ABSTRACT
Here, we present the complete genome sequences of 14 nontuberculous mycobacteria type strains. The addition of type strain data may provide a concrete basis for further research.
ANNOUNCEMENT
Nontuberculous mycobacteria (NTM) are generally found in the environment, and disease-causing NTM can affect various organs, especially the lungs. Several new species are registered as NTM every year; however, their whole-genome data are not always available. Here, we report the complete genomes of 14 NTM type strains for which the whole-genome data were not previously registered in the National Center for Biotechnology Information search database (1). The target strains are listed in Table 1 (2–15).
TABLE 1.
Summary data of 14 NTM type strains
| Species name | Strain name | GenBank accession no. | SRA accession no.a | Long-read sequencing technology | N50 (bp) (long read) | No. of raw reads (long read) | Coverage (Illumina or PacBio) (×) | No. of contigs | Genome size (bp) | GC content (%) | Total no. of genesb | Total no. of CDSsb,c | Growth type | Isolation sourced | Reference(s) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M. crocinum | JCM 16369 | GCA_022370635.2 | SRX17294351 (P) | PacBio | 9,821 | 58,679 | 46.6 | 2 | 5,965,861 | 67 | 6,043 | 5,988 | Rapid | Soil | 2 |
| Mycobacterium diernhoferi | ATCC 19340 | GCA_019456655.1 | SRX17145768 (I), SRX17145752 (O) | MinION | 2,286 | 187,432 | 114.1 | 1 | 5,998,503 | 68 | 5,716 | 5,660 | Rapid | Soil | 3 |
| Mycobacterium goodii | ATCC 700504 | GCA_022370755.2 | SRX17294352 (P) | PacBio | 9,775 | 77,252 | 102 | 1 | 6,741,281 | 67 | 6,421 | 6,364 | Rapid | Calcaneus | 4 |
| Mycobacterium heraklionense | JCM 30995 | GCA_019645815.1 | SRX17145769 (I), SRX17145753 (O) | MinION | 10,756 | 116,682 | 150.0 | 1 | 5,061,737 | 68 | 4,681 | 4,625 | Slow | Sputum | 5, 6 |
| Mycobacterium holsaticum | JCM 12374 | GCA_019645835.1 | SRX17145770 (I), SRX17145754 (O) | MinION | 7,184 | 151,826 | 121.0 | 1 | 5,623,714 | 67 | 5,359 | 5,303 | Rapid | Sputum | 7 |
| M. lentiflavum | ATCC 51985 | GCA_022374895.2 | SRX17294354 (P) | PacBio | 9,800 | 69,110 | 105 | 4 | 5,901,792 | 66 | 5,727 | 5,674 | Slow | Disc tissue | 8 |
| Mycobacterium malmoense | ATCC 29571 | GCA_019645855.1 | SRX17145771 (I), SRX17145755 (O) | MinION | 7,595 | 121,181 | 101.0 | 1 | 5,319,859 | 67 | 4,926 | 4,874 | Slow | Lung tissue | 9 |
| M. pallens | JCM 16370 | GCA_019456675.1 | SRX17145757 (I), SRX17145751 (O) | MinION | 4,918 | 210,816 | 99.0 | 3 | 6,035,548 | 66 | 5,956 | 5,900 | Rapid | Soil | 2 |
| M. parakoreense | DSM 45575 | GCA_022370835.1 | SRX17294353 (P) | PacBio | 9,859 | 56,061 | 134 | 2 | 3,921,563 | 70 | 3,778 | 3,723 | Slow | Sputum | 10 |
| Mycobacterium paraterrae | DSM 45127 | GCA_022430545.1 | SRX17294358 (P) | PacBio | 10,417 | 184,817 | 318 | 1 | 5,522,63 | 66 | 5,273 | 5,216 | Slow | Sputum | 11 |
| Mycobacterium rufum | JCM 16372 | GCA_022374875.1 | SRX17294355 (P) | PacBio | 9,709 | 81,388 | 46.6 | 2 | 5,750,471 | 69 | 5,804 | 5,748 | Rapid | Soil | 2 |
| Mycobacterium senegalense | ATCC 35796 | GCA_019645875.1 | SRX17145747 (I), SRX17145756 (O) | MinION | 6,751 | 153,355 | 100.0 | 1 | 6,086,722 | 67 | 5,788 | 5,730 | Rapid | Bovine lymph node | 12, 13 |
| M. ulcerans | ATCC 19423 | GCA_022374915.1 | SRX17294356 (P) | PacBio | 17,027 | 58,519 | 46.6 | 1 | 5,624,909 | 65 | 5,140 | 5,088 | Slow | Leg ulcer | 14 |
| Mycobacterium virginiense | DSM 100883 | GCA_022374935.2 | SRX17294357 (P) | PacBio | 10,394 | 135,308 | 273 | 1 | 4,980,168 | 67 | 4,713 | 4,658 | Slow | Flexor tendon | 15 |
I, MiSeq (Illumina); O, MinION (Oxford Nanopore Technologies); P, PacBio (Pacific Biosciences).
Excluding plasmid.
CDSs, coding DNA sequences.
All isolation sources are of human origin except for samples isolated from bovine and soil.
Each type strain was shared from American Type Culture Collection, Japan Collection of Microorganisms, and German Collection of Microorganisms and Cell Cultures. The strains were grown in Middlebrook 7H10 agar medium (Becton Dickinson, USA) and incubated for 1 to 3 weeks at 30°C or 37°C according to the optimal conditions for each species. DNA was extracted using the conventional phenol-chloroform method after enzymatic (100 μg/mL proteinase K with 2% SDS) treatment or by bead beating (0.2-mm diameter zirconia beads; 3 min) (16). The extracted DNA sequences were analyzed using the MinION (Oxford Nanopore Technologies [ONT]) or PacBio Sequel II (Pacific Biosciences, USA) (Table 1) long-read sequencing technologies. For MinION sequencing, libraries were generated using the SQK-RBK004 kit (ONT) and sequenced using the FLO-MIN106D R9.4 GridION flow cell (ONT). Base calling was performed using Guppy v4.2.2 (ONT). For PacBio Sequel II sequencing, DNA was fragmented using g-TUBE (Covaris, USA), sequencing libraries were prepared by using the PacBio SMRTbell express template prep kit 2.0 (Pacific Biosciences), and libraries between 8 and 20 kb were selected using BluePippin (Sage Science, USA). Circular Consensus Sequencing (CCS) was performed using the PacBio sequel II sequencing kit v2.0. High-fidelity (HiFi) reads were generated from the obtained sequences using the ccs package v6.4.0 in PacBio tools distributed via bioconda (17). Only PacBio Sequel II sequencing was commissioned by the Kazusa DNA Laboratory (Kisarazu, Japan). Short-read sequencing was also performed by MiSeq (Illumina, USA) for the samples analyzed by MinION. For short reads, libraries were generated with the QIAseq FX DNA library kit (Qiagen, USA), and 300-bp paired-end sequencing reactions were performed using the MiSeq reagent kit v3 (600 Cycles) (Illumina). All the procedures associated with the sequencing were performed following the manufacturer’s instructions. Sequence quality was assessed using NanoPlot (18), longQC (19), and FastQC (20) for the MinION reads, HiFi reads, and short reads, respectively. Both types of long reads were assembled into circular contigs using Flye v2.8.3-b1705 (21). For MinION reads, each contig was polished twice using short reads and MinION reads using Pilon v1.23 (22) and racon v1.4.22 (23), respectively. All generated chromosomes were rotated using the circulator v1.5.5 (24) to start at dnaA whose sequence was predicted by prokka v1.14.6 (25). The genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline (26). Default software parameters were used unless otherwise noted.
A summary of the sequence results is shown in Table 1. Five strains––Mycobacterium crocinum, Mycobacterium lentiflavum, Mycobacterium pallens, Mycobacterium parakoreense, and Mycobacterium rufum––had 2 to 4 closed circular contigs, indicating the presence of plasmids.
Data availability.
The genome sequences and BioSample numbers are available at GenBank (BioProject accession number PRJNA747101), and all accession numbers can be found in Table 1.
ACKNOWLEDGMENT
This work was supported by the Japan Agency for Medical Research and Development (AMED) under grant number JP21fk0108129.
Contributor Information
Yuriko Igarashi, Email: igarashi@jata.or.jp.
Steven R. Gill, University of Rochester School of Medicine and Dentistry
REFERENCES
- 1.Pruitt KD, Tatusova T, Maglott DR. 2005. NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins. Nucleic Acids Res 33:D501–D504. doi: 10.1093/nar/gki025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hennessee CT, Seo JS, Alvarez AM, Li QX. 2009. Polycyclic aromatic hydrocarbon-degrading species isolated from Hawaiian soils: Mycobacterium crocinum sp. nov., Mycobacterium pallens sp. nov., Mycobacterium rutilum sp. nov., Mycobacterium rufum sp. nov. and Mycobacterium aromaticivorans sp. nov. Int J Syst Evol Microbiol 59:378–387. doi: 10.1099/ijs.0.65827-0. [DOI] [PubMed] [Google Scholar]
- 3.Tsukamura M, Van Der Meulen HJ, Grabow WOK. 1983. Numerical taxonomy of rapidly growing, scotochromogenic mycobacteria of the Mycobacterium parafortuitum complex: Mycobacterium austroafricanum sp. nov. and Mycobacterium diernhoferi sp. nov., nom. rev. Int J Syst Bacteriol 33:460–469. doi: 10.1099/00207713-33-3-460. [DOI] [Google Scholar]
- 4.Brown BA, Springer B, Steingrube VA, Wilson RW, Pfyffer GE, Garcia MJ, Menendez MC, Rodriguez-Salgado B, Jr, Jost KC, Chiu SH, Onyi GO, Böttger EC, Wallace RJ. 1999. Mycobacterium wolinskyi sp. nov. and Mycobacterium goodii sp. nov., two new rapidly growing species related to Mycobacterium smegmatis and associated with human wound infections: a cooperative study from the International Working Group on Mycobacterial Taxonomy. Int J Syst Evol Microbiol 49:1493–1511. doi: 10.1099/00207713-49-4-1493. [DOI] [PubMed] [Google Scholar]
- 5.Tortoli E, Gitti Z, Klenk HP, Lauria S, Mannino R, Mantegani P, Mariottini A, Neonakis I. 2013. Survey of 150 strains belonging to the Mycobacterium terrae complex and description of Mycobacterium engbaekii sp. nov., Mycobacterium heraklionense sp.nov. and Mycobacterium longobardum sp. nov. Int J Syst Evol Microbiol 63:401–411. doi: 10.1099/ijs.0.038737-0. [DOI] [PubMed] [Google Scholar]
- 6.Neonakis IK, Spandidos DA, Gitti Z. 2015. Mycobacterium heraklionense sp. nov.: a case series. Exp Ther Med 10:1401–1403. doi: 10.3892/etm.2015.2683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Richter E, Niemann S, Gloeckner FO, Pfyffer GE, Rüsch-Gerdes S. 2002. Mycobacterium holsaticum sp. nov. Int J Syst Evol Microbiol 52:1991–1996. doi: 10.1099/00207713-52-6-1991. [DOI] [PubMed] [Google Scholar]
- 8.Springer B, Wu WK, Bodmer T, Haase G, Pfyffer GE, Kroppenstedt RM, Schröder KH, Emler S, Kilburn JO, Kirschner P, Telenti A, Coyle MB, Böttger EC. 1996. Isolation and characterization of a unique group of slowly growing mycobacteria: description of Mycobacterium lentiflavum sp. nov. J Clin Microbiol 34:1100–1107. doi: 10.1128/jcm.34.5.1100-1107.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Schroder KH, Juhlin I. 1977. Mycobacterium malmoense sp. nov. Int J Syst Evol Microbiol 27:241–246. doi: 10.1099/00207713-27-3-241. [DOI] [Google Scholar]
- 10.Kim BJ, Hong SH, Yu HK, Park YG, Jeong J, Lee SH, Kim SR, Kim K, Kook YH, Kim BJ. 2013. Mycobacterium parakoreense sp. nov., a slowly growing non-chromogenic species related to Mycobacterium koreense, isolated from a human clinical specimen. Int J Syst Evol Microbiol 63:2301–2308. doi: 10.1099/ijs.0.045070-0. [DOI] [PubMed] [Google Scholar]
- 11.Lee H, Lee SA, Lee IK, Yu HK, Park YG, Jeong J, Lee SH, Kim SR, Hyun JW, Kim K, Kook YH, Kim BJ. 2010. Mycobacterium paraterrae sp. nov. recovered from a clinical specimen: novel chromogenic slow growing mycobacteria related to Mycobacterium terrae complex. Microbiol Immunol 54:46–53. doi: 10.1111/j.1348-0421.2009.00184.x. [DOI] [PubMed] [Google Scholar]
- 12.Chamoiseau G. 1974. Mycobacterium farcinogenes, a causative agent of bovine farcy in Africa. Rev Elev Med Vet Pays Trop 27:61–65. doi: 10.19182/remvt.7975. [DOI] [PubMed] [Google Scholar]
- 13.Chamoiseau G. 1979. Etiology of farcy in African bovines: nomenclature of the causal organisms Mycobacterium farcinogenes Chamoiseau and Mycobacterium senegalense (Chamoiseau) comb. nov. Int J Syst Evol Microbiol 29:407–410. doi: 10.1099/00207713-29-4-407. [DOI] [Google Scholar]
- 14.Maccallum P, Tolhurst JC, Buckle G, Sissons HA. 1948. A new mycobacterial infection in man. J Pathol 60:93–122. doi: 10.1002/path.1700600111. [DOI] [PubMed] [Google Scholar]
- 15.Vasireddy R, Vasireddy S, Brown-Elliott BA, Wengenack NL, Eke UA, Benwill JL, Turenne C, Wallace RJ. 2017. Correction for Vasireddy et al., Mycobacterium arupense, Mycobacterium heraklionense, and a newly proposed species, “Mycobacterium virginiense” sp. nov., but not Mycobacterium nonchromogenicum, as species of the Mycobacterium terrae complex causing tenosynovitis and osteomyelitis. J Clin Microbiol 55:985. doi: 10.1128/JCM.02290-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Sambrook J, Russell D. 2001. Extraction of bacteriophage λ DNA from large-scale cultures using proteinase K and SDS, p 2.56–2.58. In Molecular cloning: a laboratory manual, 3rd ed. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York. [Google Scholar]
- 17.Grüning B, Dale R, Sjödin A, Chapman BA, Rowe J, Tomkins-Tinch CH, Valieris R, Köster J, Bioconda Team . 2018. Bioconda: sustainable and comprehensive software distribution for the life sciences. Nat Methods 15:475–476. doi: 10.1038/s41592-018-0046-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.De Coster W, D'Hert S, Schultz DT, Cruts M, Van Broeckhoven C. 2018. NanoPack: visualizing and processing long-read sequencing data. Bioinformatics 34:2666–2669. doi: 10.1093/bioinformatics/bty149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Fukasawa Y, Ermini L, Wang H, Carty K, Cheung MS. 2020. LongQC: a quality control tool for third generation sequencing long read data. G3 (Bethesda) 10:1193–1196. doi: 10.1534/g3.119.400864. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brown J, Pirrung M, Mccue LA. 2017. FQC Dashboard: integrates FastQC results into a web-based, interactive, and extensible FASTQ quality control tool. Bioinformatics 33:3137–3139. doi: 10.1093/bioinformatics/btx373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kolmogorov M, Yuan J, Lin Y, Pevzner PA. 2019. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol 37:540–546. doi: 10.1038/s41587-019-0072-8. [DOI] [PubMed] [Google Scholar]
- 22.Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A, Sakthikumar S, Cuomo CA, Zeng Q, Wortman J, Young SK, Earl AM. 2014. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 9:e112963. doi: 10.1371/journal.pone.0112963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Vaser R, Sović I, Nagarajan N, Šikić M. 2017. Fast and accurate de novo genome assembly from long uncorrected reads. Genome Res 27:737–746. doi: 10.1101/gr.214270.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hunt M, Silva ND, Otto TD, Parkhill J, Keane JA, Harris SR. 2015. Circulator: automated circularization of genome assemblies using long sequencing reads. Genome Biol 16:294. doi: 10.1186/s13059-015-0849-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
- 26.Zhao Y, Wu J, Yang J, Sun S, Xiao J, Yu J. 2012. PGAP: pan-genomes analysis pipeline. Bioinformatics 28:416–418. doi: 10.1093/bioinformatics/btr655. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The genome sequences and BioSample numbers are available at GenBank (BioProject accession number PRJNA747101), and all accession numbers can be found in Table 1.
