A fully automated pipeline for the dynamic at-line morphology analysis of microscale Aspergillus cultivation.

Q1 Agricultural and Biological Sciences Fungal Biology and Biotechnology Pub Date : 2021-03-06 DOI:10.1186/s40694-021-00109-4
Roman Jansen, Kira Küsters, Holger Morschett, Wolfgang Wiechert, Marco Oldiges
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引用次数: 6

Abstract

Background: Morphology, being one of the key factors influencing productivity of filamentous fungi, is of great interest during bioprocess development. With increasing demand of high-throughput phenotyping technologies for fungi due to the emergence of novel time-efficient genetic engineering technologies, workflows for automated liquid handling combined with high-throughput morphology analysis have to be developed.

Results: In this study, a protocol allowing for 48 parallel microbioreactor cultivations of Aspergillus carbonarius with non-invasive online signals of backscatter and dissolved oxygen was established. To handle the increased cultivation throughput, the utilized microbioreactor is integrated into a liquid handling platform. During cultivation of filamentous fungi, cell suspensions result in either viscous broths or form pellets with varying size throughout the process. Therefore, tailor-made liquid handling parameters such as aspiration/dispense height, velocity and mixing steps were optimized and validated. Development and utilization of a novel injection station enabled a workflow, where biomass samples are automatically transferred into a flow through chamber fixed under a light microscope. In combination with an automated image analysis concept, this enabled an automated morphology analysis pipeline. The workflow was tested in a first application study, where the projected biomass area was determined at two different cultivation temperatures and compared to the microbioreactor online signals.

Conclusions: A novel and robust workflow starting from microbioreactor cultivation, automated sample harvest and processing via liquid handling robots up to automated morphology analysis was developed. This protocol enables the determination of projected biomass areas for filamentous fungi in an automated and high-throughput manner. This measurement of morphology can be applied to describe overall pellet size distribution and heterogeneity.

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用于微尺度曲霉培养动态在线形态分析的全自动流水线。
背景:形态是影响丝状真菌生产力的关键因素之一,在生物工艺开发中具有重要意义。随着新型高效基因工程技术的出现,对真菌高通量表型技术的需求不断增加,必须开发结合高通量形态分析的自动化液体处理工作流程。结果:在本研究中,建立了48个平行微生物反应器培养碳曲霉的方案,该方案具有无创的反向散射和溶解氧在线信号。为了处理增加的培养吞吐量,所利用的微生物反应器被集成到一个液体处理平台。在丝状真菌的培养过程中,细胞悬浮液在整个过程中要么形成粘稠的肉汤,要么形成大小不一的颗粒。因此,定制的液体处理参数,如吸入/分配高度,速度和混合步骤进行了优化和验证。新型注射站的开发和利用实现了一个工作流程,其中生物质样品被自动转移到固定在光学显微镜下的流动室中。结合自动图像分析概念,这使自动形态学分析管道成为可能。该工作流程在第一次应用研究中进行了测试,在两种不同的培养温度下确定了预计的生物量面积,并与微生物反应器的在线信号进行了比较。结论:开发了一种新颖而稳健的工作流程,从微生物反应器培养,通过液体处理机器人自动采集和处理样品到自动形态学分析。该方案能够以自动化和高通量的方式确定丝状真菌的预计生物量区域。这种形态的测量可以应用于描述整体颗粒大小分布和不均一性。
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来源期刊
Fungal Biology and Biotechnology
Fungal Biology and Biotechnology Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
10.20
自引率
0.00%
发文量
17
审稿时长
9 weeks
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