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Diaz BP, Zelzion E, Halsey K, Gaube P, Behrenfeld M, Bidle KD. Marine phytoplankton downregulate core photosynthesis and carbon storage genes upon rapid mixed layer shallowing. THE ISME JOURNAL 2023:10.1038/s41396-023-01416-x. [PMID: 37156837 DOI: 10.1038/s41396-023-01416-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 04/03/2023] [Accepted: 04/13/2023] [Indexed: 05/10/2023]
Abstract
Marine phytoplankton are a diverse group of photoautotrophic organisms and key mediators in the global carbon cycle. Phytoplankton physiology and biomass accumulation are closely tied to mixed layer depth, but the intracellular metabolic pathways activated in response to changes in mixed layer depth remain less explored. Here, metatranscriptomics was used to characterize the phytoplankton community response to a mixed layer shallowing (from 233 to 5 m) over the course of two days during the late spring in the Northwest Atlantic. Most phytoplankton genera downregulated core photosynthesis, carbon storage, and carbon fixation genes as the system transitioned from a deep to a shallow mixed layer and shifted towards catabolism of stored carbon supportive of rapid cell growth. In contrast, phytoplankton genera exhibited divergent transcriptional patterns for photosystem light harvesting complex genes during this transition. Active virus infection, taken as the ratio of virus to host transcripts, increased in the Bacillariophyta (diatom) phylum and decreased in the Chlorophyta (green algae) phylum upon mixed layer shallowing. A conceptual model is proposed to provide ecophysiological context for our findings, in which integrated light limitation and lower division rates during transient deep mixing are hypothesized to disrupt resource-driven, oscillating transcript levels related to photosynthesis, carbon fixation, and carbon storage. Our findings highlight shared and unique transcriptional response strategies within phytoplankton communities acclimating to the dynamic light environment associated with transient deep mixing and shallowing events during the annual North Atlantic bloom.
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Affiliation(s)
- Ben P Diaz
- Department of Marine and Coastal Science, Rutgers University, New Brunswick, NJ, 08901, USA
- Biotechnology & Bioengineering, Sandia National Laboratories, 7011 East Avenue, Livermore, CA, 94550, USA
| | - Ehud Zelzion
- Office of Advanced Research Computing, Rutgers University, Piscataway, NJ, 08854, USA
| | - Kimberly Halsey
- Department of Microbiology, Oregon State University, Corvallis, OR, 97331, USA
| | - Peter Gaube
- Applied Physics Laboratory, University of Washington, Seattle, WA, 98105, USA
| | - Michael Behrenfeld
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Kay D Bidle
- Department of Marine and Coastal Science, Rutgers University, New Brunswick, NJ, 08901, USA.
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Grattepanche JD, Jeffrey WH, Gast RJ, Sanders RW. Diversity of Microbial Eukaryotes Along the West Antarctic Peninsula in Austral Spring. Front Microbiol 2022; 13:844856. [PMID: 35651490 PMCID: PMC9149413 DOI: 10.3389/fmicb.2022.844856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
Abstract
During a cruise from October to November 2019, along the West Antarctic Peninsula, between 64.32 and 68.37°S, we assessed the diversity and composition of the active microbial eukaryotic community within three size fractions: micro- (> 20 μm), nano- (20-5 μm), and pico-size fractions (5-0.2 μm). The communities and the environmental parameters displayed latitudinal gradients, and we observed a strong similarity in the microbial eukaryotic communities as well as the environmental parameters between the sub-surface and the deep chlorophyll maximum (DCM) depths. Chlorophyll concentrations were low, and the mixed layer was shallow for most of the 17 stations sampled. The richness of the microplankton was higher in Marguerite Bay (our southernmost stations), compared to more northern stations, while the diversity for the nano- and pico-plankton was relatively stable across latitude. The microplankton communities were dominated by autotrophs, mostly diatoms, while mixotrophs (phototrophs-consuming bacteria and kleptoplastidic ciliates, mostly alveolates, and cryptophytes) were the most abundant and active members of the nano- and picoplankton communities. While phototrophy was the dominant trophic mode, heterotrophy (mixotrophy, phagotrophy, and parasitism) tended to increase southward. The samples from Marguerite Bay showed a distinct community with a high diversity of nanoplankton predators, including spirotrich ciliates, and dinoflagellates, while cryptophytes were observed elsewhere. Some lineages were significantly related-either positively or negatively-to ice coverage (e.g., positive for Pelagophyceae, negative for Spirotrichea) and temperature (e.g., positive for Cryptophyceae, negative for Spirotrichea). This suggests that climate changes will have a strong impact on the microbial eukaryotic community.
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Affiliation(s)
| | - Wade H. Jeffrey
- Center for Environmental Diagnostics and Bioremediation, University of West Florida, Pensacola, FL, United States
| | - Rebecca J. Gast
- Department of Biology, Woods Hole Oceanographic Institution, Pensacola, MA, United States
| | - Robert W. Sanders
- Department of Biology, Temple University, Philadelphia, PA, United States
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Chen J, Huang Y, Shu Y, Hu X, Wu D, Jiang H, Wang K, Liu W, Fu W. Recent Progress on Systems and Synthetic Biology of Diatoms for Improving Algal Productivity. Front Bioeng Biotechnol 2022; 10:908804. [PMID: 35646842 PMCID: PMC9136054 DOI: 10.3389/fbioe.2022.908804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 04/29/2022] [Indexed: 11/13/2022] Open
Abstract
Microalgae have drawn much attention for their potential applications as a sustainable source for developing bioactive compounds, functional foods, feeds, and biofuels. Diatoms, as one major group of microalgae with high yields and strong adaptability to the environment, have shown advantages in developing photosynthetic cell factories to produce value-added compounds, including heterologous bioactive products. However, the commercialization of diatoms has encountered several obstacles that limit the potential mass production, such as the limitation of algal productivity and low photosynthetic efficiency. In recent years, systems and synthetic biology have dramatically improved the efficiency of diatom cell factories. In this review, we discussed first the genome sequencing and genome-scale metabolic models (GEMs) of diatoms. Then, approaches to optimizing photosynthetic efficiency are introduced with a focus on the enhancement of biomass productivity in diatoms. We also reviewed genome engineering technologies, including CRISPR (clustered regularly interspaced short palindromic repeats) gene-editing to produce bioactive compounds in diatoms. Finally, we summarized the recent progress on the diatom cell factory for producing heterologous compounds through genome engineering to introduce foreign genes into host diatoms. This review also pinpointed the bottlenecks in algal engineering development and provided critical insights into the future direction of algal production.
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Affiliation(s)
- Jiwei Chen
- Department of Marine Science, Ocean College, Zhejiang University, Hangzhou, China
| | - Yifan Huang
- Department of Marine Science, Ocean College, Zhejiang University, Hangzhou, China
| | - Yuexuan Shu
- Department of Marine Science, Ocean College, Zhejiang University, Hangzhou, China
| | - Xiaoyue Hu
- Center for Data Science, Zhejiang University, Hangzhou, China
- School of Mathematical Sciences, Zhejiang University, Hangzhou, China
| | - Di Wu
- Department of Marine Science, Ocean College, Zhejiang University, Hangzhou, China
| | - Hangjin Jiang
- Center for Data Science, Zhejiang University, Hangzhou, China
| | - Kui Wang
- Department of Marine Science, Ocean College, Zhejiang University, Hangzhou, China
| | - Weihua Liu
- School of Mathematical Sciences, Zhejiang University, Hangzhou, China
| | - Weiqi Fu
- Department of Marine Science, Ocean College, Zhejiang University, Hangzhou, China
- Center for Systems Biology and Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
- *Correspondence: Weiqi Fu,
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