Literature DB >> 28932346

Insights from the draft genome into the pathogenicity of a clinical isolate of Elizabethkingia meningoseptica Em3.

Shicheng Chen1, Marty Soehnlen2, Frances P Downes3, Edward D Walker1.   

Abstract

Elizabethkingia meningoseptica is an emerging, healthcare-associated pathogen causing a high mortality rate in immunocompromised patients. We report the draft genome sequence of E. meningoseptica Em3, isolated from sputum from a patient with multiple underlying diseases. The genome has a length of 4,037,922 bp, a GC-content 36.4%, and 3673 predicted protein-coding sequences. Average nucleotide identity analysis (>95%) assigned the bacterium to the species E. meningoseptica. Genome analysis showed presence of the curli formation and assembly operon and a gene encoding hemagglutinins, indicating ability to form biofilm. In vitro biofilm assays demonstrated that E. meningoseptica Em3 formed more biofilm than E. anophelis Ag1 and E. miricola Emi3, both lacking the curli operon. A gene encoding thiol-activated cholesterol-dependent cytolysin in E. meningoseptica Em3 (potentially involved in lysing host immune cells) was also absent in E. anophelis Ag1 and E. miricola Emi3. Strain Em3 showed α-hemolysin activity on blood agar medium, congruent with presence of hemolysin and cytolysin genes. Furthermore, presence of heme uptake and utilization genes demonstrated adaptations for bloodstream infections. Strain Em3 contained 12 genes conferring resistance to β-lactams, including β-lactamases class A, class B, and metallo-β-lactamases. Results of comparative genomic analysis here provide insights into the evolution of E. meningoseptica Em3 as a pathogen.

Entities:  

Keywords:  Draft genome; Elizabethkingia meningoseptica; Human isolate; Infections

Year:  2017        PMID: 28932346      PMCID: PMC5602931          DOI: 10.1186/s40793-017-0269-8

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


Introduction

10.1601/nm.9258, a Gram-negative, aerobic bacillus, belongs to the family 10.1601/nm.8070 within the phylum Bacteroidaeota [1-3]. Among the three clinically important 10.1601/nm.9465 species (including 10.1601/nm.9258, 10.1601/nm.22689 and 10.1601/nm.9278), 10.1601/nm.9258 has been intensively investigated for its pathogenicity [4-6]. Most of the 10.1601/nm.9258 infections are nosocomial, often transmitted in intensive care units [1, 7]. This bacterium survives in tap water, in disinfection fluid, on wet surfaces of sinks, in ventilators, hemodialysis equipment, catheters, and other medical apparatus. 10.1601/nm.9258 infection causes neonatal meningitis, nosocomial pneumonia, bacteremia, osteomyelitis, endocarditis, and skin infections [1, 4, 8]. Moreover, older (age > 65) and immunocompromised patients are more susceptible to infection; case-fatality rates have reached 50% [9]. Infections by 10.1601/nm.9258 are difficult to treat with antimicrobial agents due to multiple drug resistance [4]. Tetracycline, chloramphenicol, and β-lactams have been used to treat patients [10], but increasingly clinical isolates lack susceptibility to these antibiotics [11]. Analysis of the resistome in the related bacterium 10.1601/nm.9278 revealed multiple drug resistance genes [12]. Some antibiotics effective against Gram-positive bacteria such as vancomycin, quinolones, tigecycline, and rifampin have been used for treating 10.1601/nm.9258-infected patients, though the mechanism of action remains unclear [12, 13]. Also, the effectiveness of these antibiotics varied; many patients resolved infection but isolates showed high MICs in vitro, thus the relationship between MICs and clinical response was obscure [14]. Further genome analyses will elucidate the breadth of antibiotic susceptibility and resistance mechanisms in 10.1601/nm.9465 spp. Differentiation of 10.1601/nm.9465 species using routine morphological and biochemical tests is difficult in clinical laboratories [14]. Comparison of 16S rRNA identity does not provide sufficient resolution to identify and separate these closely-related 10.1601/nm.9465 species [2, 14]. Characterization of 10.1601/nm.9465 species by MALDI-TOF mass spectrometry would facilitate it if species reference spectra were added to the database [14]. A limitation is that MALDI-TOF mass spectrometry is not available in many smaller clinical microbiology laboratories. Whole genome analysis facilitates the development of molecular diagnosis tools (such as single nucleotide polymorphisms) that can be potentially useful for small laboratories. In this study, we sequenced, annotated and analyzed a clinical 10.1601/nm.9258 genome, with the aim of providing a better understanding of antibiotic resistance and pathogenesis mechanisms in this pathogen, and of unveiling useful biosystematic molecular markers.

Organism information

Classification and features

10.1601/nm.9258 Em3 (Fig. 1) was isolated from a sputum sample from a patient with multiple underlying diseases and on life support. E. meningoseptica Em3 is Gram-negative, non-motile and non-spore-forming (Fig. 1 and Table 1). A taxonomic analysis was performed by comparing the 16S rRNA gene sequence to those in the GenBank (Fig. 2). The phylogenetic tree based on the 16S rRNA gene sequences indicated that strain Em3 was clustered within a branch containing other 10.1601/nm.9258 and departing from the clusters 10.1601/nm.22689 and 10.1601/nm.9278 in the genus 10.1601/nm.9465 (Fig. 2). We further calculated the ANI and DDH values among the representative 10.1601/nm.9465 (Table 2). Our results showed that strain Em3 belongs to 10.1601/nm.9258 because of the high ANI (>95%, cutoff for species differentiation) and DDH (>70%, cutoff for species differentiation) values between strain Em3 and 10.1601/nm.9258 10.1601/strainfinder?urlappend=%3Fid%3DATCC+13253 T [15].
Fig. 1

Demonstration of cell growth, pigment production and micrograph. a Em3 growing on SBA medium; b Demonstration of Em3 grown on SBA medium (control, up part) and MacConkey agar (low part). c Pigment production in Em3 grown on TSA agar. d Scanning electron microscopy image of Em3

Table 1

Classification and general features of E. meningoseptica Em3

MIGS IDPropertyTermEvidence codea
ClassificationDomain Bacteria TAS [37]
Phylum Bacteroidaeota TAS [3]
Class Flavobacteriia TAS [38]
Order Flavobacteriales TAS [39]
Family Flavobacteriaceae TAS [40]
Genus Elizabethkingia TAS [2]
Species Elizabethkingia meningoseptica TAS [2]
Strain Em3TAS [2]
Gram stainNegativeIDA
Cell shapeRodIDA
MotilityNon motileIDA
SporulationNon-spore-formingNAS
Temperature range4–40 °CIDA
Optimum temperature37 °CIDA
pH range; Optimum4–10; 8IDA
Carbon sourceHeterotrophIDA
Energy sourceVaried; including glucose and mannitolIDA
MIGS-6HabitatHumanNAS
MIGS-6.3SalinityNot determined
MIGS-22Oxygen requirementAerobicNAS
MIGS-15Biotic relationshipFree-livingNAS
MIGS-14PathogenicityPathogenNAS
MIGS-4Geographic locationMichigan, USANAS
MIGS-5Sample collection timeFebruary, 6, 2016NAS
MIGS-4.1Latitude42° 43′ 57″ NNAS
MIGS-4.2Longitude84° 33′ 20″ WNAS
MIGS-4.4AltitudeNot reportedNAS

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 [41]

Fig. 2

Phylogenetic tree displays the position of E. meningoseptica Em3 (shown in bold) relative to the other type strains of Elizabethkingia based on 16S rRNA. The phylogenetic tree was constructed by MEGA v. 7.0.14 using the Neighbor-Joining method [42]. The percentage of replicate trees where the associated taxa clustered together in the bootstrap test (500 replicates) is indicated next to the branches. The branch lengths are scaled to the same units as those of the evolutionary distances for inferring the phylogenetic tree. The accession numbers for 16 s rRNA sequences are listed in the parenthesis following selected bacteria: E. meningoseptica LMG 12279 (NR_115236), E. meningoseptica Che01 (KX774527), E. meningoseptica NBRC 12535 (NR_113592), E. meningoseptica ATCC 13253T (NR_115201), E. meningoseptica JL1 (JN201943), E. meningoseptica YMC R3259 (KP836320), E. meningoseptica Em3, E. meningoseptica 16H-201 M0546 (KX774526), E. miricola YMC R1459 (KP844567), E. miricola BM10T (CP011059), E. miricola EM_CHUV (CM003640), E. miricola YMC R1241 (KP836321), E. miricola ATCC 33958 (NZ_JRFN00000000), E. meningoseptica pp5b (GQ360070), E. anophelis NUHP1 (NUHP1_00209), E. anophelis PW2809 (NZ_CBYE010000032), E. anophelis 5.20 (EF426427), E. anophelis R26T (NR_116021), E. anophelis Endophthalmitis (JSAA01000000), Elizabethkingia endophytica JM-87T (NR_136481), Elizabethkingia endophytica F3201 (CP016374.1), E. anophelis B2D (NZ_JNCG00000000) and Riemerella anatipestifer ATCC 11845T (NC_017045)

Table 2

Percentage of in silico DNA-DNA hybridization (DDH)a and average nucleotide identities (ANI)b among the selected Elizabethkingia genomes

E. meningoseptica EM3 E. anophelis R26T [43] E. meningoseptica ATCC 13253T [44] E. miricola BM10T [45] E. endophytica JM-87T [46]
E. meningoseptica EM3 31.90 80.15 91.10 98.52 31.20 80.44 32.70 80.25
E. anophelis R26T 31.90 80.15 33.60 80.26 68.80 91.52 78.60 97.49
E. meningoseptica ATCC 13253T 91.10 98.52 33.60 80.26 31.40 80.26 33.30 80.41
E. miricola BM10T 31.20 80.44 68.80 91.52 31.40 80.26 68.70 91.41
E. endophytica JM-87T 32.70 80.25 78.60 97.49 33.30 80.41 68.70 91.41

Nucleotide sequences were downloaded from GenBank. The accession numbers for E. anophelis R26T, E. meningoseptica ATCC 13253T, E. miricola BM10T and E. endophytica JM-87T are NZ_ANIW01000001.1, NZ_ASAN01000001.1, NZ_CP011059.1 and NZ_CP016372, respectively

aIn silico DNA-DNA hybridization was calculated by using Genome-to-Genome Distance Calculator (GGDC) [47]. The percentage of DDH was shown on the top and bolded

bANI values were computed for pairwise genome comparison with using the OrthoANIu algorithm [48]. The percentage of ANI was shown on the bottom

Demonstration of cell growth, pigment production and micrograph. a Em3 growing on SBA medium; b Demonstration of Em3 grown on SBA medium (control, up part) and MacConkey agar (low part). c Pigment production in Em3 grown on TSA agar. d Scanning electron microscopy image of Em3 Classification and general features of E. meningoseptica Em3 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 [41] Phylogenetic tree displays the position of E. meningoseptica Em3 (shown in bold) relative to the other type strains of Elizabethkingia based on 16S rRNA. The phylogenetic tree was constructed by MEGA v. 7.0.14 using the Neighbor-Joining method [42]. The percentage of replicate trees where the associated taxa clustered together in the bootstrap test (500 replicates) is indicated next to the branches. The branch lengths are scaled to the same units as those of the evolutionary distances for inferring the phylogenetic tree. The accession numbers for 16 s rRNA sequences are listed in the parenthesis following selected bacteria: E. meningoseptica LMG 12279 (NR_115236), E. meningoseptica Che01 (KX774527), E. meningoseptica NBRC 12535 (NR_113592), E. meningoseptica ATCC 13253T (NR_115201), E. meningoseptica JL1 (JN201943), E. meningoseptica YMC R3259 (KP836320), E. meningoseptica Em3, E. meningoseptica 16H-201 M0546 (KX774526), E. miricola YMC R1459 (KP844567), E. miricola BM10T (CP011059), E. miricola EM_CHUV (CM003640), E. miricola YMC R1241 (KP836321), E. miricola ATCC 33958 (NZ_JRFN00000000), E. meningoseptica pp5b (GQ360070), E. anophelis NUHP1 (NUHP1_00209), E. anophelis PW2809 (NZ_CBYE010000032), E. anophelis 5.20 (EF426427), E. anophelis R26T (NR_116021), E. anophelis Endophthalmitis (JSAA01000000), Elizabethkingia endophytica JM-87T (NR_136481), Elizabethkingia endophytica F3201 (CP016374.1), E. anophelis B2D (NZ_JNCG00000000) and Riemerella anatipestifer ATCC 11845T (NC_017045) Percentage of in silico DNA-DNA hybridization (DDH)a and average nucleotide identities (ANI)b among the selected Elizabethkingia genomes Nucleotide sequences were downloaded from GenBank. The accession numbers for E. anophelis R26T, E. meningoseptica ATCC 13253T, E. miricola BM10T and E. endophytica JM-87T are NZ_ANIW01000001.1, NZ_ASAN01000001.1, NZ_CP011059.1 and NZ_CP016372, respectively aIn silico DNA-DNA hybridization was calculated by using Genome-to-Genome Distance Calculator (GGDC) [47]. The percentage of DDH was shown on the top and bolded bANI values were computed for pairwise genome comparison with using the OrthoANIu algorithm [48]. The percentage of ANI was shown on the bottom The motility was tested on semi-TSA. The cells of strain Em3 are straight and rods and have a diameter of 0.7 μm and length of 24.0 μm. Strain Em3 grew on TSA, producing yellow pigment (Fig. 1). This bacterium also grew well on SBA with greyish discoloration around the colonies, showing it had the α-hemolytic activity (Fig. 1). 10.1601/nm.9258 Em3 did not grow on MacConkey agar, a finding consistent with strain-dependent growth on this medium; e.g., 10.1601/nm.9258 10.1601/strainfinder?urlappend=%3Fid%3DCCUG+214 T grew on MacConkey agar whereas other hospital-associated 10.1601/nm.9258 strains did not [2]. Of those strains growing on MacConkey agar, lactose was not utilized [2]. The optimal growth temperature for strain Em3 was 37 °C (Table 1). Carbon source, nitrogen source utilization and osmotic tolerance were assayed by incubating cells in Biolog GEN III microplates at 37 °C overnight (CA, USA). The results showed that 10.1601/nm.9258 Em3 did not tolerate 4% NaCl. 10.1601/nm.9258 Em3 utilized several carbon sources, including D-maltose, D-trehalose, D-gentibiose, D-melibiose, D-glucose, D-mammose, D-fructose, D-fucose, D-mannitol and D-glycerol. The ability to use D-melibiose can differentiate 10.1601/nm.9258 from 10.1601/nm.22689 and 10.1601/nm.9278 [16]. The inability to grow on cellobiose or citrate was consistent with previous reports [16]. Moreover, 10.1601/nm.9258 Em3 utilized D-serine, L-alanine, L-aspartic acid, L-glutamic acid, L-histidine and L-serine when tested on Biolog GEN III microplates.

Extended feature descriptions

Phylogenetic analysis (Additional file 1: Figure S1) was further conducted by using 19 genomes with 1181 core genes per genome (22,439 in total). As expected, 10.1601/nm.9258 Em3 grouped together with the selected 10.1601/nm.9258 species and separated from the clusters 10.1601/nm.22689, 10.1601/nm.26899 and 10.1601/nm.9278, a finding similar to the phylogenetic analysis based on 16 s rRNA sequences. Further, both trees (Fig. 1 and Additional file 1: Figure S1) show that species 10.1601/nm.22689 and 10.1601/nm.26899 are not separated well, which is consistent with previous reports [17].

Genome sequencing information

Genome project history

The genome of 10.1601/nm.9258 Em3 was selected for whole genome sequencing because of its association with pulmonary disease. Comparison of strain Em3 genome with other 10.1601/nm.9465 species may provide insights into the molecular basis of pathogenicity and metabolic features of this strain. The high-quality draft genome sequence was completed on August 1, 2016 and was deposited to GenBank as a Whole Genome Shotgun project under accession number MDTY00000000 and the Genome OnLine Database with ID Gp0172366 (Table 3).
Table 3

Project information

MIGS IDPropertyTerm
MIGS 31Finishing qualityHigh-quality draft
MIGS-28Libraries usedtwo paired-end 250 bp library
MIGS 29Sequencing platformsMiSeq-Illumina
MIGS 31.2Fold coverage50.0X
MIGS 30AssemblersSPAdes 3.9.0
MIGS 32Gene calling methodNCBI Prokaryotic Genome, Annotation Pipeline
Locus TagBFF93_
Genbank IDMDTY00000000.1
GenBank Date of ReleaseOctober 25, 2016
GOLD IDGp0172366
BIOPROJECTPRJNA338129
MIGS 13Source Material IdentifierCL16–200185
Project relevanceClinical pathogen
Project information

Growth conditions and genomic DNA preparation

For genomic DNA isolation, E. meningoseptica Em3 (CL16–200185, Bureau of Laboratories, Michigan Department of Health and Human Services) culture was grown overnight in 25 mL LB medium at 37 °C with vigorous shaking. DNA was isolated using a Wizard Genomic DNA Purification Kit (Promega, Madison). The amount of genomic DNA was measured using a Nanodrop2000 UV-Vis Spectrophotometer (Thermo scientific) and Qubit DNA assay kit. DNA integrity was confirmed by agarose gel assay (1.5%, w/v).

Genome sequencing and assembly

NGS libraries were prepared using the Illumina TruSeq Nano DNA Library Preparation Kit. Completed libraries were evaluated using a combination of Qubit dsDNA HS, Caliper LabChipGX HS DNA and Kapa Illumina Library Quantification qPCR assays. Libraries were combined in a single pool for multiplex sequencing and the pool was loaded on one standard MiSeq flow cell (v2) and sequencing performed in a 2x250bp, paired end format using a v2, 500 cycle reagent cartridge. Base calling was done by Illumina Real Time Analysis [18] v1.18.54 and output of RTA was demultiplexed and converted to FastQ format with Illumina Bcl2fastq v1.8.4. The Illumina data were assembled into contiguous sequences using SPAdes version 3.9.0 [19], then short contigs (<400 bp) were filtered out. The 11 contigs identified in this strain were therefore submitted to the NCBI database as a Whole Genome Shotgun project.

Genome annotation

Annotation of the 11 contigs was first done through the NCBI Prokaryotic Genome Automatic Annotation Pipeline [20]. The predicted CDSs were next translated and analyzed against the NCBI non-redundant database, iPfam, TIGRfam, InterPro, KEGG and COG. The RAST system was used to check the annotated sequences [21, 22]. Additional gene prediction and manual revision was performed by using the IMG/MER platform. 10.1601/nm.9258 Em3 genome is available in IMG (genome ID = 2,703,719,242).

Genome properties

The draft genome sequence is 4,037,922 bp long, 36.37% G + C rich and contains 11 scaffolds (Table 4). Of 3729 genes predicted, 3673 encoded proteins and 56 were RNAs. 2585 (69.32%) were assigned a putative function, while the other 1088 (30.68%) were designated as hypothetical proteins. The distribution of coding genes into general COG functional categories analyzed by IMG is listed in Table 5. Collectively, the genome features were similar to those in other sequenced 10.1601/nm.9258 (Additional file 2: Table S1).
Table 4

Genome statistics of E. meningoseptica Em3

AttributeValue% of total
Genome size (bp)4,037,922100
DNA coding (bp)3,571,07388.44
DNA G + C (bp)1,468,71436.37
DNA scaffolds11NA
Total genes3729100
Protein coding genes367398.50
RNA genes561.50
Pseudo genes00
Genes in internal clusters75220.17
Genes with function prediction258569.32
Genes assigned to COGs199353.45
Genes with Pfam domains274073.48
Genes with signal peptides45212.12
Genes with transmembrane helices81821.94
CRISPR repeats00
Table 5

Number of genes associated with general COG functional categories

CodeValue%ageDescription
J1868.58Translation, ribosomal structure and biogenesis
A00RNA processing and modification
K1707.84Transcription
L914.20Replication, recombination and repair
B00Chromatin structure and dynamics
D210.97Cell cycle control, Cell division, chromosome partitioning
V813.74Defense mechanisms
T823.78Signal transduction mechanisms
M1848.49Cell wall/membrane biogenesis
N100.46Cell motility
U170.78Intracellular trafficking and secretion
O1105.08Posttranslational modification, protein turnover, chaperones
C1064.89Energy production and conversion
G1205.54Carbohydrate transport and metabolism
E1848.49Amino acid transport and metabolism
F602.77Nucleotide transport and metabolism
H1346.18Coenzyme transport and metabolism
I964.43Lipid transport and metabolism
P1537.06Inorganic ion transport and metabolism
Q391.80Secondary metabolites biosynthesis, transport and catabolism
R2039.37General function prediction only
S1054.85Function unknown
173646.55Not in COGs
Genome statistics of E. meningoseptica Em3 Number of genes associated with general COG functional categories

Insights from the genome sequence

10.1601/nm.9465 bacteria cause sepsis, bacteremia, meningitis or respiratory tract infections in hospitalized patients, indicating that they have the ability to colonize host tissues, suppress the host immune response, and disrupt erythrocytes to obtain nutrients and propagate in the host bloodstream [1, 13, 14]. Genome analysis showed that 10.1601/nm.9258 Em3 carried a gene (BFF93_RS1398) encoding a hemagglutinin protein. Hemagglutinins as adhesins are required for virulence in bacterial pathogens [23]. Hemagglutins facilitate infection via adherence to epithelial cell lines from the human respiratory tract in 10.1601/nm.1747 [24]. Darvish et al. showed that filamentous hemagglutinin adhesins were crucial for bacterial attachment and subsequent cell accumulation on target substrates [25]. An in vitro biofilm assay showed that, compared to the mosquito isolate 10.1601/nm.22689 Ag1, clinical isolates 10.1601/nm.9258 Em3 and 10.1601/nm.9278 Emi3 formed a higher amount of biofilm (Fig. 3). Furthermore, 10.1601/nm.9258 Em3 had better ability to form biofilm than did 10.1601/nm.9278 Emi3. The capacity for strain Em3 to form biofilm was further exemplified by discovery of an operon involved in curli biosynthesis and assembly (BFF93_RS03755, BFF93_RS03760, BFF93_RS03765, BFF93_03725 and BFF93_RS03775). In vitro studies demonstrated that curli fibers participated in bacterial adhesion to target cell surfaces, cell aggregation, as well as biofilm formation [26, 27]. Moreover, some studies showed that curli mediated host cell attachment and invasion in vivo [28]. Curli were involved in inducing the host inflammatory response [29]. It should be noted that this curli synthesis operon is present in 10.1601/nm.9258 while it is absent in 10.1601/nm.9278. Further experiments are warranted to test if the curli gene cluster contributed to biofilm formation in strain Em3 because biofilm formation may involve other genes.
Fig. 3

In vitro biofilm assay in the selected Elizabethkingia sp. The cells were first cultured by shaking in TSB at 37 °C overnight. The cell density was adjusted to the same OD at 600 nm (0.1). 200 μl of cells were placed on 96-well plates for 24 h. The biofilm assay was carried out using crystal blue staining [49]. Values are mean values for single measurements from eight independent cultures. The error bars are standard deviations. The statistical test was the Student’s t-test. The asterisk indicates a significant difference compared to biofilm formation in E. anophelis Ag1 (p < 0.05).

In vitro biofilm assay in the selected Elizabethkingia sp. The cells were first cultured by shaking in TSB at 37 °C overnight. The cell density was adjusted to the same OD at 600 nm (0.1). 200 μl of cells were placed on 96-well plates for 24 h. The biofilm assay was carried out using crystal blue staining [49]. Values are mean values for single measurements from eight independent cultures. The error bars are standard deviations. The statistical test was the Student’s t-test. The asterisk indicates a significant difference compared to biofilm formation in E. anophelis Ag1 (p < 0.05). A cytolysin encoding gene (BFF93_RS16990) was found in the strain Em3 genome, whose product belonged to a thiol-activated, CDC family [30]. CDC as a virulence factor is widely distributed among Gram-positive, opportunistic pathogens [31]. For example, 10.1601/nm.5606 utilized pore-forming CDC to translocate a protein into eukaryotic cells [32]. Disruption of expression of a hemolysin (CDC) gene in the intracellular pathogen 10.1601/nm.5096 reduced virulence in mice, showing that CDC was critical for full virulence [33]. Furthermore, perfringolysin, a CDC toxin, has cytotoxicity and leukostasis activities, allowing the cells to escape from macrophage phagosomes during 10.1601/nm.3991 gas gangrene [34]. Only a few CDCs have been found in Gram-negative bacteria [31], and this is the first report of CDC genes in 10.1601/nm.9258. It should also be noted that this cytolysin gene is located immediately downstream of hmuY, which together comprise part of an iron metabolism gene cluster. Such gene organization was only seen in 10.1601/nm.9258. This CDC protein sequence in strain Em3 shared 87%, 83% and 81% identity to that in 10.1601/nm.9258 10.1601/strainfinder?urlappend=%3Fid%3DATCC+13253, 10.1601/nm.9258 B2D and 10.1601/nm.9258 10.1601/strainfinder?urlappend=%3Fid%3DNBRC+12535, respectively. It is interesting that it did not have close identity to that in 10.1601/nm.9258 FMS-007 (48%) and 10.1601/nm.9258 502 (48%); it was absent in an 10.1601/nm.9258 strain associated with endophthalmitis [35]. Similarly, it was not conserved in 10.1601/nm.22689 (identity ranging from 0 to 50%) and absent in all 10.1601/nm.9278 species. Such observations may stress that a diverse pathogenesis process exists in various 10.1601/nm.9258 and other 10.1601/nm.9465 species. Besides a CDC gene in strain Em3 genome, we found that there was a gene encoding the hemolysin with a CBS domain (BFF93_RS14485). Hemolysin can be possibly secreted and involved in lysis of the erythrocytes [35]. The predicted amino acid sequence was conserved in most 10.1601/nm.9258 strains (> 90%). Further examination of hemin-degrading/transporter/utilization proteins led to a discovery of the gene cluster including SAM-dependent methyltransferases (BFF93_RS02055), iron ABC transporter (BFF93_RS02045), hemin-degrading protein (hmuS, BFF93_RS02060), hemin importer ATP-binding protein (BFF93_RS02050) and iron-regulated protein (BFF93_RS02065). Furthermore, there was a gene encoding a hemin receptor (BFF93_RS03140). Elizabethkiniga infections can be fatal in immune-compromised patients if appropriate antibiotic therapy is delayed or the antimicrobial treatment is not properly provided [9, 14]. However, Elizabethkiniga spp. are multi-drug resistant [4, 13]. The prediction results by CARD and RAST (Table 6) showed that there are at least 31 genes involved in antibiotic resistance including antibiotic inactivation enzymes and related efflux pumps in 10.1601/nm.9258 Em3. Many of them are possibly involved in mupirocin, vancomycin, β-lactam, aminocoumarin, elfamycin, isoniazid, tetracycline and fluoroquinolone resistance (Table 6). Several drugs used to treat Elizabethkiniga-infected patients in the past are not effective anymore [4], which agrees with recent resistome assays in clinical 10.1601/nm.9258 isolates [12]. Genes associated with resistance to β-lactams, aminoglycosides, tetracycline, vancomycin, and chloramphenicol, reported here in strain Em3, are present in most of the studied 10.1601/nm.9465 spp. (Table 6). Remarkably, at least 12 β-lactam resistance genes encoding MBL fold metallo-hydrolases, metallo-β-lactamases and β-lactamases (class A and B) were found in 10.1601/nm.9258 Em3 genome (Table 6). Alternatively, antibiotics such as ciprofloxacin, minocycline, trimethoprim-sulfamethoxazole, rifampin and novobiocin may remain effective due to absence of relevant antibiotic resistance genes in 10.1601/nm.9465 sp. [36]. Therefore, a combination of antimicrobial tests and resistome analysis, combined with rapid identification of infections, will contribute to efficient management for 10.1601/nm.9258 infections in the future.
Table 6

Antibiotic genes prediction

E. meningoseptica E. anophelis E. miricola
Locus numberGene in Em3Putative functionEm3502R26NUHP1ATCC 33958EM_CHUV
β-lactam
BFF93_RS01220 bla GOB-13 Class B carbapenemase BlaGOB-13 ++++++
BFF93_RS04805β-lactamase++++++
BFF93_RS05700β-lactamase (EC 3.5.2.6)++++++
BFF93_RS07625 bla ACME β-lactamase (BlaACME) VEB-1-like++++++
BFF93_RS06860 bla B BJP β-lactamase++++++
BFF93_RS09265MBL fold metallo-hydrolase++++++
BFF93_RS06995β-lactamase (EC 3.5.2.6)++++++
BFF93_RS14540β-lactamase+++++
BFF93_RS12085β-lactamase (EC 3.5.2.6)++++++
BFF93_RS12510MBL fold metallo-hydrolase++++++
BFF93_RS14000 blaB-9Class B carbapenemase BlaB-9++++++
BFF93_RS01365β-lactamase (EC 3.5.2.6)++++++
Sulfonamide
BFF93_RS00125dhfRDihydrofolate reductase DHFR++++++
BFF93_RS17395Bifunctional deaminase-reductase++++++
BFF93_RS00125 dhfR Dihydrofolate reductase DHFR++++++
BFF93_RS17395Bifunctional deaminase-reductase protein++++++
BFF93_RS14765 folP Dihydropteroate synthase FolP (EC 2.5.1.15)++++++
Tetracycline
BFF93_RS08380 tetA Tetracycline efflux protein TetA++++++
BFF93_RS07335Transmembrane efflux protein++++++
BFF93_RS12745Antibiotic transporter++++++
Macrolide
BFF93_RS00370 lolD Macrolide resistance, ABC transporter++++++
BFF93_RS05670 emrB Erythromycin resistance, EmrB/QacA++++
BFF93_RS05670 emrB Erythromycin resistance, EmrB/QacA++++++
BFF93_RS10830 emrB Erythromycin resistance, EmrB/QacA++++++
BFF93_RS03320Erythromycin esterase++++++
Quinolone
BFF93_RS04670 gyrA DNA gyrase GyrA subunit A (T83S)++++++
BFF93_RS09245 gyrB DNA gyrase GyrB subunit A (M437 L)++++++
BFF93_RS08895 parE DNA topoisomerase IV subunit B (M437F/A473L)++++++
Aminoglycoside
BFF93_RS10790 ant-6 Aminoglycoside 6-adenylyltransferase++++++
Chloramphenicol
BFF93_RS14765 catB Chloramphenicol acetyltransferase CatB++++++
BFF93_RS04080 bcr/cflA Bcr/CflA efflux pump++++++

“+” or “-” indicates the presence or absence of genes in the selected Elizabethkingia

Antibiotic genes prediction “+” or “-” indicates the presence or absence of genes in the selected Elizabethkingia

Conclusions

The draft genome sequence of 10.1601/nm.9258 Em3 isolated from a sputum sample in a patient was sequenced, annotated and described. We found that 10.1601/nm.9258 Em3 had novel genes encoding thiol-activated cholesterol-dependent cytolysin, curli and heme metabolism related proteins, showing that 10.1601/nm.9258 Em3 may be a causative agent. Our results also indicated that 10.1601/nm.9258 might be resistant to β-lactam antibiotics due to the production of diverse MBLs and β-lactamases. Furthermore, these β-lactamase encoding genes were also found in other 10.1601/nm.9465 species, indicating that 10.1601/nm.9465 species were important reservoirs of novel β-lactamase genes. Comparative genomics is a crucial approach in the discovery of novel virulence determinants in 10.1601/nm.9465 species. Genome-based approaches contribute to develop novel genetic markers for future molecular diagnosis of 10.1601/nm.9465 infections. Phylogenetic tree of the Elizabethkingia genus. The core genome computed by EDGAR 2.0 [50] was extracted to infer a phylogeny for the 18 Elizabethkingia genomes. The amino acid sequences of the core genome were aligned using MUSCLE v3.8.31 [51], and then used to construct a phylogenetic tree using the neighbor-joining method as implemented in the PHYLIP package [52]. The accession numbers for genome sequences are listed in the parenthesis following selected bacteria: E. anophelis R26T (NZ_ANIW01000066), E. anophelis Ag1 (AHHG00000000), E. endophytica CSID 3000516978 (NZ_MAHJ01000016), E. endophytica F3201 (NZ_MAHU01000055), E. endophytica JM-87T (NZ_CP016372), E. anophelis NUHP1 (NZ_CP007547), E. anophelis CSID 3015183678 (NZ_CP014805), E. anophelis FMS007 (NZ_CP006576), E. miricola BM10T (NZ_CP011059), E. miricola CSID_3000517120 (NZ_MAGX01000009), E. miricola GTC862 (NZ_LSGQ01000033), E. meningoseptica ATCC 13253T (NZ_ASAN01000115), E. meningoseptica G4076 (NZ_CP016376), E. meningoseptica CSID_3000515919 (NZ_MAGZ01000024), E. meningoseptica EM1 (NZ_MCJH01000010), E. meningoseptica EM3 (NZ_MDTY01000011), E. meningoseptica EM2 (NZ_MDTZ01000014), E. meningoseptica G4120 (NZ_CP016378), Riemerella anatipestifer ATCC 11845T (NC_017045). (PDF 172 kb) Genome features for the selected Elizabethkingia. Seven genomes from E. meningoseptica were provided for comparison of size, gene count, CRISPR, GC and coding count. (XLS 21 kb)
  48 in total

1.  Clinical and microbiological analysis of bloodstream infections caused by Chryseobacterium meningosepticum in nonneonatal patients.

Authors:  Pen-Yi Lin; Chishih Chu; Lin-Hui Su; Chung-Tsui Huang; Wen-Ya Chang; Cheng-Hsun Chiu
Journal:  J Clin Microbiol       Date:  2004-07       Impact factor: 5.948

Review 2.  Elizabethkingia meningoseptica: an important emerging pathogen causing healthcare-associated infections.

Authors:  S S Jean; W S Lee; F L Chen; T Y Ou; P R Hsueh
Journal:  J Hosp Infect       Date:  2014-02-25       Impact factor: 3.926

3.  Clinical features, antimicrobial susceptibilities, and outcomes of Elizabethkingia meningoseptica (Chryseobacterium meningosepticum) bacteremia at a medical center in Taiwan, 1999-2006.

Authors:  M-S Hsu; C-H Liao; Y-T Huang; C-Y Liu; C-J Yang; K-L Kao; P-R Hsueh
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-04-03       Impact factor: 3.267

4.  Genome of the carbapenemase-producing clinical isolate Elizabethkingia miricola EM_CHUV and comparative genomics with Elizabethkingia meningoseptica and Elizabethkingia anophelis: evidence for intrinsic multidrug resistance trait of emerging pathogens.

Authors:  Onya Opota; Seydina M Diene; Claire Bertelli; Guy Prod'hom; Philippe Eckert; Gilbert Greub
Journal:  Int J Antimicrob Agents       Date:  2016-11-15       Impact factor: 5.283

5.  The role of filamentous hemagglutinin adhesin in adherence and biofilm formation in Acinetobacter baumannii ATCC19606(T).

Authors:  Shakiba Darvish Alipour Astaneh; Iraj Rasooli; Seyed Latif Mousavi Gargari
Journal:  Microb Pathog       Date:  2014-07-30       Impact factor: 3.738

6.  Complete Genome Sequence of Elizabethkingia sp. BM10, a Symbiotic Bacterium of the Wood-Feeding Termite Reticulitermes speratus KMT1.

Authors:  Dongmin Lee; Young-Kyoon Kim; Yeong-Suk Kim; Tae-Jong Kim
Journal:  Genome Announc       Date:  2015-10-08

7.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

8.  Biosynthesis of vitamins and cofactors in bacterium-harbouring trypanosomatids depends on the symbiotic association as revealed by genomic analyses.

Authors:  Cecilia C Klein; João M P Alves; Myrna G Serrano; Gregory A Buck; Ana Tereza R Vasconcelos; Marie-France Sagot; Marta M G Teixeira; Erney P Camargo; Maria Cristina M Motta
Journal:  PLoS One       Date:  2013-11-19       Impact factor: 3.240

9.  Draft Genome Sequences of Elizabethkingia anophelis Strains R26T and Ag1 from the Midgut of the Malaria Mosquito Anopheles gambiae.

Authors:  Phanidhar Kukutla; Bo G Lindberg; Dong Pei; Melanie Rayl; Wanqin Yu; Matthew Steritz; Ingrid Faye; Jiannong Xu
Journal:  Genome Announc       Date:  2013-12-05

10.  Comparative genomic analysis of malaria mosquito vector-associated novel pathogen Elizabethkingia anophelis.

Authors:  Jeanette Teo; Sean Yang-Yi Tan; Yang Liu; Martin Tay; Yichen Ding; Yingying Li; Staffan Kjelleberg; Michael Givskov; Raymond T P Lin; Liang Yang
Journal:  Genome Biol Evol       Date:  2014-05-06       Impact factor: 3.416

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  6 in total

Review 1.  Epidemiology and Characteristics of Elizabethkingia spp. Infections in Southeast Asia.

Authors:  Asdren Zajmi; Jeanette Teo; Chew Chieng Yeo
Journal:  Microorganisms       Date:  2022-04-22

2.  Emerging Infection with Elizabethkingia Meningoseptica in Neonate. A Case Report.

Authors:  Manuela Arbune; Silvia Fotea; Aurel Nechita; Victorita Stefanescu
Journal:  J Crit Care Med (Targu Mures)       Date:  2018-07-01

3.  Comparative genomic analyses reveal diverse virulence factors and antimicrobial resistance mechanisms in clinical Elizabethkingia meningoseptica strains.

Authors:  Shicheng Chen; Marty Soehnlen; Jochen Blom; Nicolas Terrapon; Bernard Henrissat; Edward D Walker
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

4.  Elizabethkingia anophelis: Physiologic and Transcriptomic Responses to Iron Stress.

Authors:  Shicheng Chen; Benjamin K Johnson; Ting Yu; Brooke N Nelson; Edward D Walker
Journal:  Front Microbiol       Date:  2020-05-07       Impact factor: 5.640

5.  Neonatal Meningitis with Septicemia by Elizabethkingia meningoseptica : A Case Report.

Authors:  Neetha S Murthy; Sowmya G Shivappa; A Tejashree; Krishna M V S Karthik; R Deepashree
Journal:  J Lab Physicians       Date:  2022-02-09

6.  Molecular typing and profiling of topoisomerase mutations causing resistance to ciprofloxacin and levofloxacin in Elizabethkingia species.

Authors:  Ming-Jr Jian; Yun-Hsiang Cheng; Cherng-Lih Perng; Hung-Sheng Shang
Journal:  PeerJ       Date:  2018-09-12       Impact factor: 2.984

  6 in total

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