Dataset: AE1913 Peptide Spectral Counts

Name: Peptides associated with scaffold-derived metaproteomic proteins from samples taken during R/V Atlantic Explorer cruise AE1913 from the Sargasso Sea to Northeast US shelf waters in June of 2019
Published: 2024-08-01
Keywords: oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.934718.1

Spatial Extent: N:38.527393 E:-64.165587 S:31.586387 W:-70.840703

Subtropical North Atlantic, beginning at the Bermuda Atlantic Time-series Station (BATS) of the Sargasso Sea (31.666888 N64.166293 W) and ending in coastal Northeast US shelf waters (39.31658 N 71.123208 W)

Temporal Extent: 2019-06-16 - 2019-06-27

Project:

Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV (Nutrient Stress Responses and AUV Clio)

Principal Investigator:

Mak A. Saito (Woods Hole Oceanographic Institution, WHOI)

Scientist:

Natalie Cohen (Woods Hole Oceanographic Institution, WHOI)

BCO-DMO Data Manager:

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2024-08-01

Restricted:

Validated:

Yes

Current State:

Final no updates expected

Peptides associated with scaffold-derived metaproteomic proteins from samples taken during R/V Atlantic Explorer cruise AE1913 from the Sargasso Sea to Northeast US shelf waters in June of 2019

Abstract:

These are individual peptides associated with scaffold-derived metaproteomic proteins (includes total spectral counts for each peptide). Samples were taken during R/V Atlantic Explorer cruise AE1913 in Subtropical North Atlantic, beginning at the Bermuda Atlantic Time-series Station (BATS) of the Sargasso Sea and ending in coastal Northeast US shelf waters in June of 2019.

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2024-08-01	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.934718.1	2024-10-29

Description

Related data table and dataset descriptions:

Total spectral counts refer to the total number of spectra with peptide to spectrum matches (PSMs) that matches to each entry within the FASTA sequence database. This approach allows each peptide to map to multiple closely related sequences. In contrast, with exclusive spectral counts each peptide is only allowed to map to one sequence within the FASTA database, and when a peptide is found in multiple database sequences the one with the most peptides mapping (parsimony) to it is selected. There are pros and cons to each approach, where total spectral counts will double count peptides when two similar proteins are compared, and exclusive spectral counts will underrepresent less abundant proteins with shared peptides, favoring the most homolog with the most shared peptides. Considering protein groups with shared peptides or focusing on peptide-level analyses are alternative approaches that could be constructed from these results.

See "Related Datasets" section for:
* "AE1913 Protein Spectral Counts" which includes the exclusive and total spectral counts associated with proteins.
* "AE1913 Protein Identification FASTA"

CTD and other data from the same cruise are listed on deployment page AE1913: https://www.bco-dmo.org/deployment/916412

These data will become part of the Ocean Protein Portal (https://proteinportal.whoi.edu/; Saito et al., 2020).

Methods & Sampling

Methods are reported in Cohen et al. 2023 (biorxiv preprint doi: 10.1101/2023.11.20.567900) and are summarized below.
* This section describes how this and related datasets were generated (see "Related Datasets" section).

One half of the 142 mm filters (0.2-51 μm) collected by Clio were processed for metaproteomics. Proteins were extracted in an 1% SDS-based detergent in 50 mM HEPES at pH 8.5, reduced with dithiothreitol, alkylated with iodoacetamide, and purified using a polyacrylamide electrophoresis tube gel method. Protein quantification was performed using a BSA assay. Trypsin was added to the protein-bead mixture in a 1:20 trypsin:protein ratio. Peptides were purified using C18 tips and diluted to a concentration of 0.1 μg μL−1.

Approximately 2-5 µg of purified peptides were injected onto a Dionex UltiMate 3000 RSLCnano LC system with an additional RSLCnano pump, run in online 2D active modulation mode interfaced with a Thermo Fusion mass spectrometer. The mass spectrometer acquired MS1 scans from 380 to 1,580 m/z at 240K resolution in the Orbitrap. MS2 were collected in data dependent mode in the ion trap with a cycle time of 2 seconds between scans and acquisition of charge states 2 to 10. MS2 scans had 1.6 m/z isolation window, 50 ms maximum injection time and 5 s dynamic exclusion time.

Data Processing Description

The metatranscriptomic ORFs were used as the protein database, and peptide-spectrum matches were performed using Sequest algorithm within IseNode Proteome Discoverer 2.2.0.388 with a parent ion tolerance of 10 ppm and fragment tolerance of 0.6 Da, and 0 max missed cleavage. Identification criteria consisted of a peptide threshold of 98% (false discovery rate [FDR] = 0.1%) and protein threshold of 99% (1 peptide minimum, FDR = 1.5%) in Scaffold 5.1.2 (Proteome Software) resulting in 77,438 proteins and 3,155,061 exclusive spectral counts.

"NA" in the spectral_count_sum column represents annotations not available, or no counts detected.

BCO-DMO Processing

* Submitted file "opp_peptides.csv" was modified to name the first un-named column with name "row_id". Data were not modified further. Due to table size the data were not imported into the data system and instead was attached to this dataset as a csv a Data File directly named .
** In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.

* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]

* Date converted to ISO 8601 format

* ISO DateTime with timezone (UTC) column added in ISO 8601 format.

* Species names corrected. World Register of Marine Species taxa match tool used to find misspellings and unaccepted names. Name changes reviewed and accepted by the data contributor Species name spelling corrected to the accepted spelling (as of 2018-05-09)

Data Files

File
Peptide information and spectral counts filename: 934718_v1_ae1913-peptide-spectral-counts.csv (Comma Separated Values (.csv), 11.49 GB) MD5:3d20b0d47a2867c52ceaff32e5cb9f77 Primary data table for dataset 934718 version 1.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1658030

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
AE1913	Clio-BATS-WHOI AE1913	2019-06-16	R/V Atlantic Explorer	Mak A. Saito (Chief Scientist)	data info

Instruments

AUV Clio

Supplied Name:

Supplied Description:

Instrument Type

Generic Name: AUV Clio

Generic Description:

Clio is an autonomous underwater vehicle (AUV) created to accomplish the dual goals of global ocean mapping and biochemistry sampling. The ability to sample dissolved and particulate seawater biochemistry across ocean basins while capturing fine-scale biogeochemical processes sets it apart from other AUVs. Clio is designed to efficiently and precisely move vertically through the ocean, drift laterally to observe water masses, and integrate with research vessel operations to map large horizontal scales up to a depth of 6,000 meters. More information is available at https://www2.whoi.edu/site/deepsubmergencelab/clio/

Mass Spectrometer

Supplied Name: Thermo Fusion mass spectrometer

Supplied Description:

Instrument Type

Generic Name: Mass Spectrometer

Acronym: Mass Spec

Community Identifier: http://vocab.nerc.ac.uk/collection/L05/current/LAB16/

Generic Description:

General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.

Ultra high-performance liquid chromatography

Supplied Name: Dionex UltiMate 3000 RSLCnano LC system

Supplied Description:

Instrument Type

Generic Name: Ultra high-performance liquid chromatography

Acronym: UHPLC

Generic Description:

Ultra high-performance liquid chromatography: Column chromatography where the mobile phase is a liquid, the stationary phase consists of very small (< 2 microm) particles and the inlet pressure is relatively high.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
row_id	sequential row identifier	unitless	no_bcodmo_term
protein_id	Identification parameter for protein sequence, typically shared with metagenomic database. An identifier that uniquely identifies this protein within this dataset and the FASTA file.	unitless	protein_ID
peptide_sequence	Peptide genomic sequence (unique sequence in dataset)	unitless	sequence
sample_id	Identifies the sample associated with this annotation	unitless	sample
spectral_count_sum	Sum of spectral counts (+2, +3, +4 ions)	unitless	spectral_counts
cruise_id	Cruise identifier	unitless	cruise_id
station_id	Station identifier where sample was taken	unitless	station
depth_m	The depth in meters at which the sample as taken	meters	depth
minimum_filter_size_microns	Minimum size of the collection filter	microns (um)	filter_size
maximum_filter_size_microns	Maximum size of the collection filter	microns (um)	filter_size
date_y_m_d	The date of sample collection Format: %m/%d/%Y	unitless	date
latitude_dd	The latitude at the station in decimal degrees (-90 to 90)	decimal degrees	lat
longitude_dd	The longitude at the station in decimal degrees (-180 to 180)	decimal degrees	lon

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Database

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Dataset: AE1913 Peptide Spectral Counts