Figures
Abstract
The genus Enterococcus is increasingly recognized for its involvement in various human infections, with several species known to be pathogenic. This study characterized Enterococcus sp. SMC-9, isolated from bile of a patient with cholangitis, and compared its characteristics with those of Enterococcus montenegrensis CoE-012-22T, recently isolated from dried beef sausage. A comprehensive analysis, encompassing phylogenetic, genomic, and phenotypic studies, confirmed that strain SMC-9 belongs to the same species as E. montenegrensis CoE-012-22T. However, comparative genomic analysis revealed key differences in virulence and antibiotic resistance gene profiles between the two strains. Notably, genes related to exopolysaccharide biosynthesis and the L-rhamnose biosynthesis pathway were found exclusively in strain SMC-9, suggesting their role in the strain’s colonization of the biliary tract and its involvement in cholangitis. Additionally, the tetracycline resistance gene tet(M), which was absent in E. montenegrensis CoE-012-22T, was identified in strain SMC-9, explaining its high tetracycline minimum inhibitory concentration (>16 μg/mL). These findings highlight the unique pathogenic traits of strain SMC-9 compared to E. montenegrensis CoE-012-22T. Our study underscores the significant genetic and phenotypic variations that can exist among strains within the same species, highlighting the critical need for strain typing to assess their potential impact on patient outcomes and public health.
Citation: Yu S, Kang M, Yoo Y, Kim TY, Huh HJ, Lee NY (2024) Characterization of an Enterococcus sp. SMC-9 strain isolated from bile of a patient with cholangitis. PLoS ONE 19(12): e0312953. https://doi.org/10.1371/journal.pone.0312953
Editor: Aashaq Hussain Bhat, Chandigarh University, INDIA
Received: January 30, 2024; Accepted: October 16, 2024; Published: December 2, 2024
Copyright: © 2024 Yu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The whole-genome shotgun sequencing project of Enterococcus sp. strain SMC-9 has been deposited in GenBank under accession number JAILYE000000000, with its 16S rRNA gene sequence available under accession number OL689132.
Funding: This study was supported by Future Medicine 2030 Project of Samsung Medical Center, Republic of Korea (grant number: SMX1240031), and by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: RS-2024-00332244).
Competing interests: The authors have declared that no competing interests exist.
Introduction
The genus Enterococcus was first described by Schleifer and Kilpper-Bälz [1] and currently comprises 62 species with a validly published and correct name [2]. Members of the genus Enterococcus, collectively termed enterococci, are Gram-stain-positive, catalase- and oxidase-negative, non-spore-forming, facultative anaerobic bacteria that produce lactic acid as the major product of carbohydrate fermentation. Enterococci are widely distributed in the environment, especially in soil, water, and plants, and are normal inhabitants of the gastrointestinal tract of humans and animals [3]. Enterococci have traditionally been considered to be of low pathogenicity but have recently emerged as a major cause of nosocomial infections worldwide [4]. To date, 17 enterococcal species have been associated with human infections, including bacteremia, endocarditis, catheter-related urinary tract infections, neonatal sepsis, surgical and burn wound infections, meningitis, and intra-abdominal and pelvic infections [5, 6]. Notably, enterococci are leading causative agents of biliary tract infections, with Enterococcus faecalis and Enterococcus faecium being the most commonly involved species.
The initial objective of this study was to investigate the characteristics and taxonomic status of strain SMC-9, isolated from bile of a patient with cholangitis in April 2021. At the time of isolation, strain SMC-9 was believed to represent a novel species within the genus Enterococcus. However, during the course of this research, a similar strain (CoE-012-22T) was isolated from dried beef sausage. Based on its phenotypic and genomic characteristics, this strain was considered to represent a novel species, for which the name Enterococcus montenegrensis sp. nov. is proposed. Additionally, strain CoE-012-22T contains genes linked to hydrolase activity on ester bonds, carbohydrate transmembrane transporter activity, and tagatose-bisphosphate aldolase activity, which are known to improve food flavors or textures. Other genes identified are related to sialic acid lyase activity, DNA-binding transcription factor activity, flavin mononucleotide binding, and histidine-containing phosphotransfer, which play roles in signaling, immunity, and gene expression regulation [7]. Despite these findings, our study remains focused on the detailed characterization of strain SMC-9, as it was isolated from the bile of a cholangitis patient, unlike strain CoE-012-22T, which was isolated from food. We aimed to elucidate the unique pathogenic traits of strain SMC-9 that distinguish it from strain CoE-012-22T.
Materials and methods
Ethics statement
The present study was reviewed and approved by the Institutional Review Board of Samsung Medical Center, Seoul, South Korea (approval number: 2023-08-008). Given the retrospective study design, the requirement for informed consent was waived. A chart review was conducted from October to November 2023. No patient-identifying information was recorded.
Strain isolation and patient history
Strain SMC-9 was isolated from the bile of a patient with cholangitis who had undergone percutaneous transhepatic biliary drainage (PTBD) due to malignant biliary obstruction. The patient presented to the emergency room with a high fever (40.1°C) and chills. Blood tests revealed anemia (hemoglobin: 8.6 g/dL), leukocytosis with neutrophilia (white blood cells: 12.7 × 109/L; neutrophils: 96.1%), and elevated C-reactive protein (11.7 mg/dL). Liver function tests indicated obstructive jaundice, with total bilirubin of 3.8 mg/dL, direct bilirubin of 3.3 mg/dL, alkaline phosphatase of 1,296 U/L, and gamma-glutamyl transferase of 239 U/L. Suspecting acute cholangitis, bile and blood cultures were performed, and empirical antibiotic therapy (intravenous piperacillin/tazobactam 4.5 g every 8 hours) was initiated. A bile specimen collected through the PTBD tube was inoculated onto a blood agar plate and incubated aerobically at 37°C for 24 hours, resulting in the growth of cream-colored colonies. Initially, these colonies were identified as Streptococcus bovis using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (VITEK MS; bioMérieux, Marcy-l’Étoile, France) with a confidence value of 68.0%. However, further testing using an automated system for biochemical identification and antimicrobial susceptibility testing (AST) (VITEK 2; bioMérieux) identified the isolate, designated as SMC-9, as E. faecium with 99% probability. Empirical antibiotic therapy was continued for five days with a good clinical response; however, bile cultures persistently grew the same organism, and C-reactive protein levels remained elevated. The antibiotic regimen was then switched to intravenous tigecycline 50 mg every 12 hours. After eight days of tigecycline treatment, bile cultures turned negative, and the patient was referred to a palliative care hospital for supportive care.
Antimicrobial susceptibility testing
AST was carried out using VITEK 2, with minimum inhibitory concentrations (MICs) interpreted based on the breakpoints described in the Clinical and Laboratory Standards Institute M100-Ed31 document [8].
Phenotypic characterization
The cell morphology of strain SMC-9 was examined using transmission electron microscopy (TEM) (HT7700; Hitachi, Tokyo, Japan) at an accelerating voltage of 100 keV. Prior to analysis, the strain was cultured aerobically on MRS agar (Thermo Fisher Scientific, Waltham, MA, USA) at 37°C for 48 h. Sample preparation for TEM analysis was performed as previously described with minor modifications [9]. Briefly, bacterial cells were fixed with 2.5% glutaraldehyde and post-fixed with 2% osmium tetroxide. After dehydration in a graded series of ethanol, the cells were embedded in epoxy resin and sliced using an ultramicrotome (Leica EM UC7 Ultramicrotome; Leica Microsystems, Wetzlar, Germany). The ultrathin sections were then stained with uranyl acetate and lead citrate and examined using TEM.
Comparative phenotypic analysis of strain SMC-9 and closely related type strains was performed. The type strains used for comparison with strain SMC-9 were obtained from the National Collection of Industrial, Food and Marine Bacteria (E. montenegrensis CoE-012-22T = NCIMB 15468T), the Japan Collection of Microorganisms (Enterococcus saigonensis JCM 31193T), the Korean Collection for Type Cultures (Enterococcus canintestini KCTC 21021T, Enterococcus dispar KCTC 13288T, and Enterococcus asini KCTC 13286T), and the Korean Agricultural Culture Collection (Enterococcus diestrammenae KACC 16708T). Catalase and oxidase activities were examined with 3% (v/v) hydrogen peroxide solution (Sigma‐Aldrich, St. Louis, MO, USA) and 1% (w/v) tetramethyl-p-phenylenediamine solution (bioMérieux), respectively. The presence of Lancefield group D antigen was tested using the Oxoid Streptococcal Grouping Kit (Thermo Fisher Scientific). Tolerance to bile and the ability to hydrolyze esculin were assessed on bile esculin agar (Merck, Darmstadt, Germany). Other biochemical characteristics were determined using API 20 Strep (bioMérieux).
The growth of strain SMC-9 and E. montenegrensis CoE-012-22T under different NaCl concentrations, pH levels, and temperatures was tested. The salinity test was conducted on MRS agar with NaCl concentrations ranging from 0% to 8%, increasing in increments of 0.5%. The pH test was conducted at the optimal NaCl concentration determined earlier, with a pH range from 4.5 to 10.0 in intervals of 0.5. The growth was further investigated at different temperatures–4, 10, 15, 20, 25, 28, 30, 37, 40, 42, 45, and 50°C–under the optimal NaCl concentration and pH level.
Whole-genome sequence analysis
Genomic DNA was extracted using the MG Genomic DNA Purification Kit (Macrogen, Seoul, South Korea), and sequencing libraries were prepared using the TruSeq DNA Nano Library Prep Kit (Illumina, San Diego, CA, USA). Whole-genome sequencing was performed using the HiSeq X Ten system (Illumina). Raw paired-end reads underwent trimming to remove adapter sequences, low-quality reads, and PhiX sequences using BBDuk v38.84 [10] Subsequently, the trimmed reads were de novo assembled using SPAdes v3.13.0 [11]. The assembled contigs were annotated using Prokka v1.14.6 [12] and the Rapid Annotation using Subsystem Technology (RAST) server v2.0 [13–15]. The comparison of gene functions between strain SMC-9 and strain CoE-012-22T was performed using the RAST server v2.0 and the Kyoto Encyclopedia of Genes and Genomes (KEGG) v110.1 [16]. Pathogenicity potential was assessed using PathogenFinder v1.1 (database version: 2014) [17], and virulence genes were identified using VirulenceFinder v2.0.5 (database version: 2022-12-02) [18]. Antibiotic resistance genes were detected using the Comprehensive Antibiotic Resistance Database (CARD) v3.2.9 (database version: 2024-02-13) [19] and ResFinder v4.4.2 (database version: 2023-04-12) [20]. The DNA G+C content was calculated from the genome sequences. The circular genome was visualized using Proksee v1.0.0 [21].
Phylogenetic and phylogenomic analyses
The full-length sequence of the 16S rRNA gene was retrieved from the genome sequence of strain SMC-9 and compared with the corresponding sequences of related strains within the genus Enterococcus available in the NCBI database (https://www.ncbi.nlm.nih.gov/genbank/). Sequence similarity was calculated using the pairwise sequence alignment tool in NCBI. Multiple sequence alignment was performed using Clustal X [22], and the phylogenetic tree was constructed using the neighbor-joining method with 1,000 bootstrap replicates in MEGA 11 software [23].
For phylogenomic analysis, genome sequences of related strains within the genus Enterococcus were downloaded from the RefSeq database (https://www.ncbi.nlm.nih.gov/refseq/). Average nucleotide identity (ANI) and in silico DNA-DNA hybridization (isDDH) values between strain SMC-9 and these strains were computed using the ANI calculator based on the OrthoANIu algorithm [24, 25] and the Genome-to-Genome Distance Calculator 3.0 with formula 2 [26, 27], respectively. A heatmap for strain SMC-9 and related enterococcal strains was generated based on OrthoANI values calculated using the OAT software [25]. Additionally, a phylogenomic tree was constructed using their genome sequences. Briefly, single-copy orthologs were identified using OrthoFinder v2.4.0 with the inflation parameter set to 3.0 [28]. The amino acid sequences of these orthologs were aligned using MAFFT v7.475 with the “—auto” option [29] and trimmed using Gblocks v0.91b [30]. The trimmed alignment was submitted to IQ-TREE v1.3.11.1 [31], where a maximum-likelihood tree was built using the LG substitution model selected by ModelFinder [32] and 100 bootstrap replicates. Type (Strain) Genome Server (https://tygs.dsmz.de) results, including species cluster, subspecies cluster, G+C content, delta statistics, genome size, and protein count, were incorporated alongside the phylogenomic tree [33].
Results and discussion
Phenotypic characteristics
Colonies grown on MRS agar after incubation at 37°C for 48 h were circular, convex, entire, smooth, shiny, greyish-white, and 1–2 mm in diameter. Under TEM observation, the cells of strain SMC-9 were spherical or ovoid in shape with 0.7–1.2 μm in diameter. Flagella were not seen in the cells, suggesting that this strain is non-motile (Fig 1).
The organism is spherical (A) or ovoid (B) in shape with 0.7–1.2 μm in diameter. The scale bar indicates 500 nm. CW, cell wall; CM, cytoplasmic membrane.
Strain SMC-9 exhibited distinct growth patterns compared to E. montenegrensis CoE-012-22T in terms of salinity, pH, and temperature tolerance. The salinity tests showed that strain SMC-9 could grow in NaCl concentrations ranging from 0% to 5.5%, with optimal growth observed at a 3.0% NaCl concentration. In contrast, E. montenegrensis CoE-012-22T could grow in NaCl concentrations ranging from 0% to 6.0%. When tested at a 3.0% NaCl concentration, strain SMC-9 exhibited growth between pH 5.0 and 7.5, with optimal growth observed within the pH range of 6.0 to 6.5. In comparison, E. montenegrensis CoE-012-22T showed growth over a broader pH range, from 5.0 to 8.0. Under conditions of 3.0% NaCl and pH 6.5, E. montenegrensis CoE-012-22T demonstrated growth across a wide temperature range of 4 to 50°C, while strain SMC-9 exhibited growth only within a narrower range of 25 to 37°C.
Strain SMC-9 lacked the Lancefield group D antigen and exhibited negative reactions in both catalase and oxidase tests. Despite being considered the same species, strain SMC-9 and E. montenegrensis CoE-012-22T exhibited notable phenotypic differences. Specifically, strain SMC-9 was positive for hippuric acid hydrolysis, a trait not observed in E. montenegrensis CoE-012-22T. Conversely, E. montenegrensis CoE-012-22T displayed α-galactosidase activity, which was absent in strain SMC-9. Furthermore, strain SMC-9 did not ferment D-raffinose and starch, both of which were acidified by E. montenegrensis CoE-012-22T (Table 1).
16S rRNA gene sequence and phylogenetic analysis
The full-length sequence (1,558 bp) of the 16S rRNA gene (GenBank accession number OL689132) was obtained from the whole genome sequence of strain SMC-9. Based on the 16S rRNA gene sequence, strain SMC-9 was most closely related to E. montenegrensis CoE-012-22T (100%), followed by E. canintestini DSM 21207T (99.6%), E. saigonensis VE80T (99.6%) and E. dispar ATCC 51266T (99.3%). In the phylogenetic tree based on 16S rRNA gene sequences (Fig 2), strain SMC-9 clustered closest with E. montenegrensis CoE-012-22T. Additionally, the strain formed a closely related clade with E. canintestini LMC 13590T, E. saigonensis VE80T, and E. dispar NCFB 2821T. The clustering observed in the phylogenetic tree is consistent with the numerical sequence similarities, providing support for the classification of strain SMC-9 as the most closely related to E. montenegrensis CoE-012-22T.
Bootstrap values (≥50%) based on 1,000 replications are given at branch nodes. Tetragenococcus solitarius 885/78T was used as an outgroup. Bar, 0.01 substitutions per nucleotide.
Phylogenomic analysis and genomic characteristics
The genome size of strain SMC-9 was 2.81 Mb with a DNA G+C content of 37.5 mol%, which is within the range reported for Enterococcus species (genome size: 2.3 to 5.3 Mb; G+C content: 34 to 45 mol%) [34]. Genome annotation using Prokka predicted 2,639 coding sequences (CDS), 53 tRNA genes, 3 rRNA genes, and 1 tmRNA gene. The RAST server annotation predicted 2,713 CDS, of which 1,290 (47.5%) were classified into 353 subsystems. The most abundant subsystem category was carbohydrates (390 CDS), followed by amino acids and derivatives (273 CDS), protein metabolism (222 CDS), cell wall and capsule (133 CDS), and DNA metabolism (123 CDS) (S1 Fig). The circular genome map of strain SMC-9 is shown in S2 Fig.
In the phylogenomic tree based on genome sequences (Fig 3), strain SMC-9 formed a distinct clade with E. montenegrensis CoE-012-22T, E. canintestini LMC 13590T, E. saigonensis VE80T, and E. dispar NCFB 2821T. Notably, the closest clustering was observed with E. montenegrensis CoE-012-22T. These findings are consistent with those observed in the phylogenetic tree based on 16S rRNA gene sequences. The ANI and isDDH values between strain SMC-9 and related strains of the genus Enterococcus were 70.4–98.7% and 20.2–90.9%, respectively. The highest ANI and isDDH values (98.7% and 90.9%, respectively) were observed between strain SMC-9 and E. montenegrensis CoE-012-22T (Table 2 and Fig 4), exceeding the thresholds for the delineation of prokaryotic species (95–96% for ANI and 70% for isDDH) [35]. Based on the results of phylogenetic and phylogenomic analyses, we suggest that strain SMC-9 belongs to the same species as E. montenegrensis CoE-012-22T.
The tree was reconstructed based on the 562 single-copy orthologue protein sequences. Bootstrap values (≥50%) based on 100 replications are given at branch nodes. Type Strain Genome Server analysis (TYGS) results, including species cluster, subspecies cluster, GC content, delta statistics, genome size, and protein count, were incorporated alongside the phylogenomic tree. Tetragenococcus solitarius 885/78T was used as an outgroup.
While strain SMC-9 and strain CoE-012-22T share highly similar genomes, differences were noted in their genomic profiles. Comparative genomic analysis on the RAST server, focusing on the chromosomal regions that encode gene functions, revealed a high degree of similarity between the two strains, with 822 matching categories. However, strain SMC-9 exhibited 60 unique gene categories not found in E. montenegrensis CoE-012-22T, while E. montenegrensis CoE-012-22T had 14 unique gene categories not present in strain SMC-9 (Fig 5). The dominant functional gene categories, including those involved in Amino Acids and Derivatives, Carbohydrates, and Protein Metabolism, were mostly shared between strain SMC-9 and E. montenegrensis CoE-012-22T. However, strain SMC-9 exhibited 20 additional genes in the Amino Acids and Derivatives category and 11 additional genes in the Carbohydrates category compared to E. montenegrensis CoE-012-22T. Of particular interest is the Cell Wall and Capsule category, common to both strains. Within this category, genes responsible for “Exopolysaccharide Biosynthesis” were exclusively found in strain SMC-9 (S1 Table). These functional genes play a crucial role in biofilm formation, which provides a protective environment for bacteria, enhancing their survival against adverse conditions, including immune responses and antibiotic treatments [36]. Although the VirulenceFinder analysis did not identify any specific virulence genes in strain SMC-9, the KEGG analysis revealed that this strain uniquely harbors four genes involved in the L-rhamnose biosynthesis pathway (rmlA, rmlB, rmlC, and rmlD). Rhamnose-rich cell wall polysaccharides have been reported to affect virulence and colonization potential in the host gut [37, 38]. Thus, the presence of these genes in strain SMC-9 may have facilitated its colonization of the biliary tract and contributed to the development of cholangitis in the patient.
(A) Compositions of gene ontology categories with the inner ring representing the genome of E. montenegrensis CoE-012-22T and the outer ring representing the genome of strain SMC-9, (B) Venn diagram showing the number of shared and specific gene orthologs within the genomes.
The KEGG analysis detected no genes related to primary or secondary bile salt metabolism in strain SMC-9 and E. montenegrensis CoE-012-22T. However, it revealed that both strains shared xthA and nfo, which are required for base excision repair to overcome DNA damage caused by bile salts. They also possessed dinB and recA, which are necessary for SOS-associated DNA repair for bile-induced DNA damage [39, 40]. Additionally, they shared mrcA, a gene encoding penicillin-binding protein 1A, which is known to be related to bile tolerance [39, 41]. These findings suggest that both strains are tolerant to bile, as demonstrated by their growth on bile esculin agar.
Using PathogenFinder, strain SMC-9 was predicted to be a human pathogen with a probability of 0.897 and matched to 10 pathogenic protein families: 1 SSU ribosomal protein S19P, 1 30S ribosomal protein S21, 1 polyribonucleotide nucleotidyltransferase, 1 ribosomal protein L29, 2 conserved hypothetical proteins from Streptococcus mitis, 1 conserved hypothetical protein from Staphylococcus aureus, 1 conserved hypothetical protein from Enterococcus faecalis, and 2 hypothetical proteins from Staphylococcus aureus. In contrast, PathogenFinder analysis predicted E. montenegrensis CoE-012-22T as non-pathogenic [7]. These findings indicate that strain SMC-9 is a causative agent of cholangitis and possesses pathogenic traits distinct from E. montenegrensis CoE-012-22T.
Antimicrobial susceptibility testing results
The AST results obtained using VITEK 2 were as follows: ampicillin, ≤2 μg/mL (susceptible); ciprofloxacin, 1 μg/mL (susceptible); erythromycin, 4 μg/mL (intermediate); levofloxacin, 1 μg/mL (susceptible); linezolid, 2 μg/mL (susceptible); nitrofurantoin, ≤16 μg/mL (susceptible); norfloxacin, 4 μg/mL (susceptible); penicillin, 0.5 μg/mL (susceptible); Quinupristin-dalfopristin, 2 μg/mL (intermediate); teicoplanin, ≤0.5 μg/mL (susceptible); tetracycline, >16 μg/mL (resistant); vancomycin, ≤0.5 μg/mL (susceptible); high-level gentamicin (susceptible); high-level streptomycin (susceptible). While certain species within the genus Enterococcus, particularly common hospital isolates such as E. faecium and E. faecalis, are known to exhibit resistance to various antibiotics [42, 43], strain SMC-9, albeit isolated in hospital setting, showed susceptibility to most antibiotics tested. This susceptibility profile holds particular significance given the frequent occurrence of antibiotic-resistant Enterococcus strains in hospital environments.
The genome analysis using the CARD and ResFinder revealed that the tetracycline resistance gene tet(M) was present in the genome of strain SMC-9, which accounts for the high tetracycline MIC value of this strain (>16 μg/mL). In enterococci, tet(M), which encodes a ribosomal protection protein, is the most frequently encountered tetracycline resistance gene [44, 45]. In contrast, E. montenegrensis CoE-012-22T lacked tet(M), explaining its susceptibility to tetracycline [7]. The CARD also identified vanY in the vanB cluster (vanYB) and vanT in the vanG cluster (vanTG) in the genomes of both strain SMC-9 and E. montenegrensis CoE-012-22T. vanYB encodes a D,D-carboxypeptidase that cleaves the terminal D-Ala from peptidoglycan precursors, preventing the binding of vancomycin, while vanTG encodes a membrane-bound serine racemase, which converts L-Serine to D-Serine, the key substrate for the D-Ala-D-Ser-based vancomycin resistance mechanism [46]. Despite the presence of vanYB and vanTG, both strain SMC-9 and E. montenegrensis CoE-012-22T lacked the complete gene cassettes required for vancomycin resistance, rendering these strains vancomycin-susceptible.
In conclusion, strain SMC-9, isolated from bile of a patient with acute cholangitis, demonstrated key differences in virulence and antibiotic resistance gene profiles compared to E. montenegrensis CoE-012-22T, which was isolated from dried beef sausage, despite both strains belonging to the same species. Notably, genes related to exopolysaccharide biosynthesis and the L-rhamnose biosynthesis pathway were found exclusively in strain SMC-9, suggesting their role in the strain’s colonization of the biliary tract and its involvement in cholangitis. Additionally, the tetracycline resistance gene tet(M), which was absent in E. montenegrensis CoE-012-22T, was identified in strain SMC-9, explaining its high tetracycline MIC (>16 μg/mL). These findings underscore the unique pathogenic traits of strain SMC-9 compared to E. montenegrensis CoE-012-22T. This study highlights significant genetic and phenotypic variations that can exist among strains classified within the same species, emphasizing the critical need for strain typing to evaluate their potential impact on patient outcomes and public health. In the context of increasing awareness of antibiotic-resistant Enterococcus infections, continued research into the characteristics of variant strains isolated from patients, particularly those with multidrug resistance, is of critical clinical importance.
Description of Enterococcus sp. strain SMC-9
Cells are Gram-stain-positive, spherical- or ovoid-shaped cocci with 0.7–1.2 μm in diameter that usually occur in pairs or short chains. When cultured on MRS agar, growth is observed at temperatures between 25 and 37°C, with an optimal temperature of 37°C. The strain can grow in NaCl concentrations ranging from 0% to 5.5%, with optimal growth occurring at 3.0% NaCl. Additionally, it is capable of growing in a pH range from 5.0 to 7.5, with optimal growth observed between pH 6.0 and 6.5. Colonies grown on MRS agar after incubation at 37°C for 48h are circular, convex, entire, smooth, shiny, greyish-white, and 1–2 mm in diameter. The strain is catalase- and oxidase-negative, lacks the Lancefield group D antigen, and is capable of growing on bile esculin agar. The strain is positive for acetoin production, hippuric acid hydrolysis, β-glucosidase hydrolysis, pyrrolidonyl arylamidase, leucine aminopeptidase, and arginine dihydrolase, and negative for α-galactosidase, β-glucuronidase, β-galactosidase, and alkaline phosphatase. Acid is produced from D-ribose, D-lactose, and D-trehalose, but not from L-arabinose, D-mannitol, D-sorbitol, inulin, D-raffinose, starch, and glycogen.
The strain is SMC-9 (= KCTC 21174 = JCM 34907), isolated from bile of a patient with cholangitis. The draft genome of the strain is 2.81 Mb in size with a DNA G+C content of 37.5 mol%.
Supporting information
S1 Fig. Subsystem coverage and category distribution of strain SMC-9 based on the RAST annotation results.
https://doi.org/10.1371/journal.pone.0312953.s001
(TIF)
S1 Table. Comparative genome analysis of strain SMC-9 and E. montenegrensis CoE-012-22T based on the RAST server.
https://doi.org/10.1371/journal.pone.0312953.s003
(XLSX)
References
- 1. Schleifer KH, Kilpper-Bälz R. Transfer of Streptococcus faecalis and Streptococcus faecium to the Genus Enterococcus nom. rev. as Enterococcus faecalis comb. nov. and Enterococcus faecium comb. nov. Int J Syst Evol Microbiol. 1984; 34:31–4.
- 2. Parte AC, Sardà Carbasse J, Meier-Kolthoff JP, Reimer LC, Göker M. List of prokaryotic names with standing in nomenclature (LPSN) moves to the DSMZ. Int J Syst Evol Microbiol. 2020; 70:5607–12. pmid:32701423.
- 3. Fisher K, Phillips C. The ecology, epidemiology and virulence of Enterococcus. Microbiology (Reading). 2009; 155:1749–57. pmid:19383684.
- 4. Guzman Prieto AM, van Schaik W, Rogers MR, Coque TM, Baquero F, Corander J, et al. Global emergence and dissemination of Enterococci as nosocomial pathogens: attack of the clones? Front Microbiol. 2016; 7:788. pmid:27303380.
- 5. Ramos S, Silva V, Dapkevicius MLE, Igrejas G, Poeta P. Enterococci, from harmless bacteria to a pathogen. Microorganisms. 2020; 8:1118. pmid:32722391.
- 6.
Bennett JE, Dolin R, Blaser MJ. Mandell, Douglas, and Bennett’s principles and practice of infectious diseases. Eighth edition. Philadelphia, PA: Elsevier/Saunders; 2015.
- 7. Daza-Prieto B, Raicevic N, Cabal A, Hyden P, Mösenbacher T, Ladstätter J, et al. Enterococcus montenegrensis sp. nov., isolated from artisanal Montenegrin dry sausage. Int J Syst Evol Microbiol. 2024; 74 pmid:38240650.
- 8.
CLSI. Performance standards for antimicrobial susceptibility testing. 31st ed. CLSI supplement M100. Clinical and Laboratory Standards Institute; 2021.
- 9. Baek JY, Chung DR, Ko KS, Kim SH, Yang SJ, Kang CI, et al. Genetic alterations responsible for reduced susceptibility to vancomycin in community-associated MRSA strains of ST72. J Antimicrob Chemother. 2017; 72:2454–60. pmid:28595277.
- 10. Bushnell B. BBTools. 2016. Available from: https://jgi.doe.gov/data-and-tools/bbtools.
- 11. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol. 2012; 19:455–77. pmid:22506599.
- 12. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics. 2014; 30:2068–9. pmid:24642063.
- 13. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, et al. The RAST Server: rapid annotations using subsystems technology. BMC Genomics. 2008; 9:75. pmid:18261238.
- 14. Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ, Disz T, et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res. 2014; 42:D206–14. pmid:24293654.
- 15. Brettin T, Davis JJ, Disz T, Edwards RA, Gerdes S, Olsen GJ, et al. RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci Rep. 2015; 5:8365. pmid:25666585.
- 16. Kanehisa M, Sato Y, Morishima K. BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J Mol Biol. 2016; 428:726–31. pmid:26585406.
- 17. Cosentino S, Voldby Larsen M, Møller Aarestrup F, Lund O. PathogenFinder -distinguishing friend from foe using bacterial whole genome sequence data. PLoS One. 2013; 8:e77302. pmid:24204795.
- 18. Joensen KG, Scheutz F, Lund O, Hasman H, Kaas RS, Nielsen EM, et al. Real-time whole-genome sequencing for routine typing, surveillance, and outbreak detection of verotoxigenic Escherichia coli. J Clin Microbiol. 2014; 52:1501–10. pmid:24574290.
- 19. Alcock BP, Huynh W, Chalil R, Smith KW, Raphenya AR, Wlodarski MA, et al. CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res. 2023; 51:D690–d9. pmid:36263822.
- 20. Bortolaia V, Kaas RS, Ruppe E, Roberts MC, Schwarz S, Cattoir V, et al. ResFinder 4.0 for predictions of phenotypes from genotypes. J Antimicrob Chemother. 2020; 75:3491–500. pmid:32780112.
- 21. Grant JR, Enns E, Marinier E, Mandal A, Herman EK, Chen CY, et al. Proksee: in-depth characterization and visualization of bacterial genomes. Nucleic Acids Res. 2023; 51:W484–w92. pmid:37140037.
- 22. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, et al. Clustal W and Clustal X version 2.0. Bioinformatics. 2007; 23:2947–8. pmid:17846036.
- 23. Tamura K, Stecher G, Kumar S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol Biol Evol. 2021; 38:3022–7. pmid:33892491.
- 24. Yoon SH, Ha SM, Lim J, Kwon S, Chun J. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie Van Leeuwenhoek. 2017; 110:1281–6. pmid:28204908.
- 25. Lee I, Ouk Kim Y, Park S-C, Chun J. OrthoANI: an improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol. 2016; 66:1100–3. pmid:26585518.
- 26. Meier-Kolthoff JP, Auch AF, Klenk HP, Göker M. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics. 2013; 14:60. pmid:23432962.
- 27. Meier-Kolthoff JP, Carbasse JS, Peinado-Olarte RL, Göker M. TYGS and LPSN: a database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes. Nucleic Acids Res. 2022; 50:D801–7. pmid:34634793.
- 28. Emms DM, Kelly S. OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 2019; 20:238. pmid:31727128.
- 29. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013; 30:772–80. pmid:23329690.
- 30. Castresana J. Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000; 17:540–52. pmid:10742046.
- 31. Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015; 32:268–74. pmid:25371430.
- 32. Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods. 2017; 14:587–9. pmid:28481363.
- 33. Meier-Kolthoff JP, Göker M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat Commun. 2019; 10:2812. pmid:31097708.
- 34. Zhong Z, Zhang W, Song Y, Liu W, Xu H, Xi X, et al. Comparative genomic analysis of the genus Enterococcus. Microbiol Res. 2017; 196:95–105. pmid:28164795.
- 35. Kim M, Oh HS, Park SC, Chun J. Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int J Syst Evol Microbiol. 2014; 64:346–51. pmid:24505072.
- 36. Costeron JW, Stewart PS, Greenberg EP. Bacterial biofilms: a common cause of persistent infections. Science. 1999; 284:1318–22. pmid:10334980.
- 37. Mistou MY, Sutcliffe IC, van Sorge NM. Bacterial glycobiology: rhamnose-containing cell wall polysaccharides in Gram-positive bacteria. FEMS Microbiol Rev. 2016; 40:464–79. pmid:26975195.
- 38. Guérin H, Kulakauskas S, Chapot-Chartier MP. Structural variations and roles of rhamnose-rich cell wall polysaccharides in Gram-positive bacteria. J Biol Chem. 2022; 298:102488. pmid:36113580.
- 39. Urdaneta V, Casadesús J. Interactions between bacteria and bile salts in the gastrointestinal and hepatobiliary tracts. Front Med (Lausanne). 2017; 4:163. pmid:29043249.
- 40. Prieto AI, Ramos-Morales F, Casadesús J. Repair of DNA damage induced by bile salts in Salmonella enterica. Genetics. 2006; 174:575–84. pmid:16888329.
- 41. Langridge GC, Phan MD, Turner DJ, Perkins TT, Parts L, Haase J, et al. Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants. Genome Res. 2009; 19:2308–16. pmid:19826075.
- 42. Arias CA, Murray BE. The rise of the Enterococcus: beyond vancomycin resistance. Nat Rev Microbiol. 2012; 10:266–78. pmid:22421879.
- 43. Kristich CJ, Rice LB, Arias CA. Enterococcal infection—treatment and antibiotic resistance. 2014. pmid:24649502.
- 44. Aarestrup FM, Agerso Y, Gerner-Smidt P, Madsen M, Jensen LB. Comparison of antimicrobial resistance phenotypes and resistance genes in Enterococcus faecalis and Enterococcus faecium from humans in the community, broilers, and pigs in Denmark. Diagn Microbiol Infect Dis. 2000; 37:127–37. pmid:10863107.
- 45. Huys G D’Haene K, Collard JM, Swings J. Prevalence and molecular characterization of tetracycline resistance in Enterococcus isolates from food. Appl Environ Microbiol. 2004; 70:1555–62. pmid:15006778.
- 46. McKessar SJ, Berry AM, Bell JM, Turnidge JD, Paton JC. Genetic characterization of vanG, a novel vancomycin resistance locus of Enterococcus faecalis. Antimicrob Agents Chemother. 2000; 44:3224–8. pmid:11036060.