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...
Published in: | Limnology and Oceanography |
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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 |
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Open Polar |
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Natural Environment Research Council: NERC Open Research Archive |
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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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1766325946504183808 |