Work

A comprehensive metagenomics framework to characterize organisms relevant for planetary protection

Year: 2021
Type: article
Abstract: BACKGROUND: Clean 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. RESULTS: A 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. CONCLUSIONS: Although 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.
Source: Microbiome
Language: English
Open Access status: gold
Estimated APC paid: $4,170
Awards: G1575842294, (1) SUMMARYMASSIVELY PARALLEL DNA SEQUENCING CONTINUES TO PROVIDE ASTONISHING INSIGHTS INTO THE REGULATORY COMPLEXITY OF THE MAMMALIAN GENOME REVEALING HERITABLE AND DE NOVO OCCURRING RISK FACTORS PREDISPOSING HUMANS TO A WIDE VARIETY OF DISEASES AND DISORDERS. NOTABLY MEMBERS OF THE ENCYCLOPEDIA OF DNA ELEMENTS (ENCODE) CONSORTIUM INCLUDING CO-INVESTIGATORS DRS. MASON AND SNYDER HAVE RECENTLY MAPPED THOUSANDS OF NON-CODING REGULATORY ELEMENTS IN THE HUMAN GENOME THAT SPECIFY RISK AND PROTECTIVE SITES FOR MANY DISEASE. THESE NONCODING GENETIC VARIATIONS ALSO SHOW DIFFERENTIAL IMPACT DEPENDING ON THE EPIGENETIC CHANGES OF THE GENOME INCLUDING METHYLATION OF DNA AND CHROMATIN STATES INSIDE CELLS. YET THESE QUESTIONS HAVE NOT BEEN COMPREHENSIVELY EXAMINED IN HUMAN ASTRONAUTS DUE TO THE FACT THAT THE VERY FIRST DATA SETS THAT CAN DELINEATE THE PUTATIVE IMPACT OF GENOME-WIDE NONCODING VARIATION AND EPIGENETIC CHANGES FROM SPACE TRAVEL ARE ONLY NOW BEING GENERATED IN THE NASA TWINS STUDY.HOWEVER WITH THIS DATA FROM NASA TWINS STUDY THERE IS A UNIQUE OPPORTUNITY TO BOTH GENERATE NEW COMPUTATIONAL TOOLS FOR THE INTEGRATION OF THE DATA FROM THESE SAMPLES AND ALSO TO UTILIZE NOVEL SINGLE-CELL APPROACHES FOR EPIGENETIC STATES IN THE HUMAN CELLS TAKEN FROM SPACE. WE PROPOSE TO EXPAND AND FURTHER INTEGRATE OUR TOOLS FOR EXAMINING THE REGULATORY CHANGES TO DNA AND RNA TOGETHER CALLED "EPISUITE " WHICH WILL PROVIDE LONG-SOUGHT SOLUTIONS TO PROBLEMS IN INTEGRATIVE GENOMICS AND ESTABLISH A MORE SYSTEMS-LEVEL VIEW OF HUMAN PHYSIOLOGY DURING SPACE TRAVEL. SPECIFICALLY WE WILL OPTIMIZE AND INTEGRATE OPEN-SOURCE AND PUBLISHED BIOINFORMATICS TOOLS BETWEEN BOTH LABORATORIES (HUGE-SEQ METHYLKIT EDMR R-MAKE) EXPAND OUR CODE BASE WITH TWO NEW TOOLS (METHCLONE AND CEMBASE) AND THEN CREATE A WEB-INTERFACE FOR USERS TO UPLOAD ORGANIZE AND ANALYZE THESE DATA RELATIVE TO ENCODE PUBLIC DATA. THEN WE WILL USE NOVEL SINGLE-CELL EXPERIMENTAL METHODS (SCATAC-SEQ) TO CONFIRM AND CHARACTERIZE THE IMPACT AND SCOPE OF SUCH NONCODING AND EPIGENETIC CHANGES. TOGETHER THE DATA AND TOOLS IN EPISUITE CONCOMITANT WITH THE NEW SINGLE-CELL CHROMATIN DATA WILL ENABLE DISCOVERY AND VALIDATION OF SPECIFIC LOCI THAT REPRESENT THE GENETIC AND EPIGENETIC RISKS FACED BY ASTRONAUTS AND ALSO AN IMPROVED UNDERSTANDING OF THE REGULATORY AND GENETIC IMPACT (BMED5) OF THESE MOLECULAR CHANGES.(2) HYPOTHESISWE HYPOTHESIZE THAT SPECIFIC AREAS OF THE GENOME ARE EPIGENETICALLY DYSREGULATED AS A RESULT OF SPACE TRAVEL AND THAT SOME OF THESE AREAS DIFFER BETWEEN ASTRONAUTS. MOREOVER WE HYPOTHESIZE THAT THE ENRICHMENT OF NON-CODING VARIANTS IN DISTINCT BIOLOGICAL PATHWAYS WILL ALSO DIFFER BETWEEN ASTRONAUTS AND ANALYSIS AND INTEGRATION OF THESE DATA WILL REVEAL THE FIRST REGIONS OF "EPIGENETIC SPACE RISK" FOR THE ASTRONAUTS DELINEATED IN BMED5. TO VALIDATE THESE PREDICTIONS WE WILL PERFORM SINGLE-CELL ATAC-SEQ (ASSAY FOR TRANSPOSASE ACCESSIBLE CHROMATIN) ON CELL FRACTIONS FROM EARTH-BASED CONTROL SAMPLES AND THOSE TAKEN FROM SPACE.(3) SPECIFIC AIMSAIM 1. CREATE A WEB-BASED FRAMEWORK FOR INTEGRATING NON-CODING GENOMIC VARIATION AND DIFFERENTIAL EPIGENETIC STATES. THIS EPISUITE INTERFACE AND SET OF MACHINE-LEARNING ALGORITHMS WILL HELP ONGOING WORK WITH THE NASA TWINS STUDY AND AID FUTURE INVESTIGATIONS THAT LEVERAGE MULTI-OMICS DATA SETS FROM ASTRONAUTS. THESE DATA WILL ALSO BE LINKED TO GENE EXPRESSION DATA TO GAUGE THE IMPACT OF GENETIC AND EPIGENETIC CHANGES ON SPECIFIC BIOLOGICAL NETWORKS.AIM 2. VALIDATE THE ALTERED CHROMATIN STATES IN CELLS FROM SPACE TRAVEL AND MEASURE THE PROPORTION OF CELLS CHANGED WITH SINGLE-CELL ATAC-SEQ. WE WILL USE AN ASSAY CALLED SINGLE CELL (SCATAC-SEQ) WHICH CAN MEASURE THE SITES OF OPEN AND CLOSED CHROMATIN ON A CELL-BY-CELL BASIS. THIS WILL VALIDATE THE SITES WHERE WE OBSERVE EPIGENETIC CHANGES AND ALSO PROVIDE THE FIRST ESTIMATE OF THE PROPORTION OF CELLS EPIGENETICALLY IMPACTED BY SPACE TRAVEL., NEXT-GENERATION SEQUENCING (NGS) TECHNOLOGIES HAVE RECENTLY BEEN USED TO DETECT AND CLASSIFY EPIGENETIC CHANGES AT AN UNPRECEDENTED LEVEL. EPIGENETIC, Scalable Genome Graph Data Structures for Metagenomics and Genome Annotation, Community Research Education and Engagement for Data Science (CREEDS), Study of Neural Tube Defects Etiology: Genome and Exposome, The Spatiotemporal Landscape of the Human Brain Epitranscriptome, G5052267337, G5594834694, Joan & Sanford I. Weill Medical College of Cornell University - to monitor the spread of antimicrobial resistance by generating a global map of bacterial species, resistance genes and markers, and modified bases..., EAGER: Novel Computational Models and Algorithms for Mapping Link-Read Sequencing Data, G6557465867, Research - Weill Cornell Medical College (2015), G9000147831, G9000278277, Tri-Institutional Training Program in Computational Biology and Medicine
OpenAlex ID: W3143322205
FWCI: 2.955
Cites: 63
Cited by: 31
Related to: 10