Additional file 1: of Whole metagenome profiles of particulates collected from the International Space Station
Creators: name: Be, Nicholas
name: Avila-Herrera, Aram
name: Allen, Jonathan
name: Nitin Singh
name: Sielaff, Aleksandra Checinska
name: Jaing, Crystal
name: Kasthuri Venkateswaran
Publisher: name: Figshare
Year: 2017
Subjects: subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: FOS: Health sciences
subject: 60506 Virology

description: Figure S1. Sequence reads obtained from ISS and SAF samples were uniquely mapped to microorganisms at species-level resolution using the LMAT platform. Figure S2. Comparison of the microbial profile represented by the top 100 microbial species observed in each total and viable (PMA-treated) sample. Figure S3. Taxonomic network map showing common taxa between PMA-treated samples. Sequence data were aligned to reference sequence using DIAMOND, and class-level nodes visualized in a network plot. Figure S4. Genus level distribution of sequence data for PMA-treated ISS filter sample, as determined by DIAMOND mapping for taxonomic network analysis. Figure S5. Genus level distribution of sequence data for PMA-treated ISS dust sample, as determined by DIAMOND mapping for taxonomic network analysis. Figure S6. Genus level distribution of sequence data for PMA-treated SAF dust sample, as determined by DIAMOND mapping for taxonomic network analysis. Figure S7. Simplified variant analysis workflow. For each sample, metagenomic reads extracted from LMAT are aligned to a putative representative reference genome and variants are identified using Snippy [33] [Seemann T: snippy: Rapid bacterial SNP calling and core genome alignments; 2015: https://github.com/tseemann/snippy/releases/tag/v3.1 .] (See Methods). Figure S8. Antimicrobial resistance gene categories detected in both total and viable (PMA-treated) ISS and SAF samples. Microbial genes uniquely identified by LMAT above the specified read match threshold were screened against the Comprehensive Antimicrobial Resistance Database (CARD). Figure S9. Virulence gene categories detected in both total and viable (PMA-treated) ISS and SAF samples. Figure S10. Sequence reads mapped to Aspergillus by LMAT were aligned to Aspergillus reference genomes, shown along the horizontal axis. Figure S11A. Sequence reads mapped to Bacillus by LMAT were aligned to Bacillus reference genomes, shown along the horizontal axis. Figure S11B. Sequence reads mapped to Bacillus by LMAT were aligned to Bacillus reference genomes, shown along the horizontal axis. Figure S11C. Sequence reads mapped to Bacillus by LMAT were aligned to Bacillus reference genomes, shown along the horizontal axis. Figure S12. Sequence reads mapped by LMAT to Corynebacterium were identified. (DOCX 3758 kb)