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优化流式细胞术参数,实现丝状真菌里氏木霉孢子的高通量筛选。

Optimization of flow cytometry parameters for high-throughput screening of spores of the filamentous fungus Trichoderma reesei.

机构信息

IFP Energies nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France.

IFP Energies nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France.

出版信息

J Biotechnol. 2020 Sep 10;321:78-86. doi: 10.1016/j.jbiotec.2020.05.015. Epub 2020 Jun 30.

DOI:10.1016/j.jbiotec.2020.05.015
PMID:32619643
Abstract

Flow cytometry (FCM) is a powerful technique still little used to study filamentous fungi due to physical constraints: the hyphae are too large to enter the FCM fluidic system, unless spores can be analyzed at a very early stage of germination. The technique nevertheless has strong potential for the study of these micro-organisms (spore sorting, viability, characterization etc.). This study focused on the investigation of several parameters, ranging from germination and storage conditions of T. reesei spores through to FCM gating, to detect their fluorescence during the first 24 h of germination. Fluorescent spores were first obtained after aerobic germination at 25 °C and monitored over 24 h using FCM, to screen for nine promoters controlling a green fluorescent protein gene. The fluorescence signal (FL1) was then acquired, in addition to the growth characterization of the spores, based on the size signal or Forward Scatter (FSC). They were combined to identify the best candidate(s) from among the nine promoters for the strongest- and earliest-possible fluorescence emission, which resulted in the following ranking: pTEF > pPKI > pGPD > pPDC. There are numerous possible applications of this work, ranging from molecular biology to monitoring fermentation.

摘要

流式细胞术(FCM)是一种强大的技术,但由于物理限制,在研究丝状真菌方面应用较少:由于菌丝太大,无法进入 FCM 流体系统,除非可以在孢子萌发的早期阶段分析孢子。然而,该技术对于这些微生物的研究具有很强的潜力(孢子分选、活力、特征描述等)。本研究重点研究了几个参数,从 T. reesei 孢子的萌发和储存条件到 FCM 门控,以检测其在萌发的前 24 小时内的荧光。首先在 25°C 下进行需氧萌发,获得荧光孢子,并通过 FCM 监测 24 小时,以筛选控制绿色荧光蛋白基因的九个启动子。然后,除了基于大小信号或前向散射(FSC)的孢子生长特征外,还获得荧光信号(FL1)。将它们结合起来,从九个启动子中确定最强和最早发出荧光的最佳候选启动子,结果如下:pTEF>pPKI>pGPD>pPDC。这项工作有许多可能的应用,从分子生物学到发酵监测。

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