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. 2016 Sep 17;10:54–60. doi: 10.1016/j.gdata.2016.09.005

Draft genome sequence of Microbacterium oleivorans strain Wellendorf implicates heterotrophic versatility and bioremediation potential

Anton P Avramov a, MB Couger a, Emily L Hartley a, Craig Land a, Rachel Wellendorf a, Radwa A Hanafy a, Connie Budd a, Donald P French b, Wouter D Hoff a, Noha Youssef a,
PMCID: PMC5035333  PMID: 27699150

Abstract

Microbacterium oleivorans is a predominant member of hydrocarbon-contaminated environments. We here report on the genomic analysis of M. oleivorans strain Wellendorf that was isolated from an indoor door handle. The partial genome of M. oleivorans strain Wellendorf consists of 2,916,870 bp of DNA with 2831 protein-coding genes and 49 RNA genes. The organism appears to be a versatile mesophilic heterotroph potentially capable of hydrolysis a suite of carbohydrates and amino acids. Genomic analysis revealed metabolic versatility with genes involved in the metabolism and transport of glucose, fructose, rhamnose, galactose, xylose, arabinose, alanine, aspartate, asparagine, glutamate, serine, glycine, threonine and cysteine. This is the first detailed analysis of a Microbacterium oleivorans genome.

Keywords: Microbacterium oleivorans, Draft genome, Detailed annotation, Student Initiated Microbial Discovery (SIMD) project, Bioremediation potential, Metabolic versatility

1. Introduction

The strain Wellendorf was isolated from a door handle surface with frequent human use in Stillwater, OK as part of the Student Initiated Microbial Discovery (SIMD) project (introduced in [1]). The Microbacterium genus is a phylogenetically and physiologically diverse genus with members ubiquitously found in polycyclic aromatic hydrocarbon (PAH)-contaminated [2], [3], as well as heavy metal-contaminated [4], [5] soils. PAHs and heavy metals are persistent environmental contaminants with both environmental and human health concerns [6], [7], [8]. Genomic analysis of strains belonging to the genus Microbacterium can contribute to our understanding of the molecular mechanisms of PAHs degradation and heavy metal mobilization and could potentially contribute to natural-attenuation-based, and engineered bioremediation schemes in multiple environments [9], [10]. Here we present the draft genomic sequence, and first detailed genomic annotation and analysis of a Microbacterium oleivorans strain.

2. Materials and methods

2.1. Genome project history

The draft assembly and annotation were completed in 2015–2016. Table 1 shows the genome project information.

Table 1.

Project information.

MIGS ID Property Term
MIGS 31 Finishing quality Draft
MIGS-28 Libraries used 2 × 300 paired end chemistry
MIGS 29 Sequencing platforms Illumina Miseq
MIGS 31.2 Fold coverage 300 ×
MIGS 30 Assemblers Velvet 2.0
MIGS 32 Gene calling method Prodigal
GenBank ID MAYO00000000
GenBank date of release July 2016
GOLD ID Gp0126761
BIOPROJECT PRJNA327390
MIGS 13 Project relevance Environmental

2.2. Growth conditions and genomic DNA preparation

M. oleivorans strain Wellendorf was grown overnight at 30 °C on tryptic soy agar plates. Genomic DNA of high sequencing quality was isolated using the MPBio PowerSoil® DNA extraction kit according to manufacturer's instructions. Negative stain TEM micrographs were obtained using the services of the Oklahoma State University Microscopy Lab. Briefly, the sample was placed on a carbon film TEM grid and allowed to incubate for 2 min, after which the excess liquid was wicked off. Phosphotungestic acid (PTA; 2% w/v) was then added to the grid followed by a 45-s incubation. Excess PTA was blotted off and the grid was allowed to dry before it was visualized using JOEL JEM-2100 transmission electron microscope.

2.3. Genome sequencing and assembly

The genome of M. oleivorans strain Wellendorf was sequenced using the Illumina MiSeq platform at the University of Georgia Genomics Facility using 2 × 300 paired end chemistry and an average library insert size of 700 bp. Quality filtered sequence data were assembled with the short read de Bruijn graph assembly program Velvet [11] using a kmer value of 101 bp and a minimum contig coverage value of 7 ×. The genome project is deposited in GOLD (Genomes On-Line Database) and this Whole Genome Shotgun (WGS) project has been deposited in GenBank under the accession MAYO00000000. The version described in this paper is version MAYO01000000.

2.4. Genome annotation

Gene models were created using the prokaryotic gene calling software package Prodigal [12]. A total of 2885 gene models were predicted. The average gene size was 961 bp. Translated protein sequences were functionally annotated using a combination of NCBI Blast C ++ homology search and HMMER 3.0 [13] hmmscan against the PFAM 26.0 database [14]. Additional gene analysis and functional annotation were carried out through the Integrated Microbial Genomes Expert Review (IMG-ER) platform.

2.5. Phylogenetic analysis

A maximum likelihood phylogenetic tree was constructed using multiple sequence alignments of 16S rRNA genes sequences. Multiple sequence alignment was conducted in Mega, as were the selection of the best substitution model, and the maximum likelihood analysis [15]. The tree was obtained under “TN93 + G + I” model with, a proportion of invariable sites of 0.25, and a variable site γ shape parameter of 0.51. Escherichia coli partial 16S rRNA gene isolate ECSD9 was used as the outgroup. Bootstrap values, in percent, were based on 200 replicates.

2.6. Comparative genomics

We sought to compare the genome of Microbacterium oleivorans strain Wellendorf to 17 closely related genomes (IMG genome IDs: 2576861779, 2519899511, 2639762631, 2627854169, 2619619265, 2609459760, 2576861795, 2639762630, 2636415545, 2645728100, 2540341240, 2643221903, 2627854213, 2541047020, 2608642165, 2522572100, and 2526164566) using the “Genome clustering” function on the IMG-ER analysis platform based on the COG profile. We also used principal component analysis to compare the genomes based on several genomic features including the genome size, the number of genes, the number of transporters identified, the GC content, the number of non-coding bases, the number of genes belonging to COG categories, as well as the number of genes belonging to each COG category [16], [17]. The PCA analysis was conducted using the “princomp” function in the labdsv library of R [18]. The results were visualized using a biplot, where genomes were represented by stars and genomic features or COG categories used for comparison were represented by arrows, where the arrow directions follow the maximal abundance, and their lengths are proportional to the maximal rate of change between samples.

3. Results and discussion

3.1. Classification and features

Cells of M. oleivorans strain Wellendorf are Gram positive, non-motile, aerobic irregular rods that were arranged in pairs (Fig. 1). Colonies on TSA agar were orange-red.

Fig. 1.

Fig. 1

Negative stain TEM micrograph of Microbacterium oleivorans strain Wellendorf.

Within the genus Microbacterium, 94 species are described with validly published names. Strain Wellendorf shares 93.23–100% 16S rRNA gene identity with other species in the Microbacterium genus (Table 2). Compared to other Microbacterium oleivorans strains with sequenced genomes, Strain Wellendorf shares 99% 16S rRNA gene similarity with Microbacterium oleivorans strains CD11_3 (GenBank accession number LSTV00000000) and NBRC 103075 (GenBank accession number BCRG01000000), and 100% similarity to strain RIT293 [19].

Table 2.

M. oleivorans strain Wellendorf 16S rRNA gene percentage similarity to other Microbacterium species.

Microbacterium species Type strain Wellendorf strain % similarity
M. aerolatum V-73 98.27%
M. agarici CC-SBCK-209 94.05%
M. amylolyticum N5 93.23%
M. aoyamense KV-492 97.82%
M. aquimaris JS54-2 97.97%
M. arabinogalactanolyticum ATCC 51926 97.44%
M. arborescens ATCC 4358 97.20%
M. arthrosphaerae CCM 7681 97.48%
M. aurantiacum ATCC 49090 97.89%
M. aurum ATCC 51345 97.51%
M. awajiense YM13-414 97.66%
M. azadirachtae AI-S262 97.95%
M. binotii CIP 101303 97.42%
M. chocolatum BUCSAV 207 97.72%
M. deminutum KV-483 97.66%
M. dextranolyticum M-73 97.89%
M. enclense NIO-1002 97.81%
M. endophyticum PA15 97.35%
M. esteraromaticum ATCC 8091 97.51%
M. flavescens ATCC 13348 98.12%
M. flavum YM18-098 98.58%
M. fluvii YSL3-15 97.89%
M. foliorum P 333/02 98.43%
M. ginsengisoli Gsoil 259 96.35%
M. ginsengiterrae DCY37 98.65%
M. gubbeenense DPC 5286 93.25%
M. halimionae PA36 97.58%
M. halophilum N° 76 96.02%
M. halotolerans YIM 70130 95.63%
M. hatanonis FCC-01 97.51%
M. hominis CIP 105731 98.27%
M. humi CC-12309 94.12%
M. hydrocarbonoxydans BNP48 98.35%
M. hydrothermale 0704C9-2 97.58%
M. immunditiarum SK 18 96.50%
M. imperial ATCC 8365 97.28%
M. indicum BBH6 94.53%
M. insulae DS-66 98.12%
M. invictum DSM 19600 97.51%
M. jejuense THG-C31 97.20%
M. keratanolyticum ATCC 35057 98.42%
M. ketosireducens CIP 105732 97.66%
M. kitamiense C2 97.81%
M. koreense JS53-2 97.74%
M. kribbense MSL-04 95.88%
M. kyungheense THG-C26 97.82%
M. lacticum ATCC 8180 98.12%
M. lacus A5E-52 97.67%
M. laevaniformans ATCC 15953 97.88%
M. lemovicicum ViU22 97.74%
M. lindanitolerans MNA2 93.77%
M. luteolum ATCC 51474 98.34%
M. luticocti SC-087B 94.99%
M. mangrove MUSC 115 96.82%
M. marinilacus YM11-607 95.80%
M. marinum H101 98.04%
M. maritypicum ATCC 19260 98.42%
M. mitrae M4-8 97.04%
M. murale 01-Gi-001 97.88%
M. nanhaiense OAct400 93.98%
M. natoriense TNJL143-2 98.80%
M. neimengense 7087 97.20%
M. oleivorans BAS69 100%
M. oryzae MB10 95.64%
M. oxydans DSM 20578 98.42%
M. paludicola US15 95.57%
M. panaciterrae DCY56 97.67%
M. paraoxydans CF36 98.73%
M. petrolearium LAM0410 96.81%
M. phyllosphaerae P 369/06 98.65%
M. populi 10-107-8 94.67%
M. profundi Shh49 98.12%
M. proteolyticum RZ36 97.97%
M. pseudoresistens CC-5209 96.66%
M. pumilum KV-488 97.74%
M. pygmaeum KV-490 97.67%
M. radiodurans GIMN 1.002 97.43%
M. rhizomatis DCY100 95.17%
M. saccharophilum K-1 98.04%
M. saperdae ATCC 19272 98.27%
M. schleiferi ATCC 51473 98.42%
M. sediminicola YM10-847 96.81%
M. sediminis YLB-01 96.27%
M. shaanxiense CCNWSP60 97.90%
M. soli DCY 17 95.25%
M. suwonense M1T8B9 96.27%
M. terrae ATCC 51476 97.65%
M. terregens ATCC 13345 97.74%
M. terricola KV-448 97.74%
M. thalassium CIP 105728 98.12%
M. trichothecenolyticum ATCC 51475 97.82%
M. ulmi XIL02 96.66%
M. xylanilyticum S3-E 97.05%
M. yannicii G72 97.89%

Phylogenetic analysis based on the 16S rRNA gene placed strain M. oleivorans BAS69 as the closest taxonomic relative of M. oleivorans strain Wellendorf (Table 3 and Fig. 2).

Table 3.

Classification and general features of M. oleivorans strain Wellendorf [30].

MIGS ID Property Term Evidence codea
Classification Domain Bacteria TAS [22]
Phylum Actinobacteria TAS [22]
Class Actinobacteria TAS [22]
Order Micrococcales TAS [22]
Family Microbacteriaceae TAS [22]
Genus Microbacterium TAS [22]
Species oleivorans TAS [22]
(Type) strain: Wellendorf
Gram stain Positive TAS [22]
Cell shape Irregular rods TAS [22]
Motility Non-motile TAS [22]
Sporulation Non-spore forming TAS [22]
Temperature range Mesophile TAS [22]
Optimum temperature 30 °C TAS [22]
pH range; optimum Unknown
Carbon source l-arabinose, d-cellobiose, d-fructose, d-galactose, gluconate, d-glucose, d-maltose, d-mannose, α-d-melibiose, l-rhamnose, d-ribose, d-sucrose, salicin, d-trehalose, l-xylose, d-mannitol, sorbitol, fumarate, dl-lactate, l-malate, pyruvate, l-aspartate, l-histidine, putrescine and 4-hydroxybenzoate TAS [22]
MIGS-6 Habitat Indoor environment, door handle TAS [22]
MIGS-6.3 Salinity 2–4% NaCl (w/v) TAS [22]
MIGS-22 Oxygen requirement Obligate aerobe TAS [22]
MIGS-15 Biotic relationship free-living IDA
MIGS-14 Pathogenicity Unknown
MIGS-4 Geographic location USA IDA
MIGS-5 Sample collection March 2016 IDA
MIGS-4.1 Latitude 36.1157 IDA
MIGS-4.2 Longitude − 97.0586 IDA
MIGS-4.4 Altitude 1 M IDA
a

Evidence 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 [31].

Fig. 2.

Fig. 2

A maximum likelihood phylogenetic tree constructed using multiple sequence alignments of 16S rRNA genes. “Microbacterium oleivorans strain Wellendorf” sequence is shown in bold. GenBank accession numbers are given in parentheses. The tree was obtained under “TN93 + G + I” model with, a proportion of invariable sites of 0.25, and a variable site γ shape parameter of 0.51. The tree was rooted using Escherichia coli partial 16S rRNA gene isolate ECSD9 (not shown). Bootstrap values, in percent, are based on 200 replicates and are shown for branches with > 50% bootstrap support. Multiple sequence alignment, model selection, and maximum likelihood analysis using MEGA [15].

3.2. Genome properties

The genome assembly produced a contig N50 of 2,860,671 bp with a total genome size of 2,916,870 bp. The GC content was 69.57%. Forty nine RNA genes were identified in the genome including 4 ribosomal RNA and 45 tRNA genes. The ribosomal RNA operon showed an atypical organization. Of the 2885 detected, 2831 were protein-coding, of which 76.26% had a function prediction, 65.34% represented a COG functional category, and 4.99% were predicted to have a signal peptide. Psort [20] classified proteins as 49.45% cytoplasmic, 0.85% extracellular, and 31.54% associated with the membrane. Based on the presence of 139 single copy genes [21], the genome is predicted to be 77.69% complete. Genome statistics are shown in Table 4. The distribution of genes into COG functional categories is shown in Table 5.

Table 4.

Genome statistics.

Attribute Value % of Total
Genome size (bp) 2,916,870 100%
DNA coding (bp) 2,726,938 93.49%
DNA G + C (bp) 2,029,207 69.57%
DNA scaffolds 2 100%
Total genes 2885 100%
Protein coding genes 2831 98.13%
RNA genes 54 1.87%
Pseudo genes 0
Genes in internal clusters 527 18.27%
Genes with function prediction 2159 74.84%
Genes assigned to COGs 1889 65.48%
Genes with Pfam domains 2271 78.72%
Genes with signal peptides 144 4.99%
Genes with transmembrane helices 807 27.97%
CRISPR repeats 0

Table 5.

Number of genes associated with general COG functional categories.

Code Value % age Description
J 163 7.66% Translation, ribosomal structure and biogenesis
A 1 0.05% RNA processing and modification
K 191 8.98% Transcription
L 96 4.51% Replication, recombination and repair
B 0 0% Chromatin structure and dynamics
D 22 1.03% Cell cycle control, cell division, chromosome partitioning
V 40 1.88% Defense mechanisms
T 88 4.14% Signal transduction mechanisms
M 98 4.61% Cell wall/membrane biogenesis
N 16 0.75% Cell motility
U 29 1.36% Intracellular trafficking and secretion
O 82 3.85% Posttranslational modification, protein turnover, chaperones
C 106 4.98% Energy production and conversion
G 230 10.81% Carbohydrate transport and metabolism
E 217 10.2% Amino acid transport and metabolism
F 76 3.75% Nucleotide transport and metabolism
H 123 5.78% Coenzyme transport and metabolism
I 93 4.37% Lipid transport and metabolism
P 108 5.08% Inorganic ion transport and metabolism
Q 38 1.79% Secondary metabolites biosynthesis, transport and catabolism
R 203 9.54% General function prediction only
S 95 4.46% Function unknown
1000 34.66% Not in COGs

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

3.3. Insights from the genome sequence

Genome analysis of M. oleivorans strain Wellendorf identified a Gram positive microorganism with an atypical cell wall structure, with genomic evidences of a peptidoglycan layer lacking pentaglycine bridges and with meso-diaminopimelic acid (meso-DAP) as the second amino acid in the peptide linkage. This is different from Microbacterium oleivorans type strain whose cell wall was shown to be devoid of meso-DAP [22]. We identified genes encoding for the biosynthesis of the phosphoglycerolipid CDP-diacyl-glycerol in the genome. The analysis also revealed the absence of flagellar assembly genes and the presence of extracellular structures including Flp and Type IV pilus.

Further genomic analysis identified almost compete to complete catabolic KEGG pathways for each of the following carbon sources; glucose, fructose, rhamnose, galactose, xylose, arabinose, alanine, aspartate, asparagine, glutamate, serine, glycine, threonine and cysteine, and fatty acids as carbon and energy sources. The genome also encodes a complete TCA cycle and electron transport chain with P/V/-type ATPase subunits confirming the aerobic nature of the microorganism. While lactate and acetate fermentation capabilities were also identified in the genome, the facultative nature of this organism was not confirmed in the lab. Genomic analysis suggested auxotrophy for arginine, asparagine, thiamine, ubiquinone and biotin. In agreement with this observation, comparison of the protein-coding genes against the transporter database [23] identified several ABC and secondary transporters that could potentially import these elements.

When compared against the virulence factor database [24], the genome of M. oleivorans strain Wellendorf showed 668 virulence factor hits (19% of the protein-coding genes). These included secretion systems Type I and Type VII, among others.

The Wellendorf genome also encoded several proteins with bioremediation potential. These include enzymes for 4-hydroxyphenylacetate degradation via the meta-cleavage pathway, as well as for detoxification of nitronate [25], a known plant-secreted toxin [26], and of nitriloacetate [27], a chelating agent used in industry and frequently encountered in soil [28]. The genome also encodes for enzymes that can salvage S from organo-S-compounds (e.g. alkanesulfonates) in cases of limiting inorganic S [29].

3.4. Insights from comparative genomics

When the genome of M. oleivorans strain Wellendorf was compared to 17 closely related genomes based on their COG profile, the genome clustered with Microbacterium olievorans strain RIT293 (Fig. 3A). A closer look at the COG function profile of M. oleivorans strain Wellendorf in comparison to only Microbacterium oleivorans strains is shown in Table S1. Similarity to M. oleivorans strains at the functional level was in agreement with the phylogenetic position of the isolate as a member of the genus (Fig. 2). We used genomic features including the genome size, the number of genes, the number of transporters identified, the GC content, the number of non-coding bases, the number of genes belonging to COG categories, as well as the number of genes belonging to each COG category to cluster M. oleivorans strain Wellendorf genome in comparison to the 17 other closely related genomes. Results are shown in Fig. 3B. The genome of M. oleivorans strain Wellendorf clustered with the other M. oleivorans genome based on the enrichment in the number of transporters identified in the genomes.

Fig. 3.

Fig. 3

(A) COG profile clustering of the genomes compared in this study. (B) Principal component analysis biplot based on the genomic features and COG category distribution in the genomes compared. Genomes are represented by stars (strain names are shown). Strain Wellendorf is shown in blue. Arrows represent genomic features or COG categories used for comparison. The arrow directions follow the maximal abundance, and their lengths are proportional to the maximal rate of change between genomes. The first two components explained 75% of variation.

4. Conclusions

This study presents the genome sequence and annotation of Microbacterium oleivorans strain Wellendorf. The genome revealed an extensive sugar and amino acid degradation machinery (for glucose, fructose, rhamnose, galactose, xylose, arabinose, alanine, aspartate, asparagine, glutamate, serine, glycine, threonine and cysteine). Comparison to the virulence factor database identified 668 genes in the genome with potential virulence-associated function including type Type I, and Type VII secretion systems. The genome also suggests the capability of degradation of fatty acid and the detoxification of several environmental contaminants including phenylacetate, nitronate, and nitriloacetate. Comparative genomics using general genomic features as well as the COG function profile coincided with the phylogenetic position predicted based on the 16S rRNA gene sequence and clustered the strain Wellendorf with another representative of the M. oleivorans species.

The following are the supplementary data related to this article.

Table S1

Comparison of the COG function profile of strain Wellendorf and two other M. oleivorans strain. Only COG families with a representative in at least one of the three genomes are shown. Pearson correlations based on the abundances of the different COG families in the three genomes are shown below the table for all possible pairwise compaisons.

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Competing interests

All authors declare no competing interests.

Authors' contributions

APA, ELH, CL, MBC, and NY contributed to the analysis. APA, WDH, DPF, and NY wrote the manuscript. RW, CB, and RAH performed the lab experiments.

Acknowledgements and funding

Microbacterium oleivorans strain Wellendorf was selected for sequencing as part of a project at Oklahoma State University funded by the Howard Hughes Medical Institute aimed at improving student persistence through authentic, undergraduate research. The strain was isolated by an undergraduate student (RW) in an introductory microbiology course, modified to be the initial course in our microbial-discovery and genome-analysis two-semester course sequence. The genome was analyzed by a team of undergraduate (ALH and CL) and graduate (APA) students as part of an upper division microbial genomics class. This is Draft Genome #4 in the SIMD project supported in part by a grant from the Howard Hughes Medical Institute (grant number 1554854) through the Science Education Program. WDH acknowledges support by NSF grants MCB-1051590, MRI-1338097, and CHE-1412500.

Footnotes

The Transparency document associated with this article can be found, in the online version.

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Supplementary Materials

Table S1

Comparison of the COG function profile of strain Wellendorf and two other M. oleivorans strain. Only COG families with a representative in at least one of the three genomes are shown. Pearson correlations based on the abundances of the different COG families in the three genomes are shown below the table for all possible pairwise compaisons.

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