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基于液滴的微流控平台用于抗丝状真菌的抗真菌分析。

Droplet-based microfluidics platform for antifungal analysis against filamentous fungi.

机构信息

Elvesys - Microfluidics Innovation Center, Elvesys, Paris, France.

出版信息

Sci Rep. 2021 Nov 26;11(1):22998. doi: 10.1038/s41598-021-02350-8.

Abstract

Fungicides are extensively used in agriculture to control fungal pathogens which are responsible for significant economic impact on plant yield and quality. The conventional antifungal screening techniques, such as water agar and 96-well plates, are based on laborious protocols and bulk analysis, restricting the analysis at the single spore level and are time consuming. In this study, we present a droplet-based microfluidic platform that enables antifungal analysis of single spores of filamentous fungus Alternaria alternata. A droplet-based viability assay was developed, allowing the germination and hyphal growth of single A. alternata spores within droplets. The viability was demonstrated over a period of 24 h and the antifungal screening was achieved using Kunshi/Tezuma as antifungal agent. The efficacy results of the droplet-based antifungal analysis were compared and validated with the results obtained from conventional protocols. The percentage inhibitions assessed by the droplet-based platform were equivalent with those obtained by the other two methods, and the Pearson correlation analysis showed high correlation between the three assays. Taken together, this droplet-based microfluidic platform provides a wide range of potential applications for the analysis of fungicide resistance development as well as combinatorial screening of other antimicrobial agents and even antagonistic fungi.

摘要

杀菌剂被广泛用于农业中以控制真菌病原体,这些病原体对植物的产量和质量造成了重大的经济影响。传统的抗真菌筛选技术,如水琼脂和 96 孔板,基于繁琐的方案和批量分析,限制了在单个孢子水平的分析,且耗时。在本研究中,我们提出了一种基于液滴的微流控平台,该平台能够对丝状真菌交链格孢菌的单个孢子进行抗真菌分析。开发了基于液滴的活力测定法,允许单个交链格孢菌孢子在液滴内萌发和菌丝生长。在 24 小时内证明了活力,并用昆氏/特祖马作为抗真菌剂进行了抗真菌筛选。将基于液滴的抗真菌分析的效果与从传统方案获得的结果进行了比较和验证。基于液滴的平台评估的抑制百分比与其他两种方法获得的结果相当,皮尔逊相关性分析显示三种检测方法之间具有高度相关性。总之,这种基于液滴的微流控平台为分析杀菌剂抗性的发展以及其他抗菌剂甚至拮抗真菌的组合筛选提供了广泛的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ee/8626470/0205996c51f6/41598_2021_2350_Fig1_HTML.jpg

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