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高分辨率监测微藻-病毒感染动力学的新见解。

New Insights from the High-Resolution Monitoring of Microalgae-Virus Infection Dynamics.

机构信息

Algenuity Limited, Eden Laboratory, Broadmead Road, Stewartby MK43 9ND, UK.

Streatham Campus, College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QD, UK.

出版信息

Viruses. 2022 Feb 24;14(3):466. doi: 10.3390/v14030466.

Abstract

Investigation of virus-induced microalgal host lysis and the associated infection dynamics typically requires sampling of infected cultures at multiple timepoints, visually monitoring the state of infected cells, or determining virus titration within the culture media. Such approaches require intensive effort and are prone to low sensitivity and high error rates. Furthermore, natural physiological variations can become magnified by poor environmental control, which is often compounded by variability in virus stock efficacy and relatively long infection cycles. We introduce a new method that closely monitors host health and integrity to learn about the infection strategy of Chloroviruses. Our approach combines aspects of spectrometry, plaque assays, and infection dose assessment to monitor algal cells under conditions more representative of the natural environment. Our automated method exploits the continuous monitoring of infected microalgae cultures in highly controlled lab-scale photobioreactors that provide the opportunity for environmental control, technical replication, and intensive culture monitoring without external intervention or culture disruption. This approach has enabled the development of a protocol to investigate molecular signalling impacting the virus life cycle and particle release, accurate determination of virus lysis time under multiple environmental conditions, and assessment of the functional diversity of multiple virus isolates.

摘要

研究病毒诱导的微藻宿主裂解及其相关感染动力学通常需要在多个时间点采集感染培养物的样本,通过肉眼观察感染细胞的状态,或在培养介质中测定病毒效价。这些方法需要大量的工作,并且容易出现低灵敏度和高错误率的问题。此外,由于环境控制不佳,自然生理变化可能会被放大,而病毒库存效力的变异性和相对较长的感染周期又进一步加剧了这种情况。我们引入了一种新的方法,可以密切监测宿主的健康和完整性,以了解噬藻体的感染策略。我们的方法结合了光谱学、噬菌斑分析和感染剂量评估等方面的特点,以在更能代表自然环境的条件下监测藻类细胞。我们的自动化方法利用高度受控的实验室规模光生物反应器中感染微藻培养物的连续监测,为环境控制、技术复制和密集培养监测提供了机会,而无需外部干预或破坏培养物。这种方法使我们能够制定一个研究影响病毒生命周期和颗粒释放的分子信号的方案,在多种环境条件下准确确定病毒裂解时间,并评估多个病毒分离物的功能多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6ac/8954724/672ad540ce19/viruses-14-00466-g001a.jpg

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