Increased synthesis of α-tocopherol, paramylon and tyrosine by Euglena gracilis under conditions of high biomass production: Metabolites biosynthesis by E. gracilis
Abstract
AIMS: To analyse the production of different metabolites by dark-grown Euglena gracilis under conditions found to render high cell growth. METHODS AND RESULTS: The combination of glutamate (5 g l(-1) ), malate (2 g l(-1) ) and ethanol (10 ml l(-1) ) (GM + EtOH); glutamate (7·15 g l(-1) ) and ethanol (10 ml l(-1) ); or malate (8·16 g l(-1) ), glucose (10·6 g l(-1) ) and NH(4) Cl (1·8 g l(-1) ) as carbon and nitrogen sources, promoted an increase of 5·6, 3·7 and 2·6-fold, respectively, in biomass concentration in comparison with glutamate and malate (GM). In turn, the production of α-tocopherol after 120 h identified by LC-MS was 3·7 ± 0·2, 2·4 ± 0·1 and 2 ± 0·1 mg [g dry weight (DW)](-1) , respectively, while in the control medium (GM) it was 0·72 ± 0·1 mg (g DW)(-1) . For paramylon synthesis, the addition of EtOH or glucose induced a higher production. Amino acids were assayed by RP-HPLC; Tyr a tocopherol precursor and Ala an amino acid with antioxidant activity were the amino acids synthesized at higher concentration. CONCLUSIONS: Dark-grown E. gracilis Z is a suitable source for the generation of the biotechnologically relevant metabolites tyrosine, α-tocopherol and paramylon. SIGNIFICANCE AND IMPACT OF THE STUDY: By combining different carbon and nitrogen sources and inducing a tolerable stress to the cell by adding ethanol, it was possible to increase the production of biomass, paramylon, α-tocopherol and some amino acids. The concentrations of α-tocopherol achieved in this study are higher than others reported previously for Euglena, plant and algal systems. This work helps to understand the effect of different carbon sources on the synthesis of bio-molecules by E. gracilis and can be used as a basis for future works to improve the production of different metabolites of biotechnological importance by this organism.
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Euglena gracilis produces high concentrations of α-tocopherol (3.7 ± 0.2 mg/g).
“Rodriguez-Zavala et al. (2010) identified a microalga Euglena gracilis for producing high concentrations of α-tocopherol (3.7 ± 0.2 mg/g).”
From Microalgae Metabolites: A Rich Source for Food and Medicine (2019) · cites this paper as Rodriguez-Zavala et al. (2010)
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- Authors
- Rodríguez-Zavala, J. S., Ortiz-Cruz, M. A., Mendoza-Hernández, G., & Moreno-Sánchez, R.
- Affiliations
- Instituto Nacional de Cardiología (MX)
- Venue
- Journal of Applied Microbiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09-21
- Volume
- 109
- Issue
- 6
- Pages
- 2160-2172
- ISSN
- 1364-5072 (ISSN-L)
- OpenAlex
- W1877883339
- Cited by
- 133
- References
- 89
- Citations by year
- 2026: 12 · 2025: 5 · 2024: 10 · 2023: 6 · 2022: 8 · 2021: 16 · 2020: 9 · 2019: 13 · 2018: 10 · 2017: 13 · 2016: 10 · 2015: 9 · 2014: 5 · 2013: 2 · 2012: 2
- FWCI
- 1.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Microbiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Instituto de Ciencia y Tecnología del Distrito Federal
- Consejo Nacional de Ciencia y Tecnología
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Plant biochemistry and biosynthesis
- Keywords
- Euglena gracilis, alpha-tocopherol, paramylon, tyrosine, biomass production, carbon and nitrogen sources, ethanol stress, glutamate, malate, glucose, amino acid production, metabolite production
- MeSH terms
- Biotechnology, Culture Media, Euglena gracilis, Glucans, Glucose, Tyrosine, Biomass, alpha-Tocopherol
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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