Determination of Elizabethkingia Diversity by MALDI-TOF Mass Spectrometry and Whole-Genome Sequencing

In a hospital-acquired infection with multidrug-resistant Elizabethkingia, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and 16S rRNA gene analysis identified the pathogen as Elizabethkingia miricola. Whole-genome sequencing, genus-level core genome analysis, and in silico DNA-DNA hybridization of 35 Elizabethkingia strains indicated that the species taxonomy should be further explored.


Helle Brander Eriksen, Heidi Gumpert, Cecilie Haase Faurholt, Henrik Westh
In a hospital-acquired infection with multidrug-resistant Elizabethkingia, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and 16S rRNA gene analysis identified the pathogen as Elizabethkingia miricola. Whole-genome sequencing, genus-level core genome analysis, and in silico DNA-DNA hybridization of 35 Elizabethkingia strains indicated that the species taxonomy should be further explored.
E lizabethkingia are gram-negative, nonmotile, nonspore-forming rods that are rarely associated with human disease. E. meningoseptica is the most recognized clinically, mainly causing hospital-acquired infections, including sepsis in immunocompromised patients and meningitis in neonates (1). These bacteria are intrinsically resistant to β-lactam antimicrobial drugs, including second-and third-generation cephalosporins and carbapenems, because they naturally carry an Ambler class A serine β-lactamase gene bla CME , which encodes a penicillin-and cephalosporin-hydrolyzing enzyme (2), and 2 Ambler class B metalloβ-lactamase genes, bla B and bla GOB , which encode carbapenem-hydrolyzing enzymes (3).
The species E. anopheles and E. miricola are increasingly being isolated and cause similar infections to E. meningoseptica (4,5). E. miricola was discovered in condensed water collected onboard the Russian space station Mir in 2003 (6), and E. anopheles was isolated from the midgut of the Anopheles gambiae mosquito in 2011 (7). We report infection with a carbapenem-resistant Elizabethkingia species in a patient in Copenhagen, Denmark in September 2015; we identified the bacterium as E. miricola by using MALDI-TOF (matrix-assisted laser desorption/ionization time-of-flight) mass spectrometry. We further studied the isolate using whole-genome sequencing (WGS) and compared it with other available Elizabethkingia genomes.

The Study
The patient was a 64-year-old man with recurrent erysipelas of both legs. He was initially hospitalized with erysipelas in August 2015 and successfully treated with penicillin and dicloxacillin. On readmission in September 2015, he was again treated with intravenous penicillin and dicloxacillin. Six days later, the patient felt increased pain, and his knee became warm and sore. These findings were interpreted to be symptoms of reactive arthritis caused by a urinary tract infection, and his drug treatment was changed to cefuroxime. The following day, a cloudy synovial fluid was aspired from his knee, so ciprofloxacin was added to his drug regimen. Because of aggravating symptoms and increasing C-reactive protein levels, the patient's treatment was then changed to piperacillin with tazobactam, after which his symptoms improved. The patient was discharged with oral dicloxacillin and ciprofloxacin, and 4 weeks later he was well.
To confirm the species identity and identify the antimicrobial resistance genes, we performed WGS of the isolate with the Illumina MiSeq platform producing 2 × 150-bp paired-end reads by using the Nextera XT library preparation kit (Illumina Denmark ApS, Copenhagen, Denmark). Reads were assembled by using SPAdes, which produced a 4.13-Mbp genome termed HvH-WGS333 (BioProject PRJNA335686, BioSample SAMN05450241). We performed annotation of the genome using Prokka (8) and used ARG-ANNOT (9) to identify 2 metallo-β-lactamase genes, namely bla B-4 and bla  , and an extended-spectrum β-lactamase gene sharing 90.6% nucleotide identity with bla CME-1 . The isolate was identified by EzTaxon (10)  Because the isolate from this patient was not closely related to the E. miricola type strain, we performed a genus-level core genome analysis of 35 publicly deposited Elizabethkingia strains from GenBank to identify a more closely related isolate. Each genome was annotated (8) and the core genome was approximated by ROARY (11), yielding a 419,813-bp core genome of 426 genes. We constructed a phylogenetic tree of the core genome using RAxML (12) with 100 bootstrapping replicates (Figure). The ATCC 13253 E. meningoseptica strain did not cluster with the other E. meningoseptica strains and was the most distantly related Elizabethkingia sp. analyzed. Before WGS was commonly used, high levels of divergence were reported among E. meningoseptica (formerly Flavobacterium meningosepticum) isolates, with 2 groups detected, Ursing and Bruun (UB) I and UBII (13), with ATCC 13253 belonging to UBI. Our HvH-WGS333 isolate was most closely related to EM_CHUV, an endotracheal isolate submitted as E. miricola; these 2 isolates are next most closely related to G4071, which belongs to the UBII:2 (13), and then to GTC 862 E. miricola. E. miricola ATCC 33958 is most closely related to G4075, a clinical blood culture E. meningoseptica in the UBII:3 group. Strains belonging to groups UBI and UBII are phenotypically very similar, explaining why DNA-DNA hybridization (DDH) was previously used to distinguish these groups (14).
Additionally, we performed in silico DDH (15) to other sequenced Elizabethkingia isolates to determine whether our isolate could be defined as the same species (i.e., having a DDH value >70%). The in silico DDH value is calculated by summing up the identities in matches between the genome sequences and dividing by the total match hit lengths. HvH-WGS333 only had an in silico DDH >70% with EM_CHUV and G4071, which clustered most closely together in the tree but was also closely related (67.1%) to strain GTC 862 (Figure). A previous DDH study investigating the Elizabethkingia genus found DDH values at 70°C of 52% between UBII:2 and UBII:3, 45% between UBII:2 and UBII:4, and 36% between UBII:3 and UBII: 4 (14), in agreement with our in silico DDH results (Figure). Our analyses support the identification of the 3 UBII subgroups 2, 3, and 4 as being 3 different Elizabethkingia species, with UBII:2 being the closest related to the E. miricola type strain.

Conclusions
The wide adoption of MALDI-TOF mass spectrometry for bacterial identification is likely to increase the detection of infections caused by Elizabethkingia, and thus the number of infection reports. However, the applied MALDI-TOF database contained only 3 E. meningoseptica and 1 E. miricola isolates at the time of our study. Identification on the basis of the 16S rRNA gene corroborated our MALDI-TOF mass spectrometry identification of E. miricola. When exploring this further using WGS, we discovered our isolate shared 80.5% of the GTC 862 E. miricola genome and the in silico DDH value was 67.1%, just below the 70% species threshold. It thus appears that our isolate, along with EM_CHUV and G4071, is closely related to the E. miricola species and that the taxonomic position of the UBII:3 and UBI:4 strains should be reconsidered. In light of our WGS analysis demonstrating considerable Elizabethkingia genetic diversity, we suggest that the MALDI-TOF database needs to be updated and the nomenclature needs to be re-examined. WGS is proving to be a valuable tool for the

Figure.
Phylogenetic tree of Elizabethkingia isolate from a patient with hospital-acquired septic arthritis in Copenhagen, Denmark 2015 compared with reference strains and in silico DNA-DNA hybridization (DDH). Tree was produced by using the Elizabethkingia core genome from all publicly available Elizabethkingia. Bootstrapping support was implemented by running 100 replicates, with values >70% indicated on branches. Initial species identification followed by NCBI isolate name is indicated in the tree. Isolates assigned into Ursing and Bruun (UB) groups and subgroups are indicated in brackets following the isolate name.