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Tracing the Path of Carbon Export in the Ocean though DNA Sequencing of Individual Sinking Particles

Authors :
Colleen A Durkin
Ivona Cetinic
Margaret Estapa
Zrinka Ljubesic
Maja Mucko
Aimee Neeley
Melissa Omand
Source :
ISME Journal. 16(8)
Publication Year :
2022
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2022.

Abstract

Surface phytoplankton communities were linked with the carbon they export into the deep ocean by comparing 18 S rRNA gene sequence communities from surface seawater and individually isolated sinking particles. Particles were collected in sediment traps deployed at locations in the North Pacific subtropical gyre and the California Current. DNA was isolated from individual particles, bulk-collected trap particles, and the surface seawater. The relative sequence abundance of exported phytoplankton taxa in the surface water varied across functional groups and ecosystems. Of the sequences detected in sinking particles, about half were present in large (>300 μm), individually isolated particles and primarily belonged to taxa with small cell sizes (<50 μm). Exported phytoplankton taxa detected only in bulk trap samples, and thus presumably packaged in the smaller sinking size fraction, contained taxa that typically have large cell sizes (>500 m). The effect of particle degradation on the detectable 18 S rRNA gene community differed across taxa, and differences in community composition among individual particles from the same location largely reflected differences in relative degradation state. Using these data and particle imaging, we present an approach that incorporates genetic diversity into mechanistic models of the ocean's biological carbon pump, which will lead to better quantification of the ocean’s carbon cycle.

Subjects

Subjects :
Oceanography

Details

Language :
English
ISSN :
17517370 and 17517362
Volume :
16
Issue :
8
Database :
NASA Technical Reports
Journal :
ISME Journal
Notes :
281945.02.30.01.62, , 564349.04.01.01, , 80NSSC22M0001, , 80GSFC20C0044, , OCE-1703664, , OCE-1703422
Publication Type :
Report
Accession number :
edsnas.20220006172
Document Type :
Report
Full Text :
https://doi.org/10.1038/s41396-022-01239-2