The influences of phytohormones on triacylglycerol accumulation in an oleaginous marine diatom Phaeodactylum tricornutum

Chu, Jinling; Li, Yan; Cui, Yulin; Qin, Song

doi:10.1007/s10811-018-1623-y

Cited by 13 publications

(3 citation statements)

References 35 publications

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“…Exogenous auxins (e.g., IAA and 2,4-dichlorophenoxyacetic acid) have been reported to promote cell growth in many microalgae species [ 16 , 20 , 26 ]. ABA treatment enhanced lipid productivity without hindering growth in Chlorella [ 17 ] and the oleaginous marine diatom [ 27 ]. In this study, 5 mg/L IAA, 10 mg/L IAA, 10 mg/L ABA and a combination of IAA and ABA (each 5 mg/L) were found to promote the FACHB-8 cell growth.…”

Section: Discussionmentioning

confidence: 99%

The Growth, Lipid Accumulation and Fatty Acid Profile Analysis by Abscisic Acid and Indol-3-Acetic Acid Induced in Chlorella sp. FACHB-8

Lin

Dai

et al. 2022

IJMS

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Microalgae are considered a promising source for biodiesel. The addition of plant hormone can exert a significant impact on the production of microalgae biomass and lipid accumulation. Nevertheless, the response of microalgae cells to hormones is species- or strain-dependent. It remains controversial which genes involved in strong increase of fatty acids production in response to abscisic acid (ABA) in Chlorella sp. FACHB-8 strain. We investigated cell growth, lipid accumulation, and fatty acid composition when ABA and indol-3-acetic acid (IAA) were used in the growth medium of Chlorella sp. FACHB-8. The four treatments, including 5 mg/L IAA (E1), 10 mg/L IAA (E2), 10 mg/L ABA (E3), the combination of 5 mg/L IAA and 5 mg/L ABA (E4), were found to increase cell growth, but only 10 mg/L ABA treatment could enhance the lipid accumulation. The fatty acid profile was changed by the addition of ABA, making fatty acids afflux from polyunsaturated fatty acids to monounsaturated and saturated fatty acids, which were suitable for diesel application. Furthermore, a transcriptome analysis was conducted, unraveling the differentially expressed genes enriched in fatty acid biosynthesis, fatty acid metabolism, and biosynthesis of the unsaturated fatty acid pathway in response to ABA. Our results clarified the correlation of fatty acid synthesis-related genes and fatty acid profiles, helping understand the potential response mechanism of Chlorella sp. FACHB-8 strain respond to ABA treatment.

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Section: Discussionmentioning

confidence: 99%

The Growth, Lipid Accumulation and Fatty Acid Profile Analysis by Abscisic Acid and Indol-3-Acetic Acid Induced in Chlorella sp. FACHB-8

Lin

Dai

et al. 2022

IJMS

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“…Then, the freshly prepared phytohormones were added to the flasks at specific concentrations ( Supplemental Table S1 ). The concentration of phytohormones was based on previous studies (Chu et al 2019; Fierli et al 2022; Mc Gee et al 2020). Each treatment employed three biological replicates.…”

Section: Methodsmentioning

confidence: 99%

Enhancing cellular production of fucoxanthin through machine learning assisted predictive approach inIsochrysis galbana

Manochkumar,

Jonnalagadda,

Cherukuri

et al. 2024

Preprint

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The marine microalgae, Isochrysis galbana is a prolific producer of fucoxanthin which is a xanthophyll carotenoid with substantial global market value boasting extensive applications in the food, nutraceutical, pharmaceutical, and cosmetic industries. Although supplementation of different phytohormones to medium enhances fucoxanthin production, the quantification of pigment by conventional means is time-consuming and labor-intensive. This study addressed the multiple methodological limitations of HPLC-based fucoxanthin quantification and emphasized the need to develop a Machine Learning (ML) model as optimization and precise prediction remain a challenging task. Hence, an integrated experimental approach coupled with ML models was employed to predict fucoxanthin yield by supplementation of various phytohormones. The accuracy of fucoxanthin prediction excluding and including hormone descriptors was compared and evaluated using the ML models namely Random Forest (RF), Linear Regression (LR), Artificial Neural Network (ANN), and Support Vector Machine (SVM). RF model provided the most accurate prediction excluding hormone descriptors with coefficient of determination (R^2=0.809) and root-mean-square error (RMSE=0.776) followed by the ANN model with (R^2=0.722) and (RMSE=0.937). The inclusion of hormone descriptors for training and pre-processing of data further improved the fucoxanthin prediction accuracy of the RF model to (R^2=0.839) and (RMSE=0.712) and ANN model to (R^2=0.738) and (RMSE=0.909). These results indicated that the combination of low-cost, Ultraviolet (UV) spectrometric-based fucoxanthin quantification coupled with ML algorithms can be efficiently used for reliable prediction and enhanced fucoxanthin production, therefore highlighting a promising approach and furnishing invaluable insights towards the commercialization of microalgal fucoxanthin production.

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“…Plant hormones are a class of small molecules that act as chemical messengers, coordinating cellular activities of higher plants (Voß et al, 2014), and regulate plant growth and development during cell division. Phytohormones play important roles in regulating plant responses to various biotic and abiotic stresses (Chu et al, 2018; Lu & Xu, 2015). For example, abscisic acid improves plant resistance to temperature and salt stress by controlling H 2 O and ion absorption in higher plant (George et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Exploration of the phytohormone regulation of energy storage compound accumulation in microalgae

Saud

Jiang

et al. 2022

Food and Energy Security

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Microalgal energy storage compounds (carbohydrates, lipids, etc.) can serve as renewable feedstocks for biofuels and biobased chemicals. Traditional methods of inducing the accumulation of energy storage compounds in microalgae, such as abiotic stress (high light intensity, high salinity, nutrient limitation, heavy metals, etc.), can affect the growth of microalgae and limit their efficient accumulation of energy storage materials. Plant hormones are a class of small molecular substances that act as chemical messengers to coordinate plant cell activities and regulate the physiological and metabolic activities of microalgae, including promoting microalgal cell proliferation, improving stress resistance, and enhancing photosynthetic activity, thereby increasing algal biomass and lipid, chlorophyll and protein content. This paper reviews the recent research progress on regulation of the accumulation of energy storage compounds in microalgae by adding exogenous plant hormones combined with abiotic stress, discusses the mechanism of plant hormones regarding the accumulation of energy storage compounds in microalgae, and proposes future research needs.

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The influences of phytohormones on triacylglycerol accumulation in an oleaginous marine diatom Phaeodactylum tricornutum

Cited by 13 publications

References 35 publications

The Growth, Lipid Accumulation and Fatty Acid Profile Analysis by Abscisic Acid and Indol-3-Acetic Acid Induced in Chlorella sp. FACHB-8

The Growth, Lipid Accumulation and Fatty Acid Profile Analysis by Abscisic Acid and Indol-3-Acetic Acid Induced in Chlorella sp. FACHB-8

Enhancing cellular production of fucoxanthin through machine learning assisted predictive approach inIsochrysis galbana

Exploration of the phytohormone regulation of energy storage compound accumulation in microalgae

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