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Microbiological Investigation of the Space Dust Collected from the External Surfaces of the International Space Station

机译:从国际空间站外表面收集的空间尘埃的微生物研究

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The article presents results of the microbiological investigation conducted jointly by the Russian State Space Corporation ROSCOSMOS and the Russian Academy of Sciences. This study was aimed on detecting viable microorganisms on the outer surface of the International Space Station the during astronauts' extravehicular activities. A specific environment has developed around the International Space Station over the extended period of operation, which could possibly create conditions for the preservation of biological structures. To investigate this possibility, space dust was sampled from the surfaces of the Russian segment of the International Space Station by the TEST sampler during several spacewalk sessions. Microorganism culturing, detection, and subsequent microbial identification were carried out using both microbiological and molecular genetic methods. During the course of research investigation, viable spores of the microorganisms were periodically detected in the samples taken on the outer surface of the International Space Station. Among samples taken in 2016, a consortium of non-spore-forming bacteria was found on the outside of the porthole, which consisted of Agrococcus jenensis, Skermanella aerolata, Deinococcus aerolatus, and Staphylococcus hominis. The results of the space experiment TEST demonstrate the possibility of obtaining unique data on the preservation of the viable microorganisms in the natural conditions of open space at an altitude of 400 km from the Earth.
机译:本文介绍了俄罗斯国家空间公司Roscosmos和俄罗斯科院共同进行的微生物学调查的结果。本研究旨在检测国际空间站外表面的可行微生物,宇航员的崇拜活动。在延长的运营期间,在国际空间站周围开发了一个特定的环境,这可能会为保存生物学结构创造条件。为了调查这种可能性,在几个太空行走会话期间,测试采样器通过测试采样器从俄罗斯国际空间站的段的表面上采样空间灰尘。使用微生物和分子遗传学方法进行微生物培养,检测和随后的微生物鉴定。在研究调查过程中,在国际空间站外表面上的样品中定期检测到可行的微生物孢子。在2016年拍摄的样品中,在舷窗外面发现了非孢子形成细菌的联盟,其中包括乔治松,Skermanella Aerolata,Deinococcus Aerolatus和葡萄球菌Hominis。空间实验测试的结果表明,在距离地球400公里处的高度为400公里的公开空间的自然条件下,可以获得独特数据的可能性。

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