Skip to main content
BMC Genomics logoLink to BMC Genomics
. 2012 Mar 23;13:111. doi: 10.1186/1471-2164-13-111

Variation in genomic islands contribute to genome plasticity in cupriavidus metallidurans

Rob Van Houdt 1,, Pieter Monsieurs 1, Kristel Mijnendonckx 1,2, Ann Provoost 1, Ann Janssen 1, Max Mergeay 1, Natalie Leys 1
PMCID: PMC3384475  PMID: 22443515

Abstract

Background

Different Cupriavidus metallidurans strains isolated from metal-contaminated and other anthropogenic environments were genotypically and phenotypically compared with C. metallidurans type strain CH34. The latter is well-studied for its resistance to a wide range of metals, which is carried for a substantial part by its two megaplasmids pMOL28 and pMOL30.

Results

Comparative genomic hybridization (CGH) indicated that the extensive arsenal of determinants involved in metal resistance was well conserved among the different C. metallidurans strains. Contrary, the mobile genetic elements identified in type strain CH34 were not present in all strains but clearly showed a pattern, although, not directly related to a particular biotope nor location (geographical). One group of strains carried almost all mobile genetic elements, while these were much less abundant in the second group. This occurrence was also reflected in their ability to degrade toluene and grow autotrophically on hydrogen gas and carbon dioxide, which are two traits linked to separate genomic islands of the Tn4371-family. In addition, the clear pattern of genomic islands distribution allowed to identify new putative genomic islands on chromosome 1 and 2 of C. metallidurans CH34.

Conclusions

Metal resistance determinants are shared by all C. metallidurans strains and their occurrence is apparently irrespective of the strain's isolation type and place. Cupriavidus metallidurans strains do display substantial differences in the diversity and size of their mobile gene pool, which may be extensive in some (including the type strain) while marginal in others.

Background

Metals are common in our environment and diet. Rocks and soils are the principal and natural sources of metals in the environment. These sources lead to natural background levels in soils, sediments, waters and organisms that are supplemented by many human activities like agriculture (fertilizers, manure and pesticides) and industrial activities (petrochemical, extractive, metallurgic). Some metals are essential trace elements, however, many are toxic to organisms. The essential elements are acquired from the environment depending on the necessities and their uptake is strictly controlled by homeostasis. Failure of these regulation mechanisms due to metal deficiency or toxicity (excess) results in harmful effects on the organism. Mechanisms to resist metals are abundant and widespread in bacteria, with resistance determinants occurring in a few percent in pristine environments to in nearly all isolates in heavily polluted environments [1].

Cupriavidus metallidurans is a species characterized by multiple metal-resistances [2-4]. For C. metallidurans type strain CH34 a substantial part of the metal resistance mechanisms are carried by its two megaplasmids pMOL28 and pMOL30 [5,6]. However, next to these specialized plasmids also chromosomally-encoded metal responsive gene clusters have been identified [7]. The C. metallidurans CH34 genome [8] hosts in addition a large diversity of mobile genetic elements (MGEs) including genomic islands (GIs), integrative and conjugative elements, transposons and Insertion Sequence (IS) elements [9,10]. Both the number and diversity of genes related to MGEs is larger in type strain CH34 than in related strains from other Cupriavidus and Ralstonia genera [8,9]. Multiple GIs, in particular on both plasmids, contain genes for heavy metal resistance [6,9]. Its capacity to degrade toluene, to fix carbon dioxide and to oxidize hydrogen is located on Tn4371-like integrative and conjugative elements [9,11,12].

C. metallidurans strains were often isolated from industrial sites linked to mining-, metallurgical-, and chemical industries [2,13,14]. Next to this, C. metallidurans strains were isolated from environments not typified by metal contamination like, for instance, from different spacecraft-related environments [15-19], from patients with cystic fibrosis [20] or even as the causative agent of an invasive human infection [21].

In this study, we aimed to gain insight in the dispersion and horizontal transfer of genes and the evolutionary forces shaping this species. Therefore, whole-genome oligonucleotide DNA microarrays based on the genome of CH34 were used to compare 16 C. metallidurans strains isolated from diverse metal-contaminated biotopes, from other anthropogenic environments and from human cerebrospinal fluid with type strain CH34.

Results

General comparison

Comparative whole-genome hybridization (CGH) was applied to compare sixteen C. metallidurans strains (Table 1) with type strain CH34 and showed that all strains shared a core of 3387 coding sequences (CDS), which represents 54.6% of the 6205 oligonucleotide probes present on the CH34 microarray. This common gene pool represented 58.2%, 53.7%, 16.4% and 31.0% of chromosome 1 (CHR1), chromosome 2 (CHR2), pMOL28 and pMOL30, respectively. Thus, although the main replicon (CHR1) carries most of the housekeeping genes [8], only a slightly higher percentage of CDS is conserved in CHR1 compared to CHR2. This is different when comparing the sequenced Cupriavidus species (C. metallidurans, C. eutrophus, C. pinatubonensis, C. taiwanensis), for which the percentage of common genes is much larger for CHR1 than for CHR2 [8].

Table 1.

Strains used in this study

Strain Isolation site Isolation place Reference
AS39 Mine tailings Likasi-Sud, Congo [14]
AS167 Mine tailings Likasi-Sud, Congo [13]
AS168 Mine tailings Likasi-Sud, Congo [14]
KT01 Wastewater treatment plant Göttingen, Germany [22]
KT02 Wastewater treatment plant Göttingen, Germany [23]
KT21 Wastewater treatment plant Göttingen, Germany [22]
SV661 Non-ferrous industry Beerse, Belgium [14]
CH34T Decantation tank, zinc factory Liège, Belgium [24]
CH42 Polluted sediments, zinc factory Liège, Belgium [13]
CH79 Polluted sediments, zinc factory Liège, Belgium [13]
31A Galvanization tank, metal factory Holzminden, Germany [23]
NE12 Cleanroom Kennedy Space Center Florida, USA [25]
NA1 Water storage system International Space Station [26]
NA2 Contingency water container International Space Station [26]
NA4 Water recovery system International Space Station [26]
43015 Human cerebrospinal fluid Göteborg, Sweden CCUG*
45957 Pharmaceutical industry Sweden CCUG

*Culture Collection, University of Göteborg, Sweden

Within this conserved group 2760 CDS were assigned to a Cluster of Orthologous Groups (COG). The most abundant COG functional categories were function unknown (Category S; 12.4%), amino acid transport and metabolism (Cat. E; 9.3%), general function prediction only (Cat. R; 9.0%), transcription (Cat. K; 8.5%) and energy production and conversion (Cat. C; 8.4%), respectively.

Cluster analysis based on the pairwise number of overlapping orthologs indicated that all strains can clearly be clustered into two main groups (Figure 1). The strains isolated from the mine tailings in Congo (AS39, AS167 and AS168) grouped together with SV661 isolated from a metal factory in Belgium and with KT01 from a wastewater treatment plant in Germany. This cluster grouped together with a cluster comprising type strain CH34 and the other two isolates KT02 and KT21 from the wastewater treatment plant in Germany forming group I (Figure 1). Group II included the strains isolated from the spacecraft-related environments (NE12, NA1, NA2 and NA4), as well as 31A (Germany) and CH42 (Belgium) from metal factories, the clinical strain 43015 (Sweden), and strain 45957 from pharmaceutics (Sweden). Interestingly, type strain CH34 did not group with the two other strains (CH42 and CH79) isolated from the same site in Belgium.

Figure 1.

Figure 1

Graphical representation and clustering analysis of C. metallidurans strains. Hierarchically (complete-linkage) clustered heat map based on CGH results of 17 different C. metallidurans strains to a whole-genome oligonucleotide DNA microarray of type strain CH34. The numbers indicated on the heat map are the total number (below diagonal) and percentage (above diagonal) of genes shared between two corresponding strains. The numbers on the diagonal represent the maximal number of genes within one species that gave a detectable signal on the DNA microarray. Bootstrap values (%) from 1,000 times resampling are shown at each dendrogram node.

Mobile genetic elements

All strains (except CH42) carried one or more megaplasmids (Additional file 1: Figure S1). Concordantly, a good overall conservation of pMOL28 and pMOL30 genes was observed. CGH indicated that for pMOL30 genes in general between 80 and 99% of the probes showed a positive hybridization signal except for CH42 (55.6%), 31A (55.6%), 43015 (51.4%) and 45957 (42.6%) (Figure 2, Table 2). For KT02, 99% or 214 out of 216 gave a positive hybridization signal. For CH42, 31A, 43015 and 45957, a higher percentage of positive hybridization signals was observed for the genomic islands CMGI-30a and CMGI-30b carried by pMOL30 than for the plasmid backbone, indicating that the megaplasmid(s) in these strains probably do not carry a backbone similar to pMOL30. The pMOL28 genes are less conserved than those from pMOL30 but still in general between 71 and 95% with the highest number of positive CGH signals for KT21 (95%) and KT02 (94%) (Figure 2, Table 2). Conservation below 70% was observed for CH42 (29.6%), CH79 (31.6%), NE12 (38.8%) and NA2 (55.9%). More positive hybridization signals were found for the GIs on pMOL28 than the plasmid backbone, indicating that their megaplasmids probably do not carry a backbone similar to pMOL28. Concordantly, strains lacking either the pMOL28 backbone (CH79, NE12 and NA2), the pMOL30 backbone (43015 and 45957) or both (CH42) have only one or no megaplasmid (Additional file 1: Figure S1). Strain 31A, which carries two megaplasmids pTOM8 and pTOM9 [27], showed only a positive hybridization signal with the pMOL28 backbone, indicating that one of both has a backbone related to pMOL28 while the other has a backbone unrelated to pMOL30.

Figure 2.

Figure 2

Graphical representation and clustering analysis of MGEs in C. metallidurans strains. Hierarchically (complete-linkage) clustered heat map based on CGH results related to plasmids, previously and newly identified genomic islands of 16 different C. metallidurans strains to a whole-genome oligonucleotide DNA microarray of type strain CH34. Bootstrap values (%) from 1,000 times resampling are shown at each dendrogram node.

Table 2.

Relative occurrence of C. metallidurans CH34 genomic islands and plasmids in C. metallidurans strains as indicated by CGH*

CMGI AS39 AS167 AS168 KT01 KT02 KT21 SV661 CH42 CH79 31A NE12 NA1 NA2 NA4 43015 45957
CMGI-1 90.8 87.5 81.7 81.7 90.8 91.7 86.7 29.2 62.5 23.3 92.5 63.3 65.8 37.5 50.0 41.7
CMGI-2 86.6 86.6 78.6 83.0 86.6 89.3 83.0 27.7 22.3 15.2 30.4 18.8 24.1 12.5 32.1 25.0
CMGI-3 89.5 77.9 47.7 84.9 91.9 87.2 51.2 26.7 22.1 20.9 30.2 26.7 29.1 20.9 30.2 24.4
CMGI-4 88.7 86.8 81.1 84.9 90.6 92.5 86.8 22.6 47.2 13.2 77.4 66.0 64.2 7.5 88.7 86.8
CMGI-5 100 100 100 100 100 100 100 38.9 22.2 16.7 16.7 22.2 27.8 22.2 50.4 44.4
CMGI-6 46.2 46.2 46.2 38.5 46.2 84.6 46.2 23.1 30.8 15.4 7.7 0 7.7 7.7 0 0
CMGI-7 100 100 100 100 100 100 100 100 69.2 100 61.5 53.8 61.5 100 69.2 53.8
CMGI-8 100 100 100 100 100 100 100 42.9 28.6 28.6 28.6 28.6 28.6 28.6 28.6 28.6
CMGI-9 100 100 100 100 100 100 100 20.0 20.0 13.3 6.7 0 13.3 0 0 0
CMGI-10 100 100 100 100 100 100 100 7.1 7.1 0 0 0 7.1 7.1 7.1 0
CMGI-11 100 100 100 100 100 100 100 14.3 57.1 100 57.1 57.1 57.1 28.6 28.6 28.6
CMGI-12§ 100 100 100 100 100 100 100 0 0 0 0 0 11.1 0 22.2 0
CMGI-13§ 100 100 100 100 100 100 100 100 31.3 25.0 6.3 6.3 12.5 12.5 18.8 18.8
CMGI-A§ 89.0 91.8 82.2 87.7 94.5 97.3 91.8 57.5 24.7 84.9 19.2 19.2 21.9 83.6 63.0 61.6
CMGI-B§ 100 95.2 85.7 100 100 100 95.2 28.6 19.0 85.7 61.9 14.3 23.8 85.7 71.4 61.9
CMGI-C§ 100 100 100 100 100 100 100 14.3 14.3 14.3 14.3 14.3 14.3 0 14.3 14.3
CMGI-D§ 96.2 95.2 86.5 87.5 91.3 95.2 91.3 52.9 31.7 91.3 63.5 26.9 32.7 95.2 82.7 77.9
CMGI-E§ 99.0 98.0 98.0 96.0 99.0 97.0 99.0 25.7 17.8 9.9 17.8 10.9 20.8 10.9 10.9 8.9
CMGI-28a 91.1 88.9 86.7 86.7 91.1 95.6 88.9 53.3 44.4 73.3 71.1 86.7 66.7 86.7 93.3 95.6
CMGI-28b 100 100 83.3 91.7 100 100 91.7 33.3 100 8.3 100 100 91.7 8.3 25.0 16.7
CMGI-28c 100 83.3 75.0 83.3 83.3 91.7 83.3 25.0 16.7 33.3 8.3 75.0 50.0 75.0 91.7 91.7
pMOL28 93.4 87.5 77.6 86.2 94.1 95.4 82.2 29.6 31.6 72.4 38.8 81.6 55.9 71.7 90.1 88.2
CMGI-30a 98.4 96.8 91.9 88.7 98.4 98.4 93.5 93.5 83.9 83.9 88.7 85.5 85.5 87.1 77.4 72.6
CMGI-30b 98.8 97.6 90.4 73.5 98.8 98.8 92.8 61.4 100 71.1 95.2 95.2 95.2 96.4 66.3 59.0
pMOL30 98.6 97.2 92.6 83.3 99.1 99.1 94.4 55.6 88.0 55.6 88.4 80.1 80.1 86.6 51.4 42.6

*Percentage of genes related to a particular genomic island (CMGI) or plasmid (pMOL) displaying a positive hybridization signal by CGH. §Genomic islands identified in this study.

The strong conservation of the GIs on pMOL28 (especially CMGI-28a) and pMOL30, which carry all the metal resistance determinants of these plasmids, already indicated a high conservation of the metal responsive clusters (see below).

Next to the megaplasmids and their GIs, CH34 carries 11 previously identified GIs on chromosome 1 [6,9]. Based on CGH data analysis for the presence of GIs, the strains could again be divided into two main groups. One group (KT01, KT02, KT21, AS39, AS167, AS168 and SV661) carried almost all GIs identified in CH34, while these GIs were much less abundant in the second group (31A, CH42, CH79, NE12, NA1, NA2, NA4, 43015 and 45957) (Table 2, Figure 2). This clustering (Figure 2) resembled the clustering based on all oligonucleotide probes (Figure 1), which indicated that the presence of GIs is the main source of divergence in these strains. At least 11 strains carried CMGI-1 (or a large part of it). CMGI-1 of CH34 is a 109 kb GI of the PAGI-2 family and is almost 100% identical to PAGI-2 C of P. aeruginosa clone C isolated from a cystic fibrosis patient [9,28]. These data are in agreement with the analysis of the KT and CH strains by Klockgether et al. [28]. The relative occurrence also indicated that CMGI-5 and CMGI-7 to CMGI-11 were highly conserved when present. CMGI-2 to CMGI-4 belong to the Tn4371 family [9,11,12,29] and were previously designated ICETn43716054, ICETn43716055 and ΔICETn43716056, respectively [29]. CMGI-2 (ICETn43716054) and CMGI-3 (ICETn43716055) are responsible for CH34's ability to grow on aromatic compounds and to fix carbon dioxide, respectively. The presence of these GIs in the C. metallidurans strains is in accordance with their ability to degrade toluene or to grow on hydrogen gas and carbon dioxide (Additional file 2: Table S1). Except for NE12 that apparently lacks the genes involved in degradation of aromatic compounds but is able to degrade toluene and vice versa for AS39 that apparently carries the genes but lacked degradation ability. Therefore, NE12 putatively carries other functional genes, while for AS39 functionality is probably lost. Finally, the presence of other Tn4371-like elements in these strains can not be excluded. Especially since all strains except CH42, 31A and NA4 displayed good conservation of the partial CMGI-4 (ΔICETn43716056), which lacks the transfer module [9], and displayed positive hybridization signals related to the transfer module of CMGI-2.

The mosaic structure of the second chromosome of C. metallidurans CH34, but also other Cupriavidus, Ralstonia and Burkholderia strains, made it complicated to clearly identify GIs on this replicon. Consequently, no GIs on chromosome 2 of C. metallidurans CH34 were defined in a previous study [9]. Here we took advantage of the clear pattern of GI distribution in chromosome 1 over the 16 different C. metallidurans strains to scan chromosome 2 for similar patterns (Additional file 3: Figure S2), which could be an indication for the presence of a genomic island. Five different GIs could be identified (Tables 2 and 3, Figure 2). Interestingly, in CH34 both CMGI-B and CMGI-D flank a copy of the Tn6050 transposon. It was previously shown that in CH34 a chromosomal inversion occurred by recombination between the pair of Tn6050 transposons [9]. Therefore, CMGI-B and CMGI-D are in fact two parts of the same genomic island of 160.7 kb with at one extremity multiple genes coding for phage-related proteins (associated to phages of Ralstonia solanacearum) and at the other extremity a cluster of 22 genes in synteny with R. solanacearum. Accordingly, the relative occurrence of CMGI-B was comparable to that of CMGI-D for each strain, and both were conserved (> 60%) in 13 strains (Table 2, Figure 2). In CH34, the 120 kb CMGI-E carries at one extremity an ISRme3, three Tn7-related genes (tnsABC) and an ISRme11 inserted into tnsC. In fact a very small gene cluster (located approximately 1.89 Mb upstream or +/- 687 kb downstream) in chromosome 2 carried a ISRme3 and two Tn7-related genes (tnsD1 tnsD2). Furthermore, for each strain the presence of these genes coincides with the presence of tnsABC. To determine the relation between these distant Tn7-related genes, the STRING database (version 8.3; http://string.embl.de) was used to find genomes where these genes occur as immediate neighbors. This identified with high confidence (based on STRING parameters) orthologous groups of TnsABCD2 in Anabaena variabilis and of TnsABCD1 in Hahella chejuensis, Shigella sonnei and Idiomarina loihiensis. Additional BLASTP searches indicated the presence of this cluster also in strains more closely related to CH34 such as Burkholderia phymatum and Herminiimonas arsenicoxydans (both β-Proteobacteria). These results evidenced that a putative chromosomal inversion of a very large region (+/- 687 kb) occurred in CH34 by recombination between the pair of ISRme3 elements. In fact, before inversion the region formed a genomic island with a set of Tn7-encoded proteins (TnsABCD1D2) at one extremity and accessory genes putatively involved in the degradation of aromatic compounds.

Table 3.

Newly identified putative genomic islands on chromosome 1 and chromosome 2 of C. metallidurans CH34

GI Replicon Size (kb) Coordinates Features
CMGI-12 CHR1 9.1 2,895,950-2,905,048 Direct repeats (3' end sequence of a
boundary tRNA gene), genes coding for
hypothetical proteins
CMGI-13 CHR1 15.9 2,957,898-2,973,796 Genes involved in polysaccharide
biosynthesis
CMGI-A CHR2 87.1 813,173-900,292 ISRme1 at one extremity
CMGI-B CHR2 19.5 1,075,185-1,094,655 Multiple genes coding for phage-related
proteins (associated to phages of Ralstonia
solanacearum)
CMGI-C CHR2 7.1 1,160,750-1,167,881 Fragment of tyrosine-based site-specific
recombinase at one extremity, direct repeats
(41 bp), gene coding for mannose-binding
lectin
CMGI-D CHR2 141.2 1,217,667-1,358,908 At one extremity 22 genes in synteny with R.
solanacearum
CMGI-E CHR2 120.2 2,202,142-2,322,293 Tn7-related genes at one extremity, genes
putatively involved in degradation of
aromatic compounds

The above described observations also encouraged us to scrutinize once more chromosome 1 of CH34 for putative genomic islands (Additional file 4: Figure S3). In addition to the previously identified islands [9], at least two other putative GIs could be identified (Tables 2 and 3, Figure 2). CMGI-12 carries genes coding for hypothetical proteins and is flanked by direct repeats (3' end sequence of a boundary tRNA gene). CMGI-13 carries genes involved in polysaccharide biosynthesis, however, no genes putatively involved in mobility could be identified.

The occurrence of insertion sequences in the different C. metallidurans strains followed the same trend as that of the GIs. Based on CGH the same two main clusters could be derived. One group (KT01, KT02, KT21, AS39, AS168, AS169 and SV661) displayed positive hybridization signals for 90 to 98% of the 42 probes related to IS elements, while the second group (31A, CH42, CH79, NE12, NA1, NA2, NA4, 43015 and 45957) only displayed 43 to 62% positive signals (data not shown).

The occurrence of transposon Tn6048 displayed the same pattern as for the IS elements and GIs, however, Tn6049 and the mercury transposons (Tn4378 and Tn4380) appear to be present in all strains (data not shown).

Heavy metal resistance genes

The presence of all gene clusters, which are identified in CH34 as involved in heavy metal detoxification, was evaluated in the genomes of the other strains (Table 4). Almost all metal responsive clusters where found in the other isolates, however, some clusters did not fully correspond to those from CH34. The metal resistance arsenal of CH34 is most conserved in KT21 followed by KT02, AS39, AS167 and SV661. These strains also grouped into a separate cluster based on total genome comparison (Figure 1).

Table 4.

Occurrence of C. metallidurans CH34 metal resistance gene clusters in C. metallidurans strains as indicated by CGHa, b

Gene cluster in CH34c, d AS39 AS167 AS168 KT01 KT02 KT21 SV661 CH42 CH79 31A NE12 NA1 NA2 NA4 43015 45957
cdfX, pbrR2cadA pbrC2, XAC2 XAC2 XAC2 XAC2 XAC2 XAC2 XAC2 XAC2
pbrR3
pbrUb|UaTR pbrABCD R UbUa UbRAD UbRABCD
merRTPA'A″ R R R R R RPA RPA R R RA
merRTPADE urf-2
merRTPADE urf-2
merRTΔP RTΔP RTΔP RTΔP RTΔP RTΔP RTΔP RTΔP RTΔP RTΔP
ChrBAF F F BF BF BF BF
chrIBACEFONPYZ IBACEOY IBACEFOY Z BO O
cusDCBAF D D D DB D D D D
silDCBA cusΔF C F F
copSRABCD S S SC SC C C SC SC C SC C C C SC C
copV-W(*) IJF KCIJFOH FH
czcLRS ubiG czcBa|BbCI I I I I I
zntA
czcMNICBADRSEJ ompP B BS ompP S S ompP S
czcP ompP
nimBAa|AbC C C BC BC C C C BC BC C C
cnrYXHCBAT HC HC YHC HC HC C HC YXHCBA YXHCBAT C HC HC YXHCA C C
nccCB″B'A nreB CB' CB B' CB"B'A B" B" CB' CB"B'A
arsPHC1BC2IRM
cupRAC R R
agrCBARS S S B
hmzRS hmzBΔA RB RB RBA RBA R R B RSBΔA RSBΔA RSBΔA R R B RSBΔA R R
hmvCBΔA CB C BA BA BA BA A
zniABCSR znePRSCAB(#) Ci Ci Ci Ci Ci Ci Ci Ci Ci Ci Ci CiCe CiCe Ci
hmyCB|hmyA C C A A

aOnly genes that did not display positive hybridization signals are shown. bSee ref. [8] for the extensive and descriptive table with metal detoxifications in C. metallidurans CH34. cUnderlined genes are regulators; dInsertion (IS or Tn), frameshift and truncation are indicated by (|), (','') and (Δ), respectively. *Complete cluster is copVTKMNSRABCDIJGFOLQHEW; #zniC (Ci) and zneC (Ce).

A noticeable phenotypic difference was observed for nickel, chromate and lead resistance compared to CH34 (Additional file 2: Table S2). For most isolates, including CH34, the maximum tolerable nickel concentration is around 4 mM, however, this concentration is much higher for NA4, KT01, KT02, KT21 and 31A (Additional file 2: Table S2). For strains 31A and KT02, it has been shown that the nccYXHCBAN locus is responsible for the resistance to 40 mM nickel [30]. The nccCBA locus in CH34 bears a frameshift in nccB indicating that the ncc genes probably are not functional [5]. The pMOL28-encoded chromate cluster (chrIchrBACEFONPYZ) is almost completely absent in strains CH42 and CH79 (Table 4). Concordantly, the maximum tolerable chromate concentration for these strains is around 0.1 mM, while this concentration is around 0.2 mM for the other strains (Additional file 2: Table S2). Similarly, the pMOL30-encoded lead cluster (pbrABCD) is almost completely absent in strains 43015 and 45957 (Table 4), resulting in a lower MTC compared to the other strains (Additional file 2: Table S2).

Strain CH34 carries several metal resistance genes that are putatively inactivated by frame shift mutation (like nccB, see above), truncation or insertion by an IS element or transposon (Table 4). The presence of three different insertions was evaluated for all isolates, specifically (i) insertion of IS1088 between hmyA and hmyB (coding for part of a resistance-nodulation-cell division (RND) transporter), (ii) insertion of ISRme3 in nimA (coding part of system), and (iii) insertion of Tn6049 in pbrU (encoding a Major Facilitator Superfamily permease).

The presence of these insertions followed the same trend as the occurrence of insertion sequences (described above). Insertions of IS1088, ISRme3 and Tn6049 were present in strains KT01, KT02, KT21, AS39, AS167, AS168 and SV661 but not in strains CH42, CH79, 31A, NE12, NA1, NA2, NA4, 43015 and 45957 (data not shown). The occurrence of an insertion in nimBAC, which codes for a RND transporter putatively involved in the resistance to Ni2+ and Co2+ [3,8], does not clearly influence the MTC of nickel or cobalt, however, the presence of other (plasmid-encoded) Ni2+ and Co2+ resistance determinants could mask this. Similarly, the occurrence of an insertion in pbrU is not univocally related to a lower MTC (Additional file 2: Table S2). Finally, it should be noted that potentially additional metal resistance determinants could be present in the other strains, which are undetectable with a CGH array based on the CH34 genome.

Genes encoding sigma factors and small stress responsive proteins

No less than 18 different sigma factors were identified in C. metallidurans CH34, which enable specific binding of RNA polymerase to promoters, and are activated in response to different environmental changes [8]. Generally, the number and diversity of sigma factor genes in a certain genome relates to the environmental variation allowing growth [31], which thus indicates that C. metallidurans CH34 is able to respond to a broad range of environmental changes. CGH showed for all C. metallidurans strains positive signals for 12 sigma factors (Additional file 2: Table S3). Hybridization signals below the threshold were found for the housekeeping sigma-70 factors RpoD1 and RpoD2 for strain AS168, KT01 and CH79, and NE12, NA1 and 45957, respectively. Sigma factor CnrH carried by plasmid pMOL28 and encoded by the cnr gene cluster, which is involved in nickel resistance, was only observed for KT21, 31A, NA4, 43015 and 45957. Next to these, differences were observed for RpoR (for strains KT01, CH79, AS39, AS167, AS168, 31A, SV661), RpoP (for strains CH79, NE12, NA1, NA2, 43015 and 45957) and RpoJ (for strain NA4).

Another interesting group of genes in CH34 consists of 19 homologous genes encoding for putative small (between 69 and 165 amino acids) stress responsive proteins in CH34, which are likely to be secreted since all have a distinctive signal peptide and are apparently only found in Cupriavidus and Ralstonia species [8]. Ten of these genes were found to be induced in response to different heavy metals [7] like the pMOL30-encoded copQ [32] and czcJ [33], while three others were induced by hydrogen peroxide (Saiful Islam Muhammed, pers. comm.). CGH indicated that these genes are well conserved among C. metallidurans strains (Additional file 2: Table S4).

Discussion

Comparative whole-genome hybridization (CGH) was used to compare sixteen C. metallidurans strains isolated from different biotopes with type strain CH34. Although the nature of these sites differs, ranging from pharmaceutical and space industry to metal mining and metal industries, waste treatment plants and even human infection, at least the oligotrophic aspect is common.

The global comparison indicated that while chromosome 1 is the ancestral replicon of the Cupriavidus genus, chromosome 2 appears to be more specific to and conserved within the C. metallidurans species. These results are in agreement with the study of Bavishi and colleagues [34], which indicated that chromosome 2 evolves faster than chromosome 1, leading to different conservation on inter- and intraspecies level. This global comparison also indicated that strain CH34 is more closely related to strains isolated from Congo than with the two other strains (CH42 and CH79) isolated in Belgium. This supports an old assumption that strain CH34 was transported into Belgium by the import of ores from Congo, which was a Belgian colony from 1908 until 1960.

The incidence of MGEs showed a clear pattern as well as evident phenotypes carried by them like the degradation of toluene or the ability to grow on H2 and CO2. No clear correlation was found between the occurrence of some MGEs and isolation site characteristics and location (geographic). However, it was apparent that strains carried either most of the MGEs or only a few. Interestingly, strains isolated from more hygienic settings like clinical, pharmaceutical or spacecraft environments carried almost no MGEs contrary to strains isolated from sites related to raw materials or environmental sources. This could indicate that either acquisition or loss of these MGEs was advantageous at one point enabling their spread in numerous environments and locations. For example, the MGEs related to hydrogenotrophy and degradation of toluene may recall to the volcanic origin [35-37] and such MGEs may have been dispensable and lost in technologized environments. Whereas MGEs with a putative link (however without direct evidence at this time) to opportunistic infection were maintained, such as CMGI-1, which is almost identical to the PAGI-2 C island identified in Pseudomonas aeruginosa clone C (isolated from a cystic fibrosis patient), and CMGI-11, which carries fimbrial genes.

The clear presence or absence of a multitude of MGEs in this group of C. metallidurans strains allowed us to further scrutinize the genome of CH34 for MGEs, especially in the second chromosome. At least five additional regions could be identified with one island formed by a Tn7-like transposon carrying accessory genes putatively involved in the degradation of certain aromatic compounds. Genomic islands formed by Tn7-like transposons have been identified in H. chejuensis, S. sonnei and I. loihiensis, in which Tn7 inserted into the attTn7 site adjacent to a glmS gene [38]. In C. metallidurans CH34 this Tn7-like element is not found within the attTn7 site and in addition lacks the tnsE gene and possesses two distinct tnsD genes. Parks and Peters [39] showed that the presence of two distinct tnsD genes is common in Tn7-like elements that are not found within the attTn7 site and hypothesized that one of the TnsD proteins might actually allow non-specific target site recognition.

Both the CGH and physiological data indicated that the heavy metal resistance determinants identified in C. metallidurans CH34 are well conserved among other C. metallidurans strains. This strong conservation was also observed for genes encoding small stress responsive proteins and sigma factors, of which at least a part are involved in metal resistance [7,40].

The incidence of these metal resistance determinants could, however, not be directly related to their isolation source (biotype) nor location (geographic). This indicates that these resistance determinants are probably acquired earlier in evolution, which is consistent with the hypothesis that toxic metal resistance systems are preexistent to the recent anthropogenic activities and arose soon after life began, in a world already polluted by volcanic activities [41]. However, taking into account that most of the metal determinants are on the native megaplasmids and the GIs thereon, it could be argued that anthropogenic activities and technologized environments provided a selective pressure for the conservation of these determinants or even the acquisition of some, considering both the arsenal of determinants as well as the level of resistance to metals. Putatively, these determinants may even render a higher fitness in infections as these megaplasmids, despite their fitness cost, are also present in strains isolated from human infections. The structural and functional characteristics that metal resistance systems share with antibiotic resistance systems could be significant for this [42].

Conclusions

Our comparative study showed that most metal resistance determinants identified in C. metallidurans CH34 are common to all C. metallidurans strains irrespective of the strain's isolation type and place. C. metallidurans strains do display considerable differences in the diversity and size of their mobile gene pool, which reflects at least some metabolic properties.

Methods

Strains, media and culture conditions

C. metallidurans strains used in this study are summarized in Table 1 and were routinely cultured at 30°C in Tris-buffered mineral medium (MM284) supplemented with 0.2% (wt/vol) gluconate as described previously [43]. Autotrophic growth on H2 and CO2 was scored by incubating on MM284 agar medium (without gluconate) under an atmosphere of H2/CO2/O2 (approximately 75:15:10; by vol.). Growth on toluene was scored by growing strains on MM284 agar medium (without gluconate) in a closed container saturated with toluene vapor. The maximum tolerable concentration (MTC), which is the highest tested concentration of a substance for which bacterial growth could be observed, was determined for ZnSO4, SrCl2, CoCl2, NiCl2 and K2CrO4 in liquid MM284. A stationary phase culture of each isolate was diluted 100-fold in liquid MM284 containing the metal concentration of interest. Cultures were incubated at 30°C and after 72 hours the MTC was scored. The MTC for Pb(NO3)2 was determined similarly except the analysis medium contained 0.4 g/L peptone, 0.4 g/L yeast extract, 0.4 g/L tryptone and 10 mM 2-N-morpholinoethanesulfonic acid to buffer the pH at 6.5 [adapted from [44]].

Molecular analyses

Standard techniques were used for PCR and agarose gel electrophoresis. The oligonucleotides used for PCR were synthesized by Eurogentec (Seraing, Belgium) and are listed in Additional file 2: Table S5. Genomic DNA (gDNA) was prepared using the QIAamp DNA mini kit (Qiagen, Venlo, The Netherlands). Extraction of megaplasmids was based on the method of Andrup et al. [45].

Genomic DNA labeling, array hybridization, washing and scanning

Four μg of gDNA was fragmented to 50 to 150 bp by partial digestion with Sau3AI (Fermentas, St. Leon-Rot, Germany). Next, gDNA was labeled with the BioPrime® Array CGH Genomic Labeling System (Invitrogen, Merelbeke, Belgium). Labeled gDNA was re-suspended in the universal hybridization buffer of the Pronto kit (Promega, United States), mixed and added to the spotted slide (GEO accession number Platform GPL4980) for overnight hybridization at 42°C in a Tecan HS4800 Pro hybridization station (Tecan Group Ltd, Switzerland). Afterwards, slides were washed according to Pronto kit's protocol. Slides were scanned (at 532 and 635 nm) using the GenePix Personal 4100A microarray scanner (Molecular Devices©, USA).

Array data and clustering analysis

Microarray spot-signals were analyzed using the GenePix Pro v.6.0.1 software and flagged according to build-in quality criteria. Raw median intensity data were imported into R version 2.13.1 for statistical analysis using the LIMMA package version 2.15.15 [46] as available from BioConductor. Raw data were background-corrected based on convolution of normal and exponential distributions with an offset of 50 [47]. Data were normalized within each array using the printing-tip loess normalization algorithm [48]. The microarray data have been deposited in the Gene Expression Omnibus website http://www.ncbi.nlm.nih.gov/geo/ under accession number GSE36303. Analysis of previously characterized C. metallidurans CH34 derivatives (loss of either pMOL28 or pMOL30 [5], IS1071-mediated loss of growth on CO2 and H2 [10]) allowed us to validate and optimize the trade-off between the number of false-positives and false-negatives. In the final analyses, a cut-off of 20-fold change in hybridization intensity compared to the background was used (Additional file 5: Table S6; GSE36303). Hierarchical clustering was performed using the complete linkage method with the hclust software from the R-package stats (version 2.13.1). Hierarchical clustering was obtained based on the pair-wise correlation between the different strains of the percentage of overlapping genes and percentage of GI genes conserved in Figures 1 and 2, respectively. Bootstrap values (n = 1000) were obtained using the R-package pvclust [49]. Heatmaps were produced using the heatmap.2 function as implemented in the R-package gplots (version 2.10.1). Gene annotations were retrieved from the up-to-date annotation of the different replicons of C. metallidurans CH34 available on GenoScope's MaGe system [50].

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

PM performed the bioinformatics analyses. RVH wrote the manuscript. KM, AP and AJ provided experimental data. RVH, MM and NL provided the intellectual framework of the study and recommended analyses. All authors read and approved the final manuscript.

Supplementary Material

Additional file 1

Figure S1. Plasmid patterns of C. metallidurans strains. Agarose gel electrophoresis of plasmid extracts from strains CH34 (1 and 18), KT01 (2), KT02 (3), KT21 (4), CH42 (5), CH79 (6), AS39 (7), AS167 (8), AS168 (9), 31A (10), SV661 (11), 43015 (12), 45957 (13), NE12 (14), NA1 (15), NA2 (16), and NA4 (17). Lower band represents chromosomal DNA (PDF 33 kb).

Click here for file (33.2KB, PDF)
Additional file 2

Word document containing the Supplementary Tables 1 to 5 (DOC 146 kb).

Click here for file (146KB, DOC)
Additional file 3

Figure S2. Cartographic map of chromosome 2 of the different C. metallidurans strains. Negative hybridization signals are highlighted red. Newly identified putative genomic islands are indicated by blue bars (PDF 23 kb).

Click here for file (23.5KB, PDF)
Additional file 4

Figure S3. Cartographic map of chromosome 1 of the different C. metallidurans strains. Negative hybridization signals are highlighted red. Previously identified genomic islands are indicated by dark blue bars. Newly identified putative genomic islands are indicated by green bars (PDF 33 kb).

Click here for file (33.2KB, PDF)
Additional file 5

Table S6. (excel document) with the results of the comparative genomic hybridization (XLS 2902 kb).

Click here for file (2.8MB, XLS)

Contributor Information

Rob Van Houdt, Email: rvhoudto@sckcen.be.

Pieter Monsieurs, Email: pmonsieu@sckcen.be.

Kristel Mijnendonckx, Email: kmijnend@sckcen.be.

Ann Provoost, Email: aprovoos@sckcen.be.

Ann Janssen, Email: ajanssen@sckcen.be.

Max Mergeay, Email: mmergeay@sckcen.be.

Natalie Leys, Email: nleys@sckcen.be.

Acknowledgements

This work was supported by the European Space Agency (ESA-PRODEX) and the Belgian Science Policy (Belspo) through the COMICS project (C90356). Kristel Mijnendonckx is a PhD student at the Laboratory of Food and Environmental Microbiology (Université catholique de Louvain, Belgium), and at the Unit of Microbiology (SCK•CEN, Belgium). KM is financed through the COMICS project and an AWM PhD grant from SCK•CEN. Thanks to Mark C. Ott and Kasthuri Venkateswaran for kindly providing space-related C. metallidurans strains.

References

  1. Silver S, le Phung T. A bacterial view of the periodic table: genes and proteins for toxic inorganic ions. J Ind Microbiol Biotechnol. 2005;32:587–605. doi: 10.1007/s10295-005-0019-6. [DOI] [PubMed] [Google Scholar]
  2. Goris J, De Vos P, Coenye T, Hoste B, Janssens D, Brim H, Diels L, Mergeay M, Kersters K, Vandamme P. Classification of metal-resistant bacteria from industrial biotopes as Ralstonia campinensis sp nov., Ralstonia metallidurans sp nov and Ralstonia basilensis Steinle et al. 1998 emend. Int J Syst Evol Microbiol. 2001;51:1773–1782. doi: 10.1099/00207713-51-5-1773. [DOI] [PubMed] [Google Scholar]
  3. Mergeay M, Monchy S, Vallaeys T, Auquier V, Benotmane A, Bertin P, Taghavi S, Dunn J, van der Lelie D, Wattiez R. Ralstonia metalliduran, a bacterium specifically adapted to toxic metals: towards a catalogue of metal-responsive genes. FEMS Microbiol Rev. 2003;27:385–410. doi: 10.1016/S0168-6445(03)00045-7. [DOI] [PubMed] [Google Scholar]
  4. Mergeay M. In: Bacterial Stress Responses. Storz G, Hengge-Aronis R, editor. Washington D.C: ASM Press; 2000. Bacteria adapted to industrial biotopes: the metal resistant Ralstoni; pp. 403–414. [Google Scholar]
  5. Monchy S, Benotmane MA, Janssen P, Vallaeys T, Taghavi S, van der Lelie D, Mergeay M. Plasmids pMOL28 and pMOL30 of Cupriavidus metalliduran are specialized in the maximal viable response to heavy metals. J Bacteriol. 2007;189:7417–7425. doi: 10.1128/JB.00375-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Mergeay M, Monchy S, Janssen P, Van Houdt R, Leys N. In: Microbial megaplasmids. Volume 11. Schwartz E, editor. Berlin: Springer; 2009. Megaplasmids in Cupriavidus genus and metal resistance; pp. 209–238. [Steinbüchel A (Series Editor): Microbiology Monographs] [Google Scholar]
  7. Monsieurs P, Moors H, Van Houdt R, Janssen PJ, Janssen A, Coninx I, Mergeay M, Leys N. Heavy metal resistance in Cupriavidus metallidurans CH34 is governed by an intricate transcriptional network. Biometals. 2011;24:1133–1151. doi: 10.1007/s10534-011-9473-y. [DOI] [PubMed] [Google Scholar]
  8. Janssen PJ, Van Houdt R, Moors H, Monsieurs P, Morin N, Michaux A, Benotmane MA, Leys N, Vallaeys T, Lapidus A. et al. The complete genome sequence of Cupriavidus metalliduran strain CH34, a master survivalist in harsh and anthropogenic environments. PLoS One. 2010;5:e10433. doi: 10.1371/journal.pone.0010433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Van Houdt R, Monchy S, Leys N, Mergeay M. New mobile genetic elements in Cupriavidus metalliduran CH34, their possible roles and occurrence in other bacteria. Antonie Van Leeuwenhoek. 2009;96:205–226. doi: 10.1007/s10482-009-9345-4. [DOI] [PubMed] [Google Scholar]
  10. Mijnendonckx K, Provoost A, Monsieurs P, Leys N, Mergeay M, Mahillon J, Van Houdt R. Insertion sequence elements in Cupriavidus metalliduran CH34: Distribution and role in adaptation. Plasmid. 2011;65:193–203. doi: 10.1016/j.plasmid.2010.12.006. [DOI] [PubMed] [Google Scholar]
  11. Ryan MP, Pembroke JT, Adley CC. Novel Tn437-ICE like element in Ralstonia picketti and genome mining for comparative elements. BMC Microbiol. 2009;9:242. doi: 10.1186/1471-2180-9-242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Toussaint A, Merlin C, Monchy S, Benotmane MA, Leplae R, Mergeay M, Springael D. The biphenyl- and 4-chlorobiphenyl-catabolic transposon Tn437, a member of a new family of genomic islands related to IncP and Ti plasmids. Appl Environ Microbiol. 2003;69:4837–4845. doi: 10.1128/AEM.69.8.4837-4845.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Brim H, Heyndrickx M, de Vos P, Wilmotte A, Springael D, Schlegel HG, Mergeay M. Amplified rDNA restriction analysis and further genotypic characterisation of metal-resistant soil bacteria and related facultative hydrogenotrophs. Syst Appl Microbiol. 1999;22:258–268. doi: 10.1016/S0723-2020(99)80073-3. [DOI] [PubMed] [Google Scholar]
  14. Diels L, Mergeay M. DNA probe-mediated detection of resistant bacteria from soils highly polluted by heavy metals. Appl Environ Microbiol. 1990;56:1485–1491. doi: 10.1128/aem.56.5.1485-1491.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. La Duc MT, Nicholson W, Kern R, Venkateswaran K. Microbial characterization of the Mars Odyssey spacecraft and its encapsulation facility. Environ Microbiol. 2003;5:977–985. doi: 10.1046/j.1462-2920.2003.00496.x. [DOI] [PubMed] [Google Scholar]
  16. La Duc MT, Kern R, Venkateswaran K. Microbial monitoring of spacecraft and associated environments. Microb Ecol. 2004;47:150–158. doi: 10.1007/s00248-003-1012-0. [DOI] [PubMed] [Google Scholar]
  17. Pierson DL. Microbial contamination of spacecraft. Gravit Space Biol Bull. 2001;14:1–6. [PubMed] [Google Scholar]
  18. Ott CM, Bruce RJ, Pierson DL. Microbial characterization of free floating condensate aboard the Mir space station. Microb Ecol. 2004;47:133–136. doi: 10.1007/s00248-003-1038-3. [DOI] [PubMed] [Google Scholar]
  19. Baker PW, Leff L. The effect of simulated microgravity on bacteria from the Mir space station. Microgravity Sci Technol. 2004;15:35–41. doi: 10.1007/BF02870950. [DOI] [PubMed] [Google Scholar]
  20. Coenye T, Spilker T, Reik R, Vandamme P, Lipuma JJ. Use of PCR analyses to define the distribution of Ralstoni species recovered from patients with cystic fibrosis. J Clin Microbiol. 2005;43:3463–3466. doi: 10.1128/JCM.43.7.3463-3466.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Langevin S, Vincelette J, Bekal S, Gaudreau C. First case of invasive human infection caused by Cupriavidus metalliduran. J Clin Microbiol. 2011;49:744–745. doi: 10.1128/JCM.01947-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Timotius K, Schlegel HG. Aus Abwässern isolierte nickel-resistente Bakterien. Nachr Akad Wiss Göttingen II Math-Physik. 1987;Klasse 3:15–23. [Google Scholar]
  23. Schmidt T, Stoppel RD, Schlegel HG. High-level nickel resistance in Alcaligenes xylosoxydan 31A and Alcaligenes eutrophu KTO2. Appl Environ Microbiol. 1991;57:3301–3309. doi: 10.1128/aem.57.11.3301-3309.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Mergeay M, Houba C, Gerits J. Extrachromosomal inheritance controlling resistance to cadmium, cobalt, copper and zinc ions: evidence from curing a Pseudomona. Arch Int Physiol Biochim Biophys. 1978;86:440–442. [PubMed] [Google Scholar]
  25. Newcombe DA, La Duc MT, Vaishampayan P, Venkateswaran K. Impact of assembly, testing and launch operations on the airborne bacterial diversity within a spacecraft assembly facility clean-room. Int J Astrobiol. 2008;7:223–236. doi: 10.1017/S1473550408004254. [DOI] [Google Scholar]
  26. Bobe LS, Kochetkov AA, Soloukhin VA, Andreichuk PO, Protasov NN, Sinyak Y. International Conference On Environmental Systems; San Francisco, CA, USA. SAE International; 2008. SRV-K Status Aboard the International Space Station during Missions 15 and 16. [Google Scholar]
  27. Schmidt T Schlegel HG Nickel and cobalt resistance of various bacteria isolated from soil and highly polluted domestic and industrial wastes FEMS Microbiol Lett 198962315–328. 10.1111/j.1574-6968.1989.tb03386.x2568308 [DOI] [Google Scholar]
  28. Klockgether J, Wurdemann D, Reva O, Wiehlmann L, Tummler B. Diversity of the abundant pKLC102/PAGI-2 family of genomic islands in Pseudomonas aeruginos. J Bacteriol. 2007;189:2443–2459. doi: 10.1128/JB.01688-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Van Houdt R, Toussaint A, Ryan MP, Pembroke JT, Mergeay M, Adley CC. In: Bacterial Integrative Mobile Genetic Elements. Roberts AP, Mullany P, Austin TX, editor. Landes Bioscience; 2012. The Tn437 ICE Family of Bacterial Mobile Genetic Elements.http://www.ncbi.nlm.nih.gov/books/NBK63532/ [Google Scholar]
  30. Schmidt T, Schlegel HG. Combined nickel-cobalt-cadmium resistance encoded by the nc locus of Alcaligenes xylosoxidan 31A. J Bacteriol. 1994;176:7045–7054. doi: 10.1128/jb.176.22.7045-7054.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kill K, Binnewies TT, Sicheritz-Ponten T, Willenbrock H, Hallin PF, Wassenaar TM, Ussery DW. Genome update: sigma factors in 240 bacterial genomes. Microbiology. 2005;151:3147–3150. doi: 10.1099/mic.0.28339-0. [DOI] [PubMed] [Google Scholar]
  32. Monchy S, Benotmane MA, Wattiez R, van Aelst S, Auquier V, Borremans B, Mergeay M, Taghavi S, van der Lelie D, Vallaeys T. Transcriptomic and proteomic analyses of the pMOL30-encoded copper resistance in Cupriavidus metalliduran strain CH34. Microbiology. 2006;152:1765–1776. doi: 10.1099/mic.0.28593-0. [DOI] [PubMed] [Google Scholar]
  33. Scherer J, Nies DH. CzcP is a novel efflux system contributing to transition metal resistance in Cupriavidus metalliduran CH34. Mol Microbiol. 2009;73:601–621. doi: 10.1111/j.1365-2958.2009.06792.x. [DOI] [PubMed] [Google Scholar]
  34. Bavishi A, Abhishek A, Lin L, Choudhary M. Complex prokaryotic genome structure: rapid evolution of chromosome II. Genome. 2010;53:675–687. doi: 10.1139/G10-046. [DOI] [PubMed] [Google Scholar]
  35. Sato Y, Nishihara H, Yoshida M, Watanabe M, Rondal JD, Concepcion RN, Ohta H. Cupriavidus pinatubonensi sp. nov. and Cupriavidus lahari sp. nov., novel hydrogen-oxidizing, facultatively chemolithotrophic bacteria isolated from volcanic mudflow deposits from Mt. Pinatubo in the Philippines. Int J Syst Evol Microbiol. 2006;56:973–978. doi: 10.1099/ijs.0.63922-0. [DOI] [PubMed] [Google Scholar]
  36. Wachtershauser G. From volcanic origins of chemoautotrophic life to Bacteria, Archaea and Eukarya. Philos Trans R Soc Lond B Biol Sci. 2006;361:1787–1806. doi: 10.1098/rstb.2006.1904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Gribble GW. Naturally occurring organohalogen compounds - a comprehensive update. Springer, New York; 2010. [Google Scholar]
  38. Parks AR, Peters JE. Transposon Tn is widespread in diverse bacteria and forms genomic islands. J Bacteriol. 2007;189:2170–2173. doi: 10.1128/JB.01536-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Parks AR, Peters JE. Tn elements: engendering diversity from chromosomes to episomes. Plasmid. 2009;61:1–14. doi: 10.1016/j.plasmid.2008.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Grosse C, Friedrich S, Nies DH. Contribution of extracytoplasmic function sigma factors to transition metal homeostasis in Cupriavidus metalliduran strain CH34. J Mol Microbiol Biotechnol. 2007;12:227–240. doi: 10.1159/000099644. [DOI] [PubMed] [Google Scholar]
  41. Silver S, Phung LT. Bacterial heavy metal resistance: New surprises. Annu Rev Microbiol. 1996;50:753–789. doi: 10.1146/annurev.micro.50.1.753. [DOI] [PubMed] [Google Scholar]
  42. Baker-Austin C, Wright MS, Stepanauskas R, McArthur JV. Co-selection of antibiotic and metal resistance. Trends Microbiol. 2006;14:176–182. doi: 10.1016/j.tim.2006.02.006. [DOI] [PubMed] [Google Scholar]
  43. Mergeay M, Nies D, Schlegel HG, Gerits J, Charles P, Van Gijsegem F. Alcaligenes eutrophu CH34 is a facultative chemolithotroph with plasmid-bound resistance to heavy metals. J Bacteriol. 1985;162:328–334. doi: 10.1128/jb.162.1.328-334.1985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Konopka A, Zakharova T. Quantification of bacterial lead resistance via activity assays. J Microbiol Methods. 1999;37:17–22. doi: 10.1016/S0167-7012(99)00032-9. [DOI] [PubMed] [Google Scholar]
  45. Andrup L, Barfod KK, Jensen GB, Smidt L. Detection of large plasmids from the Bacillus cereu group. Plasmid. 2008;59:139–143. doi: 10.1016/j.plasmid.2007.11.005. [DOI] [PubMed] [Google Scholar]
  46. Smyth GK. In: Bioinformatics and Computational Biology Solutions using R and Bioconductor. Gentleman R, Carey V, Dudoit S, Irizarry R, Huber W, editor. New York: Springer; 2005. Limma: linear models for microarray data; pp. 397–420. [Google Scholar]
  47. Ritchie ME, Silver J, Oshlack A, Holmes M, Diyagama D, Holloway A, Smyth GK. A comparison of background correction methods for two-colour microarrays. Bioinformatics. 2007;23:2700–2707. doi: 10.1093/bioinformatics/btm412. [DOI] [PubMed] [Google Scholar]
  48. Smyth GK, Speed T. Normalization of cDNA microarray data. Methods. 2003;31:265–273. doi: 10.1016/S1046-2023(03)00155-5. [DOI] [PubMed] [Google Scholar]
  49. Suzuki R, Shimodaira H. Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics. 2006;22:1540–1542. doi: 10.1093/bioinformatics/btl117. [DOI] [PubMed] [Google Scholar]
  50. Vallenet D, Labarre L, Rouy Z, Barbe V, Bocs S, Cruveiller S, Lajus A, Pascal G, Scarpelli C, Medigue C. MaGe: a microbial genome annotation system supported by synteny results. Nucleic Acids Res. 2006;34:53–65. doi: 10.1093/nar/gkj406. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Additional file 1

Figure S1. Plasmid patterns of C. metallidurans strains. Agarose gel electrophoresis of plasmid extracts from strains CH34 (1 and 18), KT01 (2), KT02 (3), KT21 (4), CH42 (5), CH79 (6), AS39 (7), AS167 (8), AS168 (9), 31A (10), SV661 (11), 43015 (12), 45957 (13), NE12 (14), NA1 (15), NA2 (16), and NA4 (17). Lower band represents chromosomal DNA (PDF 33 kb).

Click here for file (33.2KB, PDF)
Additional file 2

Word document containing the Supplementary Tables 1 to 5 (DOC 146 kb).

Click here for file (146KB, DOC)
Additional file 3

Figure S2. Cartographic map of chromosome 2 of the different C. metallidurans strains. Negative hybridization signals are highlighted red. Newly identified putative genomic islands are indicated by blue bars (PDF 23 kb).

Click here for file (23.5KB, PDF)
Additional file 4

Figure S3. Cartographic map of chromosome 1 of the different C. metallidurans strains. Negative hybridization signals are highlighted red. Previously identified genomic islands are indicated by dark blue bars. Newly identified putative genomic islands are indicated by green bars (PDF 33 kb).

Click here for file (33.2KB, PDF)
Additional file 5

Table S6. (excel document) with the results of the comparative genomic hybridization (XLS 2902 kb).

Click here for file (2.8MB, XLS)

Articles from BMC Genomics are provided here courtesy of BMC

RESOURCES