Integrating phytoplankton pigment and DNA meta-barcoding observations to determine phytoplankton composition in the coastal ocean

Catlett, Dylan; Siegel, David A.; Matson, Paul G.; Wear, Emma K.; Carlson, Craig A.; Lankiewicz, Thomas S.; Iglesias‐Rodriguez, M. Debora

doi:10.1002/lno.12274

Integrating phytoplankton pigment and DNA meta-barcoding observations to determine phytoplankton composition in the coastal ocean

Journal Article · Sun Dec 11 00:00:00 EST 2022 · Limnology and Oceanography

DOI:https://doi.org/10.1002/lno.12274· OSTI ID:1905364

^[1]; ^[1]; ^[2]; ^[1]; Carlson, Craig A. ^[1]; Lankiewicz, Thomas S. ^[1]; Iglesias‐Rodriguez, M. Debora ^[1]

Univ. of California, Santa Barbara, CA (United States)
Univ. of California, Santa Barbara, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division

Quantifying phytoplankton composition is critical to predicting marine ecosystem structure and function. DNA meta-barcoding and high-performance liquid chromatography (HPLC) pigment analysis are two widely used methods for assessing phytoplankton composition; however, comparing their performance has been done only rarely. Here, we integrate DNA meta-barcoding and HPLC pigment observations to determine eukaryotic phytoplankton composition in the Santa Barbara Channel, California. We find that both methods identify the same four dominant eukaryotic phytoplankton taxa (diatoms, dinoflagellates, chlorophytes, and prymnesiophytes), but inter- and intra-lineage variability in biomarker pigmentation (associated with both a lack of taxonomic specificity of biomarker pigments and intrinsic differences in accessory pigmentation) drives substantial disagreement between the methods. Covariation network analysis circumvents this disagreement and reveals that diverse assemblages of phytoplankton and other protists covary with distinct suites of biomarker pigments. Our results highlight the strengths and weaknesses of each method in characterizing phytoplankton composition and reveal novel insights into phytoplankton physiology that could only be gained by integrating the two methods. Finally, we suggest a path to monitor eukaryotic plankton communities on unprecedented spatiotemporal scales based on the covariation of unique phytoplankton and protistan assemblages with remotely sensible phytoplankton pigment concentrations.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: Bureau of Ocean and Energy Management Ecosystem (BOEM); National Aeronautics and Space Administration (NASA); National Oceanic and Atmospheric Administration; National Science Foundation (NSF); USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1905364

Journal Information:: Limnology and Oceanography, Journal Name: Limnology and Oceanography Journal Issue: 2 Vol. 68; ISSN 0024-3590

Publisher:: Association for the Sciences of Limnology and Oceanography - WileyCopyright Statement

Country of Publication:: United States

Language:: English

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