Evidence map›Paper›PMID 33795001›Full record

ArticleMicrobiome2021

A comprehensive metagenomics framework to characterize organisms relevant for planetary protection.

David C Danko, Maria A Sierra, James N Benardini, Lisa Guan, Jason M Wood, Nitin Singh, Arman Seuylemezian, Daniel J Butler, Krista Ryon, Katerina Kuchin and 4 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

14 authors.

David C Danko *Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
Maria A Sierra *Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
James N BenardiniBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA.
Lisa GuanBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA.
Jason M WoodBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA.
Nitin SinghBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA.
Arman SeuylemezianBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA.
Daniel J ButlerTri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA.
Krista RyonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
Katerina KuchinTri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA.
Dmitry MeleshkoTri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA.
Chandrima BhattacharyaTri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA.
Kasthuri J VenkateswaranBiotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, 91109, USA. kasthuri.j.venkateswaran@jpl.nasa.gov.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA. chm2042@med.cornell.edu.ORCID 0000-0002-1850-1642

Funding

Supplement for MINI point-of-use deviceU01DA053941 · NIDA · UNIVERSITY OF MIAMI CORAL GABLES · PI MASON, CHRISTOPHER EDWARD, SCHURER, STEPHAN C · 2021 to 2022
$5.2M
The Spatiotemporal Landscape of the Human Brain EpitranscriptomeR01MH117406 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASON, CHRISTOPHER EDWARD · 2018 to 2022
$3.3M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
Study of Neural Tube Defects Etiology: Genome and ExposomeR01ES021006 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI FINNELL, RICHARD H., MASON, CHRISTOPHER EDWARD · 2012 to 2014
$1.0M
Community Research Education and Engagement for Data Science (CREEDS)R25EB020393 · NIBIB · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CLAUDIO, LUZ, KOVATCH, PATRICIA · 2015 to 2017
$578k
Mapping the RNA modification N6-methyladenosine during Zika virus infectionR21AI129851 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI HORNER, STACY MICHELLE, MASON, CHRISTOPHER EDWARD · 2017 to 2018
$469k
NIAID NIH HHS R21 AI129851NIBIB NIH HHS R25 EB020393NIDA NIH HHS U01 DA053941NIEHS NIH HHS R01 ES021006NIGMS NIH HHS T32 GM083937NIMH NIH HHS R01 MH117406
6 · The paper itself

Abstract

backgroundClean rooms of the Space Assembly Facility (SAF) at the Jet Propulsion Laboratory (JPL) at NASA are the final step of spacecraft cleaning and assembly before launching into space. Clean rooms have stringent methods of air-filtration and cleaning to minimize microbial contamination for exoplanetary research and minimize the risk of human pathogens, but they are not sterile. Clean rooms make a selective environment for microorganisms that tolerate such cleaning methods. Previous studies have attempted to characterize the microbial cargo through sequencing and culture-dependent protocols. However, there is not a standardized metagenomic workflow nor analysis pipeline for spaceflight hardware cleanroom samples to identify microbial contamination. Additionally, current identification methods fail to characterize and profile the risk of low-abundance microorganisms.

resultsA comprehensive metagenomic framework to characterize microorganisms relevant for planetary protection in multiple cleanroom classifications (from ISO-5 to ISO-8.5) and sample types (surface, filters, and debris collected via vacuum devices) was developed. Fifty-one metagenomic samples from SAF clean rooms were sequenced and analyzed to identify microbes that could potentially survive spaceflight based on their microbial features and whether the microbes expressed any metabolic activity or growth. Additionally, an auxiliary testing was performed to determine the repeatability of our techniques and validate our analyses. We find evidence that JPL clean rooms carry microbes with attributes that may be problematic in space missions for their documented ability to withstand extreme conditions, such as psychrophilia and ability to form biofilms, spore-forming capacity, radiation resistance, and desiccation resistance. Samples from ISO-5 standard had lower microbial diversity than those conforming to ISO-6 or higher filters but still carried a measurable microbial load.

conclusionsAlthough the extensive cleaning processes limit the number of microbes capable of withstanding clean room condition, it is important to quantify thresholds and detect organisms that can inform ongoing Planetary Protection goals, provide a biological baseline for assembly facilities, and guide future mission planning. Video Abstract.

Indexed as

MetagenomicsSpace FlightEnvironment, ControlledHumansMetagenomeSpacecraftExtremophileMicrobial profilingPlanetary ProtectionSpacecraft Assembly Facility

Identifiers

PMID33795001
PMCPMC8016160

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Registered trials

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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.