German Aerospace Center (DLR), Institute of Aerospace Medicine, Radiation Biology Department, Space Microbiology Research Group, Cologne (Köln), Germany.
University of Bonn, Institute for Microbiology and Biotechnology (IfMB), Bonn, Germany.
Astrobiology. 2019 Oct;19(10):1211-1220. doi: 10.1089/ast.2018.2010. Epub 2019 Sep 5.
Microbial contamination of human-tended spacecraft is unavoidable, making the study of microbial growth under space conditions essential for the preservation of astronauts' health and equipment integrity. Previous studies suggested that spaceflight conditions, such as microgravity, cause a range of physiological microbial alterations including increased growth yields and decreased antibiotic susceptibility. Because of its fast generation time, could be used as a model organism for a variety of studies where generation time is a critical factor. In this study, was used as a tool to study growth characteristics by determining the viable cell number and antibiotic susceptibility under simulated microgravity using a 2-D clinostat (60 rpm) to establish a test system that resolves changes in microbial growth on a solid surface (agar) under microgravity. The data show that biomass increases significantly after 24 h at 37°C under simulated microgravity. The final cell population after cultivation under simulated microgravity was 60-fold greater than when cultivated under normal terrestrial gravity (1 × ). No change in susceptibility to the antibiotic rifampicin after cultivation under simulated microgravity or normal gravity was detected. These data show that is a new and innovative model organism for microbial microgravity research.
人类维护的航天器中不可避免地会有微生物污染，因此研究太空条件下微生物的生长对于保护宇航员的健康和设备完整性至关重要。先前的研究表明，太空飞行条件，如微重力，会导致一系列微生物生理变化，包括生长产量增加和抗生素敏感性降低。由于其快速的代时， 可以作为一个模型生物，用于各种代时是关键因素的研究。在这项研究中， 使用 2-D 回转仪（60rpm）模拟微重力，通过确定活细胞数和抗生素敏感性，将 作为工具来研究生长特性，建立了一个测试系统，解决了微生物在微重力下固体表面（琼脂）上生长的变化。数据显示， 在 37°C 模拟微重力下培养 24 小时后，生物量显著增加。在模拟微重力下培养后的最终细胞数是在正常地球重力（1×）下培养的 60 倍。在模拟微重力或正常重力下培养后，对抗生素利福平的敏感性没有变化。这些数据表明， 是微生物微重力研究的一种新的创新模型生物。
