Literature DB >> 27699151

Draft genome sequence and detailed analysis of Pantoea eucrina strain Russ and implication for opportunistic pathogenesis.

Farzaneh Moghadam1, M B Couger1, Breeanna Russ1, Randi Ramsey1, Radwa A Hanafy1, Connie Budd1, Donald P French2, Wouter D Hoff1, Noha Youssef1.   

Abstract

The genus Pantoea is a predominant member of host-associated microbiome. We here report on the genomic analysis of Pantoea eucrina strain Russ that was isolated from a trashcan at Oklahoma State University, Stillwater, OK. The draft genome of Pantoea eucrina strain Russ consists of 3,939,877 bp of DNA with 3704 protein-coding genes and 134 RNA genes. This is the first report of a genome sequence of a member of Pantoea eucrina. Genomic analysis revealed metabolic versatility with genes involved in the metabolism and transport of all amino acids as well as glucose, fructose, mannose, xylose, arabinose and galactose, suggesting the organism is a versatile heterotroph. The genome also encodes an extensive secretory machinery including types I, II, III, IV, and Vb secretion systems, and several genes for pili production including the new usher/chaperone system (pfam 05,229). The implications of these systems for opportunistic pathogenesis are discussed.

Entities:  

Keywords:  Detailed annotation; Draft genome sequence; Metabolic versatility; Pantoea eucrina; Pili; Secretion systems; Student Initiated Microbial Discovery (SIMD) project

Year:  2016        PMID: 27699151      PMCID: PMC5037212          DOI: 10.1016/j.gdata.2016.09.006

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Introduction

The strain Pantoea eucrina Russ was isolated (by an undergraduate student, BR) from a trashcan surface with frequent human use on Oklahoma State University (OSU) campus in Stillwater, OK. This was part of the Student Initiated Microbial Discovery (SIMD) project at OSU (introduced in [1]). The genus Pantoea is a phylogenetically and physiologically diverse genus with members ubiquitously found in host-associated microbiome as plant endophytes, insects symbionts, and members of the human gut microbiomes [2], [3], [4], [5], [6]. Endophytic strains range from plant pathogens, plat commensal, to a beneficial strains with growth-promoting effects [7]. Pantoea is frequently isolated from the nosocomial environment [8], [9], [10] and hence a considerable debate on its role in human infection was recently raised. Genomic analysis of strains belonging to the genus Pantoea could potentially contribute majorly to our understanding of opportunistic pathogenesis. Such knowledge can help mitigate the severity of nosocomial infections in immunocompromised patients. Here we report on the first draft genomic sequence, and the detailed annotation and analysis of a Pantoea eucrina strain with an emphasis on its pathogenic potential.

Genome sequencing information

Genome project history

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

Project information.

MIGS IDPropertyTerm
MIGS 31Finishing qualityDraft
MIGS-28Libraries usedIllumina 2X300 paired end chemistry
MIGS 29Sequencing platformsIllumina Miseq
MIGS 31.2Fold coverage300x
MIGS 30AssemblersVelvet 2.0
MIGS 32Gene calling methodProdigal, IMG-ER
Genbank IDMAYN00000000
GenBank date of releaseJuly 2016
GOLD IDGp0126758
BIOPROJECTPRJNA327384
MIGS 13Project relevanceEnvironmental

Growth conditions and genomic DNA preparation

Pantoea eucrina Russ 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 blotted off. Phosphotungstic acid (PTA; 2% w/v) was then added to the grid followed by a 45-sec incubation. Excess PTA was blotted off and the grid was allowed to dry before it was visualized using JOEL JEM-2100 transmission electron microscope.

Genome sequencing and assembly

The genome of Pantoea eucrina Russ was sequenced using the Illumina MiSeq platform at the University of Georgia Genomics Facility using 2X300 paired end chemistry and an average library insert size of 700 bp. The short read de Brujin graph assembly program Velvet [11] was employed for assembling quality filtered sequence data using the following flags; 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 MAYN00000000. The version described in this paper is version MAYN01000000.

Genome annotation

Using the prokaryotic gene calling software package prodigal [12], a total of 3838 gene models were predicted with average gene size of 931.73 bp. Functional annotation involved a combination of NCBI Blast C ++ homology search, and HMMER 3.0 [13] hmmscan against the PFAM [14] 26.0 database. Additional gene analysis and functional annotation were carried out through the Integrated Microbial Genomes Expert Review (IMG-ER) platform.

Comparative genomics

We compared the genome of Pantoea eucrina strain Russ to 22 closely related genomes (IMG Ids: 648276708 (Pantoea sp. aB), 649633081 (Pantoea sp. At-9b), 2511231025 (Pantoea sp. YR343), 2511231035 ((Pantoea sp. GM01), 2519899784 (Pantoea sp. Sc1), 2545824509 (Pantoea sp. GL120224-02), 2551306469 (Pantoea sp. A4), 2551306543 (Pantoea sp. B40), 2582581300 (Pantoea sp. 9140), 2602041550 (Pantoea sp. AS-PWVM4), 2602042078 (Pantoea sp. 9133), 2609460089 (Pantoea sp. IMH), 2616644925 (Pantoea sp. 3.5.1), 2617271108 (Pantoea sp. FF5), 2619619082 (Pantoea sp. SL1_M5), 2627853687 (Pantoea sp. MBLJ3), 2627853912 (Pantoea sp. SM3), 2630968876 (Pantoea sp. PSNIH1), 2630968889 (Pantoea sp. PSNIH2), 2636415588 (Pantoea sp. BL1), 2643221431 (Pantoea sp. Isolate 98), 2651869657 (Pantoea sp. RIT-PI-b)) using the “Genome clustering” function on the IMG-ER analysis platform based on the KEGG 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. The PCA analysis was conducted using the “princomp” function in the labdsv library of R [15]. 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.

Results and discussion

Classification and features

Cells of P. eucrina strain Russ are Gram-negative, motile rods that were arranged in singles (Fig. 1). Colonies on TSA agar were yellow.
Fig. 1

Negative stain TEM micrograph of Pantoea eucrina Russ.

Within the genus Pantoea, 24 species are described with validly published names P. agglomerans type strain ATCC 27155T, P. allii type strain BD390T, P. ananatis type strain ATCC 33244T, P. anthophila type strain BD871T, P. brenneri type strain BD873T, P. calida type strain 1400/07T, P. citrea type strain BD875T, P. coffeiphila type strain DSM 28482T, P. conspicua type strain BD805T, P. cypripedii type strain ATCC 29267T, P. deleyi type strain BD767T, P. dispersa type strain ATCC 14589T, P. eucalypti type strain BD769T, P. eucrina type strain BD872T, P. gaviniae type strain A18/07T, P. intestinalis type strain DSM 28113T, P. punctata type strain BD876T, P. rodasii type strain BD943T, P. rwandensis type strain BD944T, P. septica type strain BD874T, P. stewartii type strain ATCC 8199T, P. terrea type strain BD877T, P. theicola type strain DSM 29212T, P. vagans type strain BD765T, and P. wallisii type strain BD946T. Strain Russ shares 96.6% with P. agglomerans, 96.3% P. allii, 97% P. ananatis, 97%P. anthophila, 96.6% P. brenneri, 96.4% P. calida, 94.9% P. citrea, 97.9% P. coffeiphila, 96.6% P. conspicua, 95.7% P. cypripedii, 96.8% P. deleyi, 98.5% P. dispersa, 96.4% P. eucalypti, 100% P. eucrina, 96.6% P. gaviniae, 95.5% P. intestinalis, 96.2% P. punctata, 97.5% P. rodasii, 97.5% P. rwandensis, 97.8% P. septica, 97.8% P. stewartii, 96.6% P. terrea, 96.3% P. theicola, 96.4% P. vagans, and 98.5% P. wallisii in the Pantoea genus. Phylogenetic analysis based on the 16S rRNA gene placed Pantoea eucrina strain Russ in the same node with the Pantoea eucrina strains IHB B 10086, C7, and CT194 (Table 2, and Fig. 2).
Table 2

Classification and general features of Pantoea eucrina Russ [25].

MIGS IDPropertyTermEvidence codea
ClassificationDomain BacteriaTAS [26]
Phylum ProteobacteriaTAS [26]
Class GammaproteobacteriaTAS [26]
Order EnterobacterialesTAS [26]
Family EnterobacteriaceaeTAS [26]
Genus PantoeaTAS [26]
Species eucrinaTAS [26]
Strain: Russ
Gram stainNegativeTAS [26]
Cell shapeRodTAS [26]
MotilityMotileTAS [26]
SporulationNon-spore formingTAS [26]
Temperature rangeMesophileTAS [26]
Optimum temperature28 °CTAS [26]
pH range; optimumUnknown
Carbon sourced-glucose, d-fructose, D-galactose, trehalose, D-mannose, cellobiose, 1-O-methylb-D-glucopyranoside, L-arabinose, glycerol, inositol, Dsaccharate, cis-aconitate, D-glucuronate, D-galacturonate, N-acetylglucosamine, D-gluconate, DL-lactate, L-histidine, l-aspartate, L-glutamate, L-alanine and l-serine sucrose, maltotriose, maltose, D-arabitol, L-arabitol, xylitol, d-mannitol, adonitol and citrate.TAS [26]
MIGS-6HabitatTrashcanIDA
MIGS-6.3SalinityGrowth in TSA (0.5%)IDA
MIGS-22Oxygen requirementFacultative anaerobeTAS [26]
MIGS-15Biotic relationshipFree-livingIDA
MIGS-14PathogenicityUnknown
MIGS-4Geographic locationStillwater, OklahomaIDA
MIGS-5Sample collectionMarch 2015IDA
MIGS-4.1Latitude36.1157IDA
MIGS-4.2Longitude− 97.0586IDA
MIGS-4.4Altitude1 MIDA

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 [27].

Fig. 2

A maximum likelihood phylogenetic tree constructed using multiple sequence alignments of 16S rRNA genes. “Pantoea eucrina Russ” sequence is shown in bold. Reference sequences are also shown and Genbank accession numbers are given in parentheses. The tree was obtained under “K2 + G” model with a variable site γ shape parameter of 0.05. “Escherichia coli” was used as the out-group. Bootstrap values, in percent, are based on 100 replicates and are shown for branches with > 50% bootstrap support. Multiple sequence alignment, model selection, and maximum likelihood analysis were carried out in MEGA [28].

Compared to other Pantoea species with sequenced genomes, strain Russ shares 98% 16S rRNA gene similarity with representatives of Pantoea dispersa, 97% similarity with representatives of Pantoea stewartii, and 96% similarity with representatives of Pantoea ananatis.

Genome properties

The genome assembly process produced a contig N50 of 2,633,372 bp with a total genome size of 3,939,877 bp. The GC content was 55.98%. One hundred and thirty four RNA genes were identified in the genome including 11 ribosomal RNA and 75 tRNA genes. The ribosomal RNA operon showed a typical bacterial organization with genes for 5S, 16S, and 23S rRNA and tRNAs tRNA and tRNA. Of the 3838 detected genes, 3704 genes (96.51%) were protein-coding, of which 80.22% had a function prediction, 74.65% represented a COG functional category, and 8.1% were predicted to have a signal peptide. Using PSORT [16], we classified proteins as 41% cytoplasmic, 0.72% extracellular, and 30.3% associated with the membrane. Based on the presence of 139 single copy genes [17], the genome is predicted to be 81.3% complete. Genome statistics are shown in Table 3. The distribution of genes into COG functional categories is shown in Table 4.
Table 3

Genome statistics.

AttributeValue% of total
Genome size (bp)3,939,877100%
DNA coding (bp)3,459,66787.81%
DNA G + C (bp)2,205,50355.98%
DNA scaffolds8100%
Total genes3838100%
Protein coding genes370496.51%
RNA genes1343.49%
Pseudo genes0
Genes in internal clusters82921.60%
Genes with function prediction307980.22%
Genes assigned to COGs286574.65%
Genes with Pfam domains326785.12%
Genes with signal peptides3128.10%
Genes with transmembrane helices85322.23%
CRISPR repeats0
Table 4

Number of genes associated with general COG functional categories.

CodeValue% ageDescription
J2427.5%Translation, ribosomal structure and biogenesis
A10.03%RNA processing and modification
K2588%Transcription
L1243.84%Replication, recombination and repair
B00%Chromatin structure and dynamics
D441.36%Cell cycle control, cell division, chromosome partitioning
V672.08%Defense mechanisms
T1865.77%Signal transduction mechanisms
M2337.19%Cell wall/membrane biogenesis
N772.39%Cell motility
U391.21%Intracellular trafficking and secretion
O1203.72%Posttranslational modification, protein turnover, chaperones
C1765.46%Energy production and conversion
G3129.67%Carbohydrate transport and metabolism
E3159.76%Amino acid transport and metabolism
F952.94%Nucleotide transport and metabolism
H1775.49%Coenzyme transport and metabolism
I973.01%Lipid transport and metabolism
P1986.14%Inorganic ion transport and metabolism
Q431.33%Secondary metabolites biosynthesis, transport and catabolism
R2327.19%General function prediction only
S1655.11%Function unknown
1640Not in COGs

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

Insights from the genome sequence

Genome analysis of Pantoea eucrina Russ identified a microorganism with a typical Gram-negative cell wall structure. The genome also suggests that the cell envelope contains the polar lipids phosphatidylglycerol, phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, and cardiolipin since genes for their biosynthesis were identified in the genome. Strain Russ genome also encodes for a complete flagellar assembly, in agreement with the isolate's electron micrograph, as well as a type I pilus system belonging to the newly identified usher/chaperone system [18]. This system was first characterized in Acinetobacter baumannii and is linked to the early steps in biofilm formation [18]. The presence of genes encoding this system in Pantoea eucrina combined with the observation that it also possesses flagella imply a possible role of these genes to its virulence especially in nosocomial settings by allowing it to establish biofilms. When compared against the virulence factor database [19], the genome of Pantoea eucrina Russ showed 1077 virulence factor hits (29% of the protein-coding genes). These included Type I, Type II, Type III, Type IV, and Type Vb secretion systems. Most of these secretion systems have been linked to virulence in Gram-negative organisms [20], and could potentially contribute to opportunistic pathogenesis. Aside from their potential to be opportunistic pathogens, Pantoea endophytic strains range in their relationship with plant hosts from pathogenic to beneficial growth-promoters or bioprotectors [7]. Previous research suggested a relationship between the presence of virulence-associated genes on mobile elements and the pathogenicity of the strain towards plants [7]. Even though strain Russ was not isolated from a plant host, we sought to examine the possibility of its potential pathogenicity, or lack thereof, towards plants. Among 11 possible transposases identified in the genome, one putative transposase (IMG gene ID: 2650202385) is present in a cluster (with one other transposase and two insertion elements proteins) downstream from a sucrose utilization cluster and a tellurite resistance cluster. Since sucrose is a predominant disaccharide in higher plants tissues [21], the capability to degrade sucrose would be highly beneficial for plant endophytes. Some plants are also known to accumulate tellurium [22], which would warrant a mechanism of tellurium resistance in the endophytic bacteria affiliated with such plant hosts. The presence of sucrose utilization gene cluster, as well as a tellurium resistance gene cluster upstream from transposases and transposable elements in the genome of strain Russ might suggest its potential for plant pathogenesis. However, this claim requires further investigation. Further analysis of KEGG pathways identified almost compete to complete catabolic pathways for utilization of glucose, fructose, mannose, xylose, arabinose and galactose, and all amino acids as carbon and energy sources. The genome also suggests the capability of xanthine degradation to glycine as well as uracil degradation to 3-hydroxypropionate, both of which indicate the capability to utilize purines and pyrimidines as energy sources. The genome encodes a complete TCA cycle and electron transport chain with F-type ATPase subunits confirming the aerobic nature of the microorganism. Facultative anaerobiosis is also suggested by the genome based on the presence of genes encoding for enzymes involved in lactate, acetate and formate fermentation were identified. Genomic analysis suggested auxotrophy for VitB12 and Riboflavin. However comparison of the protein-coding genes against the transporter database [23] identified several ABC and secondary transporters that could potentially be used for the import of such molecules.

Insights from comparative genomics

When the genome of Pantoea eucrina Russ was compared to 22 closely related genomes based on their KEGG profiles, the genome clustered with Pantoea sp. PSNIH1 previously isolated from patients in a hospital setting and shown to carry several plasmids with antibiotic resistance cassettes [24] (Fig. 3A). This genomic similarity was confirmed when 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) were used to compare Pantoea eucrina Russ genome to the 22 other closely related genomes. The Russ genome was shown to cluster with the genomes of strains PSNIH1, PSNIH2, IMH, and B40 based on the lower number of genes belonging to the COG categories E, K, G, R, and P in these genomes (Fig. 3B).
Fig. 3

Comparative genomics of Pantoea eucrina strain Russ and 21 closely related genomes. (A) KEGG profile clustering of the genomes compared in this study. (B) PCA biplot of the genomic features and COG category distribution in the genomes compared. Genomes are represented by stars, where the strain name is depicted. 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.

Conclusions

This study presents the first draft genome sequence and functional annotation of a member of the genus Pantoea eucrina. The genome of Pantoea eucrina strain Russ revealed extensive sugar and amino acid degradation machinery, as well as the potential to use purines and pyrimidines as carbon an energy sources. Type I pili belonging to the new usher/chaperone system (pfam 05,229), and possession of flagella could contribute to the capability to form biofilms. Comparison to the virulence factor database identified 1077 genes in the genome with potential virulence-associated function including type I, II, III, IV, and Vb secretion systems, most of which could potentially contribute to opportunistic pathogenesis that was previously reported for members of the Pantoea eucrina. Comparative genomics using general genomic features as well as the KEGG function profile clustered the Russ genome with Pantoea strains previously isolated from hospital settings and shown to harbor antibiotic resistance-encoding plasmids.

Authors' contributions

FM, BR, RR, MBC, and NY contributed to the analysis. FM, WDH, DPF, and NY wrote the manuscript. BR, CB, and RAH performed the lab experiments.

Competing interests

All authors declare no competing interests.

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