercaptoethanol was added to Lysis/Binding buffer (10 µL per mL) immediately before extraction. Concentration of DNA was measured using a Qubit fluorometer (Invitrogen). Gene abundance was determined using published methods for total archaeal amoA (Francis et al. 2005), water column group A (WCA) and water column group B (WCB) amoA (Beman et al. 2008); modified to TaqMan assay, (Mosier and Francis 2011), and two archaeal nirK groups (AnirKa and AnirKb; Lund et al. 2012). 

Water samples were collected from 6-10 depths for nitrification rate measurements using 15NH4Cl as a tracer. Sample seawater was spiked with 15NH4Cl, and placed in ship-board seawater flow-through incubators for 24 h. Incubations were carried out in the dark or at estimated in situ light using stainless steel tubes with pre-drilled evenly spaced and sized holes (Pennington and Chavez 2000; Smith et al. 2014). At the end of incubations, samples were filtered (0.2 µm) and frozen at -20 ºC. δ15N values were measured from NOx in each sample, converted to N2O via the bacterial denitrification assay (Sigman et al. 2001) using a ThermoFinnigan Gas Bench and PreCon trace gas concentration system interfaced with the Delta VPLUS isotope-ratio mass spectrometer (Bremen, Germany) at the UC Davis Stable Isotope Facility.


Data Processing Description

BCO-DMO processing notes:

  • Units (%) removed from column Light_Penetration_Depth
  • Adjusted column header names

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Data Files

File
cruise.csv
(Comma Separated Values (.csv), 63.09 KB)
MD5:c833fa61333eeeef61f657a55e05ba47
Primary data file for dataset ID 774848

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Related Publications

Beman, J. M., Popp, B. N., & Francis, C. A. (2008). Molecular and biogeochemical evidence for ammonia oxidation by marine Crenarchaeota in the Gulf of California. The ISME Journal, 2(4), 429–441. doi:10.1038/ismej.2007.118
Methods
Francis, C. A., Roberts, K. J., Beman, J. M., Santoro, A. E., & Oakley, B. B. (2005). Ubiquity and diversity of ammonia-oxidizing archaea in water columns and sediments of the ocean. Proceedings of the National Academy of Sciences, 102(41), 14683–14688. doi:10.1073/pnas.0506625102
Methods
Lund, M. B., Smith, J. M., & Francis, C. A. (2012). Diversity, abundance and expression of nitrite reductase (nirK)-like genes in marine thaumarchaea. The ISME Journal, 6(10), 1966–1977. doi:10.1038/ismej.2012.40
Methods
Mosier, A. C., & Francis, C. A. (2011). Determining the Distribution of Marine and Coastal Ammonia-Oxidizing Archaea and Bacteria Using a Quantitative Approach. Methods in Enzymology, 205–221. doi:10.1016/b978-0-12-381294-0.00009-2 https://doi.org/10.1016/B978-0-12-381294-0.00009-2
Methods
Sigman, D. M., Casciotti, K. L., Andreani, M., Barford, C., Galanter, M., & Böhlke, J. K. (2001). A Bacterial Method for the Nitrogen Isotopic Analysis of Nitrate in Seawater and Freshwater. Analytical Chemistry, 73(17), 4145–4153. doi:10.1021/ac010088e
Methods
Smith, J. M., Casciotti, K. L., Chavez, F. P., & Francis, C. A. (2014). Differential contributions of archaeal ammonia oxidizer ecotypes to nitrification in coastal surface waters. The ISME Journal, 8(8), 1704–1714. doi:10.1038/ismej.2014.11
Methods
Timothy Pennington, J., & Chavez, F. P. (2000). Seasonal fluctuations of temperature, salinity, nitrate, chlorophyll and primary production at station H3/M1 over 1989–1996 in Monterey Bay, California. Deep Sea Research Part II: Topical Studies in Oceanography, 47(5-6), 947–973. doi:10.1016/s0967-0645(99)00132-0 https://doi.org/10.1016/S0967-0645(99)00132-0
Methods
Tolar, B. B., Reji, L., Smith, J. M., Blum, M., Pennington, J. T., Chavez, F. P., & Francis, C. A. (2020). Time series assessment of Thaumarchaeota ecotypes in Monterey Bay reveals the importance of water column position in predicting distribution–environment relationships. Limnology and Oceanography, 65(9), 2041–2055. Portico. https://doi.org/10.1002/lno.11436
Results

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Parameters

ParameterDescriptionUnits
CruiseCruise identifier unitless
DateDate (Pacific Standard Time, PST) of sampling: YYYY-MM-DD unitless
StationStation name (M1 or M2) unitless
Month_DayMonth and day of sampling - MMM_DD unitless
YearYear of sampling - YYYY unitless
LatitudeLatitude - south is negative decimal degrees
LongitudeLongitude - west is negative decimal degrees
DepthWater depth sampled (BCTD) meter (m)
TemperatureWater temperature (BCTD) degrees Celcius (°C)
SalinityWater salinity (BCTD) psu
DensityWater density (T) - calculated unitless
PressureWater pressure (BCTD) decibar (dbar)
Light_Penetration_DepthLPD estimated percentage (%)
Nit_rate_insituNitrification Rate - in situ light incubation nanomoles per day (nM/d)
Nit_rate_darkNitrification Rate - dark incubation nanomoles per day (nM/d)
Chlorophyllchlorophyll concentration milligram per cubic meter (mg/m3)
Phaeopigmentsphaeopigment concentration milligram per cubic meter (mg/m3)
Chlorophyll_adepth-integrated chlorophyll milligram per square meter (mg/m2)
Fluorescencechlorophyll fluorescence (BCTD) volts
PO4phosphate concentration micromole (uM)
SiO4silicate concentration micromole (uM)
NO3nitrate concentration micromole (uM)
NO2nitrite concentration micromole (uM)
NH4ammonia concentration micromole (uM)
Total_CO2total carbon dioxide millimoles per liter (mmol/L)
Oxygendissolved oxygen millimoles per liter (mmol/L)
Transmissivityoptical clarity (BCTD) percentage (%)
amoA_qPCRarchaeal amoA gene abundance copies per liter (copies/L)
WCA_qPCRWater column A amoA gene abundance copies per liter (copies/L)
WCB_qPCRWater column B amoA gene abundance (bdl=below detection limit) copies per liter (copies/L)
nirKa_qPCRarchaeal nirK group A gene abundance copies per liter (copies/L)
nirKb_qPCRarchaeal nirK group B gene abundance copies per liter (copies/L)


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Instruments

Dataset-specific Instrument Name
CTD Rosette sampler (Sea-Bird Scientific, Bellevue, WA)
Generic Instrument Name
CTD Sea-Bird
Generic Instrument Description
Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.


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Deployments

12514

Website
Platform
R/V Rachel Carson
Start Date
2014-05-05

17014

Website
Platform
R/V Rachel Carson
Start Date
2015-06-19

19114

Website
Platform
R/V Rachel Carson
Start Date
2014-07-10

22414

Website
Platform
R/V Fulmar
Start Date
2014-08-14

28014

Website
Platform
R/V Rachel Carson
Start Date
2014-10-07

30214

Website
Platform
R/V Rachel Carson
Start Date
2014-10-29

32414

Website
Platform
R/V Rachel Carson
Start Date
2014-11-20

15515

Website
Platform
R/V Rachel Carson
Start Date
2015-06-04

13115

Website
Platform
R/V Rachel Carson
Start Date
2015-05-11

12015

Website
Platform
R/V Rachel Carson
Start Date
2015-04-30

18815

Website
Platform
R/V Rachel Carson
Start Date
2015-07-07

21515

Website
Platform
R/V Rachel Carson
Start Date
2015-08-03

23715

Website
Platform
R/V Rachel Carson
Start Date
2015-08-25

26515

Website
Platform
R/V Western Flyer
Start Date
2015-09-22

29915

Website
Platform
R/V Rachel Carson
Start Date
2015-10-26

32315

Website
Platform
R/V Rachel Carson
Start Date
2015-11-19

34915

Website
Platform
R/V Rachel Carson
Start Date
2015-12-15

03416

Website
Platform
R/V Rachel Carson
Start Date
2016-02-03


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Project Information

Differential contributions of archaeal ammonia oxidizer ecotypes in relation to their changing environment (Contributions of AOA Ecotypes)

Coverage: Monterey Bay


Description from NSF award abstract:
Because the first and rate-limiting step of nitrification, ammonia oxidation, was long believed to be restricted to a few groups within the domain Bacteria, the discovery of ammonia-oxidizing archaea (AOA) - members of one of the most abundant microbial groups on the planet (now known as the Thaumarchaeota) - has seriously challenged our understanding of the microbial ecology and biogeochemistry of the nitrogen cycle. AOA are now believed to be responsible for the majority of nitrification in the sea, and occur in the marine water column as two taxonomically distinct groups, namely the Water Column Group A (WCA) and B (WCB) ecotypes. An open question in marine biogeochemistry is whether the taxonomic definition of WCA and WCB and their observed distributions correspond to distinct ecological and biogeochemical niches. To fill this critical knowledge gap, this project will examine linkages between patterns of ecotype-specific archaeal ammonia monooxygenase (amoA) gene abundance and expression and 15N-based nitrification rates across multiple depths (0-500m) and two stations within the Monterey Bay Time Series (MBTS). Acquiring quantitative expressional and biogeochemical activity data from a wide array of water column samples from the MBTS, bimonthly over the course of two years, will yield valuable new insights into how archaeal ammonia oxidation and AOA ecotype dynamics are influenced by changes in ocean conditions.

The discovery of AOA has served to refocus attention on nitrification in the ocean; however, there are still an alarmingly low number of direct measurements of oceanic ammonia oxidation rates. This paucity of data has made it difficult to accurately quantify the degree to which nitrification supports primary production in the global ocean. One major goal of this project is to ascertain whether a quantitative relationship between the abundance of AOA genes and transcripts and instantaneous rates of nitrification exists for the coastal ocean. Prior collaboration indicated a strong correlation between 15N-based nitrification rates and archaeal amoA gene copies in surface waters of northern Monterey Bay. This study will acquire a more holistic understanding of this relationship by performing these measurements as part of the MBTS, not only at depths in the euphotic zone - where the biogeochemical importance of nitrification is hotly debated - but also within disphotic and aphotic waters of the mesopelagic. By conducting this research as part of the 23 year MBTS, the resultant dataset will be incorporated into a larger oceanographic framework. These efforts will also directly connect to a goal of the MBTS to determine spatiotemporal patterns in new and regenerated primary production by providing new quantitative insights into processes responsible for regenerated nitrogen production in the photic zone. Additionally, the extensive collections of microbial sequence and biogeochemical data generated through this study will provide a valuable resource to the scientific community and, ultimately, help reveal new information about the ecology and factors regulating nitrification in the ocean, greatly advancing our ability to model its role in N and C cycles under present and future conditions.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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