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Photosynthetic performance, lipid production and biomass composition in response to nitrogen limitation in marine microalgae
Abstract
Increasing energy prices demand a renewable, carbon neutral, transport fuel that is environmentally and commercially sustainable. The interest in the production of microalgae as biofuels is increasing due to their high oil content, rapid biomass production and small foot print. In this research, marine microalgae Dunaliella tertiolecta (Chlorophyceae) and Thalassiosira pseudonana (Bacillariophyceae) were incubated in nitrogen (N)-replete medium, and then transferred to N-free medium for 15 and 11 days, respectively. Fluorescence induction and relaxation (FIRe) fluorometry and Fourier transform infrared spectroscopy (FTIR) were used to monitor the photosynthetic performance, lipid production and metabolic responses to changing N availability. Growth rates of D. tertiolecta and T. pseudonana were 0.84 ± 0.16 d(-1) and 1.21 ± 0.09 d(-), respectively in N-replete medium. Upon transfer to N-free medium. The growth rates of T. pseudonana declined rapidly, while D. tertiolecta continued to grow for 5 days in N-free medium before growth declined slowly. The maximum quantum yield of photochemistry (F(v)/F(m)) remained high initially for D. tertiolecta but decreased immediately after transfer to N-free media for T. pseudonana. The functional absorption cross section for PSII (σ(PSII)) increased, the time constant for Q(A) reoxidation (τ(Qa)) and connectivity factor (p) decreased in parallel to the nutritional status of the microalgae. The relative protein and lipid content varied in response to N limitation, but carbohydrates did not change. Based on FTIR, D. tertiolecta and T. pseudonana produced 20-26% lipid when most stressed. The combination of photosynthetic efficiency and biomass composition monitoring provided evidence that metabolic strategies to changing nutrient status are species-specific.
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“Studies have indicated changes in photosynthetic activity, lipid synthesis, and biomass composition in freshwater and marine microalgae as a result of nitrogen and phosphorus limitation [8 -11].”
From Response to nutrient variation on lipid productivity in green microalgae captured using second derivative FTIR and Raman spectroscopy (2022) · cites this paper as [8]
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Metadata
- Authors
- Jiang, Y., Yoshida, T., & Quigg, A.
- Affiliations
- Texas A&M University at Galveston (US)
- Corresponding author
- Jiang, Yuelu
- Venue
- Plant Physiology and Biochemistry
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 54
- Pages
- 70-77
- ISSN
- 0981-9428 (ISSN-L)
- OpenAlex
- W2016243360
- Cited by
- 210
- References
- 42
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 10 · 2023: 10 · 2022: 23 · 2021: 21 · 2020: 17 · 2019: 16 · 2018: 14 · 2017: 17 · 2016: 14 · 2015: 11 · 2014: 16 · 2013: 17 · 2012: 7
- FWCI
- 6.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Plant Physiology and Biochemistry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Texas Emerging Technology Fund
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Photosynthetic Processes and Mechanisms
- Keywords
- nitrogen limitation, marine microalgae, Dunaliella tertiolecta, Thalassiosira pseudonana, photosynthetic performance, lipid production, biomass composition, photosystem II, microalgal biofuels, growth rate
- MeSH terms
- Fertilizers, Lipids, Nitrogen, Oxidation-Reduction, Photosynthesis, Plant Proteins, Stress, Physiological, Ecosystem, Biomass, Photosystem II Protein Complex, Lipid Metabolism, Biofuels, Microalgae
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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