Experimental identification and in silico prediction of bacterivory in green algae
Author
Bock, Nicholas A.Charvet, Sophie
Burns, John
Gyaltshen, Yangtsho
Rozenberg, Andrey
Duhamel, Solange
Kim, Eunsoo
Affiliation
Department of Molecular and Cellular Biology, The University of ArizonaIssue Date
2021-03-02
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Springer NatureCitation
Bock, N. A., Charvet, S., Burns, J., Gyaltshen, Y., Rozenberg, A., Duhamel, S., & Kim, E. (2021). Experimental identification and in silico prediction of bacterivory in green algae. The ISME Journal, 1-14.Journal
ISME JournalRights
© The Author(s) 2021. This article is published with open access. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
While algal phago-mixotrophs play a major role in aquatic microbial food webs, their diversity remains poorly understood. Recent studies have indicated several species of prasinophytes, early diverging green algae, to be able to consume bacteria for nutrition. To further explore the occurrence of phago-mixotrophy in green algae, we conducted feeding experiments with live fluorescently labeled bacteria stained with CellTracker Green CMFDA, heat-killed bacteria stained with 5-(4,6-dichlorotriazin-2-yl) aminofluorescein (DTAF), and magnetic beads. Feeding was detected via microscopy and/or flow cytometry in five strains of prasinophytes when provided with live bacteria: Pterosperma cristatum NIES626, Pyramimonas parkeae CCMP726, Pyramimonas parkeae NIES254, Nephroselmis pyriformis RCC618, and Dolichomastix tenuilepis CCMP3274. No feeding was detected when heat-killed bacteria or magnetic beads were provided, suggesting a strong preference for live prey in the strains tested. In parallel to experimental assays, green algal bacterivory was investigated using a gene-based prediction model. The predictions agreed with the experimental results and suggested bacterivory potential in additional green algae. Our observations underline the likelihood of widespread occurrence of phago-mixotrophy among green algae, while additionally highlighting potential biases introduced when using prey proxy to evaluate bacterial ingestion by algal cells. © 2021, The Author(s).Note
Open access articleISSN
1751-7362EISSN
1751-7370Version
Final published versionSponsors
National Science Foundationae974a485f413a2113503eed53cd6c53
10.1038/s41396-021-00899-w
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Except where otherwise noted, this item's license is described as © The Author(s) 2021. This article is published with open access. This article is licensed under a Creative Commons Attribution 4.0 International License.