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Microbial Genomics logoLink to Microbial Genomics
. 2020 Dec 23;7(1):mgen000497. doi: 10.1099/mgen.0.000497

Intraspecies plasmid and genomic variation of Mycobacterium kubicae revealed by the complete genome sequences of two clinical isolates

Jo Hendrix 1,2,*, L Elaine Epperson 2, David Durbin 3, Jennifer R Honda 2, Michael Strong 1,2
PMCID: PMC8115904  PMID: 33355531

Abstract

Mycobacterium kubicae is 1 of nearly 200 species of nontuberculous mycobacteria (NTM), environmental micro-organisms that in some situations can infect humans and cause severe lung, skin and soft tissue infections. Although numerous studies have investigated the genetic variation among prevalent clinical NTM species, including Mycobacterium abscessus and Mycobacterium avium , many of the less common but clinically relevant NTM species, including M. kubicae , still lack complete genomes to serve as a comparative reference. Well-characterized representative genomes for each NTM species are important both for investigating the pathogenic potential of NTM, as well as for use in diagnostic methods, even for species that less frequently cause human disease. Here, we report the complete genomes of two M. kubicae strains, isolated from two unrelated patients. Hybrid short-read and long-read sequencing and assembly, using sequence reads from Illumina and Oxford Nanopore Technologies platforms, were utilized to resolve the chromosome and plasmid sequences of each isolate. The genome of NJH_MKUB1 had 5135 coding sequences (CDSs), a circular chromosome of length 5.3 Mb and two plasmids. The genome of NJH_MKUB2 had 5957 CDSs, a circular chromosome of 6.0 Mb and five plasmids. We compared our completed genomic assemblies to four recently released draft genomes of M. kubicae in order to better understand intraspecies genomic conservation and variability. We also identified genes implicated in drug resistance, virulence and persistence in the M. kubicae chromosome and plasmids. Virulence factors encoded in the genome and in the plasmids of M. kubicae provide a foundation for investigating how opportunistic environmental NTM may cause disease.

Keywords: hybrid genome assembly, MinION, whole-genome sequencing

Data Summary

Data generated in this study were deposited in GenBank as BioSamples SAMN12910285, SAMN12910286 and SAMN16828374, under BioProject ID PRJNA575747. Additional comparative data were accessed from GenBank assembly accession numbers GCA_002101745.1, GCA_001667525.1, GCA_001673455.1 and GCA_010723135.1.

Impact Statement.

This study describes the first complete reference genomes of Mycobacterium kubicae . NJH_MKUB1 and NJH_MKUB2 were sequenced using Illumina and Oxford Nanopore Technologies and assembled to high-quality completion using hybrid methods, enabling a more thorough understanding of the pan genome of M. kubicae , including virulence factor identification, and providing resolution to distinguish between genes integrated on the chromosome and mobile elements located on plasmids. The high variability in genome size, content and plasmid abundance was apparent by examining members of the same bacterial species, and within the two samples we sequenced. NJH_MKUB1 had a chromosome of length 5.3 Mb and two plasmids, while NJH_MKUB2 had a chromosome of length 6.0 Mb and five plasmids. Chromosome lengths and numbers of plasmids varied dramatically between strains, but M. kubicae shared a strong set of core genes involved in metabolism and other cellular processes. We also identified a number of potential drug-resistance and virulence factors throughout the genome of this opportunistic pathogen. The findings presented here contribute to our understanding of the coding capacity, genomic plasticity and plasmid variability of nontuberculous mycobacteria, and provide two robust reference genomes of M. kubicae for subsequent comparative studies.

Introduction

Mycobacteria comprise a genus of nearly 200 species that range from obligate human pathogens, such as Mycobacterium tuberculosis and Mycobacterium leprae , to the environmental nontuberculous mycobacteria (NTM) species. NTM occupy a wide array of environmental niches, particularly thriving in soil and water biofilms from natural and built environments [1]. As opportunistic environmental pathogens, NTM can cause disease in immunocompromised patients, as well as individuals with no apparent pre-existing susceptibility [1–3]. Mycobacterium kubicae is a relatively rare NTM that is clinically significant as a cause of pulmonary disease [4, 5]. Previous studies have shown that it is resistant to amikacin and rifampicin, and partially resistant to the first-line anti-tuberculosis drugs isoniazid and ethambutol [4]. Four M. kubicae genome assemblies (CIP 106428, ACS1160, 1146974.2 and JCM 13573) were published as of August 2020, but none were complete, non-gapped assemblies.

Complete genome assemblies enhance our understanding of micro-organisms by revealing the full protein coding capacity of the entire chromosome and plasmids, and by identifying repeat regions and integrated phages. Incomplete assemblies, in contrast, are typically fragmented into contigs, which may split gene clusters and disrupt ORFs, impeding operon analysis and comparison of gene profiles. Often appearing as short segments of DNA in incomplete genomes, plasmids may be disrupted or even mistaken for unattached chromosomal segments. As opposed to M. tuberculosis , which is thought not to naturally retain plasmid elements [6], NTM are known to harbour plasmids of varying sizes, numbers, composition and coding capacity [7]. NTM plasmids enhance cellular survival [8], pathogenesis [9] and antimicrobial resistance [10], yet remain understudied. As a result, we lack understanding of how these mobile elements might influence the pathogenic potential of various NTM species.

Until recently, plasmids were difficult to identify from short-read whole-genome sequence data alone. Illumina next generation reads are highly accurate and are used in most microbial genome re-sequencing projects. However, Illumina reads have relatively short read lengths with a maximum of 250–300 bp depending on the chemistry and instrument used. These short reads can often lead to incomplete assemblies with more than desirable fragmentation in high G+C and highly repetitive regions. Mycobacterial genomes have high G+C content (63–67 mol%) and high occurrences of insertion sequences (ISs), which often have inverted repeats on the ends; these factors present problems for assembly of mycobacterial genomes using short-read sequencing alone [11]. The much longer sequencing reads produced by third-generation technologies like Oxford Nanopore Technologies (ONT) [12] and PacBio span larger regions of the genome, resulting in more complete assemblies; however, long-read sequencing remains less accurate in basecalling per base than Illumina short-read sequencing.

In this study, we present the first two completed genome assemblies of M. kubicae . The two strains, called here NJH_MKUB1 and NJH_MKUB2, were recovered from bronchoalveolar lavage samples of two patients. We sequenced the clinical isolates using Illumina paired-end and ONT long-read technologies, then used a hybrid assembly pipeline [13] to resolve the chromosome and plasmids of each strain. Genes related to drug resistance were identified on the chromosomes and in the plasmids. Through genomic comparisons, a core set of genes common across the M. kubicae genomes were identified. A high degree of variability in the plasmid content and occurrence between strains was also observed, suggesting that M. kubicae can add and remove genetic content through plasmids and chromosomal content. These findings highlight the need for complete, non-gapped genomic assemblies of both common and rare NTM, and reveal the benefits of whole-genome intraspecies isolate comparisons.

Methods

Library preparation and sequencing

Two patients’ bronchoalveolar lavage isolates were sent to the National Jewish Health Advanced Diagnostics Mycobacterial Laboratory for NTM species identification. NJH_MKUB1 was recovered from a 63-year-old woman and NJH_MKUB2 was recovered from an 86-year-old man. Both were identified as M. kubicae using rpoB locus Sanger sequencing. After species identification, culture slants were provided for scaled up microbiological culture in order to obtain sufficient high molecular mass DNA for downstream sequencing. From slants, isolates were streaked for purity onto Middlebrook 7H10 agar plates and incubated at 37 °C for 21 days. After culture, a typical yellow, scotochromogenic pigment was noted. From plates, one colony per isolate was picked and aseptically inoculated into 50 ml Middlebrook 7H9 culture media, incubated for 21 days, and expanded into a 250 ml 7H9 culture to generate a large quantity of cells for genomic DNA (gDNA) extraction and long-read sequencing on the ONT MinION platform. gDNA was extracted using the method described by Epperson and Strong [14] for paired-end and long-read sequencing.

Illumina sequencing

Isolates were sequenced using Illumina 2×250 chemistry with a Nextera DNA Flex library preparation to depths of 80.7× and 59.9×. Illumina paired reads were trimmed by skewer v0.2.2 [15] using an adapter sequence of 5′-CTGTCTCTTATACACATCT-3′, a minimum length of 40 bases after trimming and end quality of 20. Read quality was assessed using fastQC v0.11.8.

ONT MinION sequencing

One microgram of DNA was packaged into a library for ONT sequencing. DNA libraries were prepared using the ligation sequencing kit (SQK-LSK109; ONT) with the native barcoding kit (EXP-NBD104; ONT), according to the manufacturer’s instructions. MinION sequencing proceeded for 21 h on a R9.4.1 flow cell. NJH_MKUB1 was basecalled and demultiplexed with Guppy v3.0.3. NJH_MKUB2 was basecalled and demultiplexed with Guppy v3.2.2 [13]. Additional demultiplexing was performed using Porechop v0.2.4 (https://github.com/rrwick/Porechop) and only reads sorted into the same barcode bin by both software packages were used in downstream analysis. ONT reads were filtered for a minimum length of 5000 bp and a minimum mean quality score of 20. After filtering, the calculated long-read coverage of NJH_MKUB1 and NJH_MKUB2 was 232.7× and 367.5×, respectively.

Genome assembly

Four additional M. kubicae datasets from the National Center for Biotechnology Information (NCBI) were accessed: CIP 106428, ACS1160, 1146974.2 and JCM 13573. Each assembly was downloaded in fasta format for further analysis. CIP 106428 was sequenced with Illumina HiSeq to 100× coverage then assembled with Spades v3.5.0 [16] into 116 contigs (GenBank accession no. GCA_002101745.1) [7]. ACS1160 was sequenced with Illumina NextSeq 500 to 355.6× coverage then assembled with Spades v3.1.1 into 54 contigs (GenBank accession no. GCA_001667525.1). 1146974.2 was sequenced with Illumina NextSeq 500 to 293.2× coverage then assembled with Spades v3.1.1 into 244 contigs (GenBank accession no. GCA_001673455.1). JCM 13573 was sequenced with Illumina HiSeq 2500 to 196× coverage and with ONT MinION then assembled with Canu v1.7 into 5 contigs of lengths 2.9 Mb, 1.8 Mb, 888 kb, 388 kb and 42.3 kb (GenBank accession no. GCA_010723135.1) [17]. We downloaded and reassembled the raw JCM 13573 short and long reads using Unicycler v0.4.4 [18].

The genomes for NJH_MKUB1 and NJH_MKUB2 were assembled using the short-read, long-read and hybrid assembly methods offered by Unicycler v0.4.4 [18]. The long reads of NJH_MKUB2 were also assembled using Canu v2.0 [19]. Assembly accuracy was estimated by the number of variations between the Illumina reads and assembled sequences as detected by Bowtie2 [20]. Completed chromosomes were reoriented to start at the dnaA gene [18].

Gap repair

After hybrid assembly, there was still a gap in the NJH_MKUB2 chromosome that prevented closure. The flanking regions were aligned to the short-read, long-read Unicycler and long-read Canu assemblies. The Canu assembly was selected for the reference in this region because the Illumina contigs did not cover the gap and the long-read Unicycler assembly had lower accuracy (see Results).

To resolve the gap, the 4996 upstream bases were replaced with a 137 bp sequence, the ends were connected and the chromosome was reoriented to the dnaA gene. Long reads were aligned to the completed assembly using Bowtie2 and the number of variants (>20 % of reads had non-reference allele) within 2000 bp of the connection site were counted. In brief, the ends of the gapped sequence were directly connected, and the chromosome was reoriented so the long reads would have room to align. Four reads aligned to the connection point with 554 variants. In the resolved sequence, 16 reads spanned the connected point with only two variants. Thus, the resolved sequence is used for the remainder of this text. The resolved region of NJH_MKUB2 is located at positions 5 312 858–5 312 994.

The 4 996 bp deleted sequence aligned with 99 % similarity to the plasmid, pMKUB2_3 at positions 25 257–30 242, so this segment was not added as an independent contig. Half of the deleted sequence also had 77 % identity to the region directly upstream of its original position in the chromosome. We propose that the short reads could not differentiate between the similar sequences of pMKUB2_3 and the chromosome, so the more abundant plasmid sequence was incorrectly added to the chromosome. This was not fixed during hybrid assembly because Unicycler uses the short reads to (incorrectly in this case) error-correct the long reads. The long-read-only assembly was needed to resolve the repetitive region to close the gap.

Annotation and genomic analysis

Hybrid assemblies were annotated with Prokka v1.13.3 [21] to identify potential coding sequences (CDSs), tRNAs, ISs [11] and rRNA. The previously published assemblies were re-annotated with Prokka for comparative analysis. The identified 16S rRNAs were aligned against the consensus sequence for the original M. kubicae species identification generated by Floyd et al. [4] in order to confirm the species. Phylogenetic relatedness was determined through average nucleotide identities (ANIs) of the full genomes using OrthoANI [22] and CDS profiles using Roary [23]. The pan and core genome were computed using Roary and displayed using Phandango [24]. Functional annotation groups were assigned to the core gene set using GhostKOALA [25], then grouped for ease of interpretation. Functional annotations of specific CDSs in NJH_MKUB1 and NJH_MKUB2 were assigned by Prokka and GhostKOALA, then confirmed through the UniProt [26] database or another listed source. The JCM 13573 reassembly was not used for chromosomal comparison, because it was structurally similar to NJH_MKUB2 (Fig. 1b).

Fig. 1.

Fig. 1.

Genome maps and alignment of NJH_MKUB1 and NJH_MKUB2. Genome maps showing the chromosomes of strain NJH_MKUB1 (a) and NJH_MKUB2 (b). Rings from inner to outer layer represent the location of CDSs, alignment to the chromosome sequences of the other strain, and genes of interest.

Plasmid detection

To detect potential plasmids, contigs <1 Mb in length from the hybrid assemblies of NJH_MKUB1, NJH_MKUB2 and the JCM 13573 reassembly were tested for homology against known plasmids and checked for circularity. Contigs that met one of these criteria were considered potential plasmids. Homology of contigs to existing plasmids was detected using Microbial Nucleotide blast of the NCBI Complete Plasmid database (accessed November 8 2020). A hit was retained if the aligned segment covered at least 75 % of the contig. Contigs were analysed for circularity using Unicycler. During assembly, Unicycler checked contig ends for significant overlap, which would indicate that the contig was circular [18]. brig [27] was used to generate circular alignment plots of plasmids to similar sequences.

Results

Illumina sequencing and assembly

Illumina HiSeq sequencing produced 1 744 896 and 1 435 914 reads for NJH_MKUB1 and NJH_MKUB2, respectively. The assemblies generated were fragmented into 99 contigs for NJH_MKUB1 and 245 contigs for NJH_MKUB2, consistent with the previously published Illumina-only assemblies of M. kubicae that were resolved into 54 to 244 contigs each (Table 1).

Table 1.

Assembly statistics for M. kubicae isolates used in this study

Strain

Technology

Assembly length (bp)

No. of contigs

Coverage

NJH_MKUB1

 Hybrid

5 463 379

3

312.56×

NJH_MKUB2

 Hybrid

6 267 376

6

424.74×

JCM 13573

 Hybrid

6 016 837

3

196.00×

CIP 106428

 Illumina

5 832 568

116

100.00×

ACS1160

 Illumina

5 618 076

54

355.63×

1146974.2

 Illumina

5 534 339

244

293.21×

ONT sequencing and assembly

ONT long-read sequencing on the MinION yielded 153 114 reads, encompassing 1 271 389 991 bases, for NJH_MKUB1, and 292 598 reads, encompassing 2 305 166 903 bases, for NJH_MKUB2, after demultiplexing and filtering. Using only ONT reads, the NJH_MKUB1 genome was assembled into three contigs; however, there were 42 913 variations between the ONT assembly and Illumina reads. ONT reads for the NJH_MKUB2 genome were assembled by Unicycler into 15 contigs with 64 332 variations from the Illumina reads. Canu assembled the NJH_MKUB2 ONT reads into 27 contigs with 4560 variations.

Hybrid assembly of Illumina and ONT reads

Using hybrid assembly, the NJH_MKUB1 genome was resolved into three contigs and the NJH_MKUB2 genome was resolved into six contigs (Table 1). In addition to completeness, accuracy also improved. The number of variations between the hybrid assemblies and the respective Illumina read sets decreased to 89 in NJH_MKUB1 and 112 in NJH_MKUB2, indicating that there were fewer errors in the sequence (0.2 and 0.17 %, respectively). Due to the improved completeness and accuracy of the hybrid assemblies compared to the Illumina-only or ONT-only methods, only the hybrid assemblies for NJH_MKUB1 and NJH_MKUB2 were used for analysis.

The NJH_MKUB1 genome was 5 463 379 bases in length with 66.3 mol% G+C content, 5135 CDSs and 53 tRNAs. The genome consisted of three elements: a circular chromosome of length 5 345 311 bp and two plasmids. The NJH_MKUB2 genome was 6 267 376 bases in length with 66.0 mol% G+C content, 5957 CDSs and 52 tRNAs. The genome consisted of six elements: a circular chromosome of length 6 008 535 bp and five plasmids (Table 1).

JCM 13573 was reassembled into three contigs. The entire genome was 6 016 837 bp in length with 66.0 mol% G+C content, 5576 CDSs and 51 tRNAs. The published assembly had 264 variants, while the reassembly had 172 variants compared to the Illumina reads. The genome consisted of three elements: a circular chromosome of length 5 958 133 bp and two closed plasmids (Table 1).

M. kubicae description

The 16S rRNA sequences of NJH_MKUB1, NJH_MKUB2, CIP 106428, 114674 and JCM 13573 each possessed 100 % sequence identity to the Floyd et al. consensus sequence [4], suggesting these isolates are M. kubicae . ACS1160 contained a T to C polymorphism at position 206. An alignment search of the ACS1160 16S sequence against published 16S sequences on blast did not yield a better match to any other species; thus, this sample was retained in our analysis.

Through CDS analysis, NJH_MKUB1 was found to be most closely related to ACS1160, while NJH_MKUB2 was most closely related to JCM 13573 and CIP 106428 (Fig. 2a). These relationships were confirmed through ANI, where NJH_MKUB1 had 98.22 % ANI to ACS1160 and NJH_MKUB2 had 99.96 % ANI to JCM 13573.

Fig. 2.

Fig. 2.

Relatedness and pan genome of M. kubicae strains. (a) Phylogenetic relationship between the six M. kubicae strains analysed in this study, based on CDS comparison. (b) The pan genome consists of 7353 genes in total, depicted across the x-axis. The presence of a gene in each strain is represented with a blue tick. Core genes (4397) found in all strains are boxed in green. Accessory genes (2956) missing in at least one strain are boxed in orange. (c) Number of core (green) and accessory (orange) genes assigned to each broad functional annotation group.

Pan-genome analysis of all available M. kubicae genome assemblies

The pan genome, consisting of core (present in >95 % of strains) and accessory genes, contained 7353 genes (Fig. 2b). Of the 4397 core genes, 1770 (40.3 %) were assigned to functional annotation groups. The core contained 156 genes involved in cellular processes, 54 genes involved in xenobiotic defence (n=46) and human disease (n=8), and 458 genes involved in information processing. A majority of the core genes were involved in metabolism (n=1102), including the metabolism of carbohydrates (n=239), amino acids (n=127), cofactors and vitamins (n=119), energy (n=112), lipids (n=93), nucleotides (n=69), glycan biosynthesis (n=44), terpenoids and polyketides (n=29), secondary metabolites (n=2), and otherwise unclassified (n=174) or grouped protein families (n=75) (Fig. 2c).

There were 2956 accessory genes found in at least one, but not all, of the strains (Fig. 2b). Only 547 (18.5 %) of the accessory genes could be assigned a functional group (Fig. 2c). A much smaller proportion of the accessory genes were involved in metabolism, which is consistent with metabolism’s role as a central core function.

Chromosomal analysis

Chromosome analysis was performed on NJH_MKUB1 and NJH_MKUB2, where the quality of the assemblies allowed the complete chromosomes to be extracted for individual analysis. The chromosomes contained a number of genes linked to tolerating and sequestering various metals. Additionally, the chromosomes contained genes encoding the MmpL4/MmpS4 and MmpL5/MmpS5 proteins, PE/PPE proteins, and parts of the ESX type VII system including a complete copy of ESX-1. The strains structurally differed at position 4 680 314 in NJH_MKUB1 and 4 958 296 in NJH_MKUB2, where NJH_MKUB2 had a 386 309 bp insert that included a PE3 gene and a partial ESX-5 system (Fig. 1a, b).

Plasmid characterization

Nine contigs were investigated as potential plasmids: two from NJH_MKUB1, five from NJH_MKUB2 and two from the JCM 13573 reassembly. Each plasmid had either significant sequence similarity to an existing plasmid (n=5) and/or were circularized during assembly (n=7). Plasmids pMKUB1_1 in NJH_MKUB1 and pMKUB2_1 in NJH_MKUB2 were not circularized during assembly because neither contig had significant overlap of the ends. Evidence supporting contigs as separate pieces of the same plasmid element were not found. Thus, all potential plasmids from NJH_MKUB1, NJH_MKUB2 and JCM 13573 were determined to be individual plasmids (Table 2).

Table 2.

Plasmids identified in M. kubicae

Strain

Plasmid name

Accession no.

Length (bp)

No. of CDSs

Status

NJH_MKUB1

pMKUB1_1

CP045082

96 951

112

Incomplete

NJH_MKUB1

pMKUB1_2

CP045083

21 117

22

Circular

NJH_MKUB2

pMKUB2_1

CP045076

108 396

121

Incomplete

NJH_MKUB2

pMKUB2_2

CP045077

68 667

80

Circular

NJH_MKUB2

pMKUB2_3

CP045078

34 639

37

Circular

NJH_MKUB2

pMKUB2_4

CP045079

26 209

33

Circular

NJH_MKUB2

pMKUB2_5

CP045080

20 930

23

Circular

JCM 13573

pJCM_13573_1

CP065048

30 582

30

Circular

JCM 13573

pJCM_13573_2

CP065049

28 122

28

Circular

Plasmid pMKUB1_1 was 96 951 bp with 111 potential CDSs and had 76 % coverage and 99.89 % sequence identity to Mycobacterium paragordonae unnamed plasmid 2 (accession no. CP022548.1) (Fig. 3a). Plasmid pMKUB2_2 was 68 667 bp with 80 CDSs and had 86 % coverage and 99.93 % sequence identity to plasmid CP022548.1 (Fig. 3b). Plasmid CP022548.1 was much larger at 144 093 bp with 154 CDSs. Though pMKUB1_1 and pMKUB2_2 had 99.93 % sequence identity to each other and a high identity to CP022548.1, they only overlapped at a portion of their positions, approximately 45 kb (Fig. 3c). Only pMKUB2_2 and CP022548.1 shared regions that included virulence gene controller (lsr2) and members of the ESX system (eccC5, eccB2). CP022548.1 had additional ESX-2 genes along with an arsenic-tolerance gene (arsC) and a cadmium-tolerance gene (cadI). Though not present in any of the plasmids, the genes specific to CP022548.1 were all present on the chromosomes of NJH_MKUB1 and NJH_MKUB2 (Fig. 1). The three plasmids likely diverged from an ancestral plasmid and all included multiple ISs, but only two were shared across all three plasmids (ISFsp4, ISTfu1).

Fig. 3.

Fig. 3.

Comparison of plasmids pMKUB1_1, pMKUB2_2 and CP022548.1. Gene maps of pMKUB1_1 (a), pMKUB2_2 (b) and CP025548.1 (c). The rings from inner to outer layer represent the location of CDS annotations, sequence alignment to the other two plasmids and annotated CDSs.

Plasmid pMKUB1_2 was 21 117 bp with 22 CDSs and was similar to previously reported Mycobacterium chimaera plasmids with accession numbers CP045967 [28] and CP015276 [29]. The plasmid included a β-lactam target (ldtB), transmembrane proteins (mmpL4/mmpS4), nicotine degradation gene (nicB) and TP053 resistance mutation (Rv24662) (Fig. 4a).

Fig. 4.

Fig. 4.

Genome maps of M. kubicae plasmids pMKUB1_2, pMKUB2_1 and pMKUB2_3–5. The rings from inner to outer layers represent the location of CDSs, sequence alignment and genes of interest. (a) pMKUB1_2 aligned to plasmids CP015276.1 and CP045967.1. (b) pMKUB2_1 aligned to plasmid CP029333.1. (c) pMKUB2_3 aligned to pJCM_13573_1. (d) pMKUB2_4 did not have significant sequence similarity to any sequences. (e) pMKUB2_5 aligned to plasmid CP036221.1.

Plasmid pMKUB2_1 was 108 396 bp with 120 CDSs and showed high sequence identity to pMAC109a (GenBank accession no. CP029333) [30]. Both plasmids contained a toxin–antitoxin system (relK, relJ) and a cluster of ESX-5 genes. Compared to pMAC109a, this plasmid contained an insertion for a protein involved in the biosynthesis of the pathway coenzyme F420 (fbiB) (Fig. 4b).

Plasmid pMKUB2_3 was 34 639 bp with 37 CDSs and included a multidrug-resistance gene (mdtH), mercury-tolerance gene (merR1) and nicotine-degradation gene (nicB). This plasmid did not have high sequence identity or coverage with previously reported sequences. Plasmid pJCM_13573_1 was 30 582 bp with 30 CDSs and similar to pMKUB2_3, but had a 4000 bp deletion (Fig. 4c).

Plasmid pMKUB2_4 was 26 209 bp with two IS elements (ISMma22 and IS1549) and 33 CDSs, including a protein involved in biosynthesis of the pathway coenzyme (fbiB). This plasmid did not have high sequence identity or coverage with previously reported sequences (Fig. 4d).

Plasmid pMKUB2_5 was 20 930 bp with 23 CDSs and similar to unnamed plasmid one from ' Mycobacterium avium subsp. hominissuis ' strain mc2 2500 (accession no. CP036221). The plasmid consisted predominantly of transposases and invertases (Fig. 4e).

Plasmid pJCM_13573_2 was 28 122 bp with mmpL4/mmpS4 and mmpL5/mmpS5 genes. This plasmid did not have high sequence identity or coverage with previously reported sequences (results not shown).

Seven plasmids were identified in NJH_MKUB1 and NJH_MKUB2, and though some plasmids contained the same genes or regions, no entire plasmid was present in both, suggesting that plasmids were acquired independently, likely in response to specific environmental needs rather than being maintained across the entire M. kubicae species.

Discussion

Sequencing and assembly

The hybrid assembly of Illumina and ONT reads generated superior genome assemblies, more complete than the Illumina-only assemblies and more accurate than the ONT-only assemblies. The improvement in accuracy is attributed to the read polishing process, where the more accurate Illumina reads were used to correct discrepancies in the long reads during assembly [18]. Variations in the form of SNPs and small indels were still detected between the hybrid assemblies and the respective Illumina read sets as can be expected, since errors [31] and coverage gaps can occur in Illumina sequencing.

NJH_MKUB1 had a full genome size of 5 463 379 bp, which included a circular chromosome of length 5 345 311 bp and two plasmids. NJH_MKUB2 was considerably larger, having a full genome size of 6 267 376 bp with a chromosome of length 6 008 535 bp and five plasmids. The extra content in NJH_MKUB2 appears in small segments throughout the chromosome and a larger insert between positions 4.9 and 5.5 Mb (Fig. 1).

Four draft assemblies of M. kubicae were previously published, but none were complete with circularized chromosomes. JCM 13573 was the most complete genome to date, having resolved into five contigs where the largest contig was about half the size of the two chromosomes characterized in the present study. We reassembled the JCM 13573 data using the most current tools, and this effort resulted in a complete assembly with one closed chromosome and two circularized plasmids.

Pan-genome analysis

Pan-genome analysis of the six available strain assemblies revealed a set of 4397 core genes involved in cellular processes, cell defence and human disease, information processing, and metabolism. A majority of the core genes were involved in metabolism, consistent with the critical role of metabolism as a core function.

All strains had the gene iniA, which has been implicated in improved tolerance to isoniazid and ethambutol. This is consistent with the findings of Floyd et al., who reported that clinical isolates were partially resistant to these two drugs [4]. In addition, the core genome contained the blaF gene (associated with β-lactam resistance) and the multidrug-resistance mmr genes.

There were 2956 accessory genes that were likely acquired or lost after the isolates diverged and may have helped each isolate adapt to its unique conditions. Compared to the core genes, a smaller proportion of the accessory genes could be assigned to a functional group (Fig. 2c). The genes in this group could contain errors that prevented identification or be specialized genes that have yet to be characterized.

Chromosomal analysis of NJH_MKUB1 and NJH_MKUB2

The completeness of the NJH_MKUB1 and NJH_MKUB2 genomes allowed the chromosomes to be assessed independently from the plasmids. As an environmental organism, M. kubicae is equipped with chromosomal genes to help survival in excessive and limited nutrient conditions. For example, the chromosome contains genes that help tolerate the metals arsenate (arsB, arsC), copper (copC, mmcO) and zinc (zitB). Nutrient sequestering is important for surviving in nutrient-poor environments and M. kubicae has the tools to sequester copper (ccs1, ccsA), magnesium, cobalt and manganese (corA), zinc (znuB, znuC), and iron (irtA) (Fig. 1).

Iron scavenging is also an important mechanism used by M. tuberculosis to survive within human macrophages. When infected by mycobacteria, macrophages lower the levels of available iron in order to starve the bacteria of an essential nutrient [32]. To overcome this response, M. tuberculosis utilizes special membrane proteins encoded by mmpL4/mmpS4 and mmpL5/mmpS5 to secrete siderophores that scavenge much-needed iron. In turn, the siderophores are synthesized by genes mbtA–N [32]. The M. kubicae chromosome contains the mmpL4/mmpS4 and mmpL5/mmpS5 genes to produce the membrane proteins and some of the mbt genes needed to synthesize siderophores which may help the clinical isolates scavenge iron during macrophage infection.

The ESX type VII secretion system complex has also been linked to virulence and macrophage survival in mycobacteria. The M. kubicae genome contains some genes from each of the five different ESX systems, but only a complete copy of ESX-1. Though not found in Mycobacterium abscessus , ESX-1 is conserved in the pathogenic mycobacteria M. tuberculosis , M. leprae and Mycobacterium marinum , where it secretes various Esx, Esp and PE/PPE proteins to prevent phagosome maturation and disrupt host immunity [10, 33–35]. A closer phylogenetic relative of M. kubicae , Mycobacterium smegmatis , has an ESX-1 system, but unlike M. tuberculosis , ESX-1 in M. smegmatis is also involved in conjugal DNA transfer, suggesting that the exact function is context dependent [35].

M. kubicae contains both Esx genes (esxA, esxB), but only one of the Esp genes (espB). The few PE/PPE genes found in M. kubicae have been implicated in infection persistence (PE3) and iron sequestering (PE5) [36, 37]. Also present are the ESX system associated genes mycP1–mycP5. It is unclear whether the ESX-1 system and other ESX-related genes in M. kubicae assist organism survival in human macrophages like in M. tuberculosis or if these genes serve an unrelated mechanism such as in M. smegmatis .

Having these virulence genes available in the chromosome provides flexibility for opportunistic pathogens to infect a host when the conditions become favourable. It is also possible that these genes perform different primary functions within the context of M. kubicae compared to M. tuberculosis .

Nine plasmids identified in M. kubicae

Many of the plasmids identified in NJH_MKUB1 and NJH_MKUB2 contribute some type of resistance, tolerance or biosynthesis genes that may be beneficial and could assist in the transition from environmental organisms to human pathogens. For example, the ESX-5 system has been associated with virulence in M. marinum [34] and with persistence in M. tuberculosis [35]. Plasmid pMKUB2_1 appeared to have delivered the ESX-5 system to NJH_MKUB2, possibly enhancing the ability of this strain to infect its human host.

The plasmid diversity observed among the M. kubicae strains gives the species another method of genomic flexibility. NJH_MKUB1, NJH_MKUB2 and JCM 13573 contained two, five and two plasmids, respectively, but only shared a few genes and regions. Plasmids pMKUB1_1 and pMKUB2_2 resembled regions in an unnamed plasmid in M. paragordonae , but lacked a number of genes that were already present in the M. kubicae chromosomes. As mobile genetic elements, the IS elements may have been involved in shuffling sequences between plasmids and into the M. kubicae chromosome. Harbouring the M. paragordonae version of the plasmid would have then been genetically redundant for these strains.

Many of the other plasmids contain resistance, tolerance or persistence genes that have a potential benefit to clinical M. kubicae isolates. The variation in plasmid constituency between these M. kubicae isolates indicates that the strains incorporated plasmids independently and maintained the plasmids that helped each strain in its specific conditions.

Conclusion

The complete genomes of M. kubicae provide a scaffold to investigate the intraspecies genomic variation of NTM that are capable of causing human disease. Since M. kubicae infections are less common than other NTM species infections, the genetic characteristics, plasmid content and pathogenic potential have not been fully investigated to date. However, as this analysis of the M. kubicae genome demonstrates, virulence factors that may enhance pathogenic potential are present throughout the genome of this environmental micro-organism that can cause human disease. Genetic elements can be incorporated on the stable chromosome or transferred through mobile plasmids. This study emphasizes the importance of investigating the genomes of diverse species of NTM in order to further our understanding of genetic elements and genomic diversity that may influence the ability of environmental mycobacteria to become opportunistic pathogens. Specifically, the identification of potential virulence factors, drug-resistance genes and plasmids using complete genome information sheds light on this area. We have demonstrated that hybrid assembly using Illumina and ONT MinION reads is an approach that is well suited to address these needs in NTM.

Funding information

J. H., is supported by a NIH NLM 5 T15 LM009451-12 training grant; M. S., L. E. E. and D. D., thank the Cystic Fibrosis Foundation for funding; and M. S., L. E. E. and J. R. H., thank the National Science Foundation for funding.

Acknowledgements

We thank Nabeeh A. Hasan and Cody Glickman for helpful discussion.

Author contributions

Conceptualization, L. E. E., M. S.; Data curation, J. H.; Formal analysis, J. H.; Funding acquisition, M. S.; Investigation, J. H., L. E. E.; Methodology, J. H.; Resources, D. D., J. R. H., L. E. E.; Supervision, L. E. E., M. S.; Visualization, J. H., L. E. E.; Writing – original draft, J. H.; Writing – review and editing, J. H., J. R. H., L. E. E., M. S.

Conflicts of interest

The authors declare that there are no conflicts of interest.

Footnotes

Abbreviations: ANI, average nucleotide identity; CDS, coding sequence; IS, insertion sequence; NCBI, National Center for Biotechnology Information; NTM, nontuberculous mycobacteria; ONT, Oxford Nanopore Technologies.

All supporting data, code and protocols have been provided within the article or through supplementary data files.

References

  • 1.Falkinham JO. Surrounded by mycobacteria: nontuberculous mycobacteria in the human environment. J Appl Microbiol. 2009;107:356–367. doi: 10.1111/j.1365-2672.2009.04161.x. [DOI] [PubMed] [Google Scholar]
  • 2.Wu M-L, Aziz DB, Dartois V, Dick T. NTM drug discovery: status, gaps and the way forward. Drug Discov Today. 2018;23:1502–1519. doi: 10.1016/j.drudis.2018.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Varghese B, Memish Z, Abuljadayel N, Al-Hakeem R, Alrabiah F, et al. Emergence of clinically relevant non-tuberculous mycobacterial infections in Saudi Arabia. PLoS Negl Trop Dis. 2013;7:e2234. doi: 10.1371/journal.pntd.0002234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Floyd MM, Gross WM, Bonato DA, Silcox VA, Smithwick RW, et al. Mycobacterium kubicae sp. nov., a slowly growing, scotochromogenic Mycobacterium . Int J Syst Evol Microbiol. 2000;50:1811–1816. doi: 10.1099/00207713-50-5-1811. [DOI] [PubMed] [Google Scholar]
  • 5.Varghese B, Enani M, Shoukri M, AlThawadi S, AlJohani S, et al. Emergence of rare species of nontuberculous mycobacteria as potential pathogens in Saudi Arabian clinical setting. PLoS Negl Trop Dis. 2017;11:e0005288. doi: 10.1371/journal.pntd.0005288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ummels R, Abdallah AM, Kuiper V, Aâjoud A, Sparrius M, et al. Identification of a novel conjugative plasmid in mycobacteria that requires both type IV and type VII secretion. mBio. 2014;5:e01744-14. doi: 10.1128/mBio.01744-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Fedrizzi T, Meehan CJ, Grottola A, Giacobazzi E, Fregni Serpini G, et al. Genomic characterization of nontuberculous mycobacteria. Sci Rep. 2017;7:45258. doi: 10.1038/srep45258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Stinear TP, Seemann T, Harrison PF, Jenkin GA, Davies JK, et al. Insights from the complete genome sequence of Mycobacterium marinum on the evolution of Mycobacterium tuberculosis . Genome Res. 2008;18:729–741. doi: 10.1101/gr.075069.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Stinear TP, Pryor MJ, Porter JL, Cole ST. Functional analysis and annotation of the virulence plasmid pMUM001 from Mycobacterium ulcerans . Microbiology. 2005;151:683–692. doi: 10.1099/mic.0.27674-0. [DOI] [PubMed] [Google Scholar]
  • 10.Uchiya K, Takahashi H, Nakagawa T, Yagi T, Moriyama M, et al. Characterization of a novel plasmid, pMAH135, from Mycobacterium avium subsp. hominissuis . PLoS One. 2015;10:e0117797. doi: 10.1371/journal.pone.0117797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Siguier P, Pérochon J, Lestrade L, Mahillon J, Chandler M. ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res. 2006;34:D32–D36. doi: 10.1093/nar/gkj014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jain M, Olsen HE, Paten B, Akeson M. The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community. Genome Biol. 2016;17:239. doi: 10.1186/s13059-016-1103-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wick RR, Judd LM, Holt KE. Performance of neural network basecalling tools for Oxford Nanopore sequencing. Genome Biol. 2019;20:129. doi: 10.1186/s13059-019-1727-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Epperson LE, Strong M. A scalable, efficient, and safe method to prepare high quality DNA from mycobacteria and other challenging cells. J Clin Tuberc Other Mycobact Dis. 2020;19:100150. doi: 10.1016/j.jctube.2020.100150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jiang H, Lei R, Ding S-W, Zhu S. Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads. BMC Bioinformatics. 2014;15:182. doi: 10.1186/1471-2105-15-182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012;19:455–477. doi: 10.1089/cmb.2012.0021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Matsumoto Y, Kinjo T, Motooka D, Nabeya D, Jung N, et al. Comprehensive subspecies identification of 175 nontuberculous mycobacteria species based on 7547 genomic profiles. Emerg Microbes Infect. 2019;8:1043–1053. doi: 10.1080/22221751.2019.1637702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol. 2017;13:e1005595. doi: 10.1371/journal.pcbi.1005595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Koren S, Walenz BP, Berlin K, Miller JR, Bergman NH, et al. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res. 2017;27:722–736. doi: 10.1101/gr.215087.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Langmead B, Wilks C, Antonescu V, Charles R. Scaling read aligners to hundreds of threads on general-purpose processors. Bioinformatics. 2019;35:421–432. doi: 10.1093/bioinformatics/bty648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014;30:2068–2069. doi: 10.1093/bioinformatics/btu153. [DOI] [PubMed] [Google Scholar]
  • 22.Lee I, Kim YO, Park S-C, Chun J. OrthoANI: an improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol. 2016;66:1100–1103. doi: 10.1099/ijsem.0.000760. [DOI] [PubMed] [Google Scholar]
  • 23.Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S, et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics. 2015;31:3691–3693. doi: 10.1093/bioinformatics/btv421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hadfield J, Croucher NJ, Goater RJ, Abudahab K, Aanensen DM, et al. Phandango: an interactive viewer for bacterial population genomics. Bioinformatics. 2018;34:292–293. doi: 10.1093/bioinformatics/btx610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kanehisa M, Sato Y, Morishima K. BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J Mol Biol. 2016;428:726–731. doi: 10.1016/j.jmb.2015.11.006. [DOI] [PubMed] [Google Scholar]
  • 26.UniProt Consortium UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res. 2019;47:D506–D515. doi: 10.1093/nar/gky1049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Alikhan N-F, Petty NK, Ben Zakour NL, Beatson SA. BLAST Ring Image Generator (BRIG): simple prokaryote genome comparisons. BMC Genomics. 2011;12:402. doi: 10.1186/1471-2164-12-402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Baines SL, da Silva AG, Carter GP, Jennison A, Rathnayake I, et al. Complete microbial genomes for public health in Australia and the southwest Pacific. Microb Genom. doi: 10.1099/mgen.0.000471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.van Ingen J, Kohl TA, Kranzer K, Hasse B, Keller PM, et al. Global outbreak of severe Mycobacterium chimaera disease after cardiac surgery: a molecular epidemiological study. Lancet Infect Dis. 2017;17:1033–1041. doi: 10.1016/S1473-3099(17)30324-9. [DOI] [PubMed] [Google Scholar]
  • 30.Matern WM, Bader JS, Karakousis PC. Genome analysis of Mycobacterium avium subspecies hominissuis strain 109. Sci Data. 2018;5:180277. doi: 10.1038/sdata.2018.277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Pfeiffer F, Gröber C, Blank M, Händler K, Beyer M, et al. Systematic evaluation of error rates and causes in short samples in next-generation sequencing. Sci Rep. 2018;8:10950. doi: 10.1038/s41598-018-29325-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Wells RM, Jones CM, Xi Z, Speer A, Danilchanka O, et al. Discovery of a siderophore export system essential for virulence of Mycobacterium tuberculosis . PLoS Pathog. 2013;9:e1003120. doi: 10.1371/journal.ppat.1003120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Zhang M, Chen JM, Sala C, Rybniker J, Dhar N, et al. EspI regulates the ESX-1 secretion system in response to ATP levels in Mycobacterium tuberculosis . Mol Microbiol. 2014;93:1057–1065. doi: 10.1111/mmi.12718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Sampson SL. Mycobacterial PE/PPE proteins at the host-pathogen interface. Clin Dev Immunol. 2011;2011:497203. doi: 10.1155/2011/497203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Newton-Foot M, Warren RM, Sampson SL, Van Helden PD, Gey van Pittius NC. The plasmid-mediated evolution of the mycobacterial ESX (type VII) secretion systems. BMC Evol Biol. 2016;16:62. doi: 10.1186/s12862-016-0631-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Singh SK, Kumari R, Singh DK, Tiwari S, Singh PK, et al. Putative roles of a proline–glutamic acid-rich protein (PE3) in intracellular survival and as a candidate for subunit vaccine against Mycobacterium tuberculosis . Med Microbiol Immunol. 2013;202:365–377. doi: 10.1007/s00430-013-0299-9. [DOI] [PubMed] [Google Scholar]
  • 37.Tufariello JM, Chapman JR, Kerantzas CA, Wong K-W, Vilchèze C, et al. Separable roles for Mycobacterium tuberculosis ESX-3 effectors in iron acquisition and virulence. Proc Natl Acad Sci USA. 2016;113:E348–E357. doi: 10.1073/pnas.1523321113. [DOI] [PMC free article] [PubMed] [Google Scholar]

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