Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 12 February 2019
Sec. Evolutionary and Genomic Microbiology
Volume 10 - 2019 | https://doi.org/10.3389/fmicb.2019.00133

Complete Genome Sequence of 3-Chlorobenzoate-Degrading Bacterium Cupriavidus necator NH9 and Reclassification of the Strains of the Genera Cupriavidus and Ralstonia Based on Phylogenetic and Whole-Genome Sequence Analyses

Ryota Moriuchi1,2, Hideo Dohra1, Yu Kanesaki1 and Naoto Ogawa2,3*
  • 1Research Institute of Green Science and Technology, Shizuoka University, Shizuoka, Japan
  • 2The United Graduate School of Agricultural Science, Gifu University, Gifu, Japan
  • 3Graduate School of Agriculture, Shizuoka University, Shizuoka, Japan

Cupriavidus necator NH9, a 3-chlorobenzoate (3-CB)-degrading bacterium, was isolated from soil in Japan. In this study, the complete genome sequence of NH9 was obtained via PacBio long-read sequencing to better understand the genetic components contributing to the strain's ability to degrade aromatic compounds, including 3-CB. The genome of NH9 comprised two circular chromosomes (4.3 and 3.4 Mb) and two circular plasmids (427 and 77 kb) containing 7,290 coding sequences, 15 rRNA and 68 tRNA genes. Kyoto Encyclopedia of Genes and Genomes pathway analysis of the protein-coding sequences in NH9 revealed a capacity to completely degrade benzoate, 2-, 3-, or 4-hydroxybenzoate, 2,3-, 2,5-, or 3,4-dihydroxybenzoate, benzoylformate, and benzonitrile. To validate the identification of NH9, phylogenetic analyses (16S rRNA sequence-based tree and multilocus sequence analysis) and whole-genome sequence analyses (average nucleotide identity, percentage of conserved proteins, and tetra-nucleotide analyses) were performed, confirming that NH9 is a C. necator strain. Over the course of our investigation, we noticed inconsistencies in the classification of several strains that were supposed to belong to the two closely-related genera Cupriavidus and Ralstonia. As a result of whole-genome sequence analysis of 46 Cupriavidus strains and 104 Ralstonia strains, we propose that the taxonomic classification of 41 of the 150 strains should be changed. Our results provide a clear delineation of the two genera based on genome sequences, thus allowing taxonomic identification of strains belonging to these two genera.

Introduction

The Gram-negative bacterial genera Cupriavidus and Ralstonia belong to the family Burkholderiaceae and the class β-proteobacteria. The two genera are closely related and have a complex taxonomic history, which was addressed by Yabuuchi et al. (1995) and Vandamme and Coenye (2004). The genus Cupriavidus was established in 2004 (Vandamme and Coenye, 2004), with members of this genus isolated from a variety of environments, including soil (Poehlein et al., 2011), ground water (Ray et al., 2015), activated sludge (Shafie et al., 2017), root nodules (Amadou et al., 2008), spacecraft-associated environments (Monsieurs et al., 2014), and human clinical specimens (Monsieurs et al., 2013). These divergent ecological niches explain the diversity of the genus, which currently comprises 17 species (http://www.bacterio.net/cupriavidus.html). To date, the genomes of a variety of Cupriavidus species have been sequenced, and show several common features. In particular, all Cupriavidus species examined have multi-replicon genomes, often including large plasmids, containing metal resistance genes and genes involved in the biodegradation of persistent aromatic compounds (Amadou et al., 2008; Janssen et al., 2010; Lykidis et al., 2010; Poehlein et al., 2011; Ray et al., 2015; Suenaga et al., 2015; Wang X. et al., 2015; Fang et al., 2016; Shafie et al., 2017). As halogenated or non-halogenated aromatic compounds are abundant in the environment as pollutants (e.g., chlorobenzenes and polychlorinated biphenyls, PCBs), understanding the degradation for these recalcitrant aromatics by microorganisms is of great interest for characterizing the behavior of soil-dwelling microorganisms and for the development of novel bioremediation processes (Reineke and Knackmuss, 1988).

Cupriavidus necator NH9 (formerly known as Alcaligenes eutrophus or Ralstonia eutropha) was isolated from a soil sample of the ground near a building of National Institute for Agro-Environmental Sciences (currently, Institute for Agro-Environmental Sciences, NARO) of Tsukuba city, Japan by using 3-chlorobenzoate (3-CB) as a sole source of carbon and energy (Ogawa and Miyashita, 1995). In strain NH9, 3-CB is thought to be first converted to 3- or 4-chlorocatechols by chromosomally-encoded enzymes. The resultant chlorocatechols are converted to β-ketoadipate, a central metabolite of soil bacteria, by the enzymes of the chlorocatechol ortho-cleavage pathway. These enzymes of strain NH9 are encoded by the cbnABCD genes, which are contained on plasmid pENH91 (Ogawa and Miyashita, 1995, 1999). Chlorocatechols are key intermediate metabolites in the aerobic microbial degradation pathways of various chlorinated aromatic compounds (Reineke, 1998). The genes for degradation of chlorocatechols are often encoded on large plasmids. For example, the tfdCDEF, clcABDE, and tcbCDEF genes encoding enzymes of chlorocatechol ortho-cleavage pathway are carried on the plasmids pJP4 of Cupriavidus pinatubonensis JMP134 (Don et al., 1985), pAC27 of Pseudomonas putida AC866 (Frantz and Chakrabarty, 1987; Kasberg et al., 1997) and pP51 of Pseudomonas sp. P51 (van der Meer et al., 1991), respectively. Accordingly, the genes encoding chlorocatechol ortho-cleavage pathway enzymes could spread beyond boundaries of bacterial species. In addition to their simple structures, the production of chlorocatechols as intermediates makes chlorobenzoates suitable model substrate compounds for the study of microbial degradation of chlorinated aromatics (Morimoto et al., 2005). Moreover, chlorobenzoates themselves are the intermediate products of the degradation of PCBs (Reineke and Knackmuss, 1988). In Comamonas testosterone BR60 (formerly Alcaligenes sp. BR60), 3-CB is known to be converted to 5-chloroprotocatechuate or protocatechuate by the products of the cbaABC genes and further metabolized via protocatechuate meta-ring fission pathway (Nakatsu et al., 1997). Several critical features of the ability of strain NH9 to degrade 3-CB have been characterized by analyses of the substrate specificity and application of chlorocatechol 1,2-dioxygenase (CbnA) (Liu et al., 2005; Ohmiya et al., 2009), and by biochemical and structural analyses of CbnR, a LysR-type transcriptional regulator controlling the expression of the cbnABCD genes (Moriuchi et al., 2017; Koentjoro et al., 2018). While these studies have been beneficial for gaining knowledge on both basic and applied aspects of the degradation ability of NH9 or its enzymes, genomic analysis of NH9 would provide further insights into the genes involved in the catabolism of aromatic compounds by this strain.

In the course of our analysis of the genetic characteristics of the strain NH9 to degrade aromatic compounds in comparison with related bacterial strains, we noticed inconsistency of phylogenetic identification of several strains of the genera Cupriavidus and Ralstonia, which is the genus most close to Cupriavidus. Thus, in order to precisely understand genetic characteristic of the strain NH9 among phylogenetically related bacteria, accurate taxonomic identification of NH9 is required.

The genus Ralstonia was first established by Yabuuchi et al. in 1995 to accommodate several misplaced species, including A. eutrophus (currently the genus Cupriavidus), Burkholderia pickettii, and B. solanacearum (Yabuuchi et al., 1995). As of May 2018, genome data of 104 strains that belong to four Ralstonia species have been deposited in the GenBank database. Ralstonia solanacearum, the most sequenced species, is an important phytopathogen that causes bacterial wilt in a variety of economically important crops (Hayward, 1991). R. solanacearum strains are divided into four phylotypes based on their geographic origins: Asia (phylotype I), America (IIA and IIB), Africa (III), and Indonesia-Japan (IV) (Castillo and Greenberg, 2007; Safni et al., 2014). The remaining three Ralstonia species, Ralstonia pickettii, R. insidiosa, and R. mannitolilytica, are commonly found in moist environments (e.g., water and soil) and are opportunistic human pathogens (Ryan and Adley, 2014). R. pickettii also has the capacity to degrade many toxic substances and, like Cupriavidus strains, is found in diverse habitats (Ryan et al., 2007).

Because of the decreasing cost of genome sequencing, a growing number of Cupriavidus and Ralstonia genomes are being sequenced and deposited in public databases. However, taxonomic problems have arisen at the species and genus levels because of the diversity and complex taxonomic history of these two closely related genera. While several studies aimed at inferring the phylogeny of R. solanacearum have been performed (Prior et al., 2016; Zhang and Qiu, 2016), the phylogenetic relationships between the genera Cupriavidus and Ralstonia have never been elucidated. In this study, the complete genome sequence of C. necator NH9 was revealed using PacBio long-reads-based sequencing, allowing us to infer its capacity for the degradation of aromatic compounds. The phylogenetic relationships between Cupriavidus and Ralstonia were also investigated based on whole-genome sequences. Overall, our findings provide a detailed and well-supported description of the phylogenetic relationships between these two genera.

Materials and Methods

Genomic DNA Extraction and Genome Sequencing and Assembly

C. necator NH9 was cultured in basal salts medium (Ogawa and Miyashita, 1995) containing 5 mM 3-CB as the sole source of carbon and energy at 30°C. NH9 genomic DNA was extracted using a DNeasy Blood and Tissue Kit (QIAGEN) and then used as template for whole-genome sequencing via the PacBio RSII system (Pacific Biosciences) by Macrogen Inc. (http://www.macrogen.com), with the resulting assembly confirmed using the MiSeq platform (Illumina) at the Instrumental Research Support Office, Research Institute of Green Science and Technology, Shizuoka University. PacBio RSII sequencing produced 181,370 raw reads, which were filtered using PreAssembler Filter v1 of the RS HGAP Assembly.3 Protocol in SMRT Analysis Software version 2.3.0 (Chin et al., 2013). A minimum polymerase read quality cut-off of 0.75 and a minimum subread length of 7.5 kb were used. We obtained a total of 86,406 filtered subreads, with an N50 read length of 12,367 bp and a max read length of 41,609 bp, resulting in 1,050,061,719 bp of sequence with ~127-fold coverage. These high quality subreads were then de novo assembled using HGAP.3 (Chin et al., 2013) with a minimum seed read length of 15 kb. The resulting four contigs were polished using AssemblyPolishing v1 Quiver (RS HGAP Assembly.3 Protocol) and Arrow (https://github.com/PacificBiosciences/GenomicConsensus), and then closed using Circlator version 1.1.1 (Hunt et al., 2015). To identify errors in the final PacBio assembled contigs, Illumina sequencing data were also collected. A paired-end library was constructed for MiSeq sequencing using a KAPA HyperPlus Kit (KAPA BIOSYSTEMS), resulting in 3,436,955 paired-end reads (2 × 301 bp). Low-quality reads (quality score, < Q15), adapter sequences, reads < 150 bp, and the terminal 301 bases were filtered using Trimmomatic version 0.33 (Bolger et al., 2014), yielding 2,305,131 paired reads corresponding to a coverage of ~138-fold. These high-quality short reads were aligned against the four polished circular contigs using BWA-MEM (Li, 2013) and manually checked using Integrative Genomics Viewer (Thorvaldsdottir et al., 2013). When an error was identified, the relevant position was manually curated. The final complete genome sequence of NH9 has been deposited in DDBJ/ENA/GenBank under accession numbers CP017757–CP017760.

Genome Annotation

Four complete genome sequences of NH9 were annotated using the NCBI Prokaryotic Genome Automatic Annotation Pipeline (PGAAP) (Tatusova et al., 2016), the Microbial Genome Annotation Pipeline (MiGAP, http://www.migap.org), and Prokka software version 1.11 (Seemann, 2014). PGAAP annotation data was manually curated with respect to start codon position and missing genes by referencing it against the MiGAP and Prokka annotation data with the aid of GenomeMatcher (Ohtsubo et al., 2008), Geneious software version 11.0.4 (Kearse et al., 2012), BLASTP analysis (Altschul et al., 1997), and InterProScan (Jones et al., 2014). All putative proteins identified in the NH9 genome were functionally classified based on Clusters of Orthologous Groups (COG) analysis using RPS-BLAST (Altschul et al., 1997). BlastKOALA (Kanehisa et al., 2016a) was used for functional characterization of the NH9 complete genome to reconstruct aromatic compound degradation pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database (Kanehisa et al., 2016b).

Genome Sequence Data Collection

All genome sequence data for the Cupriavidus and Ralstonia strains used in this study were obtained from the assembly summary report file (ftp://ftp.ncbi.nlm.nih.gov/genomes/ASSEMBLY_REPORTS/assembly_summary_refseq.txt). R. pickettii DTP0602 was also added manually. R. solanacearum BBAC-C1 was removed from all analyses because of low genome sequence coverage that adversely affected results. Complete or draft genome sequences, GenBank files, protein coding sequences, amino acid sequences, and RNA gene sequences for the 46 Cupriavidus and 104 Ralstonia named strains selected for analysis were downloaded from the NCBI FTP site (ftp://ftp.ncbi.nlm.nih.gov/genomes/all/) in May 2018.

16S rRNA and Multilocus Sequence Analysis

Phylogenetic analysis was performed using MEGA software version 7.0 (Kumar et al., 2016). For the 16S rRNA gene-based phylogenetic analysis, alignments were carried out using ClustalW and analysis was performed using the maximum likelihood method and the GTR + G substitution model. In addition to the genome-sequenced strains, the 16S rRNA genes of several Cupriavidus and Ralstonia type strains (Cupriavidus basilensis, C. gilardii, C. oxalaticus, C. pauculus, C. pinatubonensis, R. insidiosa, and R. mannitolilytica) were downloaded from the NCBI database. As only partial 16S rRNA gene sequences were available for Cupriavidus metallidurans NE12, C. oxalaticus NBRC 13593, Cupriavidus taiwanensis STM 6018, C. taiwanensis STM 6070, Cupriavidus sp. amp6, Cupriavidus sp. GA3-3, Cupriavidus sp. IDO, Cupriavidus sp. UYPR2.512, R. solanacearum P673, R. solanacearum Y45, and R. solanacearum Rs-10-244, these strains were not included in the analysis. Following alignment, all gaps were eliminated, resulting in a shared 1,386-bp sequence for the final analysis. The 16S rRNA gene sequence of Paraburkholderia xenovorans LB400 (Sawana et al., 2014) was used as the outgroup for the analysis. To evaluate the phylogenetic tree topology, a bootstrap analysis of 1,000 replicates was performed.

For the multilocus sequence analysis (MLSA), we screened for the presence of several single-copy housekeeping genes in the genomes of the Cupriavidus and Ralstonia strains. As a result, we found that the following four genes were present in all of the strains except Cupriavidus sp. SK-3, thus the four genes were used for MLSA: atpD (β-subunit of ATP synthase F0F1 gene), leuS (leucine-tRNA ligase gene), rplB (50S ribosomal protein L2 gene), and gyrB (β-subunit of DNA gyrase gene). Multiple alignments were performed with respect to each gene using ClustalW, and all positions containing gaps or missing data were excluded. All aligned genes were then concatenated in the following order: atpD-leuS-rplB-gyrB. The final lengths of each gene and the complete concatenated sequence were: atpD, 1,278 bp; leuS, 2,571 bp; rplB, 822 bp; gyrB, 1,662 bp; concatenated sequence, 6,333 bp. Maximum likelihood analysis using the GTR + G substitution model was performed with 1,000 bootstrap replicates. The corresponding P. xenovorans LB400 gene sequences were used as the outgroup for the analysis.

Whole-Genome Comparisons

Average nucleotide identity (ANI) (Goris et al., 2007) and percentage of conserved proteins (POCP) (Qin et al., 2014) analyses were used to compare whole-genome sequences. The ANI value, resulting from the mean identity of BLASTN matches between the virtually-fragmented query and reference genomes, was calculated using ani.rb script from the enveomics collection (Rodriguez and Konstantinidis, 2016) with default settings. POCP was used to identify conserved proteins between a pair of genomes using BLASTP analysis and to provide accurate genus cut-off values. To calculate POCP values, a POCP script developed by Harris et al. (2017) was used with the following parameters: E-value < 1e−5, sequence identity ≥ 40%, and alignable region of the query protein sequences ≥ 50%. A dendrogram was constructed based on the Unweighted Pair Group Method with Arithmetic Mean clustering method with a distance of (1 – ANI) in R program version 3.4.4 (https://www.r-project.org/).

Tetra-Nucleotide Analysis (TNA)

The tetra-nucleotide frequencies of all Cupriavidus and Ralstonia genome sequences were calculated using the compseq program from the EMBOSS package (http://emboss.sourceforge.net/apps/cvs/emboss/apps/compseq.html). Results of TNA were visualized by generating a three-dimensional plot of principal component analysis (PCA) in R package rgl. The frequencies of all 256 possible tetra-nucleotides were used as input for PCA.

Results and Discussion

General Properties and Structure of the NH9 Genome

Genome statistics are presented in Table 1 and a circular genome map is depicted in Figure 1. The genome of C. necator strain NH9 comprises two circular chromosomes (Chr), Chr1 (4,347,557 bp, 65.8% G+C) (Figure 1A) and Chr2 (3,395,604 bp, 65.5% G+C) (Figure 1B), along with two circular plasmids, pENH91 (77,172 bp, 64.2% G+C) (Figure 1C) and pENH92 (426,602 bp, 61.8% G+C) (Figure 1D). A total of 7,290 coding sequences (CDSs) were predicted by homology analysis. The NH9 genome contained 68 tRNA genes, two of which were located on pENH92. Chr1 and Chr2 contained three and two rRNA gene operons (5S, 16S, and 23S rRNA genes), respectively, while Chr1 also had one tmRNA and three ncRNAs. Although the G+C contents of all replicons were similar, those of the two plasmids, particularly pENH92, were lower than those of the two chromosomes (Table 1).

TABLE 1
www.frontiersin.org

Table 1. General properties of the C. necator NH9 genome.

FIGURE 1
www.frontiersin.org

Figure 1. Schematic representation of the four replicons of NH9. Circular maps of chromosome 1 (A), chromosome 2 (B), pENH91 (C), and pENH92 (D) are shown. The circles represent (from the inside): 1, GC skew; 2, GC content; 3, RNA genes (except for pENH91); 4, Clusters of Orthologous Groups (COG) assignments for coding sequences (CDSs) on the reverse strand; 5, COG assignments for CDSs on the forward strand; 6, scale in Mb or kb. Note that maps are not drawn to scale relative to the sizes of each replicon, very short RNA genes are enlarged to enhance visibility, and pENH91 does not contain any RNA genes.

To analyze the functional content of the genome and the distribution of CDSs across the replicons, COG functional classification analysis was conducted for all proteins in the NH9 genome (Figure 2). In addition, the percentage of proteins assigned to COG categories in each replicon was compared between chromosomes and between plasmids (Table S1). A significant difference in functionality was observed between the replicons, with the main chromosome, Chr1, encoding proteins responsible for core cellular functions, including protein processing (class O), translational machinery (class J), DNA replication and repair (class L), amino acid metabolism (class E), and nucleotide metabolism (class F). In comparison, the smaller chromosome, Chr2, showed a functional bias toward cell motility (class N), transcription (class K), and energy metabolism (classes C, I, and Q), indicating that proteins encoded on Chr2 are mainly related to adaptation and survival. These biases are similar to those observed in other Cupriavidus genomes (Janssen et al., 2010; Wang X. et al., 2015). As expected, the two plasmids coded for a higher percentage of proteins involved in partitioning (class D) and plasmid replication (class L), as well as proteins of unknown function (class -), compared with the chromosomes (Figure 2 and Table S1), as has been reported previously (Leplae et al., 2006). The smaller plasmid, pENH91, uniquely coded for proteins involved in intracellular trafficking and secretion (class U), while the larger plasmid, pENH92, was not associated with any significantly different protein functions, but did show a functional bias toward energy metabolism, including amino acid, nucleotide, carbohydrate, coenzyme, and lipid metabolism (classes C, E, F, G, H, and I).

FIGURE 2
www.frontiersin.org

Figure 2. Functional classification of proteins encoded on each replicon of the NH9 genome based on Clusters of Orthologous Groups (COG) categories. COG categories are shown on the horizontal axis, with the percentage of proteins belonging to each category for each replicon plotted on the vertical axis (percentages >25% are not shown). *p < 0.05 and **p < 0.01, respectively, as determined by Fisher's test with false discovery rate adjustments. COG functional annotations and specific values are summarized in Table S1.

A dnaA homolog and three DnaA boxes [TT(A/T)TNCACA] (Schaper and Messer, 1995) with no or only one mismatch compared with the consensus were located around the putative replication origin (oriV) of Chr1 (Figure S1A). Chr2 contained both repA and parAB homologs and 20 iteron-like repeats that may be involved in RepA binding [CGC(A/T)GA(A/T)(A/T)(C/T)(A/C/G)GGT(A/T)CG(C/G) consensus sequences] (Figure S1B), indicating that the partitioning system of Chr2 may be plasmid-like. Chr2 also contained three DnaA boxes with only one mismatch compared with the consensus. These chromosomal replication initiation systems were identical to those of other Cupriavidus strains such as C. necator H16 (Pohlmann et al., 2006), C. metallidurans CH34 (Janssen et al., 2010), and C. gilardii CR3 (Wang X. et al., 2015).

Plasmid pENH91 harbored a trfA gene with 100% amino acid sequence identity to that of incompatibility (Inc) P-1β plasmid pA81 of Achromobacter xylosoxidans A8 (Jencova et al., 2008) (Figure S1C). Because Inc plasmid groups are classified based on the amino acid sequence of the replication initiation protein (Shintani et al., 2015), we propose that pENH91 is a member of the IncP-1β plasmid family. Using a BLASTN analysis of ArcWithColor (Ohtsubo et al., 2008) with the following parameters: wordsize, 21; E-value, < 1e−5; and filter query sequence, F, we determined that 74,985 bp (97.2%) of the 77,172-bp pENH91 nucleotide sequence showed 100% identity to the sequence of the corresponding part of pA81 (98,192 bp). In our previous study, we proposed that pENH91 is an IncP-1 group plasmid based on incompatibility test results (Ogawa and Miyashita, 1995). Therefore, the results of the current study support the previous classification of pENH91 as an IncP-1 plasmid. Five putative TrfA-binding sites (iterons) (Norberg et al., 2014) [(A/C/G)(A/C/T)GCCCC(C/T)CA(A/T)GTGTCA consensus sequences] were located between hypothetical protein-coding gene (BJN34_0385) and addiction module antitoxin-coding gene (BJN34_37215) (Figure S1C), suggesting that oriV was located in this region.

pENH92 contained both repB and parAB and at least three DnaA boxes with no, one, or two mismatches compared with the consensus (Figure S1D). Interestingly, the predicted RepB and ParAB protein sequences showed greater similarity to those of pOLGA1 from Burkholderia sp. OLGA172 (Ricker et al., 2016) and pBN1 from Paraburkholderia aromaticivorans BN5 (Lee and Jeon, 2018) (63.8–82.8% amino acid identity) than to those of pBB1 from C. necator N-1 (Poehlein et al., 2011) and pRALTA from C. taiwanensis LMG19424 (Amadou et al., 2008) (39.3–71.9% amino acid identity). As mobile genetic elements (integrase and transposase) were identified either side of repB and parAB in pENH92 (Figure S1D), this region may have been acquired via horizontal transfer.

Capacity of NH9 to Catabolize Aromatic Compounds

To analyze the ability of NH9 to catabolize recalcitrant compounds other than 3-CB, the metabolic pathway for aromatic compound degradation was reconstructed using the KEGG database. Pathway analysis suggested that NH9 should be able to completely degrade benzoate, 2-, 3-, or 4-hydroxybenzoate, 2,3-, 2,5-, or 3,4-dihydroxybenzoate, benzoylformate, and benzonitrile (Table 2 and Figure 3). The catabolic capacity of NH9 was similar to that of other Cupriavidus strains; however, it lacked the complete set of phenol-degrading genes that are found in a number of other strains (Figure S2 and Table S2).

TABLE 2
www.frontiersin.org

Table 2. Putative genes of C. necator NH9 involved in degradation of aromatic and relative compounds.

FIGURE 3
www.frontiersin.org

Figure 3. Aromatic compound degradation pathways in NH9. Enzyme-encoding genes are shown by red text, including locus tag(s). 3-chlorobenzoate, benzoate, benzonitrile, and benzoylformate are shaded in yellow, magenta, green, and purple, respectively. Hydroxybenzoate and dihydroxybenzoate are shaded in blue and orange, respectively.

Genes of NH9 involved in the decomposition of the compounds described above were mostly located on chromosome, especially Chr2, although the ben genes, coding for the key elements of benzoate and 3-CB degradation, were located on Chr1 (Table 2). Almost all of the genes involved in the dissimilation of aromatic compounds were found within clusters, although genes required for the degradation of 3-hydroxybenzoate and catechol were dispersed between Chr1 (nagL and catA) and Chr2 (catAB) (Table 2). BLASTN analysis showed that nagL homolog (BJN34_30900) was located between nagX (BJN34_30895) and nagK (BJN34_30905) on Chr2, indicative of an operon structure.

A cat gene cluster containing all the three genes, catA, catB, and catC, for catechol degradation was not observed in the NH9 genome, suggesting that the cat genes were not acquired at the same time. In various Gram-negative bacteria (e.g., P. putida and Pseudomonas resinovorans), cat genes form an operon including catR, a LysR-type transcriptional regulator. Two catR homologs were identified upstream of catA (BJN34_08555) on Chr1 and catB (BJN34_24340) on Chr2, respectively, in the NH9 genome. Because catechol degradation is one of the central pathways in the metabolism of a variety of aromatic compounds (Broderick, 1999), the acquisition of the various cat genes is intriguing from an evolutionary standpoint in terms of the ability of NH9 to degrade aromatic compounds. Interestingly, several putative CatA-coding genes were present on chromosome 1 and 2 (Table 2). Catechol 1,2-dioxygenase, the product of catA, cleaves the aromatic ring of catechol between two hydroxyl groups (intradiol cleavage) (Figure 3). Other homologous ring-cleaving dioxygenase enzymes such as chlorocatechol dioxygenase and protocatechuate 3,4-dioxygenase catalyze similar reactions (Neidle et al., 1988), with this aromatic ring cleavage recognized as a critical step in the complete degradation of chlorinated or non-chlorinated aromatic compounds by soil bacteria (Harwood and Parales, 1996; Reineke, 1998; Broderick, 1999).

In summary, strain NH9 shared several putative pathways for aerobic degradation of aromatic compounds with other Cupriavidus strains (Table 2, Figure S2, and Table S2). The characteristic feature of strain NH9 is its ability to degrade 3-CB which is an intermediate metabolite of the degradation of PCBs (Reineke and Knackmuss, 1988). Benzoate, hydroxybenzoates and dihydroxybenzoates are intermediate metabolites of the degradation of plant-derived compounds and polycyclic aromatic hydrocarbons (PAHs) (Seo et al., 2009; Wang J. Y. et al., 2015), suggesting that NH9 may be adapted for catabolism of those simple aromatic compounds in the soil environment.

Phylogenetic Analyses

In order to understand the genetic characteristics of the predicted degradation ability of the strain NH9 among related bacteria, precise taxonomic identification of NH9 was required. The necessity also arose from an intertwined history of the genera Cupriavidus with several other β-proteobacteria. In particular, there have been several taxonomic problems within the genera Cupriavidus and Ralstonia because of their genomic diversity and similarities (Vandamme and Coenye, 2004). For instance, R. pickettii DTP0602 and Ralstonia sp. PBA were proposed to belong to the genus Cupriavidus (Zhang and Qiu, 2016; Kim and Gan, 2017). It is possible that there are other bacteria currently belonging to these two genera that should be reclassified.

Previous studies of related bacterial genera suggested relationship between the degradation ability of aromatic compounds and the phylogenetic location (Harwood and Parales, 1996; Perez-Pantoja et al., 2012). Thus, to understand first the distribution of aromatic degradation capabilities in the genus Cupriavidus and Ralstonia, orthologous genes and potential abilities to degrade aromatic compounds in selected Cupriavidus and Ralstonia strains were surveyed (Figure S2 and Table S2). These results indicated that the putative phenotype of degradation ability and taxonomic classification of those strains were not consistent absolutely, although there is a tendency that Ralstonia strains lack genes for degradation of several aromatic compounds which are present in most Cupriavidus strains. The above results led us to examining the genomes of all strains of the genera Cupriavidus and Ralstonia whose complete or draft genome sequences are available from the NCBI database in order to perform genome-based phylogenetic comparison. As a result, we propose reclassification of several strains belonging to these two genera. All Cupriavidus and Ralstonia strains examined in this study are shown in Table 3 and Table S3.

TABLE 3
www.frontiersin.org

Table 3. Cupriavidus and Ralstonia strains used in this study.

Phylogenetic relationships between the genera Cupriavidus and Ralstonia, including strain NH9 and several type strains, were inferred based on 16S rRNA gene sequences (Figure 4). A clear separation of the genus Cupriavidus from the genus Ralstonia could be seen in the phylogenetic tree (Figure 4A). Overall, only Ralstonia sp. PBA was not grouped into either of the clades. The tree generated for the genus Cupriavidus showed a number of clades and included two strains currently classified as Ralstonia (Figure 4B). R. pickettii DTP0602 clustered into the C. necator clade (type strain C. necator N-1) and Ralstonia sp. 25mfcol4.1 was also included in a clade consisting only of Cupriavidus sp. strains. C. pinatubonensis JMP134 and C. pinatubonensis 1245T formed a homogeneous group with very high similarity (99.6%), as previously reported (Sato et al., 2006). Four different species, C. oxalaticus, C. taiwanensis, C. nantongensis, and C. alkaliphilus, were contained in one clade, reflecting the high level of similarity among the 16S rRNA gene sequences of these species (>97.2%). In particular, C. taiwanensis LMG19424T, C. nantongensis X1T, and C. alkaliphilus ASC-732T showed very high sequence similarities (>99.1%), as previously reported (Sun et al., 2016). Strain NH9 shared 99.2% 16S rRNA nucleotide sequence similarity with C. necator N-1T and, as expected, was categorized into the C. necator clade. The genus Ralstonia formed two large clades, one consisting of R. pickettii (type strain R. pickettii ATCC 27511) and R. mannitolilytica and the other comprising R. insidiosa and R. solanacearum (type strain R. solanacearum UW25) (Figure 4C). However, the R. solanacearum clade exhibited aberrant branching; for example, strains CMR15 and CFBP3059, which belong to phylotype III, did not form a clade. Additionally, the R. insidiosa clade was included within the R. solanacearum clade.

FIGURE 4
www.frontiersin.org

Figure 4. Maximum likelihood trees showing the phylogeny of the genera Cupriavidus and Ralstonia based on 16S rRNA gene sequences. Phylogenetic trees generated for both genera (A), the genus Cupriavidus (B), and the genus Ralstonia (C). Full-length 16S rRNA gene sequences were aligned and used in the phylogenetic analysis (see section Materials and Methods for detail). Proposed type-strains are designated with a “T.” Strain NH9 is marked with a red circle. Bootstrap values are represented at the branching points (only values >50% are shown).

16S rRNA gene sequence-based phylogenetic analysis is a basic approach used in prokaryotic taxonomy; however, it cannot provide sufficient resolution to discriminate sequences to the species level. Because MLSA can help to resolve phylogenetic relationships at the genus and species levels, we also constructed a MLSA-based phylogenetic tree using four single-copy housekeeping genes, atpD, leuS, rplB, and gyrB, obtained from 45 Cupriavidus and 104 Ralstonia strains (Figure 5). leuS, rplB, and gyrB were also used in a recent MLSA study of R. solanacearum (Zhang and Qiu, 2016). The concatenated gene sequence-based phylogenetic tree showed broadly similar patterns to the 16S rRNA-based phylogeny and all clades were clearly resolved, although Ralstonia sp. PBA was grouped within the same clade as the genus Cupriavidus (Figure 5A). This branching of strain PBA was consistent with a previously reported maximum likelihood tree (Kim and Gan, 2017). Additionally, the phylogenetic positions of Cupriavidus sp. BIS7, Cupriavidus sp. YR651, and Ralstonia sp. A12 differed compared with the 16S rRNA-based tree (Figures 5B,C). As has been reported previously, a clade consisting of the R. solanacearum strains showed rational branching (Zhang and Qiu, 2016). Furthermore, the R. insidiosa clade was separated from the R. solanacearum clade (Figure 5C). Bootstrap values in the concatenated gene tree were significantly higher than those in the 16S rRNA gene-based tree, indicating that the observed branching patterns were reliable.

FIGURE 5
www.frontiersin.org

Figure 5. Maximum likelihood phylogenetic trees constructed using concatenated atpD, leuS, rplB, and gyrB nucleotide sequences from strains belonging to the genera Cupriavidus and Ralstonia. Phylogenetic trees generated for both genera (A), the genus Cupriavidus (B), and the genus Ralstonia (C). The final dataset contained 6,333 positions (see section Materials and Methods for details). Strain NH9 is marked with a red circle. Bootstrap values are represented at the branching points (only values >50% are shown).

Average Nucleotide Identity Analysis

ANI analysis is usually used for bacterial species delineation along with MLSA (Goris et al., 2007). To assess genome similarities, ANI analysis was performed using all downloaded Cupriavidus and Ralstonia genome sequences (Figures 6, 7, and Table S4). Clusters determined by ANI analysis are described in Table 3. The ANI cut-off value for species distinction is generally 95–96% (Richter and Rossello-Mora, 2009; Kim et al., 2014; Ciufo et al., 2018). While this threshold value was applicable to many Ralstonia strains examined in this study (Table S4), we propose that in the case of the genus Cupriavidus and the species R. pickettii, 90% is a more reasonable threshold considering the results of ANI, phylogenetic analyses, and TNA. For instance, the ANI score of strain NH9 was 91.16% (ANI1 and 2) when compared with C. necator N-1T (Table S4), which would suggest that NH9 does not belong to the species C. necator when using a standard ANI threshold value. Likewise, some of the R. pickettii strains were not correctly grouped at a 95–96% cut-off value. Richter and Rossello-Mora reported that at ANI values below 90%, taxonomic differences became more evident, suggesting that ANI values above 90% produce more robust results (Richter and Rossello-Mora, 2009). Furthermore, it has been discovered that several genera contain species with non-standard ANI cut-off points, which is thought to reflect species diversity (Kim et al., 2014; Ciufo et al., 2018). As noted above, the genus Cupriavidus and the species R. pickettii are very diverse. The relationships between strains categorized at a 90% ANI cut-off were almost identical to the groupings identified by phylogenetic analysis and TNA. Therefore, we propose relaxation of the ANI cut-off value from 95–96 to 90% for the genus Cupriavidus and the species R. pickettii.

FIGURE 6
www.frontiersin.org

Figure 6. Heatmap and dendrogram of average nucleotide identity (ANI) values of the 48 putative Cupriavidus genomes. Strains with ANI values >90% are shown within blue squares (see Table 3 and Table S4 for a description of cluster designations). All squares were assigned numbers from 1 to 17.

FIGURE 7
www.frontiersin.org

Figure 7. Heatmap and dendrogram of average nucleotide identity (ANI) values of the 101 putative Ralstonia genomes. Strains with ANI values >90 and >95% are shown within blue and red squares, respectively (see Table 3 and Table S4 for a description of cluster designations). All squares were assigned a number from 18 to 25.

We also performed additional DNA comparisons whereby the two main replicons from each of the complete genome-sequenced Cupriavidus and Ralstonia strains were, respectively, compared with those from all of the other strains. It was expected that the ANI cut-off values produced from the comparisons between main replicons and between second replicons would be dramatically improved relative to the original results; however, this was not the case (data not shown). This result thus seems to endorse the validity of ANI analysis using the whole-genome sequence of each strain.

Species grouped with ANI values >90 and 95% are shown in blue and red boxes, respectively, in Figures 6, 7. Cupriavidus and Ralstonia strains formed 17 and 8 groups, respectively, indicating greater diversity within the genus Cupriavidus compared with Ralstonia. Only Ralstonia sp. PBA did not share similarity with either genus, as was also observed in the 16S rRNA gene-based phylogeny (Table S4). Interestingly, group 3 included three different species (ANI values >92%): C. alkaliphilus, C. nantongensis, and C. taiwanensis. This is not surprising given the abovementioned high degree of 16S rRNA nucleotide sequence similarity (>99.1%) between the three species. While ANI-based groupings were consistent with the MLSA-based phylogenetic relationships, some variations in the grouping patterns were observed. C. necator A5-1 and R. pickettii DTP0602 (group 2) were separated from the species C. necator (group 1), while the members of group 9, C. basilensis KF708 and Cupriavidus sp. WS, were distinguished from the species C. basilensis (group 7). Cupriavidus sp. BIS7 (group 17), Ralstonia sp. MD27 (group 21), and Ralstonia sp. A12 (group 22), which were categorized into the C. metallidurans, R. insidiosa, and R. pickettii clades, respectively, in the MLSA-based phylogeny, were separated from their respective groups in this analysis. Further, Ralstonia sp. A12 showed higher similarity to R. insidiosa (group 20) than to R. pickettii (group 18). The species R. solanacearum formed three subgroups, consisting of phylotype I and III (group 23), phylotype IV (group 24), and phylotype II (group 25) strains, with an ANI value of 95%. It has previously been proposed that R. solanacearum should be classified into three species, R. pseudosolanacearum (phylotype I and III), R. solanacearum (phylotype II), and R. syzygii (phylotype IV) (Safni et al., 2014), which was validated by genomic, phylogenetic, and proteomic approaches (Prior et al., 2016; Zhang and Qiu, 2016). The result of ANI analysis supported this classification.

Percentage of Conserved Proteins Analysis

Phylogenetic analyses and ANI matrixes showed that two strains currently categorized as Ralstonia, R. pickettii DTP0602 and Ralstonia sp. 25fmcol4.1, belong to the genus Cupriavidus, and suggested that Ralstonia sp. PBA does not belong to either Cupriavidus or Ralstonia. However, while these analyses are useful for species delineation, they are not suitable for determining genera (Qin et al., 2014). Because the POCP method can provide comprehensive information for prokaryotic genus definition and delimitation, we performed POCP analysis for all Cupriavidus and Ralstonia strains (Figure 8). The POCP value threshold for a genus boundary is generally 50%; however, in the present case, we propose that a 60% POCP value is more rational. While most of the Cupriavidus and Ralstonia strains were correctly categorized into the appropriate genus, the two Ralstonia strains mentioned above showed same behavior as the Cupriavidus genus strains. This result confirmed that R. pickettii DTP0602 and Ralstonia sp. 25fmcol4.1 should be reclassified into the genus Cupriavidus. Ralstonia sp. PBA had POCP values of 51.4 and 52.6% when compared with Cupriavidus and Ralstonia strains, respectively, suggesting that it likely does not belong to either genus (Figure 8).

FIGURE 8
www.frontiersin.org

Figure 8. Comparison of average percentage of conserved proteins (POCP) values between Cupriavidus (A) and Ralstonia (B) named strains. Ralstonia group and Cupriavidus group strains are shown to the left and right of the vertical dotted bar, respectively. The two red dots indicate strains that are currently classified as Ralstonia but grouped into the genus Cupriavidus in this analysis. Blue dots indicate identical average POCP values when compared with Cupriavidus and Ralstonia strains. The red horizontal line indicates the genus boundary threshold (a POCP value of 60% was used in this study). Organism names are abbreviated as follows: 25fmcol4.1, Ralstonia sp. 25fmcol4.1; DTP0602, R. pickettii DTP0602; PBA, Ralstonia sp. PBA.

Tetra-Nucleotide Analysis

TNA and a PCA were also performed because tetra-nucleotide usage could be an alternative marker for clustering bacteria based on similarities in their genome sequence features (Richter and Rossello-Mora, 2009). These analyses showed that Cupriavidus strains formed 12 scattered clusters (clusters A–L) while Ralstonia strains formed only four clear clusters (clusters M–P), indicating the greater diversity of the Cupriavidus genome structure (Figure 9). Cluster assignments based on PCA are described in Table 3. Strain NH9 was categorized into Cluster D, consisting mainly of C. necator strains. PCA grouped C. necator A5-1 and R. pickettii DTP0602 into the same cluster (cluster G) as shown in the ANI matrix, with the addition of Cupriavidus sp. amp6 and Cupriavidus sp. IDO (Figure 9 and Table 3). Because Cupriavidus sp. amp6 and Cupriavidus sp. IDO have comparatively high ANI values when compared with C. necator A5-1 and R. pickettii DTP0602 (Table S4), this clustering is appropriate. However, C. oxalaticus NBRC 13593, which had an ANI score of >90% when compared with Cupriavidus sp. amp6, was noticeably separated from cluster G and was instead categorized into cluster B, comprised of C. taiwanensis, C. nantongensis, and C. alkaliphilus strains. Cluster K contained several species, including C. pauculus KF709, C. pinatubonensis JMP134, Cupriavidus sp. BIS7, Cupriavidus sp. YR651, and Ralstonia sp. PBA. Surprisingly, the genome features of Ralstonia sp. PBA were more similar to those of Cupriavidus strains than to Ralstonia strains. As expected, R. pickettii DTP0602 and Ralstonia sp. 25fmcol4.1 were categorized into the Cupriavidus-derived clusters (Table 3). Ralstonia sp. A12 was classified into cluster N, consisting mainly of R. insidiosa strains. This classification is inconsistent with the results of MLSA, but similar to the results of ANI analysis. R. solanacearum strains (cluster P) were not separated into three groups as shown in the ANI matrix, but instead formed a single grouping. Cluster designations of all other Cupriavidus and Ralstonia strains based on TNA were the same as those determined by ANI analysis.

FIGURE 9
www.frontiersin.org

Figure 9. Three-dimensional plot of principal components analysis results for all 150 Cupriavidus and Ralstonia genomes. Differences in color between clusters indicates divergence using the first three principal components. Sixteen clusters (A to P) are shown (see Table 3 for a description of cluster assignments).

ANI analysis and TNA produced contradictory results in the designation of the several strains (C. oxalaticus NBRC 13593, C. pauculus KF709, C. pinatubonensis JMP134, Cupriavidus sp. BIS7, Cupriavidus sp. YR651, and Ralstonia sp. PBA) (Table 3). Richter and Rossello-Mora (Richter and Rossello-Mora, 2009) considered two scenarios as the causes for this paradoxical observation; (i) evolutionary or environmental forces may impede modifications of the genomic signature, resulting in a tetra-nucleotide frequency that does not reflect the actual phylogenetic position of the strain, and (ii) the amount of aligned sequence should be taken into account when ANI analysis was performed. We confirmed that adequate amounts of sequence were used for pairwise DNA sequence alignment in our analysis. When compared with the results of phylogenetic analyses and ANI analysis, we propose that ANI method is more reliable and suitable for inferring phylogenetic relationships as the results are more clear cut than TNA method.

Reclassification of the Strains of the Genera Cupriavidus and Ralstonia

The proposed reclassification of several Cupriavidus and Ralstonia strains is summarized in Table 4. Phylogenetic and whole-genome sequence analyses confirmed that strain NH9 belongs to the species C. necator, but also suggested that 41 of the strains examined in this study should be corrected in terms of their taxonomic classifications. While phylogenetic analysis did not support a change in taxonomic classification for C. basilensis KF708 and C. necator A5-1, whole-genome sequence analyses suggested that the species designations of these strains were incorrect. The classification of R. pickettii DTP0602 was also called into question based on the results of whole-genome sequence analyses (Table 4). Overall, these results suggest that the combination of phylogenetic and whole-genome sequence analyses can identify the correct taxonomic assignments for bacterial strains, with whole-genome sequence analyses being particularly useful for improving the resolution, although biochemical characterization is required for complete taxonomic classification.

TABLE 4
www.frontiersin.org

Table 4. Summary of proposed reclassification of Cupriavidus and Ralstonia strains.

All analysis methods clearly indicated that R. pickettii DTP0602 and Ralstonia sp. 25mfcol4.1 should be reclassified into the genus Cupriavidus. Strain DTP0602 has also previously been flagged for reclassification into the genus Cupriavidus (Zhang and Qiu, 2016), but robust taxonomic analysis has not been performed until now. In contrast, the current study is the first to reveal strain 25mfcol4.1 as a member of the genus Cupriavidus. Interestingly, three different species, C. alkaliphilus, C. nanotongensis, and C. taiwanensis showed high similarities in all analyses. ANI-based categorization (cut-off value 90%), especially, suggested that these bacteria are the same species (ANI values > 92%), although the three species have been already reported to be separated via phenotypic characterization and DNA-DNA hybridization (Sun et al., 2016). Strains H16 and JMP134 (formerly known as R. eutropha) were reported to share high similarities with C. necator and C. pinatubonensis type-strains, respectively, based on DNA-DNA hybridization analyses (Vandamme and Coenye, 2004; Sato et al., 2006). However, detailed taxonomic experiments, and therefore a robust classification, have never been performed for strain H16. Our results of 16S rRNA gene-based phylogenetic analysis, MLSA, ANI, and TNA agreed with previous classifications. By using several discrimination methods, the taxonomic positions of strains H16 and JMP134, which have been widely studied as a polyhydroxybutyrate producer (Pohlmann et al., 2006; Kutralam-Muniasamy and Perez-Guevara, 2018) and a 2,4-dichlorophenoxyacetic acid degrader (Lykidis et al., 2010), respectively, have been clarified in the current study.

The species R. solanacearum were clearly separated into three subgroups based on phylogenetic and ANI analyses, and this result was consistent with previous studies (Safni et al., 2014; Prior et al., 2016; Zhang and Qiu, 2016). In our research, newly 20 strains were proposed to be reclassified into appropriate taxonomic positions (Table 4). Contradictory results were obtained regarding the phylogenetic position of Ralstonia sp. A12, as described above. Considering all of the results for this strain, we concluded that it could also be classified as R. insidiosa (Table 4). Although a species classification could not be determined for Ralstonia sp. MD27 at an ANI value of 95%, phylogenetic analyses and TNA clearly indicated that it belongs to the species R. insidiosa. While Ralstonia sp. PBA shows phylogenetic affinity to the genus Cupriavidus based on 16S rRNA nucleotide sequence analysis (Figure 4) and tetra-nucleotide usage (Figure 9), it is unlikely to belong to either the genus Cupriavidus or the genus Ralstonia based on POCP identities of <60% when compared with Cupriavidus and Ralstonia strains (Figure 8). Based on POCP analysis, Kim and Gan proposed that Ralstonia sp. PBA should be classified into the genus Cupriavidus; however, they only performed pairwise comparison of the proteome of strain PBA with proteins from Cupriavidus and Burkholderia strains (Kim and Gan, 2017). Regardless, all results presented so far confirm that strain PBA is a member of the family Burkholderiaceae. A more comprehensive analysis including strains belonging to related genera will provide a more appropriate classification of strain PBA.

Conclusion

In the present work, the complete genome sequence of C. necator NH9 was obtained. Analyses of general genome properties, genome structure, and the aromatic compound degradation capacity of NH9 demonstrated that this bacterium had similar characteristics to other Cupriavidus strains. The presence of several dioxygenase-encoding genes suggested a versatile role for NH9 in the degradation of aromatic compounds in contaminated soil. Based on comprehensive phylogenetic and genomic analyses, NH9 was clearly identified as belonging to the species C. necator. Further analyses of 46 Cupriavidus and 104 Ralstonia strains also indicated that 41 of these strains should be reclassified at either the genus or species level. In particular, two Ralstonia strains should be reclassified into the genus Cupriavidus. The combination of several discrimination methods allowed more precise classification of these bacteria, which have a complex taxonomic history. We determined that the ANI method was a particularly powerful tool for classification of bacteria at the species level. However, we propose that standard ANI cut-off values of 90 and 95% be applied to Cupriavidus and Ralstonia strains, respectively, because the species diversity within the genus Cupriavidus is higher than that of the genus Ralstonia. In addition, a 90% ANI threshold should also be applied to the species R. pickettii because of its similarly high level of diversity. On the other hand, while the phylogenetic re-location of the strain DTP0602 as a species of Cupriavidus by our analysis turned out to accord with the tendency of degradation ability of aromatic compounds by Cupriavidus, incongruence was observed between the delineation of the two genera and the tendency of the aromatic degradation abilities (Figure S2). This suggested that some genetic events such as horizontal transfer of the degradation genes in the past beyond the genus.

Author Contributions

RM, HD, and NO conceived and designed the experiments. RM performed the experiments, analyzed the data, prepared all tables and figures, and wrote the manuscript. HD and YK provided assistance with analysis tools. HD, YK, and NO critically reviewed and curated the manuscript. NO is responsible for the project.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank Dr. Yoshiyuki Ohtsubo (Tohoku University) for assistance with using the GenomeMatcher software. We also thank Dr. Kiyotaka Miyashita for information of C. necator strain NH9.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2019.00133/full#supplementary-material

Abbreviations

3-CB, 3-chlorobenzoate; ANI, average nucleotide identity; CDSs, coding sequences; Chr, chromosome; COG, clusters of orthologous groups; Inc, incompatibility; KEGG, kyoto encyclopedia of genes and genomes; MiGAP, microbial genome annotation pipeline; MLSA, multilocus sequence analysis; PAHs, polycyclic aromatic hydrocarbons; PCA, principle component analysis; PCBs, polychlorinated biphenyls; PGAAP, prokaryotic genome automatic annotation pipeline; POCP, percentage of conserved proteins; TNA, tetra-nucleotide analysis.

References

Altschul, S. F., Madden, T. L., Schaffer, A. A., Zhang, J., Zhang, Z., Miller, W., et al. (1997). Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 25, 3389–3402. doi: 10.1093/nar/25.17.3389

PubMed Abstract | CrossRef Full Text | Google Scholar

Amadou, C., Pascal, G., Mangenot, S., Glew, M., Bontemps, C., Capela, D., et al. (2008). Genome sequence of the beta-rhizobium Cupriavidus taiwanensis and comparative genomics of rhizobia. Genome Res. 18, 1472–1483. doi: 10.1101/gr.076448.108

PubMed Abstract | CrossRef Full Text | Google Scholar

Bolger, A. M., Lohse, M., and Usadel, B. (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120. doi: 10.1093/bioinformatics/btu170

PubMed Abstract | CrossRef Full Text | Google Scholar

Broderick, J. B. (1999). Catechol dioxygenases. Essays Biochem. 34, 173–189. doi: 10.1042/bse0340173

PubMed Abstract | CrossRef Full Text | Google Scholar

Castillo, J. A., and Greenberg, J. T. (2007). Evolutionary dynamics of Ralstonia solanacearum. Appl. Environ. Microbiol. 73, 1225–1238. doi: 10.1128/AEM.01253-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Chin, C. S., Alexander, D. H., Marks, P., Klammer, A. A., Drake, J., Heiner, C., et al. (2013). Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat. Methods 10, 563–569. doi: 10.1038/nmeth.2474

PubMed Abstract | CrossRef Full Text | Google Scholar

Ciufo, S., Kannan, S., Sharma, S., Badretdin, A., Clark, K., Turner, S., et al. (2018). Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI. Int. J. Syst Evol. Microbiol. 68, 2386–2392. doi: 10.1099/ijsem.0.002809

PubMed Abstract | CrossRef Full Text | Google Scholar

Don, R. H., Weightman, A. J., Knackmuss, H. J., and Timmis, K. N. (1985). Transposon mutagenesis and cloning analysis of the pathways for degradation of 2,4-dichlorophenoxyacetic acid and 3-chlorobenzoate in Alcaligenes eutrophus JMP134(pJP4). J. Bacteriol. 161, 85–90.

PubMed Abstract | Google Scholar

Fang, L. C., Chen, Y. F., Zhou, Y. L., Wang, D. S., Sun, L. N., Tang, X. Y., et al. (2016). Complete genome sequence of a novel chlorpyrifos degrading bacterium, Cupriavidus nantongensis X1. J. Biotechnol. 227, 1–2. doi: 10.1016/j.jbiotec.2016.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Frantz, B., and Chakrabarty, A. M. (1987). Organization and nucleotide sequence determination of a gene cluster involved in 3-chlorocatechol degradation. Proc. Natl. Acad. Sci. U.S.A. 84, 4460–4464. doi: 10.1073/pnas.84.13.4460

PubMed Abstract | CrossRef Full Text | Google Scholar

Goris, J., Konstantinidis, K. T., Klappenbach, J. A., Coenye, T., Vandamme, P., and Tiedje, J. M. (2007). DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int. J. Syst. Evol. Microbiol. 57(Pt 1), 81–91. doi: 10.1099/ijs.0.64483-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Harris, H. M. B., Bourin, M. J. B., Claesson, M. J., and O'Toole, P. W. (2017). Phylogenomics and comparative genomics of Lactobacillus salivarius, a mammalian gut commensal. Microb. Genome 3:e000115. doi: 10.1099/mgen.0.000115

PubMed Abstract | CrossRef Full Text | Google Scholar

Harwood, C. S., and Parales, R. E. (1996). The β-ketoadipate pathway and the biology of self-identity. Annu. Rev. Microbiol. 50, 553–590. doi: 10.1146/annurev.micro.50.1.553

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayward, A. C. (1991). Biology and epidemiology of bacterial wilt caused by Pseudomonas solanacearum. Annu. Rev. Phytopathol. 29, 65–87. doi: 10.1146/annurev.py.29.090191.000433

PubMed Abstract | CrossRef Full Text | Google Scholar

Hunt, M., Silva, N. D., Otto, T. D., Parkhill, J., Keane, J. A., and Harris, S. R. (2015). Circlator: automated circularization of genome assemblies using long sequencing reads. Genome Biol. 16, 294. doi: 10.1186/s13059-015-0849-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Janssen, P. J., Van Houdt, R., Moors, H., Monsieurs, P., Morin, N., Michaux, A., et al. (2010). The complete genome sequence of Cupriavidus metallidurans strain CH34, a master survivalist in harsh and anthropogenic environments. PLoS ONE 5:e10433. doi: 10.1371/journal.pone.0010433

PubMed Abstract | CrossRef Full Text | Google Scholar

Jencova, V., Strnad, H., Chodora, Z., Ulbrich, P., Vlcek, C., Hickey, W. J., et al. (2008). Nucleotide sequence, organization and characterization of the (halo)aromatic acid catabolic plasmid pA81 from Achromobacter xylosoxidans A8. Res. Microbiol. 159, 118–127. doi: 10.1016/j.resmic.2007.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Jones, P., Binns, D., Chang, H. Y., Fraser, M., Li, W., McAnulla, C., et al. (2014). InterProScan 5: genome-scale protein function classification. Bioinformatics 30, 1236–1240. doi: 10.1093/bioinformatics/btu031

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanehisa, M., Sato, Y., Kawashima, M., Furumichi, M., and Tanabe, M. (2016b). KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res. 44, D457–D462. doi: 10.1093/nar/gkv1070

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanehisa, M., Sato, Y., and Morishima, K. (2016a). BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428, 726–731. doi: 10.1016/j.jmb.2015.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Kasberg, T., Seibert, V., Schlomann, M., and Reineke, W. (1997). Cloning, characterization, and sequence analysis of the clcE gene encoding the maleylacetate reductase of Pseudomonas sp. strain B13. J. Bacteriol. 179, 3801–3803. doi: 10.1128/jb.179.11.3801-3803.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., et al. (2012). Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28, 1647–1649. doi: 10.1093/bioinformatics/bts199

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, K., and Gan, H. M. (2017). A glimpse into the genetic basis of symbiosis between Hydrogenophaga and their helper strains in the biodegradation of 4-aminobenzenesulfonate. J. Genomics 5, 77–82. doi: 10.7150/jgen.20216

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, M., Oh, H. S., Park, S. C., and Chun, J. (2014). Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int. J. Syst. Evol. Microbiol. 64(Pt 2), 346–351. doi: 10.1099/ijs.0.059774-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Koentjoro, M. P., Adachi, N., Senda, M., Ogawa, N., and Senda, T. (2018). Crystal structure of the DNA-binding domain of the LysR-type transcriptional regulator CbnR in complex with a DNA fragment of the recognition-binding site in the promoter region. FEBS J. 285, 977–989. doi: 10.1111/febs.14380

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Stecher, G., and Tamura, K. (2016). MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 33, 1870–1874. doi: 10.1093/molbev/msw054

PubMed Abstract | CrossRef Full Text | Google Scholar

Kutralam-Muniasamy, G., and Perez-Guevara, F. (2018). Genome characteristics dictate poly-R-(3)-hydroxyalkanoate production in Cupriavidus necator H16. World J. Microbiol. Biotechnol. 34:79. doi: 10.1007/s11274-018-2460-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, Y., and Jeon, C. O. (2018). Paraburkholderia aromaticivorans sp. nov., an aromatic hydrocarbon-degrading bacterium, isolated from gasoline-contaminated soil. Int. J. Syst. Evol. Microbiol. 68, 1251–1257. doi: 10.1099/ijsem.0.002661

PubMed Abstract | CrossRef Full Text | Google Scholar

Leplae, R., Lima-Mendez, G., and Toussaint, A. (2006). A first global analysis of plasmid encoded proteins in the ACLAME database. FEMS Microbiol. Rev. 30, 980–994. doi: 10.1111/j.1574-6976.2006.00044.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H. (2013). Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv:1303.3997v2 [q-bio.GN].

Google Scholar

Liu, S., Ogawa, N., Senda, T., Hasebe, A., and Miyashita, K. (2005). Amino acids in positions 48, 52, and 73 differentiate the substrate specificities of the highly homologous chlorocatechol 1,2-dioxygenases CbnA and TcbC. J. Bacteriol. 187, 5427–5436. doi: 10.1128/JB.187.15.5427-5436.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Lykidis, A., Perez-Pantoja, D., Ledger, T., Mavromatis, K., Anderson, I. J., Ivanova, N. N., et al. (2010). The complete multipartite genome sequence of Cupriavidus necator JMP134, a versatile pollutant degrader. PLoS ONE 5:e9729. doi: 10.1371/journal.pone.0009729

PubMed Abstract | CrossRef Full Text | Google Scholar

Monsieurs, P., Mijnendonckx, K., Provoost, A., Venkateswaran, K., Ott, C. M., Leys, N., et al. (2014). Genome sequences of Cupriavidus metallidurans strains NA1, NA4, and NE12, isolated from space equipment. Genome Announc. 2:e00719–14. doi: 10.1128/genomeA.00719-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Monsieurs, P., Provoost, A., Mijnendonckx, K., Leys, N., Gaudreau, C., and Van Houdt, R. (2013). Genome sequence of Cupriavidus metallidurans strain H1130, isolated from an invasive human infection. Genome Announc. 1:e01051–13. doi: 10.1128/genomeA.01051-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Morimoto, S., Togami, K., Ogawa, N., Hasebe, A., and Fujii, T. (2005). Analysis of a bacterial community in 3-chlorobenzoate-contaminated soil by PCR-DGGE targeting the 16S rRNA gene and benzoate 1,2-dioxygenase gene (benA). Microb. Environ. 20, 151–159. doi: 10.1264/jsme2.20.151

CrossRef Full Text | Google Scholar

Moriuchi, R., Takada, K., Takabayashi, M., Yamamoto, Y., Shimodaira, J., Kuroda, N., et al. (2017). Amino acid residues critical for DNA binding and inducer recognition in CbnR, a LysR-type transcriptional regulator from Cupriavidus necator NH9. Biosci. Biotechnol. Biochem. 81, 2119–2129. doi: 10.1080/09168451.2017.1373592

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakatsu, C. H., Providenti, M., and Wyndham, R. C. (1997). The cis-diol dehydrogenase cbaC gene of Tn5271 is required for growth on 3-chlorobenzoate but not 3,4-dichlorobenzoate. Gene 196, 209–218. doi: 10.1016/S0378-1119(97)00229-1

CrossRef Full Text | Google Scholar

Neidle, E. L., Hartnett, C., Bonitz, S., and Ornston, L. N. (1988). DNA sequence of the Acinetobacter calcoaceticus catechol 1,2-dioxygenase I structural gene catA: evidence for evolutionary divergence of intradiol dioxygenases by acquisition of DNA sequence repetitions. J. Bacteriol. 170, 4874–4880. doi: 10.1128/jb.170.10.4874-4880.1988

PubMed Abstract | CrossRef Full Text | Google Scholar

Norberg, P., Bergstrom, M., and Hermansson, M. (2014). Complete nucleotide sequence and analysis of two conjugative broad host range plasmids from a marine microbial biofilm. PLoS ONE 9:e92321. doi: 10.1371/journal.pone.0092321

PubMed Abstract | CrossRef Full Text | Google Scholar

Ogawa, N., and Miyashita, K. (1995). Recombination of a 3-chlorobenzoate catabolic plasmid from Alcaligenes eutrophus NH9 mediated by direct repeat elements. Appl. Environ. Microbiol. 61, 3788–3795.

PubMed Abstract | Google Scholar

Ogawa, N., and Miyashita, K. (1999). The chlorocatechol-catabolic transposon Tn5707 of Alcaligenes eutrophus NH9, carrying a gene cluster highly homologous to that in the 1,2,4-trichlorobenzene-degrading bacterium Pseudomonas sp. strain P51, confers the ability to grow on 3-chlorobenzoate. Appl. Environ. Microbiol. 65, 724–731.

PubMed Abstract | Google Scholar

Ohmiya, Y., Ono, T., Taniguchi, T., Itahana, N., Ogawa, N., Miyashita, K., et al. (2009). Stable expression of the chlorocatechol dioxygenase gene from Ralstonia eutropha NH9 in hybrid poplar cells. Biosci. Biotechnol. Biochem. 73, 1425–1428. doi: 10.1271/bbb.80848

PubMed Abstract | CrossRef Full Text | Google Scholar

Ohtsubo, Y., Ikeda-Ohtsubo, W., Nagata, Y., and Tsuda, M. (2008). GenomeMatcher: a graphical user interface for DNA sequence comparison. BMC Bioinformatics 9:376. doi: 10.1186/1471-2105-9-376

PubMed Abstract | CrossRef Full Text | Google Scholar

Perez-Pantoja, D., Donoso, R., Agullo, L., Cordova, M., Seeger, M., Pieper, D. H., et al. (2012). Genomic analysis of the potential for aromatic compounds biodegradation in Burkholderiales. Environ. Microbiol. 14, 1091–1117. doi: 10.1111/j.1462-2920.2011.02613.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Poehlein, A., Kusian, B., Friedrich, B., Daniel, R., and Bowien, B. (2011). Complete genome sequence of the type strain Cupriavidus necator N-1. J. Bacteriol. 193:5017. doi: 10.1128/JB.05660-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Pohlmann, A., Fricke, W. F., Reinecke, F., Kusian, B., Liesegang, H., Cramm, R., et al. (2006). Genome sequence of the bioplastic-producing “Knallgas” bacterium Ralstonia eutropha H16. Nat. Biotechnol. 24, 1257–1262. doi: 10.1038/nbt1244

PubMed Abstract | CrossRef Full Text | Google Scholar

Prior, P., Ailloud, F., Dalsing, B. L., Remenant, B., Sanchez, B., and Allen, C. (2016). Genomic and proteomic evidence supporting the division of the plant pathogen Ralstonia solanacearum into three species. BMC Genomics 17:90. doi: 10.1186/s12864-016-2413-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, Q. L., Xie, B. B., Zhang, X. Y., Chen, X. L., Zhou, B. C., Zhou, J., et al. (2014). A proposed genus boundary for the prokaryotes based on genomic insights. J. Bacteriol. 196, 2210–2215. doi: 10.1128/JB.01688-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Ray, J., Waters, R. J., Skerker, J. M., Kuehl, J. V., Price, M. N., Huang, J., et al. (2015). Complete genome sequence of Cupriavidus basilensis 4G11, isolated from the Oak Ridge field research center site. Genome Announc. 3:e00322–15. doi: 10.1128/genomeA.00322-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Reineke, W. (1998). Development of hybrid strains for the mineralization of chloroaromatics by patchwork assembly. Annu. Rev. Microbiol. 52, 287–331. doi: 10.1146/annurev.micro.52.1.287

PubMed Abstract | CrossRef Full Text | Google Scholar

Reineke, W., and Knackmuss, H. J. (1988). Microbial degradation of haloaromatics. Annu. Rev. Microbiol. 42, 263–287. doi: 10.1146/annurev.mi.42.100188.001403

PubMed Abstract | CrossRef Full Text | Google Scholar

Richter, M., and Rossello-Mora, R. (2009). Shifting the genomic gold standard for the prokaryotic species definition. Proc. Natl. Acad. Sci. U.S.A. 106, 19126–19131. doi: 10.1073/pnas.0906412106

PubMed Abstract | CrossRef Full Text | Google Scholar

Ricker, N., Shen, S. Y., Goordial, J., Jin, S., and Fulthorpe, R. R. (2016). PacBio SMRT assembly of a complex multi-replicon genome reveals chlorocatechol degradative operon in a region of genome plasticity. Gene 586, 239–247. doi: 10.1016/j.gene.2016.04.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodriguez, R. L. M., and Konstantinidis, K. T. (2016). The enveomics collection: a toolbox for specialized analyses of microbial genomes and metagenomes. PeerJ Preprints 4:e1900ve11.

Google Scholar

Ryan, M. P., and Adley, C. C. (2014). Ralstonia spp.: emerging global opportunistic pathogens. Eur J Clin Microbiol Infect Dis 33, 291–304. doi: 10.1007/s10096-013-1975-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Ryan, M. P., Pembroke, J. T., and Adley, C. C. (2007). Ralstonia pickettii in environmental biotechnology: potential and applications. J Appl Microbiol 103, 754–764. doi: 10.1111/j.1365-2672.2007.03361.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Safni, I., Cleenwerck, I., De Vos, P., Fegan, M., Sly, L., and Kappler, U. (2014). Polyphasic taxonomic revision of the Ralstonia solanacearum species complex: proposal to emend the descriptions of Ralstonia solanacearum and Ralstonia syzygii and reclassify current R. syzygii strains as Ralstonia syzygii subsp. syzygii subsp. nov., R. solanacearum phylotype IV strains as Ralstonia syzygii subsp. indonesiensis subsp. nov., banana blood disease bacterium strains as Ralstonia syzygii subsp. celebesensis subsp. nov. and R. solanacearum phylotype I and III strains as Ralstonia pseudosolanacearum sp. nov. Int J Syst Evol Microbiol 64(Pt 9), 3087–3103. doi: 10.1099/ijs.0.066712-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Sato, Y., Nishihara, H., Yoshida, M., Watanabe, M., Rondal, J. D., Concepcion, R. N., et al. (2006). Cupriavidus pinatubonensis sp. nov. and Cupriavidus laharis sp. nov., novel hydrogen-oxidizing, facultatively chemolithotrophic bacteria isolated from volcanic mudflow deposits from Mt. Pinatubo in the Philippines. Int J Syst Evol Microbiol 56(Pt 5), 973–978. doi: 10.1099/ijs.0.63922-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Sawana, A., Adeolu, M., and Gupta, R. S. (2014). Molecular signatures and phylogenomic analysis of the genus Burkholderia: proposal for division of this genus into the emended genus Burkholderia containing pathogenic organisms and a new genus Paraburkholderia gen. nov. harboring environmental species. Front Genet 5, 429. doi: 10.3389/fgene.2014.00429

PubMed Abstract | CrossRef Full Text | Google Scholar

Schaper, S., and Messer, W. (1995). Interaction of the initiator protein DnaA of Escherichia coli with its DNA target. J Biol Chem 270, 17622–17626. doi: 10.1074/jbc.270.29.17622

PubMed Abstract | CrossRef Full Text | Google Scholar

Seemann, T. (2014). Prokka: rapid prokaryotic genome annotation. Bioinformatics 30, 2068–2069. doi: 10.1093/bioinformatics/btu153

PubMed Abstract | CrossRef Full Text | Google Scholar

Seo, J. S., Keum, Y. S., and Li, Q. X. (2009). Bacterial degradation of aromatic compounds. Int. J. Environ. Res. Public Health 6, 278–309. doi: 10.3390/ijerph6010278

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafie, N. A., Lau, N. S., Ramachandran, H., and Amirul, A. A. (2017). Complete Genome Sequences of Three Cupriavidus Strains Isolated from Various Malaysian Environments. Genome Announc. 5:e01498–16. doi: 10.1128/genomeA.01498-16

PubMed Abstract | CrossRef Full Text | Google Scholar

Shintani, M., Sanchez, Z. K., and Kimbara, K. (2015). Genomics of microbial plasmids: classification and identification based on replication and transfer systems and host taxonomy. Front. Microbiol. 6:242. doi: 10.3389/fmicb.2015.00242

PubMed Abstract | CrossRef Full Text | Google Scholar

Suenaga, H., Yamazoe, A., Hosoyama, A., Kimura, N., Hirose, J., Watanabe, T., et al. (2015). Draft genome sequence of the polychlorinated biphenyl-degrading bacterium Cupriavidus basilensis KF708 (NBRC 110671) isolated from biphenyl-contaminated soil. Genome Announc. 3:e00143–15. doi: 10.1128/genomeA.00143-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, L. N., Wang, D. S., Yang, E. D., Fang, L. C., Chen, Y. F., Tang, X. Y., et al. (2016). Cupriavidus nantongensis sp. nov., a novel chlorpyrifos-degrading bacterium isolated from sludge. Int. J. Syst. Evol. Microbiol. 66, 2335–2341. doi: 10.1099/ijsem.0.001034

PubMed Abstract | CrossRef Full Text | Google Scholar

Tatusova, T., DiCuccio, M., Badretdin, A., Chetvernin, V., Nawrocki, E. P., Zaslavsky, L., et al. (2016). NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res. 44, 6614–6624. doi: 10.1093/nar/gkw569

PubMed Abstract | CrossRef Full Text | Google Scholar

Thorvaldsdottir, H., Robinson, J. T., and Mesirov, J. P. (2013). Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief Bioinform. 14, 178–192. doi: 10.1093/bib/bbs017

PubMed Abstract | CrossRef Full Text | Google Scholar

van der Meer, J. R., van Neerven, A. R., de Vries, E. J., de Vos, W. M., and Zehnder, A. J. (1991). Cloning and characterization of plasmid-encoded genes for the degradation of 1,2-dichloro-, 1,4-dichloro-, and 1,2,4-trichlorobenzene of Pseudomonas sp. strain P51. J. Bacteriol. 173, 6–15.

PubMed Abstract | Google Scholar

Vandamme, P., and Coenye, T. (2004). Taxonomy of the genus Cupriavidus: a tale of lost and found. Int. J. Syst. Evol. Microbiol. 54(Pt 6), 2285–2289. doi: 10.1099/ijs.0.63247-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J.Y., Zhou, L., Chen, B., Sun, S., Zhang, W., Li, M., et al. (2015). A functional 4-hydroxybenzoate degradation pathway in the phytopathogen Xanthomonas campestris is required for full pathogenicity. Sci. Rep. 5:18456. doi: 10.1128/jb.173.1.6-15.1991

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, X., Chen, M., Xiao, J., Hao, L., Crowley, D. E., Zhang, Z., et al. (2015). Genome sequence analysis of the naphthenic acid degrading and metal resistant bacterium Cupriavidus gilardii CR3. PLoS ONE 10:e0132881. doi: 10.1371/journal.pone.0132881

PubMed Abstract | CrossRef Full Text | Google Scholar

Yabuuchi, E., Kosako, Y., Yano, I., Hotta, H., and Nishiuchi, Y. (1995). Transfer of two Burkholderia and an Alcaligenes species to Ralstonia gen. nov.: proposal of Ralstonia pickettii (Ralston, Palleroni and Doudoroff 1973) comb. nov., Ralstonia solanacearum (Smith 1896) comb. Nov. and Ralstonia eutropha (Davis 1969) comb. nov. Microbiol. Immunol. 39, 897–904. doi: 10.1111/j.1348-0421.1995.tb03275.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., and Qiu, S. (2016). Phylogenomic analysis of the genus Ralstonia based on 686 single-copy genes. Anton. Van Leeuwenhoek 109, 71–82. doi: 10.1007/s10482-015-0610-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: aromatic degradation, Cupriavidus, Ralstonia, reclassification, ANI (average nucleotide identity), TNA (tetra-nucleotide analysis)

Citation: Moriuchi R, Dohra H, Kanesaki Y and Ogawa N (2019) Complete Genome Sequence of 3-Chlorobenzoate-Degrading Bacterium Cupriavidus necator NH9 and Reclassification of the Strains of the Genera Cupriavidus and Ralstonia Based on Phylogenetic and Whole-Genome Sequence Analyses. Front. Microbiol. 10:133. doi: 10.3389/fmicb.2019.00133

Received: 24 October 2018; Accepted: 21 January 2019;
Published: 12 February 2019.

Edited by:

Iain Sutcliffe, Northumbria University, United Kingdom

Reviewed by:

Roberta Fulthorpe, University of Toronto Scarborough, Canada
Maged M. Saad, King Abdullah University of Science and Technology, Saudi Arabia
Jorgen Johannes Leisner, University of Copenhagen, Denmark

Copyright © 2019 Moriuchi, Dohra, Kanesaki and Ogawa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Naoto Ogawa, ogawa.naoto@shizuoka.ac.jp

Download