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dc.contributor.authorBock, Nicholas A.
dc.contributor.authorCharvet, Sophie
dc.contributor.authorBurns, John
dc.contributor.authorGyaltshen, Yangtsho
dc.contributor.authorRozenberg, Andrey
dc.contributor.authorDuhamel, Solange
dc.contributor.authorKim, Eunsoo
dc.date.accessioned2021-03-26T21:50:07Z
dc.date.available2021-03-26T21:50:07Z
dc.date.issued2021-03-02
dc.identifier.citationBock, 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.en_US
dc.identifier.issn1751-7362
dc.identifier.doi10.1038/s41396-021-00899-w
dc.identifier.urihttp://hdl.handle.net/10150/657231
dc.description.abstractWhile 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).en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.rights© The Author(s) 2021. This article is published with open access. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleExperimental identification and in silico prediction of bacterivory in green algaeen_US
dc.typeArticleen_US
dc.identifier.eissn1751-7370
dc.contributor.departmentDepartment of Molecular and Cellular Biology, The University of Arizonaen_US
dc.identifier.journalISME Journalen_US
dc.description.noteOpen access articleen_US
dc.description.collectioninformationThis 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.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleThe ISME Journal
refterms.dateFOA2021-03-26T21:50:07Z


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© The Author(s) 2021. This article is published with open access. This article is licensed under a Creative Commons Attribution 4.0 International License.
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.