Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer

Plankton are an extremely diverse and polyphyletic group, exhibiting a large range in morphological and physiological traits. Here, we apply automated optical techniques, provided by the pulse‐shape recording automated flow cytometer—CytoSense—to investigate trait variability of phytoplankton and pl...

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Published in:Limnology and Oceanography
Main Authors: Fragoso, Glaucia Moreira, Poulton, Alex James, Pratt, Nicola Jane, Johnsen, Geir, Purdie, Duncan Alastair
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:http://nora.nerc.ac.uk/id/eprint/525331/
https://nora.nerc.ac.uk/id/eprint/525331/1/Fragoso_et_al-2019-Limnology_and_Oceanography.pdf
https://doi.org/10.1002/lno.11189
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spelling ftnerc:oai:nora.nerc.ac.uk:525331 2023-05-15T14:54:13+02:00 Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer Fragoso, Glaucia Moreira Poulton, Alex James Pratt, Nicola Jane Johnsen, Geir Purdie, Duncan Alastair 2019-05-12 text http://nora.nerc.ac.uk/id/eprint/525331/ https://nora.nerc.ac.uk/id/eprint/525331/1/Fragoso_et_al-2019-Limnology_and_Oceanography.pdf https://doi.org/10.1002/lno.11189 en eng https://nora.nerc.ac.uk/id/eprint/525331/1/Fragoso_et_al-2019-Limnology_and_Oceanography.pdf Fragoso, Glaucia Moreira; Poulton, Alex James; Pratt, Nicola Jane; Johnsen, Geir; Purdie, Duncan Alastair. 2019 Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer. Limnology and Oceanography, 64 (4). 1763-1778. https://doi.org/10.1002/lno.11189 <https://doi.org/10.1002/lno.11189> cc_by_4 CC-BY Publication - Article PeerReviewed 2019 ftnerc https://doi.org/10.1002/lno.11189 2023-02-04T19:49:22Z Plankton are an extremely diverse and polyphyletic group, exhibiting a large range in morphological and physiological traits. Here, we apply automated optical techniques, provided by the pulse‐shape recording automated flow cytometer—CytoSense—to investigate trait variability of phytoplankton and plastidic ciliates in Arctic and Atlantic waters of the subpolar North Atlantic. We used the bio‐optical descriptors derived from the CytoSense (light scattering [forward and sideward] and fluorescence [red, yellow/green and orange from chlorophyll a, degraded pigments, and phycobiliproteins, respectively]) and translated them into functional traits to demonstrate ecological trait variability along an environmental gradient. Cell size was the master trait varying in this study, with large photosynthetic microplankton (> 20 μm in cell diameter), including diatoms as single cells and chains, as well as plastidic ciliates found in Arctic waters, while small‐sized phytoplankton groups, such as the picoeukaryotes (< 4 μm) and the cyanobacteria Synechococcus were dominant in Atlantic waters. Morphological traits, such as chain/colony formation and structural complexity (i.e., cellular processes, setae, and internal vacuoles), appear to favor buoyancy in highly illuminated and stratified Arctic waters. In Atlantic waters, small cell size and spherical cell shape, in addition to photo‐physiological traits, such as high internal pigmentation, offer chromatic adaptation for survival in the low nutrient and dynamic mixing waters of the Atlantic Ocean. The use of automated techniques that quantify ecological traits holds exciting new opportunities to unravel linkages between the structure and function of plankton communities and marine ecosystems. Article in Journal/Newspaper Arctic North Atlantic Phytoplankton Natural Environment Research Council: NERC Open Research Archive Arctic Limnology and Oceanography
institution Open Polar
collection Natural Environment Research Council: NERC Open Research Archive
op_collection_id ftnerc
language English
description Plankton are an extremely diverse and polyphyletic group, exhibiting a large range in morphological and physiological traits. Here, we apply automated optical techniques, provided by the pulse‐shape recording automated flow cytometer—CytoSense—to investigate trait variability of phytoplankton and plastidic ciliates in Arctic and Atlantic waters of the subpolar North Atlantic. We used the bio‐optical descriptors derived from the CytoSense (light scattering [forward and sideward] and fluorescence [red, yellow/green and orange from chlorophyll a, degraded pigments, and phycobiliproteins, respectively]) and translated them into functional traits to demonstrate ecological trait variability along an environmental gradient. Cell size was the master trait varying in this study, with large photosynthetic microplankton (> 20 μm in cell diameter), including diatoms as single cells and chains, as well as plastidic ciliates found in Arctic waters, while small‐sized phytoplankton groups, such as the picoeukaryotes (< 4 μm) and the cyanobacteria Synechococcus were dominant in Atlantic waters. Morphological traits, such as chain/colony formation and structural complexity (i.e., cellular processes, setae, and internal vacuoles), appear to favor buoyancy in highly illuminated and stratified Arctic waters. In Atlantic waters, small cell size and spherical cell shape, in addition to photo‐physiological traits, such as high internal pigmentation, offer chromatic adaptation for survival in the low nutrient and dynamic mixing waters of the Atlantic Ocean. The use of automated techniques that quantify ecological traits holds exciting new opportunities to unravel linkages between the structure and function of plankton communities and marine ecosystems.
format Article in Journal/Newspaper
author Fragoso, Glaucia Moreira
Poulton, Alex James
Pratt, Nicola Jane
Johnsen, Geir
Purdie, Duncan Alastair
spellingShingle Fragoso, Glaucia Moreira
Poulton, Alex James
Pratt, Nicola Jane
Johnsen, Geir
Purdie, Duncan Alastair
Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
author_facet Fragoso, Glaucia Moreira
Poulton, Alex James
Pratt, Nicola Jane
Johnsen, Geir
Purdie, Duncan Alastair
author_sort Fragoso, Glaucia Moreira
title Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
title_short Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
title_full Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
title_fullStr Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
title_full_unstemmed Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
title_sort trait‐based analysis of subpolar north atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer
publishDate 2019
url http://nora.nerc.ac.uk/id/eprint/525331/
https://nora.nerc.ac.uk/id/eprint/525331/1/Fragoso_et_al-2019-Limnology_and_Oceanography.pdf
https://doi.org/10.1002/lno.11189
geographic Arctic
geographic_facet Arctic
genre Arctic
North Atlantic
Phytoplankton
genre_facet Arctic
North Atlantic
Phytoplankton
op_relation https://nora.nerc.ac.uk/id/eprint/525331/1/Fragoso_et_al-2019-Limnology_and_Oceanography.pdf
Fragoso, Glaucia Moreira; Poulton, Alex James; Pratt, Nicola Jane; Johnsen, Geir; Purdie, Duncan Alastair. 2019 Trait‐based analysis of subpolar North Atlantic phytoplankton and plastidic ciliate communities using automated flow cytometer. Limnology and Oceanography, 64 (4). 1763-1778. https://doi.org/10.1002/lno.11189 <https://doi.org/10.1002/lno.11189>
op_rights cc_by_4
op_rightsnorm CC-BY
op_doi https://doi.org/10.1002/lno.11189
container_title Limnology and Oceanography
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