Evidence map›Paper›PMID 30809693›Full record

ArticleMicrobial ecology2019

Microbiomes of China's Space Station During Assembly, Integration, and Test Operations.

Ying Zhang, Lan-Tao Zhang, Zhi-Dong Li, Cong-Xin Xin, Xiao-Qiong Li, Xiang Wang, Yu-Lin Deng

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ying ZhangSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China. zhangying3409@bit.edu.cn.ORCID http://orcid.org/0000-0002-9387-3411
Lan-Tao ZhangInstitute of Manned Space System Engineering, China Academy of Space Technology, Beijing, 100094, China.
Zhi-Dong LiBeijing Institute of Spacecraft System Engineering, Beijing, 100094, China.
Cong-Xin XinSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Xiao-Qiong LiSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Xiang WangInstitute of Manned Space System Engineering, China Academy of Space Technology, Beijing, 100094, China. wangxiang0223@hotmail.com.
Yu-Lin DengSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China. deng@bit.edu.cn.

Funding

National Natural Science Foundation of China 31600404
6 · The paper itself

Abstract

Sufficient evidence indicates that orbiting space stations contain diverse microbial populations, which may threaten astronaut health and equipment reliability. Understanding the composition of microbial communities in space stations will facilitate further development of targeted biological safety prevention and maintenance practices. Therefore, this study systematically investigated the microbial community of China's Space Station (CSS). Air and surface samples from 46 sites on the CSS and Assembly Integration and Test (AIT) center were collected, from which 40 bacteria strains were isolated and identified. Most isolates were cold- and desiccation-resistant and adapted to oligotrophic conditions. Bacillus was the dominant bacterial genus detected by both cultivation-based and Illumina MiSeq amplicon sequencing methods. Microbial contamination on the CSS was correlated with encapsulation staff activities. Analysis by spread plate and qPCR revealed that the CSS surface contained 2.24 × 10

Indexed as

MicrobiotaBacteriaChinaDNA, BacterialHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSpacecraftDNA, BacterialRNA, Ribosomal, 16SChina’s Space StationCleanroom microbiotaConfined habitatIllumina MiSeqMicrobiome

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.