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. 2020 Sep 24;9(39):e00942-20. doi: 10.1128/MRA.00942-20

Draft Genome Sequences of Lactobacillales Isolated from the International Space Station

Achintya R Bharadwaj a, Nitin K Singh a, Jason M Wood a, Marilyne Debieu b, Niamh B O’Hara b,c, Fathi Karouia d,e, Christopher E Mason f, Kasthuri Venkateswaran a,
Editor: Julie C Dunning Hotoppg
PMCID: PMC7516158  PMID: 32972947

Nineteen strains from the order Lactobacillales were isolated from the International Space Station and commercial resupply vehicle, and whole-genome sequences (WGS) were generated. WGS would permit the characterization of these potentially pathogenic bacteria that have been adapting to the extreme conditions of the space environment.

ABSTRACT

Nineteen strains from the order Lactobacillales were isolated from the International Space Station and commercial resupply vehicle, and whole-genome sequences (WGS) were generated. WGS would permit the characterization of these potentially pathogenic bacteria that have been adapting to the extreme conditions of the space environment.

ANNOUNCEMENT

The order Lactobacillales consists of Gram stain-positive, facultative anaerobes validly described by Ludwig et al. (1). Members of the genus Enterococcus are found to possess human pathogenicity characteristics such as antibiotic resistance (2) and therefore pose health concerns for those on Earth and astronauts residing in the International Space Station (ISS). However, Aerococcus urinaeequi, a nonpathogenic strain, was first isolated from horse urine (3). Astronauts on long flights are immunocompromised due to microgravity-induced physiological and mental stress. Decreased immune response allows bacteria to take growth advantage due to their adaptability potential in the space environment (4). Understanding the genomic makeup of these potential pathogens will help the development of suitable countermeasure and mitigation strategies. Members of the order Lactobacillales isolated from the ISS and the commercial resupply vehicle (CRV) surfaces were Enterococcus faecalis, Enterococcus faecium, and Aerococcus urinaeequi (5, 6). E. faecalis and E. faecium have been reported as nosocomial isolates harboring vancomycin and ampicillin resistance (5). A. urinaeequi was isolated from a chronic kidney disease patient and has also been reported to be resistant to vancomycin (6). Further characterization of the whole-genome sequences (WGS) of these ISS environmental strains, including virulence genes, and subsequent confirmation in animal models are required to decipher their potential pathogenicity.

The strains used for the WGS were collected from three different ISS locations across two flights and seven different surface locations, including one field control on CRV6, and are detailed in Table 1 (7). The samples collected from the ISS were brought back to Earth and aseptically processed, and suitable aliquots of the sample concentrate (100 μl) were plated onto Reasoner’s 2A (R2A) or Trypticase soy agar (TSA) medium and incubated at 25°C for 7 days. A single well-isolated colony on a culture plate was archived at −80°C. Genomic DNA was extracted from the overnight-grown cultures on TSA medium using a ZymoBIOMICS DNA MagBead kit according to the manufacturer’s instructions.

TABLE 1.

Metadata and genome statistics of Aerococcus and Enterococcus strains isolated from various ISS and CRV6 environmental surfaces during the Microbial Tracking-1 Flight Projecta

Sample name ANI (%)b GenBank accession no. Raw sequence accession no. Flight no./locationc Location description No. of contigs Genome size (bp) N50 (bp) Median sequencing depth (×) No. of QC reads No. of raw reads G+C content (%)
151250015-1-258-55 96(A) JACGAN000000000 SRR12341118 F1-1 Cupola 35 1,981,406 130,552 282.59 6,701,742 3,361,020 39.5
151250015-2-258-56 96(A) JACGAM000000000 SRR12341117 F1-2 WHC 36 1,981,307 130,552 645.54 15,523,394 7,803,035 39.5
151250009-4-258-51 96(A) JACGAO000000000 SRR12341119 F1-4 Dining table 38 1,981,891 130,552 885.27 20,960,030 10,516,330 39.5
IIF2*SW-B2 99(B) JACDPC000000000 SRR12341307 F2-2 WHC 26 2,928,643 679,975 736.61 22,911,864 11,494,983 37.4
IIF2SG-B4 99(B) JACDPE000000000 SRR12341300 CRV6-2 Outside capsule 29 2,926,313 293,834 499.55 15,063,826 7,552,409 37.4
IIF3SG-B2 99(B) JACDPF000000000 SRR12341299 CRV6-3 Outside capsule 20 2,948,392 1,487,444 600.00 19,513,428 9,781,100 37.3
IIF4SG-B3 99(B) JACDPG000000000 SRR12341298 CRV6-4 Inside capsule 24 2,928,137 352,081 559.82 17,637,974 8,849,109 37.4
IIF4SG-B5 99(B) JACDPH000000000 SRR12341297 CRV6-4 Inside capsule 22 2,929,029 680,116 675.00 21,186,826 10,633,808 37.4
IIF5SG-B2 99(B) JACDPI000000000 SRR12341296 CRV6-5 Inside capsule 27 2,926,858 293,439 467.41 13,779,006 6,902,599 37.4
IIF6SG-B1 99(B) JACDPJ000000000 SRR12341295 CRV6-6 Inside capsule 21 2,928,522 680,116 673.66 20,619,150 10,336,467 37.4
IIF6SG-B2 99(B) JACDPK000000000 SRR12341294 CRV6-6 Inside capsule 23 2,928,581 352,365 835.71 25,542,378 12,807,968 37.4
IIF6SG-B4 99(B) JACDPL000000000 SRR12341293 CRV6-6 Inside capsule 21 2,928,384 679,976 811.61 24,973,062 12,536,216 37.4
IIF7SG-B2 99(B) JACDPM000000000 SRR12341305 CRV6-7 Inside capsule 19 2,948,759 1,487,531 595.98 19,817,626 9,946,584 37.3
IIF7SG-B3 99(B) JACDPN000000000 SRR12341304 CRV6-7 Inside capsule 21 2,928,555 680,118 523.66 16,480,536 8,263,734 37.4
IIF8SG-B1 99(B) JACDPO000000000 SRR12341303 CRV6-8 Inside capsule 20 2,948,399 1,487,531 543.75 17,797,982 8,925,021 37.3
IIF8SG-B2 99(B) JACDPP000000000 SRR12341302 CRV6-8 Inside capsule 30 2,926,820 293,834 570.54 16,894,654 8,447,267 37.4
IIF8SG-B3 99(B) JACDPQ000000000 SRR12341301 CRV6-8 Inside capsule 20 2,948,924 1,487,531 495.54 16,544,212 8,303,048 37.3
IIFCSG-B3 99(B) JACDPD000000000 SRR12341306 CRV6-FC Field control 30 2,926,028 293,439 570.54 17,408,136 8,727,751 37.4
IIFCSG-B5 95(C) JACGAP000000000 SRR12341224 CRV6-FC Field control 71 2,821,574 91,275 866.52 28,642,870 14,378,989 38.0
a

Abbreviations: ANI, average nucleotide identity; F1, ISS flight 1; F2, ISS flight 2; WHC, waste and hygiene compartment; FC, field control (a sampling wipe was exposed to the air for 120 s at the center of CRV6); QC, quality control.

b

The 16S rRNA gene sequences were retrieved from the WGS, and BLAST analysis was conducted against type strains of all 16S rRNA sequences in the NCBI database. The bacterial species identity was determined when the queried sequence showed >97.5% similarity with the 16S rRNA gene sequences of the type strain. The WGS of the nearest neighbor was further selected for ANI evaluation: A, A. urinaeequi DSM 20341T; B, E. faecalis DSM 20478T; C, E. faecium DSM 20477T.

c

Hyphenated designations indicate the flight number followed by the location; for example, F1-1 indicates flight 1 and location 1.

The WGS of 19 bacterial isolates were prepared using the Illumina Nextera Flex protocol for library preparation, as used in similar studies (8). The NovaSeq 6000 S4 flow cell paired-end 2 × 150-bp platform was used to execute paired-end sequencing. FastQC v0.11.7 was used to validate the quality of the raw sequencing data (9). Adapter trimming and quality filtering were carried out using the software fastp v0.20.0 to perform quality control (10). The cleaned sequences were assembled using SPAdes v3.11.1 (11). The N50 values, numbers of contigs, and total genome lengths were generated using QUAST v5.0.2 and used to assess the quality of the final assembly (12). The average nucleotide identity was calculated by comparing all strains with their respective type strains, and their taxonomic affiliations, as well as genome statistics, are given in Table 1 (13). The NCBI Prokaryotic Genome Annotation Pipeline v4.12 was used for genome annotation. Default parameters were used for all software.

Data availability.

This WGS project has been deposited at DDBJ/ENA/GenBank, and the accession numbers are given in Table 1 (BioProject accession no. PRJNA645454 with 16 strains and PRJNA649272 with 3 strains). The versions described in this paper are the first versions.

ACKNOWLEDGMENTS

Part of the research described in this publication was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. We thank astronauts Captain Terry Virts for collecting samples aboard the ISS and the implementation team at NASA Ames Research Center for coordinating this effort. We thank Ryan Kemp (Zymo Corporation) for extracting DNA and Dan Butler (Cornell Medicine) for generating shotgun sequencing using NovaSeq.

Government sponsorship is acknowledged. This research was funded by a 2012 Space Biology NNH12ZTT001N grant (no. 19-12829-26) under task order NNN13D111T awarded to K.V., which also funded a postdoctoral fellowship for J.M.W., and a subcontract to Biotia, Inc.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

This WGS project has been deposited at DDBJ/ENA/GenBank, and the accession numbers are given in Table 1 (BioProject accession no. PRJNA645454 with 16 strains and PRJNA649272 with 3 strains). The versions described in this paper are the first versions.


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