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Label-free in vivo analysis of intracellular lipid droplets in the oleaginous microalga Monoraphidium neglectum by coherent Raman scattering microscopy

机译:相干拉曼散射显微镜对无油微藻念珠单胞菌中细胞内脂质滴的无标记体内分析

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摘要

Oleaginous photosynthetic microalgae hold great promise as non-food feedstocks for the sustainable production of bio-commodities. The algal lipid quality can be analysed by Raman micro-spectroscopy, and the lipid content can be imaged in vivo in a label-free and non-destructive manner by coherent anti-Stokes Raman scattering (CARS) microscopy. In this study, both techniques were applied to the oleaginous microalga Monoraphidium neglectum, a biotechnologically promising microalga resistant to commonly applied lipid staining techniques. The lipid-specific CARS signal was successfully separated from the interfering two-photon excited fluorescence of chlorophyll and for the first time, lipid droplet formation during nitrogen starvation could directly be analysed. We found that the neutral lipid content deduced from CARS image analysis strongly correlated with the neutral lipid content measured gravimetrically and furthermore, that the relative degree of unsaturation of fatty acids stored in lipid droplets remained similar. Interestingly, the lipid profile during cellular adaption to nitrogen starvation showed a two-phase characteristic with initially fatty acid recycling and subsequent de novo lipid synthesis. This works demonstrates the potential of quantitative CARS microscopy as a label-free lipid analysis technique for any microalgal species, which is highly relevant for future biotechnological applications and to elucidate the process of microalgal lipid accumulation.
机译:含油的光合作用微藻有望作为非食品原料用于可持续生产生物商品。藻类脂质的质量可以通过拉曼光谱进行分析,脂质含量可以通过相干抗斯托克斯拉曼散射(CARS)显微镜以无标记且无损的方式在体内成像。在这项研究中,这两种技术均应用于油性微藻neglectum neglectum,这是一种生物技术上对常用脂质染色技术具有抗性的微藻。脂质特异性CARS信号已成功地从叶绿素的双光子激发荧光中分离出来,并且首次可以直接分析氮饥饿期间脂质液滴的形成。我们发现,从CARS图像分析推断出的中性脂质含量与重量分析法测得的中性脂质含量密切相关,此外,脂质液滴中存储的脂肪酸的不饱和度的相对程度仍然相似。有趣的是,细胞对氮饥饿的适应过程中的脂质分布显示出两相特征,最初是脂肪酸再循环,随后是从头合成脂质。这项工作证明了定量CARS显微镜作为任何微藻物种的无标记脂质分析技术的潜力,这与未来的生物技术应用以及阐明微藻脂质积累的过程高度相关。

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