Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • BCO-DMO Processing Description
• Data Files
• Related Publications
• Related Datasets
• Parameters
• Instruments
• Deployments
• Project Information
• Funding

Samples were collected in the central and southern California Current. Most samples were collected in the Monterey Bay region, but a subset of samples were collected in southern California in 2020 and 2021. Samples were collected from between 0 to 3,000 meters depth. Samples were collected on four cruises across three years. All cruises were on the R/V Western Flyer. Dr. Steven Haddock (haddock@mbari.org) was the Chief Scientist on all cruises. Cruises occurred in March 2019 (Cruise ID: WF0319), January 2020 (Cruise ID: WF0120), July 2020 (Cruise ID: WF0720), and July 2021 (Cruise ID: WF0721). Sample locations and dates are provided as columns in the data file.

Siphonophores were collected using three methods: (1) a remotely operated vehicle, (2) blue water diving, and (3) a midwater trawl.

(1) We used the Remotely Operated Vehicle (ROV) Doc Ricketts (https://www.mbari.org/technology/rov-doc-ricketts/) to collect siphonophores, which is an electro-hydraulic vehicle that operates between 200 and 4000 meters. The vehicle was fitted with high-definition video cameras, environmental data instrumentation (e.g. depth, temperature, salinity, and oxygen sensors), and suction and detritus samples to collect in-tact siphonophore specimens. ROV collections occurred during daylight hours.

(2) Siphonophores were collected by blue water diving between 0 and 20 meters during daylight hours. Blue water diving techniques followed the guidelines in the following publication: Haddock, Steven HD, and John N. Heine. "Scientific blue-water diving." (2005). From Haddock and Heine (2005): "In a typical blue-water dive, working divers are connected to a surface platform (and indirectly to each other) by tethers attached to a central hub, which is tended by a safety diver. This hub is connected to a down-line, providing a vertical point of reference. A surface float allows the divers to drift freely through the upper water-column, focusing on their work while the safety diver acts as a buddy for everyone."

(3) A Tucker Trawl with a frame area: 2 square meters (m²), mesh size: 500 micrometers (μm) was towed obliquely for ~2 hours between 900 meters and the surface at night.

Upon collection, siphonophores were identified to the finest taxonomic level, which was either genus or species. For some genera, there are likely undescribed and/or cryptic species (e.g., Apolemia) and for these taxa, genera-level identifications were used. All siphonophores were rinsed with DI water and frozen at -80°C until further processing. Siphonophore tissues were weighed, lyophilized, packaged into tin capsules for bulk isotope analysis, and analyzed at the University of Hawaii's Isotope Geochemistry Facility.

For bulk stable isotope analysis, siphonophore samples were analyzed using a Costech (Valencia, CA, USA) elemental combustion system coupled to a Thermo-Finnigan Delta XP isotope ratio mass spectrometer with N2 standard for nitrogen and Vienna Pee Dee Belemnite for carbon.

A subset of samples was selected for compound-specific isotope analysis of amino acids (CSIA-AA). CSIA-AA was also conducted at the University of Hawaii's Isotope Geochemistry Facility using acid hydrolysis followed by derivatization (see Popp et al. (2007) and Hannides et al. (2013) for details). The CSIA-AA data are available in a separate BCO-DMO dataset (see 'Related Datasets').

Related Resources:
​Some of the siphonophores collected in this dataset were also used for metabarcoding. Those data are published Damian-Serrano, et al. (2022) (doi: 10.1371/journal.pone.0267761)

Illumina sequencing data files can be found in the NCBI BioProject PRJNA733192 (https://www.ncbi.nlm.nih.gov/bioproject/733192)

Prey 18S reference database enhancement sequences are available in NCBI (accession numbers between MZ333540 - MZ333629)

Other data, intermediary files, and all code can be found in the GitHub repository: https://github.com/dunnlab/siphweb_metabarcoding (see DOI: doi.org/10.1371/journal.pone.0267761)

- Imported original file "Siphonophore bulk stable isotope data (NSF Project Number 1829812).csv" into the BCO-DMO system.
- Marked 'NA' as a missing data value (missing data are blank/empty in the final CSV file).
- Renamed fields to comply with BCO-DMO naming conventions.
- Saved the final file as "916958_v1_siphonophore_bulk_stable_isotopes.csv".

Food webs describe who eats whom, tracing the flow of energy from plants up to large animals. While many connections in food webs on land are quite familiar (lions eat antelope and antelope eat grass, for example), there are large gaps in our understanding of ocean food webs. Closing these gaps is critical to understanding how nutrients and energy move through ocean ecosystems, how organisms interact in the ocean, and how best to manage ocean resources. This project will study ocean food web structure with a focus on siphonophores, an abundant group of predators in the open ocean that range in length from less than an inch to more than one hundred feet. Siphonophores are closely related to corals and many jellyfish. They are known to be important predators within ocean food webs, but they are difficult to study because they live across great ocean depths and are gelatinous and fragile. The details of what they eat, as well as many other features of their biology, remain poorly known. This project will combine direct observations of feeding, genetic analysis of siphonophore gut contents, and stable isotope analyses to identify what different species of siphonophores eat. The team will also examine why they eat what they do. This will provide a new understanding of how the structure of food webs arise, aiding in our ability to predict future changes to food webs as the global climate shifts. Siphonophores feed in a very unique manner--they have highly specialized tentacles that are used solely for capturing prey--thus, the prey captured is determined largely by the anatomy and function of these tentacles. The project will describe these tentacles, reconstruct their evolutionary history, and investigate how evolutionary shifts in tentacle structure have led to changes in diet. This project will train one PhD student, one Master's student, a postdoc, and undergraduate students, including individuals of underrepresented groups. This project will support the production of scientifically rigorous yet engaging videos, foster the expansion of a citizen-science program, and create K-12 teaching modules. 

This project will advance three scientific aims: First, it will identify the diet of a diverse range of siphonophores using DNA metabarcoding of gut contents and prey field, remotely operated vehicle (ROV) video of prey encounters, and stable isotope analysis. These approaches are highly complementary and allow for extensive cross validation. Second, the project will characterize the selectivity of siphonophore diets by comparing them to the relative prey abundances in the habitats of each of these species. Third, the project will characterize the structure of the siphonophore prey capture apparatus across species through detailed morphological analysis of their tentacles and nematocysts. These data will be integrated in an ecological and evolutionary framework to identify predator features associated with prey specialization. In a larger context, addressing these questions will advance our understanding of oceanic predation by revealing how evolutionary changes in predator selectivity correspond to evolutionary changes in habitat and feeding apparatus and how these changes shape current food web structure in the open ocean. We will test and refine an integrated approach to describing the structure and origin of food web topology, and evaluate the potential for phylogenetic relationships to explain prey selectivity. 

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.