2020
DOI: 10.3354/ame01950
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Diel oscillations in the feeding activity of heterotrophic and mixotrophic nanoplankton in the North Pacific Subtropical Gyre

Abstract: Daily oscillations in photosynthetically active radiation strongly influence the timing of metabolic processes in picocyanobacteria, but it is less clear how the light-dark cycle affects the activities of their consumers. We investigated the relationship between marine picocyanobacteria and nanoplanktonic consumers throughout the diel cycle to determine whether heterotrophic and mixotrophic protists (algae with phagotrophic ability) display significant periodicity in grazing pressure. Carbon biomass of Prochlo… Show more

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Cited by 18 publications
(39 citation statements)
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“…We note that the model predicted dynamics of Prochlorococcus , free virus abundance, heterotrophic nanoflagellate abundance, and the percentage of infected cells do not always recapitulate the magnitude of diel oscillations observed. This gap may point to direct light-mediated modulation of life history traits and behavior [16, 17, 18, 19, 20, 21], and/or unaccounted for feedback mechanisms in the model structure. Like our analysis of ECLIP, we find differences in parameter sets between the best fitting generalist and specialist ECLIPSS models that is then recapitulated via analysis of the full suite of coexisting LHS parameter sets (Supplementary Information, Figure S9 and S12-S15) Hence, rather than conclude that a particular parameter set provides the most explanatory power to observed patterns, we seek to identify mechanisms common to those parameter sets that fit the data nearly equally well.…”
Section: Resultsmentioning
confidence: 99%
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“…We note that the model predicted dynamics of Prochlorococcus , free virus abundance, heterotrophic nanoflagellate abundance, and the percentage of infected cells do not always recapitulate the magnitude of diel oscillations observed. This gap may point to direct light-mediated modulation of life history traits and behavior [16, 17, 18, 19, 20, 21], and/or unaccounted for feedback mechanisms in the model structure. Like our analysis of ECLIP, we find differences in parameter sets between the best fitting generalist and specialist ECLIPSS models that is then recapitulated via analysis of the full suite of coexisting LHS parameter sets (Supplementary Information, Figure S9 and S12-S15) Hence, rather than conclude that a particular parameter set provides the most explanatory power to observed patterns, we seek to identify mechanisms common to those parameter sets that fit the data nearly equally well.…”
Section: Resultsmentioning
confidence: 99%
“…Slides were stored at -20°C until analysis. Heterotrophic nanoplankton abundances were counted using epifluorescence microscopy from triplicate slides, and differentiated from photo/mixotrophic nanoplankton by the lack of chlorophyll a autofluorescence in plastidic structures when viewed under blue-light excitation [21].…”
Section: Box 1 | Potential Mechanisms To Explain Other Losses Of Prochlorococcusmentioning
confidence: 99%
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