| Literature DB >> 25130885 |
Nobuyasu Yamaguchi1, Michael Roberts, Sarah Castro, Cherie Oubre, Koichi Makimura, Natalie Leys, Elisabeth Grohmann, Takashi Sugita, Tomoaki Ichijo, Masao Nasu.
Abstract
Previous space research conducted during short-term flight experiments and long-term environmental monitoring on board orbiting space stations suggests that the relationship between humans and microbes is altered in the crewed habitat in space. Both human physiology and microbial communities adapt to spaceflight. Microbial monitoring is critical to crew safety in long-duration space habitation and the sustained operation of life support systems on space transit vehicles, space stations, and surface habitats. To address this critical need, space agencies including NASA (National Aeronautics and Space Administration), ESA (European Space Agency), and JAXA (Japan Aerospace Exploration Agency) are working together to develop and implement specific measures to monitor, control, and counteract biological contamination in closed-environment systems. In this review, the current status of microbial monitoring conducted in the International Space Station (ISS) as well as the results of recent microbial spaceflight experiments have been summarized and future perspectives are discussed.Entities:
Mesh:
Year: 2014 PMID: 25130885 PMCID: PMC4159036 DOI: 10.1264/jsme2.me14031
Source DB: PubMed Journal: Microbes Environ ISSN: 1342-6311 Impact factor: 2.912
Fig. 1Spaceflight surface, air, and water samples are collected and microbial colonies are enumerated during flight, while microbial identification is performed on the ground. Inflight sample collection activities include swabbing surfaces (A1), air sample collection using air sample equipment (A2), and collecting water from potable water sources (A3). Enumeration is performed on incubated samples that include contact slides from surface samples (B1), culture plates from air samples (B2), and colony growth on filter discs from water samples (B3).
NASA current microbial monitoring
| Sample Type | Media | Incubation Temp/Time |
|---|---|---|
| Pre-flight Air | TSA | TSA: incubation at 37°C for 48 h |
| Flight Air | TSA and SDA w/chloramphenicol plates | TSA and SDA plates incubated at ambient cabin temperature for 5 d |
| Pre-flight Surface | Sterile nuclease-free water-moistened swab into 3 mL of TSB | TSA incubated at 35°C±2°C for 48±2 h |
| Flight Surface | Collection using either a sterile saline-moistened swab onto a contact slide or direct sampling using a contact slide depending on the location | Contact slides (TSA or SDA w/chloramphenicol) incubated at ambient cabin temperature for 5 d |
| Pre-flight Water | R2A Milli-flex cassettes | R2A incubated at 35°C±2°C for 48±2 h |
| Flight Water | Microbial Capture Device with modified R3A broth; Coliform detection using Colisure Reagent | Microbial Capture Device and Coliform Detection bags incubated at ambient cabin temperature for 44±4 h |
SAS Super 180 Air sampler collecting for 1 min at 180 L min−1.
Modified portable impaction sampler (Burkard Manufacturing Co. Ltd., Hertfordshire, UK); 84.9 L sample collected.
Processed by filtration for heterotrophic plate counts and molecular identification.
the only water samples currently obtained are typically courtesy samples shared by ESA or JAXA.
TSA: Trypticase Soy Agar,
SDA: Sabouraud dextrose agar,
TSB: Trypticase Soy Broth,
PDA: potato dextrose agar
Fig. 2Adhesive sheet for microbial monitoring in the space habitat. 1. Photograph of the adhesive sheet; 2. Attach the adhesive area to the sampling site and press; 3. peel the adhesive sheet off the sampling site.
NASA preflight and inflight acceptability limits for air, water, and surface samples
| Sample | Air | Surface | Water |
|---|---|---|---|
| Preflight | 300 CFU m−3 Bacteria | 500 CFU 100 cm−2 Bacteria | 50 CFU mL−1 |
| 50 CFU m−3 Fungi | 10 CFU 100 cm−2 Fungi | No detectable coliforms | |
| Inflight | 1,000 CFU m−3 Bacteria | 10,000 CFU 100 cm−2 Bacteria | 50 CFU mL−1 |
| 100 CFU m−3 Fungi | 100 CFU 100 cm−2 Fungi | No detectable coliforms |
Fig. 3Temporal change in the colonization level of Malassezia in cheek skin samples from astronauts. The colonization level of Malassezia was determined using qPCR. Values show the average + standard deviation. Scale samples were collected before the visit to the ISS (pre-flight), during the stay in the ISS, and the return to earth (postflight).
Fig. 4The Rotating-Wall Vessel (RWV) Bioreactor. (A and B) Image of the NASA-designed RWV apparatus. (C) The altered positioning of the RWV resulting in two culture orientations, the arrows depict the directions of rotation. The low-shear modeled microgravity (LSMMG) environment is achieved by rotation of the RWV on an axis parallel to the ground, whereas the axis of rotation in the control orientation is perpendicular to the ground. (D) Depiction of the orbital path of a cell when cultured in the LSMMG orientation. The continued combination of the sedimentation effect, whereby gravity and a lack of motility cause a cell to settle to the bottom of the vessel, and the clock-wise solid body rotation of the media results in continuous suspension of the cell in an orbit. Modified from Castro, et al., 2011 (8).
Microbial responses to modeled microgravity
| Microorganism | Response to Modeled Microgravity within the RWV bioreactor | Reference |
|---|---|---|
|
Increased virulence in a mouse model, resistance to acid, thermal, and osmotic stresses, and macrophage survival Decreased LPS production, resistance to oxidative stress, and Hfq expression Differential gene expression | Nickerson, 2000 ( | |
|
Increased virulence in a mouse model and cellular invasion Differential gene expression | Chopra, 2006 ( | |
|
Increased biofilm formation and resistance to osmotic, ethanol, and antibiotic stresses | Lynch, 2006 ( | |
|
Increased intimin production | Carvalho, 2005 ( | |
|
Decreased growth Differential gene expression | Tucker, 2007 ( | |
|
Differential gene expression | Vukanti, 2008 ( | |
|
Increased resistance to thermal and oxidative stresses and adhesion to epithelial cells | Allen, 2008 ( | |
|
Increased biofilm formation, elastase, rhamnolipid, and alginate production; resistance to oxidative and thermal stress, and Hfq expression Differential gene expression | Crabbe, 2008 ( | |
|
Differential gene expression | Allen, 2006 ( | |
|
Increased biofilm formation and susceptibility to whole blood Decreased growth, carotenoid production, resistance to oxidative stress, and Hfq expression | Castro, 2011 ( | |
|
Decreased carotenoid production and hemolytic activity Differential gene expression | Rosado, 2010 ( | |
|
Increased growth and membrane integrity | Vukanti, 2012 ( | |
|
Decreased growth | Baker, 2005 ( | |
|
Increased growth | Baker, 2005 ( | |
|
Decreased Hela cell rounding | Lawal, 2010 ( | |
|
Increased antibiotic resistance Differential pigment production and protein expression | Dornmayr-Pfaffenhuemer, 2011 ( | |
|
Decreased cell aggregation Differential pigment production and protein expression | Dornmayr-Pfaffenhuemer, 2011 ( | |
|
Increased aberrant budding Differential gene expression | Purevdorj-Gage, 2006 ( | |
|
Increased filamentous growth, biofilm formation, antimicrobial resistance Differential gene expression | Altenburg, 2008 ( |
Fig. 5Details of the microfluidic device for on-chip staining and counting of bacterial cells (size: 5 cm × 2.5 cm). (i) Samples and fluorescent dye solution flow separately and are then mixed through the “mixing part” of the microchannel. (ii) Alignment of sample flow by sheath fluid. (iii) Flow of bacterial cells in the “detecting part” of the microchannel.