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914399_v1_sra.csv (8.55 KB) | Comma Separated Values (.csv) | Primary data file for dataset ID 914399, version 1 | Download |
Single-celled microbial eukaryotes inhabit deep-sea hydrothermal vent environments and play critical ecological roles in the vent-associated microbial food web. 18S rRNA amplicon sequencing of diffuse venting fluids from two geochemically-distinct hydrothermal vent fields was applied to investigate community diversity patterns among protistan assemblages. Piccard and Von Damm vent fields are situated 20 km apart at the Mid-Cayman Rise in the Caribbean Sea. We describe species diversity patterns ...
Show moreSamples and experiments were collected and executed during cruise AT42-22 aboard the RV Atlantis with ROV Jason in January-February 2020 at the Von Damm (2300 m; 18°23’N, 81°48’W) and Piccard (5000 m; 18°33’N, 81°43’W) hydrothermal fields located along the Mid-Cayman Rise.
Fluids for shipboard grazing experiments and biogeochemistry were obtained in 10L volume bags (Kynar, Keika Ventures; polyvinylidene fluoride) using the Hydrothermal Organic Geochemistry (HOG) sampler mounted on ROV Jason. Between 4-10 L of vent fluid was collected and filtered through a 47 mm polyethersulphone (PES) filter (Millipore) with a pore size of 0.2 µm and preserved with RNAlater (Ambion) at the seafloor for molecular analysis of microbial communities.
Non-vent samples were collected from within the overlying non-buoyant hydrothermal plume at each site and from background seawater via CTD-mounted Niskin bottles. Plume samples were identified using in situ CTD sensors to detect the presence of hydrothermal influence in real-time (back-scatter and temperature) above each vent field. Background seawater samples were collected outside of the influence of the hydrothermal vent at approximately the same depth as the vent sites (~2350 m and ~4950 m).
Hu, S. K., Huber, J. (2023) 18S rRNA amplicon sequencing of microbial eukaryotes from the Mid-Cayman Rise acquired Jan-Feb, 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-11-06 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.914399.1 [access date]
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