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改良高通量尼罗红荧光分析法快速筛选以乙酸为碳源的产油酵母。

Modified high-throughput Nile red fluorescence assay for the rapid screening of oleaginous yeasts using acetic acid as carbon source.

机构信息

CBMA (Centre of Molecular and Environmental Biology), Department of Biology, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.

Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Braga, Portugal.

出版信息

BMC Microbiol. 2020 Mar 14;20(1):60. doi: 10.1186/s12866-020-01742-6.

DOI:10.1186/s12866-020-01742-6
PMID:32169040
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7071767/
Abstract

BACKGROUND

Over the last years oleaginous yeasts have been studied for several energetic, oleochemical, medical and pharmaceutical purposes. However, only a small number of yeasts are known and have been deeply exploited. The search for new isolates with high oleaginous capacity becomes imperative, as well as the use of alternative and ecological carbon sources for yeast growth.

RESULTS

In the present study a high-throughput screening comprising 366 distinct yeast isolates was performed by applying an optimised protocol based on two approaches: (I) yeast cultivation on solid medium using acetic acid as carbon source, (II) neutral lipid estimation by fluorimetry using the lipophilic dye Nile red.

CONCLUSIONS

Results showed that, with the proposed methodology, the oleaginous potential of yeasts with broad taxonomic diversity and variety of growth characteristics was discriminated. Furthermore, this work clearly demonstrated the association of the oleaginous yeast character to the strain level, contrarily to the species-level linkage, as usually stated.

摘要

背景

近年来,油脂酵母因其在能源、油脂化学、医学和制药等方面的多种用途而备受关注。然而,已知和深入开发的油脂酵母数量有限。因此,寻找具有高油脂生产能力的新分离株以及利用替代和生态碳源来促进酵母生长变得至关重要。

结果

本研究采用一种优化的基于两种方法的高通量筛选方案,对 366 株不同的酵母分离株进行了筛选:(I)使用乙酸作为碳源在固体培养基上进行酵母培养,(II)通过使用亲脂性染料尼罗红的荧光法来估计中性脂质。

结论

结果表明,通过所提出的方法,可以区分具有广泛分类多样性和多种生长特性的油脂酵母的油脂生产潜力。此外,这项工作还清楚地表明,与通常所指出的种水平关联相反,油脂酵母特性与菌株水平相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/8dbaf0d66308/12866_2020_1742_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/8dd269f4ae1c/12866_2020_1742_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/502b8e62fe1e/12866_2020_1742_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/8dbaf0d66308/12866_2020_1742_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/8dd269f4ae1c/12866_2020_1742_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/502b8e62fe1e/12866_2020_1742_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bc5/7071767/8dbaf0d66308/12866_2020_1742_Fig3_HTML.jpg

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