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Title: Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station

Abstract

The International Space Station (ISS) is a unique and complex built environment with the ISS surface microbiome originating from crew and cargo or from life support recirculation in an almost entirely closed system. The Microbial Tracking 1 (MT-1) project was the first ISS environmental surface study to report on the metagenome profiles without using whole-genome amplification. The study surveyed the microbial communities from eight surfaces over a 14-month period. The Microbial Tracking 2 (MT-2) project aimed to continue the work of MT-1, sampling an additional four flights from the same locations, over another 14 months. Eight surfaces across the ISS were sampled with sterile wipes and processed upon return to Earth. DNA extracted from the processed samples (and controls) were treated with propidium monoazide (PMA) to detect intact/viable cells or left untreated and to detect the total DNA population (free DNA/compromised cells/intact cells/viable cells). DNA extracted from PMA-treated and untreated samples were analyzed using shotgun metagenomics. Samples were cultured for bacteria and fungi to supplement the above results. Staphylococcus sp. and Malassezia sp. were the most represented bacterial and fungal species, respectively, on the ISS. Overall, the ISS surface microbiome was dominated by organisms associated with the human skin. Multi-dimensionalmore » scaling and differential abundance analysis showed significant temporal changes in the microbial population but no spatial differences. The ISS antimicrobial resistance gene profiles were however more stable over time, with no differences over the 5-year span of the MT-1 and MT-2 studies. Twenty-nine antimicrobial resistance genes were detected across all samples, with macrolide/lincosamide/streptogramin resistance being the most widespread. Metagenomic assembled genomes were reconstructed from the dataset, resulting in 82 MAGs. Functional assessment of the collective MAGs showed a propensity for amino acid utilization over carbohydrate metabolism. Co-occurrence analyses showed strong associations between bacterial and fungal genera. Culture analysis showed the microbial load to be on average 3.0 × 105 cfu/m2. Utilizing various metagenomics analyses and culture methods, we provided a comprehensive analysis of the ISS surface microbiome, showing microbial burden, bacterial and fungal species prevalence, changes in the microbiome, and resistome over time and space, as well as the functional capabilities and microbial interactions of this unique built microbiome. Data from this study may help to inform policies for future space missions to ensure an ISS surface microbiome that promotes astronaut health and spacecraft integrity.« less

Authors:
 [1];  [2];  [2];  [3];  [4];  [5];  [2]; ORCiD logo [1]
  1. California Institute of Technology (CalTech), Pasadena, CA (United States)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. NASA Ames Research Center (ARC), Moffett Field, Mountain View, CA (United States); Univ. of California, San Francisco, CA (United States)
  4. NASA Ames Research Center (ARC), Moffett Field, Mountain View, CA (United States)
  5. NASA-Johnson Space Center, Houston, TX (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1881622
Report Number(s):
LLNL-JRNL-827262
Journal ID: ISSN 2049-2618; 1042242
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Microbiome
Additional Journal Information:
Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 2049-2618
Publisher:
BioMed Central
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; International Space Station; Microbial monitoring; Microbiome; Metagenomics; Microbial tracking; Built environment

Citation Formats

Urbaniak, Camilla, Morrison, Michael D., Thissen, James B., Karouia, Fathi, Smith, David J., Mehta, Satish, Jaing, Crystal, and Venkateswaran, Kasthuri. Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station. United States: N. p., 2022. Web. doi:10.1186/s40168-022-01293-0.
Urbaniak, Camilla, Morrison, Michael D., Thissen, James B., Karouia, Fathi, Smith, David J., Mehta, Satish, Jaing, Crystal, & Venkateswaran, Kasthuri. Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station. United States. https://doi.org/10.1186/s40168-022-01293-0
Urbaniak, Camilla, Morrison, Michael D., Thissen, James B., Karouia, Fathi, Smith, David J., Mehta, Satish, Jaing, Crystal, and Venkateswaran, Kasthuri. Wed . "Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station". United States. https://doi.org/10.1186/s40168-022-01293-0. https://www.osti.gov/servlets/purl/1881622.
@article{osti_1881622,
title = {Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station},
author = {Urbaniak, Camilla and Morrison, Michael D. and Thissen, James B. and Karouia, Fathi and Smith, David J. and Mehta, Satish and Jaing, Crystal and Venkateswaran, Kasthuri},
abstractNote = {The International Space Station (ISS) is a unique and complex built environment with the ISS surface microbiome originating from crew and cargo or from life support recirculation in an almost entirely closed system. The Microbial Tracking 1 (MT-1) project was the first ISS environmental surface study to report on the metagenome profiles without using whole-genome amplification. The study surveyed the microbial communities from eight surfaces over a 14-month period. The Microbial Tracking 2 (MT-2) project aimed to continue the work of MT-1, sampling an additional four flights from the same locations, over another 14 months. Eight surfaces across the ISS were sampled with sterile wipes and processed upon return to Earth. DNA extracted from the processed samples (and controls) were treated with propidium monoazide (PMA) to detect intact/viable cells or left untreated and to detect the total DNA population (free DNA/compromised cells/intact cells/viable cells). DNA extracted from PMA-treated and untreated samples were analyzed using shotgun metagenomics. Samples were cultured for bacteria and fungi to supplement the above results. Staphylococcus sp. and Malassezia sp. were the most represented bacterial and fungal species, respectively, on the ISS. Overall, the ISS surface microbiome was dominated by organisms associated with the human skin. Multi-dimensional scaling and differential abundance analysis showed significant temporal changes in the microbial population but no spatial differences. The ISS antimicrobial resistance gene profiles were however more stable over time, with no differences over the 5-year span of the MT-1 and MT-2 studies. Twenty-nine antimicrobial resistance genes were detected across all samples, with macrolide/lincosamide/streptogramin resistance being the most widespread. Metagenomic assembled genomes were reconstructed from the dataset, resulting in 82 MAGs. Functional assessment of the collective MAGs showed a propensity for amino acid utilization over carbohydrate metabolism. Co-occurrence analyses showed strong associations between bacterial and fungal genera. Culture analysis showed the microbial load to be on average 3.0 × 105 cfu/m2. Utilizing various metagenomics analyses and culture methods, we provided a comprehensive analysis of the ISS surface microbiome, showing microbial burden, bacterial and fungal species prevalence, changes in the microbiome, and resistome over time and space, as well as the functional capabilities and microbial interactions of this unique built microbiome. Data from this study may help to inform policies for future space missions to ensure an ISS surface microbiome that promotes astronaut health and spacecraft integrity.},
doi = {10.1186/s40168-022-01293-0},
journal = {Microbiome},
number = 1,
volume = 10,
place = {United States},
year = {Wed Jun 29 00:00:00 EDT 2022},
month = {Wed Jun 29 00:00:00 EDT 2022}
}

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