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

Details

• Journal Title:
  Limnology and Oceanography
• Personal Author:
  Catlett, Dylan ; Siegel, David A. ; Matson, Paul G. ; Wear, Emma K. ; Carlson, Craig A. ; Lankiewicz, Thomas S. ; Iglesias‐Rodriguez, M. Debora
• NOAA Program & Office:
  NOAA General Documents
• Description:
  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.
• Keywords:
  Aquatic Science Oceanography
• Source:
  Limnology and Oceanography, 68(2), 361-376
• DOI:
  https://doi.org/10.1002/lno.12274
• ISSN:
  0024-3590 ; 1939-5590
• Format:
  PDF
• Publisher:
  Wiley
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Library
• Main Document Checksum:
  urn:sha256:be79271ec33cf3a7e5777732eb43050e8891966daf80f7fb2011e9e63072d4f1
• Download URL:
  https://repository.library.noaa.gov/view/noaa/58035/noaa_58035_DS1.pdf
• File Type:
  [PDF - 796.11 KB ]