Literature DB >> 26221420

Draft genome sequence of Methylibium sp. strain T29, a novel fuel oxygenate-degrading bacterial isolate from Hungary.

Zsolt Szabó1, Péter Gyula1, Hermina Robotka1, Emese Bató1, Bence Gálik1, Péter Pach1, Péter Pekker2, Ildikó Papp1, Zoltán Bihari1.   

Abstract

Methylibium sp. strain T29 was isolated from a gasoline-contaminated aquifer and proved to have excellent capabilities in degrading some common fuel oxygenates like methyl tert-butyl ether, tert-amyl methyl ether and tert-butyl alcohol along with other organic compounds. Here, we report the draft genome sequence of M. sp. strain T29 together with the description of the genome properties and its annotation. The draft genome consists of 608 contigs with a total size of 4,449,424 bp and an average coverage of 150×. The genome exhibits an average G + C content of 68.7 %, and contains 4754 protein coding and 52 RNA genes, including 48 tRNA genes. 71 % of the protein coding genes could be assigned to COG (Clusters of Orthologous Groups) categories. A formerly unknown circular plasmid designated as pT29A was isolated and sequenced separately and found to be 86,856 bp long.

Entities:  

Keywords:  Betaproteobacteria; Bioremediation; Draft genome; Fuel oxygenates; Methylibium

Year:  2015        PMID: 26221420      PMCID: PMC4517660          DOI: 10.1186/s40793-015-0023-z

Source DB:  PubMed          Journal:  Stand Genomic Sci        ISSN: 1944-3277


Introduction

Fuel oxygenates like MTBE, ETBE and TAME have been blended into gasoline for decades to boost octane ratings and to improve the efficiency of fuel combustion in engines. But being the most water-soluble components of gasoline they have simultaneously become some of the most frequently detected pollutants in groundwater posing a serious threat to drinking water supplies [1]. Moreover, recent studies have reported that they can be carcinogenic in humans [2], so remediation of the sites polluted with these compounds became an important issue. Several microbial consortia and individual bacterial strains were isolated so far being capable of their degradation to various extents [3, 4]. However, only a few of them were studied in detail and there are even fewer cases where the genetic and enzymatic background of the degradation is elucidated at least in some aspects. PM1 was one of the first isolated individual MTBE-degrading strains originated from a compost-filled biofilter in Los Angeles, California, USA [5]. To date it is the only representative of the genus identified at the species level [6, 7]. During laboratory experiments it proved to have outstanding MTBE-degrading ability and it was tested in a bioaugmentation field study, too [8]. Afterwards, a number of bacteria closely related to PM1 were detected based on 16S rDNA sequences at MTBE-contaminated sites at different geographic locations suggesting that the genus might have an important role in MTBE biodegradation [8, 9]. Later its complete genome sequence was published which revealed that besides the 4 Mb circular chromosome, PM1 possesses a ~600 kb megaplasmid carrying the genes involved in MTBE degradation [10]. At present, no genome sequence information is available for other members of the genus. As part of a French-Hungarian project aiming to characterize novel fuel oxygenate-degrading bacteria at the genomic level, we have isolated a novel strain. The MTBE-degrading capacity of the strain was as high as the PM1’s but some of its genetic and metabolic characteristics were found to be significantly different. Here we present the classification and features of sp. T29 together with the description of the draft genome sequence and annotation compared to the reference strain PM1.

Organism information

Classification and features

A novel potent MTBE-degrading bacterial strain designated as T29 was isolated from a mixed bacterial culture enriched from gasoline-contaminated groundwater samples collected from the area of Tiszaújváros, Hungary. The enrichment culture was supplemented with tert-butyl alcohol (TBA), one of the known key intermediates of MTBE biodegradation, as the sole carbon source. The strain was found to be able to utilize the following compounds provided as the sole carbon and energy sources: MTBE, TAME, TBA, 2-HIBA, benzene, methanol, ethanol, 1-propanol, 1-butanol, formate, piruvate and acetate, but cannot grow on ETBE, DIPE, n-alkanes, toluene, ethylbenzene, o-, m- and p-xylene, 2-propanol, acetone, formaldehyde, lactate, citrate and glucose. Strain T29 was routinely maintained in mineral salts medium (124 mg/l (NH4)2SO4, 50 mg/l MgSO4 · 7H2O, 12.5 mg/l CaCl2 · 2H2O, 350 mg/l KH2PO4, 425 mg/l K2HPO4, 1 mg/l FeSO4 · 7H2O, 1 mg/l CoCl2 · 6H2O, 1 mg/l MnSO4 · H2O, 1 mg/l ZnSO4 · 7H2O, 1 mg/l Na2MoO4 · 2H2O, 1 mg/l Na2WO4 · 2H2O, 0.25 mg/l NiCl2 · 6H2O, 0.1 mg/l H3BO3, 0.1 mg/l CuSO4 · 5H2O and 1.5 % agar if necessary) containing 200 mg/l MTBE or in ½ × TSB medium (8.5 g/l pancreatic digest of casein, 1.5 g/l papaic digest of soybean meal, 2.5 g/l NaCl, 1.25 g/l K2HPO4, 1.25 g/l glucose and 1.5 % agar if necessary) at 28 °C. Cells of strain T29 form pale yellow, shiny colonies on minimal agar plates and cream colored ones on ½ × TSA plates while secreting a brownish pigment molecule (Fig. 1, panel c) reminiscent of pyomelanin produced by certain spp. and other strains belonging mainly to [11, 12]. Strain T29 stained Gram-negative and according to transmission electron micrographs (Fig. 1, panel a and b) the cell shape is coccobacillus. A smaller fraction of the cell population possesses a single polar flagellum (Fig. 1, panel b). Possible intracellular poly-β-hydroxyalkanoate granules (white spots) and possible protein inclusion bodies (dark spots) can also be observed.
Fig. 1

Transmission electron micrographs (a and b) and extracellular pigment production (c) of Methylibium sp. T29. For TEM examination the cells were suspended in 18 MΩ ultra-pure water, and 10 μl of the cell suspension was placed on carbon- and Formvar-coated 300 Mesh copper grids. Single 10 μl drops of 1 % (w/v) aqueous uranyl acetate were added to the grid for 15 s. The images were taken on a Hitachi S-4800 type (FEG) scanning electron microscope in transmission mode using 25 kV acceleration voltage. Scale bars represent 1 μm. The morphology of the cells is similar to M. petroleiphilum PM1’s [6]. While grown on ½ × TSA plates M. sp. T29 secreted a brownish pigment resembling pyomelanin produced by certain Pseudomonas spp

Transmission electron micrographs (a and b) and extracellular pigment production (c) of Methylibium sp. T29. For TEM examination the cells were suspended in 18 MΩ ultra-pure water, and 10 μl of the cell suspension was placed on carbon- and Formvar-coated 300 Mesh copper grids. Single 10 μl drops of 1 % (w/v) aqueous uranyl acetate were added to the grid for 15 s. The images were taken on a Hitachi S-4800 type (FEG) scanning electron microscope in transmission mode using 25 kV acceleration voltage. Scale bars represent 1 μm. The morphology of the cells is similar to M. petroleiphilum PM1’s [6]. While grown on ½ × TSA plates M. sp. T29 secreted a brownish pigment resembling pyomelanin produced by certain Pseudomonas spp Initial taxonomic assignment of the strain was established by comparing its 16S ribosomal RNA gene sequence to the nonredundant Silva SSU Ref database [13, 14]. Phylogenetic analysis was conducted using MEGA 6 [15]. According to the phylogenetic analysis, strain T29 belongs to the genus (Table 1). The closest relative of strain T29 is PM1 (Fig. 2).
Table 1

Classification and general features of Methylibium sp. strain T29 according to the MIGS recommendation [37]

MIGS IDPropertyTermEvidence codea
ClassificationDomain Bacteria TAS [38]
Phylum Proteobacteria TAS [39]
Class Betaproteobacteria TAS [40, 41]
Order Burkholderiales TAS [41, 42]
Family Comamonadaceae TAS [43, 44]
Genus Methylibium TAS [6, 7]
Species Methylibium sp.IDA
Strain T29IDA
Gram stainNegativeIDA
Cell shapeCoccobacillusIDA
MotilityMotileIDA
SporulationNot reportedNAS
Temperature rangeMesophilicIDA
Optimum temperature28 °CIDA
pH range; OptimumNot determined; routinely grown at pH 6.5IDA
Carbon sourceMTBE; TAME; TBA; methanol; ethanolIDA
MIGS-6HabitatSoil; GroundwaterIDA
MIGS-6.3SalinityNot reportedNAS
MIGS-22Oxygen requirementAerobicIDA
MIGS-15Biotic relationshipFree livingNAS
MIGS-14PathogenicityNon-pathogenicNAS
MIGS-4Geographic locationTiszaújváros, HungaryIDA
MIGS-5Sample collectionNov-2010IDA
MIGS-4.1Latitude47.9179167IDA
MIGS-4.2Longitude21.0285667IDA
MIGS-4.4Altitude94 mIDA

aEvidence codes – IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [45]

Fig. 2

Dendrogram indicating the phylogenetic relationships of Methylibium sp. T29 relative to other Methylibium isolates. The maximum likelihood tree was inferred from 1329 aligned positions of the 16S rRNA gene sequences and derived based on the Tamura-Nei model using MEGA 6 [15]. Delftia acidovorans SPH-1 was used as an outlier. Bootstrap values (expressed as percentages of 1000 replicates) are shown at branch points. Bar: 0.01 substitutions per nucleotide position. The corresponding GenBank accession numbers are displayed in parentheses

Classification and general features of Methylibium sp. strain T29 according to the MIGS recommendation [37] aEvidence codes – IDA: Inferred from Direct Assay; TAS: Traceable Author Statement (i.e., a direct report exists in the literature); NAS: Non-traceable Author Statement (i.e., not directly observed for the living, isolated sample, but based on a generally accepted property for the species, or anecdotal evidence). These evidence codes are from the Gene Ontology project [45] Genome sequencing project information Dendrogram indicating the phylogenetic relationships of Methylibium sp. T29 relative to other Methylibium isolates. The maximum likelihood tree was inferred from 1329 aligned positions of the 16S rRNA gene sequences and derived based on the Tamura-Nei model using MEGA 6 [15]. Delftia acidovorans SPH-1 was used as an outlier. Bootstrap values (expressed as percentages of 1000 replicates) are shown at branch points. Bar: 0.01 substitutions per nucleotide position. The corresponding GenBank accession numbers are displayed in parentheses Despite its close relatedness based on 16S rDNA sequences, the new strain differs from the type strain PM1 in several aspects. For example, unlike PM1, strain T29 is resistant to tetracycline, ampicillin [16] and mercury, and cannot grow on n-alkanes [10]. Moreover, PCR primers designed for mdpA and other known genes involved in MTBE degradation in PM1 [17] failed to detect any related sequences in strain T29 suggesting that the genetic makeup of MTBE metabolism in this strain differs significantly from the one in PM1. Pulsed field gel electrophoresis of restriction enzyme digested genomic DNA of strain T29 and PM1 revealed major differences in the genomic sequences of the two strains (data not shown). Based on the evidences above, the new strain was named as sp. T29.

Genome sequencing information

Genome project history

The genome of M. sp. T29 was sequenced by using Ion Torrent technology in our facility. The draft genome was assembled de novo using the overlap layout consensus methodology by the freely available software GS De Novo Assembler 2.9 (Roche). This Whole Genome Shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession number AZND00000000. The version described in this paper is AZND01000000. The plasmid pT29A was isolated and sequenced separately by the same technology. The assembly was performed by a different approach using SPAdes 3.0 [18]. The sequence was circularized and finished by manual editing. The full sequence of the plasmid pT29A is also available in GenBank under the accession number NC_024957.1.

Growth conditions and genomic DNA preparation

M. sp. T29 was isolated from a mixed bacterial culture enriched from gasoline-contaminated groundwater samples collected from the area of Tiszaújváros, Hungary, in November 2010. The strain was deposited into the National Collection of Agricultural and Industrial Microorganisms (NCAIM) [19] under the accession number NCAIM B.02561. For genomic DNA preparation, bacteria were grown under aerobic conditions in a tightly sealed bottle at 28 °C for 14 days in mineral salts medium supplemented with 200 mg/l MTBE. Genomic DNA was isolated using UltraClean Microbial DNA Isolation Kit (MO BIO) according to the protocol provided by the manufacturer.

Genome sequencing and assembly

The genomic library was prepared using IonXpress Plus Fragment Library Kit (Life Technologies) and was sequenced using Ion PGM 200 Sequencing Kit v2 with an Ion Torrent PGM Sequencer. The raw data were processed using Torrent Suite 4.0.1. The number of usable reads was 3,100,682 with a total base number of 690,903,502. The mean read length was 222.82 ± 41.88 bp, the mode length was 243 bp. Contigs were built de novo using GS De Novo Assembler 2.9 (Roche). The assembly resulted in 608 contigs, the largest contig size was 98,303 bp, the minimum contig size was 505 bp. The half of the genome consists of contigs larger than 15,441 bp (N50). The average coverage was 150 × (Table 2).
Table 2

Genome sequencing project information

MIGS IDPropertyTerm
MIGS-31Finishing qualityDraft
MIGS-28Libraries usedOne 200 bp Ion Torrent library
MIGS-29Sequencing platformsIon Torrent PGM
MIGS-31.2Fold coverage150×
MIGS-30AssemblersGS De Novo Assembler 2.9
MIGS-32Gene calling methodProdigal 2.6, Barrnap 0.3, Aragorn 1.2 (as part of Prokka 1.8)
Locus TagX551
Genbank IDAZND00000000
Genbank Date of Release2014/02/20
GOLD IDGp0074688
BIOPROJECTPRJNA229978
MIGS-13Source Material IdentifierSAMN02422539
Project relevanceEnvironmental, biotechnology
The pT29A plasmid was purified using a modified plasmid miniprep method [20] and treated with Plasmid-Safe™ ATP-dependent DNase (Epicentre) before sequencing with Ion Torrent technology using the kits mentioned above. 40,770 reads were obtained with a total base number of 8,500,697. The mean read length was 208.50 ± 51.50 bp, the mode length was 234 bp. The reads were assembled into an 86,856 bp circular sequence with SPAdes 3.0 [18] and manual editing.

Genome annotation

The assembled draft genome and the pT29A sequences were annotated using Prokka 1.8 [21]. For the prediction of signal peptides and transmembrane domains SignalP 4.1 Server [22, 23] and TMHMM Server v. 2.0 [24] were used, respectively. Assignment of genes to the COG database [25, 26] and Pfam domains [27] was performed with WebMGA server [28].

Genome properties

The total size of the draft genome of M. sp. T29 is 4,449,424 bp and has a G + C content of 68.7 % which is similar to the genome of the type strain PM1 (4,643,669 bp, G + C content of 67.6 %). For M. sp. T29 a total of 4806 genes, whilst for PM1 4477 genes were predicted. 3 rRNA, 48 tRNA and 1 tmRNA genes were detected in the genome of M. sp. T29. We could make functional prediction for 72.8 % of the protein coding genes, while the rest were named as hypothetical proteins. Of the coding genes, 71 % could be assigned to COG categories and 71.4 % has Pfam domains (for detailed statistics see Tables 3 and 4). The map of the draft genome of M. sp. T29 aligned to the full genome of the closest relative PM1 is illustrated in Fig. 3 and Fig. 4. The plasmid pT29A carries 90 protein coding genes, of which 72.2 % has functional prediction and 70 % could be assigned to COG categories (Table 5). The most abundant functional category was the coenzyme transport and metabolism (Table 6). The map of the plasmid is shown in Fig. 5.
Table 3

Genome statistics

AttributeValue%age of total
Genome size (bp)4,449,424100
DNA coding (bp)3,743,11284.1
DNA G + C (bp)3,057,50668.7
DNA scaffolds608n/a
Total genes4806n/a
Protein coding genes475498.9
RNA genes521.1
Pseudo genes1964.1
Genes in internal clustersN.D.N.D.
Genes with function prediction349872.8
Genes assigned to COGs337671.0
Genes with Pfam domains339571.4
Genes with signal peptides3818.0
Genes with transmembrane helices101421.3
CRISPR repeats00
Table 4

Number of genes associated with general COG functional categories in the whole genome

CodeValue%ageDescription
J1693.5Translation, ribosomal structure and biogenesis
A20.0RNA processing and modification
K2765.8Transcription
L1904.0Replication, recombination and repair
B40.1Chromatin structure and dynamics
D320.7Cell cycle control, Cell division, chromosome partitioning
V591.2Defense mechanisms
T2846.0Signal transduction mechanisms
M2184.6Cell wall/membrane biogenesis
N1002.1Cell motility
U1222.6Intracellular trafficking and secretion
O1703.6Posttranslational modification, protein turnover, chaperones
C2926.1Energy production and conversion
G1262.6Carbohydrate transport and metabolism
E2956.2Amino acid transport and metabolism
F721.5Nucleotide transport and metabolism
H1964.1Coenzyme transport and metabolism
I1773.7Lipid transport and metabolism
P2365.0Inorganic ion transport and metabolism
Q1182.5Secondary metabolites biosynthesis, transport and catabolism
R4569.6General function prediction only
S3377.1Function unknown
-82317.3Not in COGs

The total is based on the total number of protein coding genes in the genome

Fig. 3

Circular representation of the draft genome of Methylibium sp. T29 displaying relevant genome features. The contigs of M. sp. T29 were reordered by Mauve [35] using the genome sequence of M. petroleiphilum PM1 as the reference. The COG categories were assigned to genes by WebMGA [28]. The circular map was visualized by CGView [36]. The features are the following from outside to center: (A) genes on forward strand; genes on reverse strand (colored by COG categories); blast alignment of the M. petroleiphilum PM1 chromosome and megaplasmid to the draft genome of M. sp. T29; GC content; GC skew

Fig. 4

Genome sequence similarity plot of Methylibium sp. T29 and Methylibium petroleiphilum PM1. Contigs from the draft genome assembly of M. sp. T29 were reordered with Mauve 2.3.1 [35] using the complete genome of M. petroleiphilum PM1 as the reference. The alignment and plotting were performed with MUMmer 3.0 [29]

Table 5

Statistics for the pT29A plasmid

AttributeValue%age of total
Genome size (bp)86,856n.a.
DNA coding (bp)75,83787.3
DNA G + C (bp)58,26567.1
DNA scaffolds1100.0
Total genes90100.0
Protein coding genes90100.0
RNA genes00.0
Pseudo genes11.1
Genes in internal clustersN.D.N.D.
Genes with function prediction6572.2
Genes assigned to COGs6370.0
Genes with Pfam domains6774.4
Genes with signal peptides1213.3
Genes with transmembrane helices1718.9
CRISPR repeats00.0
Table 6

Number of genes associated with general COG functional categories in the pT29A plasmid genome

CodeValue%ageDescription
J00.0Translation, ribosomal structure and biogenesis
A00.0RNA processing and modification
K88.9Transcription
L1011.1Replication, recombination and repair
B40.1Chromatin structure and dynamics
D11.1Cell cycle control, Cell division, chromosome partitioning
V00.0Defense mechanisms
T77.8Signal transduction mechanisms
M00.0Cell wall/membrane biogenesis
N00.0Cell motility
U00.0Intracellular trafficking and secretion
O00.0Posttranslational modification, protein turnover, chaperones
C33.3Energy production and conversion
G00.0Carbohydrate transport and metabolism
E11.1Amino acid transport and metabolism
F00.0Nucleotide transport and metabolism
H1921.1Coenzyme transport and metabolism
I00.0Lipid transport and metabolism
P55.6Inorganic ion transport and metabolism
Q00.0Secondary metabolites biosynthesis, transport and catabolism
R44.4General function prediction only
S1011.1Function unknown
-2224.4Not in COGs

The total is based on the total number of protein coding genes in the plasmid genome

Fig. 5

Detection and features of the pT29A plasmid. a Separation of megaplasmids of M. petroleiphilum PM1 and M. sp. T29 by pulsed field gel electrophoresis. The experiment was conducted according to Barton et al. [30]. The arrows show the ~600 kb partially linearized megaplasmid of M. petroleiphilum PM1 described in [10], and the ~87 kb partially linearized pT29A plasmid described in this paper. b Circular representation of the pT29A plasmid of M. sp. T29 displaying relevant features. The circular map was visualized by CGView [36]. The features are the following from outside to center: genes on forward strand, genes on reverse strand (colored by COG categories), GC content and GC skew

Genome statistics Number of genes associated with general COG functional categories in the whole genome The total is based on the total number of protein coding genes in the genome Statistics for the pT29A plasmid Number of genes associated with general COG functional categories in the pT29A plasmid genome The total is based on the total number of protein coding genes in the plasmid genome Circular representation of the draft genome of Methylibium sp. T29 displaying relevant genome features. The contigs of M. sp. T29 were reordered by Mauve [35] using the genome sequence of M. petroleiphilum PM1 as the reference. The COG categories were assigned to genes by WebMGA [28]. The circular map was visualized by CGView [36]. The features are the following from outside to center: (A) genes on forward strand; genes on reverse strand (colored by COG categories); blast alignment of the M. petroleiphilum PM1 chromosome and megaplasmid to the draft genome of M. sp. T29; GC content; GC skew Genome sequence similarity plot of Methylibium sp. T29 and Methylibium petroleiphilum PM1. Contigs from the draft genome assembly of M. sp. T29 were reordered with Mauve 2.3.1 [35] using the complete genome of M. petroleiphilum PM1 as the reference. The alignment and plotting were performed with MUMmer 3.0 [29] Detection and features of the pT29A plasmid. a Separation of megaplasmids of M. petroleiphilum PM1 and M. sp. T29 by pulsed field gel electrophoresis. The experiment was conducted according to Barton et al. [30]. The arrows show the ~600 kb partially linearized megaplasmid of M. petroleiphilum PM1 described in [10], and the ~87 kb partially linearized pT29A plasmid described in this paper. b Circular representation of the pT29A plasmid of M. sp. T29 displaying relevant features. The circular map was visualized by CGView [36]. The features are the following from outside to center: genes on forward strand, genes on reverse strand (colored by COG categories), GC content and GC skew

Conclusions

On average, the draft genome of M. sp. T29 shows 97 % identity to the PM1 chromosome and 85 % identity to a small part of the PM1 megaplasmid at the nucleotide level as measured by NUCmer [29] (Fig. 4) but significant differences were also found. Notably, most parts of the 600 kb megaplasmid are missing from M. sp. T29. A pulsed field gel electrophoretic analysis to detect megaplasmids [30] revealed that unlike PM1 our isolate does not harbor the megaplasmid which carries the genes for MTBE-degradation [10]. Instead, a ~87 kb plasmid is present (Fig. 5) that we named pT29A. The fact that in PM1 the genes for MTBE-metabolism are located on the pPM1 megaplasmid suggested that in M. sp. T29 these genes are also carried by the pT29A plasmid. Surprisingly, no known genes associated with MTBE-degradation were found among the plasmid coded genes besides a cobalamin-synthesis operon which differs from the one in PM1. Cobalt ions or cobalamin are required for complete MTBE-degradation in some strains for the utilization of 2-HIBA which is a key intermediate in the metabolic pathway [31, 32]. However, we were able to identify the putative components of the MTBE-degradation pathway in the whole genome of the M. sp. T29 including orthologous genes coding for the MTBE monooxygenase [16] and the TBA monooxygenase [33] showing only 84 and 81 % identity at the amino acid level to their PM1 counterparts, respectively (Table 7). As opposed to the considerably high similarity of the majority of the two genomes, the significantly lower sequence conservation of the MTBE-degradation pathway components and the fact that these genes are not linked to the pT29A plasmid indicate that the gene cluster for MTBE-metabolism is probably located on a transposon which resides on the megaplasmid and the chromosome in PM1 and M. sp. T29, respectively. There are unique sequences in the M. sp. T29 genome missing from PM1 conferring different functions, i.e. resistances to different antibiotics (ampicillin, meticillin, tetracycline, sulfonamide), heavy metals (mercury, copper, cobalt, nickel, zinc, cadmium, tellurium) and other toxic compounds (i.e. arsenic). Other unique sequences code for various metabolic enzymes, transcriptional regulators, sensor proteins, components of restriction modification systems, phage- and transposon-related proteins and hypothetical proteins. The MTBE monooxygenase function for the candidate gene mdpA and the resistances to ampicillin, tetracycline and mercury were verified experimentally. According to the gene annotations, M. sp. T29 can utilize other environmentally polluting compounds as well (i.e. chlorinated aromatic hydrocarbons, haloacids and certain polycyclic aromatic hydrocarbons) but these functions have not been tested yet. The organism was predicted as non-human pathogen (probability of being a human pathogen is 0.083) by PathogenFinder 1.1 [34], therefore it can be safely applied during in situ bioremediation experiments. Based on the genome sequence described here we designed PCR primers specific to the M. sp. T29-type mdpA to track our strain in the field at MTBE-contaminated sites in Hungary. The nucleotide sequences of other genes in the MTBE-degradation pathway can also be used to construct better oligonucleotide chips to detect the potentially active genes in environmental samples.
Table 7

Genes involved in the degradation of MTBE in Methylibium petroleiphilum PM1 and Methylibium sp. T29

Gene functionGene ID in M. petroleiphilum PM1Gene ID in M. sp. T29%age identity at the nucleic acid level%age identity at the amino acid level
MTBE monooxygenaseMpe_B0606X551_032327984
RubredoxinMpe_B0602X551_03234no significant similarity43
Rubredoxin reductaseMpe_B0597X551_01331no significant similarity29
ATP-dependent transcriptional regulatorMpe_B0601X551_046387485
Hydroxymethyl tert-butyl ether dehydrogenaseMpe_B0558X551_028008691
tert-butyl formate carboxylesteraseMpe_A2443X551_011229999
tert-butyl alcohol hydroxylaseMpe_B0555X551_024027981
Iron-sulfur oxidoreductaseMpe_B0554X551_024018282
2-methyl-2-hydroxy-1-propanol dehydrogenaseMpe_B0561X551_028048385
Hydroxyisobutyraldehyde dehydrogenaseMpe_A0361X551_03863Partial homology36
2-hydroxy-isobutyryl-CoA ligaseMpe_B0539X551_025578594
2-hydroxy-isobutyryl-CoA mutaseMpe_B0541X551_025598992
2-hydroxy-isobutyryl-CoA mutase C-terminal domainMpe_B0538X551_025568691
3-hydroxybutyryl-CoA dehydrogenaseMpe_B0547X551_025647984
Acetyl-CoA acetyltransferaseMpe_A3367X551_00431Partial homology45
Genes involved in the degradation of MTBE in Methylibium petroleiphilum PM1 and Methylibium sp. T29
  32 in total

1.  Biodegradation of methyl tert-butyl ether by a bacterial pure culture.

Authors:  J R Hanson; C E Ackerman; K M Scow
Journal:  Appl Environ Microbiol       Date:  1999-11       Impact factor: 4.792

2.  SignalP 4.0: discriminating signal peptides from transmembrane regions.

Authors:  Thomas Nordahl Petersen; Søren Brunak; Gunnar von Heijne; Henrik Nielsen
Journal:  Nat Methods       Date:  2011-09-29       Impact factor: 28.547

3.  List of new names and new combinations previously effectively, but not validly, published.

Authors: 
Journal:  Int J Syst Evol Microbiol       Date:  2006-01       Impact factor: 2.747

4.  Methylibium petroleiphilum gen. nov., sp. nov., a novel methyl tert-butyl ether-degrading methylotroph of the Betaproteobacteria.

Authors:  Cindy H Nakatsu; Krassimira Hristova; Satoshi Hanada; Xian-Ying Meng; Jessica R Hanson; Kate M Scow; Yoichi Kamagata
Journal:  Int J Syst Evol Microbiol       Date:  2006-05       Impact factor: 2.747

5.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Authors:  Koichiro Tamura; Glen Stecher; Daniel Peterson; Alan Filipski; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-10-16       Impact factor: 16.240

Review 6.  Enzymes and genes involved in the aerobic biodegradation of methyl tert-butyl ether (MTBE).

Authors:  Nicolas Lopes Ferreira; Cédric Malandain; Françoise Fayolle-Guichard
Journal:  Appl Microbiol Biotechnol       Date:  2006-06-28       Impact factor: 4.813

7.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

8.  Whole-genome analysis of the methyl tert-butyl ether-degrading beta-proteobacterium Methylibium petroleiphilum PM1.

Authors:  Staci R Kane; Anu Y Chakicherla; Patrick S G Chain; Radomir Schmidt; Maria W Shin; Tina C Legler; Kate M Scow; Frank W Larimer; Susan M Lucas; Paul M Richardson; Krassimira R Hristova
Journal:  J Bacteriol       Date:  2006-12-08       Impact factor: 3.490

9.  The Pfam protein families database.

Authors:  Robert D Finn; Jaina Mistry; John Tate; Penny Coggill; Andreas Heger; Joanne E Pollington; O Luke Gavin; Prasad Gunasekaran; Goran Ceric; Kristoffer Forslund; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2009-11-17       Impact factor: 16.971

10.  The minimum information about a genome sequence (MIGS) specification.

Authors:  Dawn Field; George Garrity; Tanya Gray; Norman Morrison; Jeremy Selengut; Peter Sterk; Tatiana Tatusova; Nicholas Thomson; Michael J Allen; Samuel V Angiuoli; Michael Ashburner; Nelson Axelrod; Sandra Baldauf; Stuart Ballard; Jeffrey Boore; Guy Cochrane; James Cole; Peter Dawyndt; Paul De Vos; Claude DePamphilis; Robert Edwards; Nadeem Faruque; Robert Feldman; Jack Gilbert; Paul Gilna; Frank Oliver Glöckner; Philip Goldstein; Robert Guralnick; Dan Haft; David Hancock; Henning Hermjakob; Christiane Hertz-Fowler; Phil Hugenholtz; Ian Joint; Leonid Kagan; Matthew Kane; Jessie Kennedy; George Kowalchuk; Renzo Kottmann; Eugene Kolker; Saul Kravitz; Nikos Kyrpides; Jim Leebens-Mack; Suzanna E Lewis; Kelvin Li; Allyson L Lister; Phillip Lord; Natalia Maltsev; Victor Markowitz; Jennifer Martiny; Barbara Methe; Ilene Mizrachi; Richard Moxon; Karen Nelson; Julian Parkhill; Lita Proctor; Owen White; Susanna-Assunta Sansone; Andrew Spiers; Robert Stevens; Paul Swift; Chris Taylor; Yoshio Tateno; Adrian Tett; Sarah Turner; David Ussery; Bob Vaughan; Naomi Ward; Trish Whetzel; Ingio San Gil; Gareth Wilson; Anil Wipat
Journal:  Nat Biotechnol       Date:  2008-05       Impact factor: 54.908

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  1 in total

1.  Deep RNA-Seq profile reveals biodiversity, plant-microbe interactions and a large family of NBS-LRR resistance genes in walnut (Juglans regia) tissues.

Authors:  Sandeep Chakraborty; Monica Britton; P J Martínez-García; Abhaya M Dandekar
Journal:  AMB Express       Date:  2016-02-17       Impact factor: 3.298

  1 in total

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