Effects of light quality on growth rates and pigments of Chaetoceros gracilis (Bacillariophyceae)

Li, Yongfu; Li, Ruiqian; Xiao, Yi

doi:10.1007/s00343-019-9171-0

Cited by 11 publications

(2 citation statements)

References 29 publications

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“…In this study, the growth rate of Isochrysis galbana shows a higher positive correlation with fucoxanthin yield ( R=0.78 ). This is consistent with previous studies showing a positive correlation of fucoxanthin yield with microalgal growth rate followed by biomass (Li et al 2020; Ishika et al 2019). Recently, Sequeira et al (2021) reviewed the positive influence of hydrogen bond donor chemicals on the yield of fucoxanthin from macroalgae as well as microalgae.…”

Section: Discussionsupporting

confidence: 93%

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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Section: Discussionsupporting

confidence: 93%

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 wavelength of light affects the physiological characteristics of algae. Irradiation with blue light has been shown to promote diatom growth (Holdsworth, 1985;Li et al, 2020;Shikata et al, 2009), whereas it adversely affects the growth of various cyanobacteria (Wyman & Fay, 1986), including M. aeruginosa (Khan et al, 2016;Tan et al, 2020), Pseudanabaena mucicola (Khatoon et al, 2018), Synechocystis PCC6803 (Bland & Angenent, 2016), Cyanobacterium aponinum (Meng et al, 2018), and Spirulina platensis (Chen et al, 2010;Wang et al, 2007). Luimstra et al (2018Luimstra et al ( , 2019 reported that growth is considerably reduced in the phycobilisome-containing cyanobacterium Synechocystis sp.…”

Section: Introductionmentioning

confidence: 99%

Blue light irradiation increases the relative abundance of the diatom Nitzschia palea in co‐culture with cyanobacterium Microcystis aeruginosa

Watanabe

Matsunami

Okuma

et al. 2022

Water Environment Research

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Lake eutrophication is associated with cyanobacterial blooms. The pennate diatom Nitzschia palea (N. palea) inhibits the growth of the cyanobacterium Microcystis aeruginosa (M. aeruginosa); therefore, increasing the relative abundance of N. palea may contribute to the inhibition of Microcystis blooms. Several studies have demonstrated that blue light irradiation promotes diatom growth and inhibits cyanobacterial growth. In this study, we evaluated the effects of blue light irradiation on N. palea and M. aeruginosa abundance. Monocultures and co-cultures of N. palea and M. aeruginosa were exposed to blue light and fluorescent light at 32 μmol photons m À2 s À1 . The relative abundance of N. palea under fluorescent light decreased gradually, whereas the abundance under blue light was relatively higher (approximately 74% and 98% under fluorescent light and blue light, respectively, at the end of the experiment). The inhibition efficiency of blue light on the growth rate of M. aeruginosa was related to the light intensity. The optimal light intensity was considered 20 μmol photons m À2 s À1 based on the inhibition efficiency of 100%. Blue light irradiation can be used to increase the abundance of N. palea to control Microcystis blooms. Practitioner Points • The effects of blue light irradiation on N. palea abundance was discussed.• Monocultures and co-cultures of N. palea and M. aeruginosa were exposed to blue light and to fluorescent light.• The relative abundance of N. palea increased upon irradiation with blue light in co-culture with M. aeruginosa.

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Effects of light spectra on growth and compositions of biomass, fatty acids, and pigments in three typical microalgae from different phyla

Kong,

Zhang,

Yang

et al. 2024

J. Ocean. Limnol.

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Effects of light quality on growth rates and pigments of Chaetoceros gracilis (Bacillariophyceae)

Cited by 11 publications

References 29 publications

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

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

Blue light irradiation increases the relative abundance of the diatom Nitzschia palea in co‐culture with cyanobacterium Microcystis aeruginosa

Effects of light spectra on growth and compositions of biomass, fatty acids, and pigments in three typical microalgae from different phyla

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