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Zhang Y, Li Z, Peng Y, Guo Z, Wang H, Wei T, Shakir Y, Jiang G, Deng Y. Microbiome in a ground-based analog cabin of China Space Station during a 50-day human occupation. ISME COMMUNICATIONS 2024; 4:ycae013. [PMID: 38495633 PMCID: PMC10942772 DOI: 10.1093/ismeco/ycae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/18/2024] [Accepted: 01/18/2024] [Indexed: 03/19/2024]
Abstract
Dead-corner areas in space station that untouched by the clean-up campaign often experience microorganisms outbreaks, but the microbiome of these areas has never been studied. In this study, the microbiome in a ground-based analog ``Tianhe'' core module of China Space Station was first investigated during a 50-day three-crew occupation. Dead-corner areas were receiving attention by adopting a new sampling method. Results indicate that the astronauts occupation did not affect the dominant bacteria community, but affected a small proportion. Due to the frequent activity of astronauts in the work and sleep areas, the biomarkers in these two areas are common human skin surface and gut microorganisms, respectively. For areas that astronaut rarely visits, the biomarkers in which are common environmental microbial groups. Fluorescence counting showed that 70.12-84.78% of bacteria were alive, with a quantity of 104-105 cells/100 cm2. With the occupation time extension, the number of microorganisms increased. At the same sampling time, there was no significant bioburden difference in various locations. The cultivable bioburden ranged from 101 to 104 colony forming unit (CFU)/100 cm2, which are the following eight genera Penicillium, Microsphaeropsis, Stachybotrys, Humicola, Cladosporium, Bacillus, Planomicrobium, and Acinetobacter. Chryseomicrobium genus may be a key focus for future microbial prevention and control work.
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Affiliation(s)
- Ying Zhang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Zhidong Li
- Office of International Business and Technology Application, Beijing Institute of Spacecraft System Engineering, Beijing 100094, China
| | - Yuan Peng
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Zimu Guo
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Hong Wang
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Tao Wei
- School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Yasmeen Shakir
- Department of Biochemistry, Hazara University, Mansehra 21120, Pakistan
| | - Guohua Jiang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Yulin Deng
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
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Lu Y, Yang J, Zhang L, Chen F, Han P, Fu Y. Characteristics of bacterial community and ARG profiles in the surface and air environments in a spacecraft assembly cleanroom. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 329:121613. [PMID: 37087089 DOI: 10.1016/j.envpol.2023.121613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/13/2023] [Accepted: 04/09/2023] [Indexed: 05/03/2023]
Abstract
Understanding the microbial communities and antibiotic resistance genes (ARGs) in spacecraft assembly cleanrooms is crucial for spacecraft microbial control and astronaut safety. However, there have been few reports of ARG profiles and their relationship with microbiomes in such environments. In the present study, we assessed the bacterial community and ARGs in the air dust and surface environments of a typical spacecraft assembly cleanroom. Our results show a significant difference in bacterial composition between surfaces and air dust, as they belong to two distinct ecostates. Bacillus and Acinetobacter were significantly enriched in the air samples. Bacterial community network analysis revealed lower topological parameters and robustness of bacterial networks in the air samples. We also observed different distribution patterns of some typical ARGs between surface and air dust samples. Notably, the ermB gene exhibited a relatively high copy number and was enriched in the surface environment, compared to that in the air. Overall, our study provides insight into the complex microbial community and the distribution and transfer of ARGs in spacecraft assembly cleanrooms, and offers important input for developing control strategies against ARGs.
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Affiliation(s)
- Yueying Lu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; International Joint Research Center of Aerospace Biotechnology & Medical Engineering, Beihang University, Beijing, 100083, China.
| | - Jianlou Yang
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; International Joint Research Center of Aerospace Biotechnology & Medical Engineering, Beihang University, Beijing, 100083, China.
| | - Lantao Zhang
- Institute of Manned Space System and Engineering, China Academy of Space Technology, Beijing, 100094, China.
| | - Fangqi Chen
- Shen Yuan Honors College, Beihang University, Beijing, 100191, China.
| | - Pei Han
- Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, 100094, China.
| | - Yuming Fu
- Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China; State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China; International Joint Research Center of Aerospace Biotechnology & Medical Engineering, Beihang University, Beijing, 100083, China.
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