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Experimental identification and in silico prediction of bacterivory in green algae
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 ph...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245530/ https://www.ncbi.nlm.nih.gov/pubmed/33649548 http://dx.doi.org/10.1038/s41396-021-00899-w |
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author | Bock, Nicholas A. Charvet, Sophie Burns, John Gyaltshen, Yangtsho Rozenberg, Andrey Duhamel, Solange Kim, Eunsoo |
author_facet | Bock, Nicholas A. Charvet, Sophie Burns, John Gyaltshen, Yangtsho Rozenberg, Andrey Duhamel, Solange Kim, Eunsoo |
author_sort | Bock, Nicholas A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8245530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82455302021-07-20 Experimental identification and in silico prediction of bacterivory in green algae Bock, Nicholas A. Charvet, Sophie Burns, John Gyaltshen, Yangtsho Rozenberg, Andrey Duhamel, Solange Kim, Eunsoo ISME J Article 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. Nature Publishing Group UK 2021-03-02 2021-07 /pmc/articles/PMC8245530/ /pubmed/33649548 http://dx.doi.org/10.1038/s41396-021-00899-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bock, Nicholas A. Charvet, Sophie Burns, John Gyaltshen, Yangtsho Rozenberg, Andrey Duhamel, Solange Kim, Eunsoo Experimental identification and in silico prediction of bacterivory in green algae |
title | Experimental identification and in silico prediction of bacterivory in green algae |
title_full | Experimental identification and in silico prediction of bacterivory in green algae |
title_fullStr | Experimental identification and in silico prediction of bacterivory in green algae |
title_full_unstemmed | Experimental identification and in silico prediction of bacterivory in green algae |
title_short | Experimental identification and in silico prediction of bacterivory in green algae |
title_sort | experimental identification and in silico prediction of bacterivory in green algae |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245530/ https://www.ncbi.nlm.nih.gov/pubmed/33649548 http://dx.doi.org/10.1038/s41396-021-00899-w |
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