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Article

Novel Starter Strain Enterococcus faecium DMEA09 from Traditional Korean Fermented Meju

by
Seung-Eun Oh
1,†,
Sojeong Heo
1,†,
Gawon Lee
1,
Hee-Jung Park
2 and
Do-Won Jeong
1,*
1
Department of Food and Nutrition, Dongduk Women’s University, Seoul 02748, Republic of Korea
2
Department of Food and Nutrition, Sangmyung University, Seoul 03016, Republic of Korea
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Foods 2023, 12(16), 3008; https://doi.org/10.3390/foods12163008
Submission received: 3 July 2023 / Revised: 2 August 2023 / Accepted: 7 August 2023 / Published: 9 August 2023
(This article belongs to the Section Food Microbiology)
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Abstract

:
The Enterococcus faecium strain DMEA09 was previously isolated from traditional Korean fermented meju. The objective of the current study was to investigate the traits of E. faecium strain DMEA09 as a starter candidate, focusing on its safety and technological properties. Regarding its safety, the DMEA09 strain was found to be sensitive to nine antibiotics (ampicillin, chloramphenicol, erythromycin, gentamicin, kanamycin, streptomycin, tetracycline, tylosin, and vancomycin) by showing lower minimum inhibitory concentrations (MICs) than the cut-off values suggested by the European Union Food Safety Authority for these nine antibiotics. However, its MIC value for clindamycin was twice as high as the cut-off value. A genomic analysis revealed that strain DMEA09 did not encode the acquired antibiotic resistance genes, including those for clindamycin. The DMEA09 strain did not show hemolysis as a result of analyzing α- and β-hemolysis. It did not form biofilm either. A genomic analysis revealed that strain DMEA09 did not encode for any virulence factors including hemolysin. Most importantly, multilocus sequence typing revealed that the clonal group of strain DMEA09 was distinguished from clinical isolates. Regarding its technological properties, strain DMEA09 could grow in the presence of 6% salt. It showed protease activity when the salt concentration was 3%. It did not exhibit lipase activity. Its genome possessed 37 putative protease genes and salt-tolerance genes for survivability under salt conditions. Consequently, strain DMEA09 shows safe and technological properties as a new starter candidate. This was confirmed by genome analysis.

1. Introduction

The genus Enterococcus is known to play an important role in the intestinal symbiosis of humans and animals [1]. It is used as an indicator of fecal contamination along with E. coli [2]. Recent studies have reported that enterococci are common nosocomial pathogens, causing diseases such as bacteremia, urinary tract infections, endocarditis, surgical site infections, root canal failure, immune evasion, and tissue damage in humans [3,4]. Virulence factors such as enterococcal surface protein, collagen adhesion, pheromone expression, and cytolysin of enterococcal isolates from hospitals have also been reported [5,6,7]. Enterococcus species can easily acquire antibiotic resistance genes, plasmids, and virulence factors when exposed to selective antibiotic pressure via horizontal transfer [8,9]. These results show that enterococci have potential as pathogenic bacteria.
Ironically, enterococci have a longer history of being isolated from fermented foods than being known as pathogenic bacteria. They have been detected in various environments (such as soil, plants, and water) and foods (such as fermented sausage, cheese, picked fruit, vegetables, and fermented soybeans) [10]. Enterococci contribute to the sensory development and ripening of fermented foods such as cheese, sausages, and doenjang [11,12,13]. Therefore, they have been used as starter cultures for fermenting food products [14,15]. Many enterococcal strains are used industrially, such as for bacteriocin production [15,16,17,18]. Some are commercially available as probiotics to improve animal health, including Enterococcus faecium SF68 (Cerbios-Pharma SA, Barbengo, Switzerland) and Enterococcus faecalis Symbioflor 1 (SymbioPharm, Herborn, Germany) [19,20]. In addition, enterococci from fermented food show low antibiotic resistance prevalence [21,22,23], while the clinical isolates of enterococci show high frequencies of antibiotic resistance and multidrug resistance [24,25,26,27]. Genomic analysis has revealed that Enterococcus species have very few intrinsic virulence traits [28,29,30].
Previously, we found that Enterococcus faecium is a dominant species in meju, a Korean traditional dried fermented soybean brick. E. faecium displays protease and lipase activities [31]. E. faecium 0AME20 was selected as a starter candidate through safety assessments (such as antibiotic susceptibility, hemolysis, and biofilm formation) and its functional properties [22]. A safety evaluation experiment found that food-derived Enterococcus not only showed a low frequency of antibiotic resistance, but also showed benign characteristics without causing hemolysis [22]. When the multilocus sequencing typing technique was applied to check the genotype according to the separation source, it was confirmed that Enterococcus including E. faecium derived from food could be distinguished from genotypes with other separation sources such as animals and the environment [22]. Above all, the selected E. faecium 0AME20 as a starter candidate contributed to the production of volatile compounds in in vitro and in situ soybean fermentation [11,12]. These results indicate that food-derived E. faecium are basically non-pathogenic and that they can contribute to the flavor formation of fermented soybeans as starter bacteria for fermenting soybeans. Continuous efforts are needed to select bacteria for fermented foods. In this study, a novel strain, Enterococcus faecium DMEA09, was selected to expand the starter pool. The aim of this study was to determine its safety aspect at the genetic level through genetic analysis. In addition, the existence of a gene associated with horizontal gene transfer was confirmed and the possibility of using it as a starter candidate for fermenting food was highlighted.

2. Materials and Methods

2.1. Bacterial Strains and Culture Conditions

Enterococcus faecium DMEA09 was originally isolated from fermented meju [32]. It was selected as a novel starter candidate and subjected to in vitro experiments and genomic analysis. E. faecium KCCM 12118T was used as a control to compare its phenotypical properties and the genome. E. faecium strains were cultured in tryptic soy agar (TSA; Becton, Dickinson and Co., Sparks, MD, USA) at 37 °C for 18 h to maintain their bacterial traits.

2.2. Safety Assessment

A safety assessment was performed based on antibiotic susceptibility and hemolysis. Antibiotic susceptibility was checked by determining antibiotic minimum inhibitory concentrations (MICs) using the broth microdilution method [33]. Each of ten antibiotics (ampicillin, chloramphenicol, clindamycin, erythromycin, gentamicin, kanamycin, streptomycin, tetracycline, tylosin, and vancomycin) was serially diluted (two-fold) with deionized water to obtain working dilutions. The final concentration of the antibiotic in each well of a 96-microwell plate ranged from 0.5 mg/L to 1024 mg/L. Bacterial strain preparation and inoculation were performed in the same manner as described in a previous paper [22]. The MIC was recorded as the lowest concentration where no growth was observed in wells after incubation at 37 °C for 15 h. The MIC results were confirmed by at least three independently performed tests. Strains with MICs higher than the breakpoint were considered resistant [34].
Hemolysis was confirmed by α- and β-hemolytic activity tests. Briefly, 5% (v/v) rabbit blood (MB Cell, Seoul, Republic of Korea) for α-hemolysis and 5% (v/v) sheep blood (MB Cell) for β-hemolysis were supplemented into TSA. After inoculating the strain on the medium, hemolysis was determined based on the presence or absence of clear zone formation. The α-hemolytic activity was determined by incubating at 37 °C for 24 h and the β-hemolytic activity was determined by cold shock at 4 °C for 24 h after incubation at 37 °C for 24 h [35]. Staphylococcus aureus USA300-p23 and S. aureus RN4220 were used as positive and negative controls for hemolytic analyses, respectively [36]. The experiments were conducted at least three times on separate days.
According to the previous method [22], an overnight culture of S. aureus RN4220, USA300-p23, and DMEA09 in tryptic soy broth (TSB; Becton, Dickinson and Co.) was inoculated at 1% (w/v) into fresh TSB. Culture (200 μL) was added to each well of a 96-well microtiter plate and incubated for 24 h at 37 °C without shaking. After the supernatant was discarded, the plates were dried, and the cells were stained with 0.1% crystal violet.

2.3. Technological Assessment

The salt tolerance of E. faecium strains was determined by examining growth on TSA supplemented with NaCl at a final concentration of 0.5–9% (w/v). Growth on 0.5%, 3%, 6%, and 9% NaCl was observed after 1, 2, 3, and 4 days of incubation. The protease and lipase activities were determined on TSA containing 2% (w/v) skim milk and tributyrin-agar (Sigma-Aldrich, Burlington, MA, USA) containing 1% (v/v) tributyrin, respectively. The effect of NaCl was determined by adding NaCl to the appropriate medium. The enzyme activities were determined by clear halo formation around colonies.

2.4. Genome Sequencing

A total of 136,666 reads (5355.39 × coverage) were generated. These reads were assembled with the HGAP4 algorithm in SMRT Link (version 10.1.0; Pacific Bioscience). Genome annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline (version 4.6) [37]. Open reading frames (ORFs) were predicted using Glimmer 3 [38], followed by annotation through a search against the Clusters of Orthologous Groups (COG) database [38].
The genomic DNA of the E. faecium strain DMEA09 was isolated and purified using a MagAttract HMW DNA Kit (QIAGEN, Hilden, Germany). The concentration and purity of the extracted DNA were determined using a Qubit 2.0 fluorometer (Invitrogen, Carlsbad, CA, USA). Whole-genome sequencing was performed using a PacBio_10K sequencing system (Pacific Bioscience, Menlo Park, CA, USA) by CJ Bioscience, Inc. (Seoul, South Korea). One contig was obtained from a total of 106,168 reads (2897.12 × coverage) generated. The reads were assembled with the HGAP4 algorithm in SMRT Link (version 10.1.0; Pacific Bioscience). Gene annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline (version 4.6) [37]. The gene functions were analyzed by performing a search against the Clusters of Orthologous Groups (COG) database [38] and SEED database (https://rast.nmpdr.org/rast.cgi, accessed on 25 August 2022).

2.5. Comparative Genome Analysis

For genome comparison, the genome of the type strain KCCM 12118T (GenBank Accession No. GCA_015767695.1) was retrieved from the National Center for Biotechnology Information (NCBI) database (http://ncbi.nlm.nih.gov/genomes, accessed on 25 November 2020). The average nucleotide identity (ANI) was used to check the similarity of the core genome [39]. Core-genome and pan-genome analyses were performed using the Efficient Database framework for comparative Genome Analyses with BLASTP score Ratios (EDGAR) [40]. Rapid Annotation using Subsystem Technology (RAST) [41] and Interactive Pathways Explorer v3 (https://pathways.embl.de, accessed on 30 June 2023) were used to determine the gene contents based on functional subsystem classifications and to estimate the amino acid metabolic pathways. Comparative analyses at the protein level were performed with an all-against-all comparison of the annotated genomes.

2.6. Antibacterial Activities against Pathogenic Bacteria

The antibacterial activities of strain DMEA09 against nine foodborne pathogenic bacteria, Bacillus cereus KCCM 11341, Enterococcus faecalis KCTC 2011, Listeria monocytogenes ATCC 13932, Staphylococcus aureus ATCC 12692, Alcaligenes xylosoxidans KCCM 40240, Flavobacterium lutescens KCCM 11374, Escherichia coli O157:H7 EDL 933, Vibrio parahaemolyticus ATCC 12802, and Salmonella enterica KCCM 11862 were determined using the agar well diffusion method. Pathogens as indicator strains from an overnight culture in TSB were inoculated at 1% (v/v) into fresh TSB media and incubated to an OD600 of 1.0. Then 200 μL of each culture was poured onto TSA. A hole with a diameter of 6 mm was punched aseptically with a sterile cork borer and 20 μL of concentrated solution of E. faecium was introduced into the well. The agar plates were then incubated at 37 °C for 18 h. E. faecium concentrate was cultured at 37 °C in TSB broth for 18 h. The supernatant was obtained through centrifugation (1 min). It was then concentrated four times using HyperVAC (HyperVAC-MAX, Hanil Scientific Inc., Gimpo, Republic of Korea). The relative size of the zone of clearing around the punched hole was used as an indicator of antibacterial activity.

2.7. Multilocus Sequence Typing and Phylogenetic Analysis

Multilocus sequence typing (MLST) of the DMEA09 strain was performed according to the previous published Enterococcus MLST scheme using seven housekeeping genes: adk (adenylate kinase), atpA (ATP synthase subunit alpha), ddl (D-alanine—D-alanine ligase), gdh (glucose-6-phosphate dehydrogenase), gyd (glyceraldehyde-3-phosphate dehydrogenase), pstS (Phosphate-binding protein PstS), and purK (N5-carboxyaminoimidazole ribonucleotide synthase) [42]. The internal regions of these seven genes were obtained and combined manually in the order of atpA, ddl, gdh, purK, gyd, pstS, and adk using LaserGene 7.1 software (DNASTAR, Madison, WI, USA). A phylogenetic analysis of combined sequences was performed using the maximum likelihood method in MEGA 11 [43,44]. The bootstrapping values were estimated from 1000 repeated calculations. The reference strain gene sequences were obtained from NCBI.

2.8. Statistical Analysis

Duncan’s multiple range test following a one-way analysis of variance (ANOVA) was used to evaluate significant differences between the average values of MIC. Values with p < 0.05 were considered statistically significant. All statistical analysis was performed using the SPSS software package (version 27.0; SPSS, IBM, Armonk, NY, USA).

2.9. Nucleotide Sequence Accession Number

The complete genome sequence of E. faecium DMEA09 (0SSM4) was deposited in the DDBJ/ENA/GenBank under accession number NZ_CP115812.1.

3. Results and Discussion

3.1. Phenotypic Properties of Enterococcus faecium DMEA09 as a Starter Candidate

A starter candidate should be safe. However, the technological properties that contribute to fermentation and affect the sensorial properties or physical properties of fermented foods are also important. Therefore, safety and functionality for fermentation were evaluated for the isolated strain, DMEA09.

3.1.1. Safety Properties of Enterococcus faecium DMEA09

A virulence factor for E. faecium has not yet been clearly determined. However, for Qualified Presumption of Safety (QPS) registration with the European Union Food Safety Authority (EFSA), or even if it is registered, its antibiotic resistance and toxic activity should be determined [45]. Therefore, acquired antibiotic resistance and hemolysis were analyzed for E. faecium DMEA09. Additionally, its biofilm formation ability was determined.
The type of antibiotic used to evaluate antibiotic susceptibility to microorganisms as starter candidates has not been determined, internationally. However, the EFSA has suggested guidelines for assessing antibiotic susceptibility to microorganisms including E. faecium used in food and feed [34], and antibiotic susceptibility was checked according to those guidelines. We evaluated the antibiotic resistance of E. faecium DMEA09 to 10 antibiotics (ampicillin, chloramphenicol, clindamycin, erythromycin, gentamicin, kanamycin, streptomycin, tetracycline, tylosin, and vancomycin) based on the presented EFSA guidelines. The DMEA09 strain was found to be sensitive to nine of ten antibiotics (except clindamycin) by showing lower MIC values than the cut-off values suggested by the EFSA for the ten antibiotics (Table 1). The MIC value of clindamycin was 8 mg/L, which was twice as high as the breakpoint of 4 mg/L.
Since there are no guidelines for identifying virulence factors for E. faecium yet, hemolysis and biofilm formation, generally assessed for safety, were evaluated (Figure 1) [35,36]. E. faecium DMEA09 did not show hemolysis as a result of analyzing α- and β-hemolysis in the medium including rabbit and sheep blood, contrary to the positive control S. aureus USA300-p23 (Figure 1A,B). In addition, E. faecium DMEA09 showed no ability to form biofilm (Figure 1C). The above results indicate that E. faecium DMEA09 is sensitive to nine of ten antibiotics (except clindamycin), non-hemolytic, and non-biofilm forming.

3.1.2. Technological Properties of Enterococcus faecium DMEA09

Fermentation breaks down macromolecules into micromolecules through enzymatic action. The decomposed ingredients contribute to aroma, taste, and structure [46]. E. faecium as a starter candidate increases sensory properties in yogurt or cheese fermentation [47,48]. Also, in our previous experiments, it was confirmed that E. faecium showing protease activity increases the production of volatile fragrance components in soybean fermentation [11,12]. These results are necessary to specify the protease gene that contributes to the volatile compounds. In any case, E. faecium contributes to the sensory properties, which are affected by enzyme activity, of fermented foods. Fermented foods often have a high salt content. Thus, the presence or absence of resistance to salt is sometimes determined as the fermentation suitability of a species. Therefore, in this study, an experiment was conducted to determine the salt resistance of strain DMEA09 along with its protease, lipase, and amylase activities for decomposing proteins, lipids, and carbohydrates. Strain DMEA09 was grown in the presence of 6% salt. It showed protease activity when the salt concentration was 3% (Figure 2). However, it did not show any lipase activity (Figure S1). In conclusion, strain DMEA09 is phenotypically safe in terms of protease activity. It can grow in the presence of salt up to 6%. Thus, it is suitable as a starter of fermented food with a lot of proteins and a high salt concentration.

3.2. General Genome Properties of Enterococcus faecium Strain DMEA09

To gain insight into the genetic background of starter candidate strain DMEA09, its complete genome sequence was determined. The complete genome of E. faecium DMEA09 is a circular 2,546,756-bp chromosome with a G + C content of 38.53 mol%. Sixty-eight tRNA genes and eighteen rRNA genes were identified in the genome. The ANI of the DMEA09 genomic sequence was 95.1% with E. faecium KCCM 12118T.
Genomic analysis predicted 2433 open reading frames. Of them, 2264 genes were assigned functionally to categories based on the COG database. Excluding the category of “function unknown”, “carbohydrate transport and metabolism” was the most abundant COG category (303 genes, 12.9%), followed by “replication, recombination and repair” (196 genes, 8.3%) and “transcription” (195 genes, 8.3%) (Figure 3A and Table S1). The SEED subsystem categorized 935 genes. “Protein Metabolism” (181 genes, 19.4%) was the most abundant subsystem category, followed by carbohydrates (149 genes, 15.9) (Figure 3B and Table S1).

3.3. Genome-Based Safety Insights of Technological Properties of Strain DMEA09

The EFSA has introduced the QPS approach to check the safety of microorganisms throughout the food chain [49]. However, Enterococcus is one of the bacteria that causes local or hospital infections. Virulent strains in Enterococcus have been reported, including E. faecium. This genus has not been listed on the QPS list [45]. The obvious reason for not being on the QPS list was the lack of clear information about the virulence factor of Enterococcus [48]. The EFSA suggests that enterococci are not safe at the genus level. Because it is difficult to discuss safety at the species and genus levels, it is appropriate to review safety by strain. Based on QPS, E. faecium DMEA09 has a clear taxonomy at the species level. The usage history of E. faecium is also sufficient with the frequency and amount detected in existing probiotics or fermented foods [19,20]. Since toxic factors such as enterococcal surface protein, collagen adherence, pheromone expression, and cytolysin were mentioned as reasons for not registering enterococci in QPS [50], the genome of strain DMEA09 was analyzed. As a result, those virulence factors were not found to be possessed. In addition, toxin and hemolysin genes were not identified from the annotated genes of the DMEA09 genome by searching for keywords.
In addition to these factors, QPS requires information about antibiotic resistance ability. This can be replaced by antibiotic sensitivity to the ten antibiotics suggested by EFSA in the experimental results. The presence of genes was also confirmed. In addition to these genes, QPS also requires the absence of acquired antibiotic resistance ability. Although antibiotic resistance does not directly contribute to virulence, it can indirectly increase virulence via quorum sensing [51]. Furthermore, antibiotic resistance genes can be transferred to other bacteria during fermentation. They can also be transferred to intestinal commensal bacteria as they pass through the intestine [52,53]. Therefore, it is essential to check for the presence of acquired antibiotic resistance genes. According to the antibiotic susceptibility of EFSA guidelines [34], E. faecium DMEA09 was sensitive to 9 out of 10 antibiotics (except clindamycin) tested. In the case of clindamycin, the MIC value (8 mg/L) was twice as high as the break point (4 mg/L) (Table 1). One of the factors that confers resistance to clindamycin occurs through the methylation of ribosomal target sites bound by clindamycin, and the representative gene is the erythromycin ribosome methylase (erm) gene [54]. However, this gene was not identified in DMEA09 genome. We confirmed the presence of the spermidine acetyltransferase (speG) gene in DMEA09 genome because we reported in previous experiments that it showed weak resistance to clindamycin [55], which was also not detected. In the case of affecting antibiotic resistance, specific antibiotic resistance genes may occur through changes in antibiotics or antibiotic binding sites as above, but they also show weak resistance due to environmental factors such as salt concentration [56]. In the case of clindamycin-specific resistance, the MIC value clearly increases, but it is weakly resistant due to environmental factors. The MIC to clindamycin of DMEA09 increased weakly and no resistance gene to clindamycin was detected; thus, it is suggested that it has non-specific resistance. Consequently, these results confirm that the strain DMEA09 is a safe strain not only based on phenotype analysis, but also based on genomic analysis results.
Unlike clinical isolates, E. faecium derived from food including E. faecium DMEA09 non-detecting toxic factor has a low frequency of detection of toxic actors and a low rate of resistance to antibiotics [21,22,23,25,26,27]. Therefore, it is necessary to determine whether E. faecium bacteria are pathogens or starter candidates considering safety concerns. In addition, whether the toxic factors mentioned above are directly related to pathogenicity should be determined. Collagen is a structural protein that is widely distributed in animal cells. Bacteria with collagen adherence abilities are known to have an effect at the beginning stage or persistence stage of bacterial infection [57]. At the same time, collagen adhesion produced by bacteria that are considered healthy, such as lactic acid bacteria, shows a probiotic effect by preventing pathogenic bacteria from settling down [58,59]. As such, the pathogenicity of collagen adherence is different depending on the species in question. Like the collagen adhesion gene, enterococcal surface protein is also interpreted differently depending on the species. The surface protein of pathogenic bacteria is known to increase virulence by contributing to biofilm formation [60]. The surface protein of lactic acid bacteria has been reported to contribute to reduced pathogen intestinal colonization [61]. In conclusion, there are in vitro results for the potential virulence of enterococcal surface protein (esp), collagen adhesion (ace), and pheromone expression (ccf) known as the virulence factor of Enterococcus faecium. However, there are no direct pathogenicity results such as in vivo experiments. Therefore, research on whether the gene is directly involved in pathogenicity is necessary.

3.4. Sequence Type of Strain DMEA09 Using Multilocus Sequence Typing

As a result of phenotype analysis, DMEA09 was found to be an antibiotic-sensitive strain without causing hemolysis or forming biofilm. The results of genomic analysis supported the results of phenotype analysis. Nevertheless, concern about the safety of E. faecium continued to be raised. Accordingly, whether E. faecium derived from food could be distinguished from clinical isolate was determined. Whether genotypes could be distinguished was also determined by applying existing pubMLST.
MLST is a highly discriminative typing method. It is appropriate for genetically coherent organisms to provide a measure of genetic relatedness among strains [62]. MLST has a significant advantage of worldwide comparison using exchangeable data based on DNA sequence results. In addition, MLST has been used to study the long-term epidemiology of bacterial species. It has provided insights into population structure and patterns of evolutionary descent [63]. Our goal was to investigate genetic differences among E. faecalis isolates from fermented food, animals, and the environment using MLST for starter development. MLST is a suitable method for distinguishing between safe E. faecium derived from food and E. faecium isolated from hospitals.
As of April 2023, 3188 genomes of E. faecium were registered in the NCBI database. There are 307 cases of complete genome sequence. Among them, 10 genomes of food-derived strains, including DMEA09 strains, were obtained (Figure 4). For comparison, 10 strains derived from humans and clinical isolates were randomly selected (Figure 4). Using a database of seven housekeeping genes registered in pubMLST, the allele number of each strain was identified and the sequence type was identified by a combination of these numbers. As a result, the DMEA09 strain corresponded to sequence type (ST) 695 (Figure 4). When applying the eBURST algorithm based on ST, it was divided into two clonal complexes and five singletons. Surprisingly, clinical isolates were included in the CC17 group. CC17 is known as a clinical complex consisting of STs related to hospital-associated infection, acquiring antimicrobial resistance [64]. Furthermore, five strains determined to have food origin corresponded to CC94. These strains corresponding to CC94 were strains derived from Korea and China. It was confirmed that they were distinguishable from clinical isolates. These results show that the strain corresponding to CC94 is distinguished from CC17, which mainly consists of clinical isolates, and we assumed that strain corresponding to CC94 should be safe for toxicity factors and antibiotic resistance, unlike clinical isolation strains.
In the case of E. faecium, it is difficult to distinguish whether it is dangerous or safe based on species. For example, although E. coli is known to cause food poisoning, it is mostly harmless. It is one of the healthy intestinal microorganisms, although some are pathogens, causing diarrhea, urinary tract infections, and respiratory diseases. Enterococcus faecium is also mostly harmless. It is known as an intestinal bacterium. The results of this experiment confirm that E. faecium, especially food-derived E. faecium of the DMEA09 strain, is safe through both phenotype and genome analyses. At the same time, the MLST results suggest that the sequence type of strain DMEA09 can be used as one of the methods for identifying safe E. faecium by confirming that it belongs to MLST genotype CC94.

3.5. Genome-Based Technological Properties of Strain DMEA09

The DMEA09 strain showed growth and protease activity in the presence of 6% and 3% (w/v) NaCl, respectively (Figure 2). The DMEA09 genome possesses 30 protease genes assigned an E.C. number and 7 protease genes not assigned an E.C. number (Table 2). To achieve salt tolerance, DMEA09 possesses the osmoprotectant uptake (Opu) systems OpuB, and OpuD as well as biosynthetic genes for the compatible solutes, glycerol, glutamate, cardiolipin, and proline (Figure 5). Thus, we assumed that genes associated with protease and salt tolerance translated into stronger protease activity under NaCl pressure (Figure 2).
A genomic analysis of E. faecium DMEA09 revealed the safety of DMEA09 as well as phenotypic results. Moreover, the strain DMEA09 showed enzymatic and antibacterial activities as well as salt tolerance, which could contribute to the sensory properties of fermented food as a potential starter candidate. Genome analysis can help us explain phenotypic traits. Finally, the CC of E. faecium DMEA09 based on MLST was distinguished from clinical isolates. These results provide the genetic basis for further comparative, functional, and safety genomic analyses to help select potential starter candidates for use in food, animal feed, and medical industries.
Consequently, the safety and technological properties of Enterococcus faecium DMEA09 derived from meju as a starter candidate for food fermentation were determined. In addition, genomic analysis was performed to determine its safety and technological activities. Strain DMEA09 showed sensitivity to nine antibiotics (ampicillin, chloramphenicol, erythromycin, gentamicin, kanamycin, streptomycin, tetracycline, tylosin, and vancomycin) and did not show hemolysis and biofilm. However, the MIC of DMEA09 against clindamycin showed two-fold the breakpoint of the EFSA. However, genome analysis showed the non-possession of the clindamycin resistance gene as well as the acquired antibiotic resistance and toxin genes. These results suggest a safe strain, and the proteolytic activity of the DMEA09 strain is expected to contribute to the production of amino acids by decomposing proteins in fermented foods. It has been known that the enzyme activity of a starter strain improves the sensory properties of fermented foods [65,66,67]. However, studies that specify enzymes that contribute to sensory properties are difficult to find. Strain DMEA09 showed protease activity at a 3% salt concentration. Also, strain 0AME20, isolated in a previous study, showed lipase activity at 2% salt concentration as well as protease activity at 3% salt concentration [22]. These results assume that when the two strains are applied to fermented foods as starter strains, the effect of lipase can be analyzed. As a result, it is significant that DMEA09 strain has been secured as a safe starter candidate for fermented foods.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/foods12163008/s1, Figure S1: Lipase activity of Enterococcus faecium DMEA09 on media supplement NaCl; Table S1: Osmotic stress synthesis and transporter system-related genes in the genome.

Author Contributions

Conceptualization, D.-W.J.; methodology, S.-E.O., S.H. and D.-W.J.; software, G.L.; validation, S.-E.O., S.H. and D.-W.J.; formal analysis, S.-E.O. and S.H.; writing—original draft preparation, S.-E.O., S.H. and D.-W.J.; writing—review and editing, S.-E.O., S.H., H.-J.P. and D.-W.J.; visualization, S.-E.O. and S.H.; supervision, H.-J.P. and D.-W.J.; project administration, D.-W.J.; funding acquisition, D.-W.J. All authors have read and agreed to the published version of the manuscript.

Funding

This work was carried out with the support of the “Cooperative Research Program for Agriculture Science & Technology Development (Project No. PJ01662001)”, the Rural Development Administration, Republic of Korea.

Data Availability Statement

The data used to support the findings of this study can be made available by the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict to interest.

References

  1. Klein, G. Taxonomy, ecology and antibiotic resistance of enterococci from food and the gastro-intestinal tract. Int. J. Food Microbiol. 2003, 88, 123–131. [Google Scholar]
  2. Wheeler, A.L.; Hartel, P.G.; Godfrey, D.G.; Hill, J.L.; Segars, W.I. Potential of Enterococcus faecalis as a human fecal indicator for microbial source tracking. J. Environ. Qual. 2002, 31, 1286–1293. [Google Scholar] [CrossRef] [Green Version]
  3. Fiore, E.; Van Tyne, D.; Gilmore, M.S. Pathogenicity of Enterococci. Microbiol. Spectr. 2019, 7. [Google Scholar] [CrossRef]
  4. Adams, M.R. Safety of industrial lactic acid bacteria. J. Biotechnol. 1999, 68, 171–178. [Google Scholar]
  5. Gilmore, M.S.; Segarra, R.A.; Booth, M.C.; Bogie, C.P.; Hall, L.R.; Clewell, D.B. Genetic structure of the Enterococcus faecalis plasmid pAD1-encoded cytolytic toxin system and its relationship to lantibiotic determinants. J. Bacteriol. 1994, 176, 7335–7344. [Google Scholar]
  6. Kayaoglu, G.; Erten, H.; Orstavik, D. Growth at high pH increases Enterococcus faecalis adhesion to collagen. Int. Endod. J. 2005, 38, 389–396. [Google Scholar]
  7. Di Rosa, R.; Creti, R.; Venditti, M.; D’Amelio, R.; Arciola, C.R.; Montanaro, L.; Baldassarri, L. Relationship between biofilm formation, the enterococcal surface protein (Esp) and gelatinase in clinical isolates of Enterococcus faecalis and Enterococcus faecium. FEMS Microbiol. Lett. 2006, 256, 145–150. [Google Scholar]
  8. Palmer, K.L.; Kos, V.N.; Gilmore, M.S. Horizontal gene transfer and the genomics of enterococcal antibiotic resistance. Curr. Opin. Microbiol. 2010, 13, 632–639. [Google Scholar]
  9. Manson, J.M.; Hancock, L.E.; Gilmore, M.S. Mechanism of chromosomal transfer of Enterococcus faecalis pathogenicity island, capsule, antimicrobial resistance, and other traits. Proc. Natl. Acad. Sci. USA 2010, 107, 12269–12274. [Google Scholar]
  10. Giraffa, G. Functionality of enterococci in dairy products. Int. J. Food Microbiol. 2003, 88, 215–222. [Google Scholar]
  11. Jeong, D.-W.; Jeong, K.; Lee, H.; Kim, C.T.; Heo, S.; Oh, Y.; Heo, G.; Lee, J.-H. Effects of Enterococcus faecium and Staphylococcus succinus starters on the production of volatile compounds during doenjang fermentation. LWT-Food Sci. Technol. 2020, 122, 108996. [Google Scholar] [CrossRef]
  12. Jeong, D.-W.; Heo, S.; Lee, B.; Lee, H.; Jeong, K.; Her, J.Y.; Lee, K.G.; Lee, J.H. Effects of the predominant bacteria from meju and doenjang on the production of volatile compounds during soybean fermentation. Int. J. Food Microbiol. 2017, 262, 8–13. [Google Scholar] [CrossRef]
  13. Santos, M.M.; Piccirillo, C.; Castro, P.M.; Kalogerakis, N.; Pintado, M.E. Bioconversion of oleuropein to hydroxytyrosol by lactic acid bacteria. World J. Microbiol. Biotechol. 2012, 28, 2435–2440. [Google Scholar] [CrossRef]
  14. M‘hir, S.; Minervini, F.; Di Cagno, R.; Chammem, N.; Hamdi, M. Technological, functional and safety aspects of enterococci in fermented vegetable products: A mini-review. Ann. Microbiol. 2012, 62, 469–481. [Google Scholar]
  15. Foulquie Moreno, M.R.; Sarantinopoulos, P.; Tsakalidou, E.; De Vuyst, L. The role and application of enterococci in food and health. Int. J. Food Microbiol. 2006, 106, 1–24. [Google Scholar]
  16. El-Gendy, A.O.; Brede, D.A.; Essam, T.M.; Amin, M.A.; Ahmed, S.H.; Holo, H.; Nes, I.F.; Shamikh, Y.I. Purification and characterization of bacteriocins-like inhibitory substances from food isolated Enterococcus faecalis OS13 with activity against nosocomial enterococci. Sci. Rep. 2021, 11, 3795. [Google Scholar] [CrossRef]
  17. Fugaban, J.I.I.; Vazquez Bucheli, J.E.; Holzapfel, W.H.; Todorov, S.D. Characterization of partially purified bacteriocins produced by Enterococcus faecium strains isolated from soybean paste active against Listeria spp. and vancomycin-resistant enterococci. Microorganisms 2021, 9, 1085. [Google Scholar] [CrossRef]
  18. Franz, C.M.; van Belkum, M.J.; Holzapfel, W.H.; Abriouel, H.; Galvez, A. Diversity of enterococcal bacteriocins and their grouping in a new classification scheme. FEMS Microbiol. Rev. 2007, 31, 293–310. [Google Scholar]
  19. Holzapfel, W.; Arini, A.; Aeschbacher, M.; Coppolecchia, R.; Pot, B. Enterococcus faecium SF68 as a model for efficacy and safety evaluation of pharmaceutical probiotics. Benef. Microbes 2018, 9, 375–388. [Google Scholar]
  20. Tao, Y.; Huang, F.; Zhang, Z.; Tao, X.; Wu, Q.; Qiu, L.; Wei, H. Probiotic Enterococcus faecalis symbioflor 1 ameliorates pathobiont-induced miscarriage through bacterial antagonism and Th1-Th2 modulation in pregnant mice. Appl. Microbiol. Biotechnol. 2020, 104, 5493–5504. [Google Scholar] [CrossRef]
  21. Lee, J.H.; Shin, D.; Lee, B.; Lee, H.; Lee, I.; Jeong, D.W. Genetic diversity and antibiotic resistance of Enterococcus faecalis isolates from traditional Korean fermented soybean foods. J. Microbiol. Biotechnol. 2017, 27, 916–924. [Google Scholar] [CrossRef] [Green Version]
  22. Jeong, M.R.; Jeong, D.-W.; Lee, J.-H. Safety and biotechnological properties of Enterococcus faecalis and Enterococcus faecium isolates from Meju. J. Korean Soc. Appl. Biol. Chem. 2015, 58, 813–820. [Google Scholar] [CrossRef]
  23. Perez-Pulido, R.; Abriouel, H.; Ben Omar, N.; Lucas, R.; Martinez-Canamero, M.; Galvez, A. Safety and potential risks of enterococci isolated from traditional fermented capers. Food Chem. Toxicol. 2006, 44, 2070–2077. [Google Scholar] [CrossRef]
  24. Leski, T.A.; Taitt, C.R.; Bangura, U.; Stockelman, M.G.; Ansumana, R.; Cooper, W.H., 3rd; Stenger, D.A.; Vora, G.J. High prevalence of multidrug resistant Enterobacteriaceae isolated from outpatient urine samples but not the hospital environment in Bo, Sierra Leone. BMC Infect. Dis. 2016, 16, 167. [Google Scholar] [CrossRef] [Green Version]
  25. Abera, A.; Tilahun, M.; Tekele, S.G.; Belete, M.A. Prevalence, Antimicrobial susceptibility patterns, and risk factors associated with Enterococci among pediatric patients at dessie referral hospital, Northeastern Ethiopia. BioMed Res. Int. 2021, 2021, 5549847. [Google Scholar] [CrossRef]
  26. Bhatt, P.; Patel, A.; Sahni, A.K.; Praharaj, A.K.; Grover, N.; Chaudhari, C.N.; Das, N.K.; Kulkarni, M. Emergence of multidrug resistant enterococci at a tertiary care centre. Med. J. Armed. Forces India 2015, 71, 139–144. [Google Scholar] [CrossRef] [Green Version]
  27. Hidron, A.I.; Edwards, J.R.; Patel, J.; Horan, T.C.; Sievert, D.M.; Pollock, D.A.; Fridkin, S.K.; National Healthcare Safety Network Team; Participating National Healthcare Safety Network Facilities. NHSN annual update: Antimicrobial-resistant pathogens associated with healthcare-associated infections: Annual summary of data reported to the national healthcare safety network at the centers for disease control and prevention, 2006–2007. Infect. Control Hosp. Epidemiol. 2008, 11, 996–1011. [Google Scholar] [CrossRef] [Green Version]
  28. Heo, S.; Lee, J.-H.; Jeong, D.-W. Complete genome sequence of Enterococcus faecalis strain DM01, a potential starter culture candidate for soybean fermentation. Korea J. Microbiol. 2019, 55, 293–295. [Google Scholar]
  29. Heo, S.; Lee, J.-S.; Lee, J.-H.; Jeong, D.-W. Complete genome sequence of Enterococcus faecium strain DMEA02, a potential starter culture candidate for fermented soybean foods. Korea J. Microbiol. 2020, 56, 59–61. [Google Scholar]
  30. Beukers, A.G.; Zaheer, R.; Goji, N.; Amoako, K.K.; Chaves, A.V.; Ward, M.P.; McAllister, T.A. Comparative genomics of Enterococcus spp. isolated from bovine feces. BMC Microbiol. 2017, 17, 52. [Google Scholar] [CrossRef] [Green Version]
  31. Jeong, D.-W.; Kim, H.R.; Jung, G.; Han, S.; Kim, C.T.; Lee, J.-H. Bacterial community migration in the ripening of doenjang, a traditional Korean fermented soybean food. J. Microbiol. Biotechnol. 2014, 24, 648–660. [Google Scholar] [CrossRef] [Green Version]
  32. Lee, J.-M.; Heo, S.; Kim, Y.-S.; Lee, J.-H.; Jeong, D.-W. Culture-dependent and -independent investigations of bacterial migration into doenjang from its components meju and solar salt. PLoS ONE 2020, 15, e0239971. [Google Scholar] [CrossRef]
  33. Clinical and Laboratory Standards Institute (CLSI). Performance Standards for Antimicrobial Susceptibility Testing, 30th ed.; CLSI supplement M100; CLSI: Wayne, PA, USA, 2020. [Google Scholar]
  34. European Food Safety Authority (EFSA). Guidance on the assessment of bacterial susceptibility to antimicrobials of human and veterinary importance. EFSA J. 2012, 10, 2740–2749. [Google Scholar]
  35. Dinges, M.M.; Orwin, P.M.; Schlievert, P.M. Exotoxins of Staphylococcus aureus. Clin. Microbiol. Rev. 2000, 13, 16–34. [Google Scholar] [CrossRef]
  36. Jeong, D.-W.; Cho, H.; Lee, H.; Li, C.; Garza, J.; Fried, M.; Bae, T. Identification of the P3 promoter and distinct roles of the two promoters of the SaeRS two-component system in Staphylococcus aureus. J. Bacteriol. 2011, 193, 4672–4684. [Google Scholar] [CrossRef] [Green Version]
  37. Tatusova, T.; DiCuccio, M.; Badretdin, A.; Chetvernin, V.; Nawrocki, E.P.; Zaslavsky, L.; Lomsadze, A.; Pruitt, K.D.; Borodovsky, M.; Ostell, J. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res. 2016, 44, 6614–6624. [Google Scholar] [CrossRef]
  38. Tatusov, R.L.; Koonin, E.V.; Lipman, D.J. A genomic perspective on protein families. Science 1997, 278, 631–637. [Google Scholar] [CrossRef] [Green Version]
  39. Yoon, S.; Parsons, F.; Sundquist, K.; Julian, J.; Schwartz, J.E.; Burg, M.M.; Davidson, K.W.; Diaz, K.M. Comparison of different algorithms for sentiment analysis: Psychological stress notes. Stud. Health Technol. Inform. 2017, 245, 1292. [Google Scholar]
  40. Blom, J.; Kreis, J.; Spanig, S.; Juhre, T.; Bertelli, C.; Ernst, C.; Goesmann, A. EDGAR 2.0: An enhanced software platform for comparative gene content analyses. Nucleic Acids Res. 2016, 44, W22–W28. [Google Scholar] [CrossRef] [Green Version]
  41. Aziz, R.K.; Bartels, D.; Best, A.A.; DeJongh, M.; Disz, T.; Edwards, R.A.; Formsma, K.; Gerdes, S.; Glass, E.M.; Kubal, M.; et al. The RAST server: Rapid annotations using subsystems technology. BMC Genom. 2008, 9, 75. [Google Scholar] [CrossRef] [Green Version]
  42. Jeong, D.-W.; Lee, B.; Lee, H.; Jeong, K.; Jang, M.; Lee, J.-H. Urease characteristics and phylogenetic status of Bacillus paralicheniformis. J. Microbiol. Biotechnol. 2018, 28, 1992–1998. [Google Scholar] [CrossRef] [Green Version]
  43. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular evolutionary genetics analysis version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef]
  44. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [Green Version]
  45. European Food Safety Authority (EFSA). Introduction of qualified presumption of safety (QPS) approach for assessment of selected microorganisms referred to EFSA. EFSA J. 2007, 5, 587. [Google Scholar] [CrossRef]
  46. Nkhata, S.G.; Ayua, E.; Kamau, E.H.; Shingiro, J.B. Fermentation and germination improve nutritional value of cereals and legumes through activation of endogenous enzymes. Food Sci. Nutr. 2018, 6, 2446–2458. [Google Scholar] [CrossRef] [Green Version]
  47. Akpinar, A.; Saygili, D.; Yerlikaya, O. Production of set-type yoghurt using Enterococcus faecium and Enterococcus durans strains with probiotic potential as starter adjuncts. Int. J. Dairy Technol. 2020, 73, 726–736. [Google Scholar] [CrossRef]
  48. Abeijon, M.C.; Medina, R.B.; Katz, M.B.; Gonzalez, S.N. Technological properties of Enterococcus faecium isolated from ewe’s milk and cheese with importance for flavour development. Can. J. Microbiol. 2006, 52, 237–245. [Google Scholar] [CrossRef]
  49. European Food Safety Authority (EFSA). Opinion of the scientific committee on a request from EFSA related to a generic approach to the safety assessment by EFSA of microorganisms used in food/feed and the production of food/feed additibes. EFSA J. 2005, 3, 226. [Google Scholar] [CrossRef]
  50. European Food Safety Authority (EFSA). The maintenance of the list of QPS microorganisms intentionally added to food or feed. EFSA J. 2008, 923, 1–48. [Google Scholar]
  51. Schroeder, M.; Brooks, B.D.; Brooks, A.E. The complex relationship between virulence and antibiotic resistance. Genes 2017, 8, 39. [Google Scholar] [CrossRef] [Green Version]
  52. Heo, S.; Bae, T.; Lee, J.-H.; Jeong, D.-W. Transfer of a lincomycin-resistant plasmid between coagulase-negative staphylococci during soybean fermentation and mouse intestine passage. FEMS Microbiol. Lett. 2019, 366, fnz113. [Google Scholar] [CrossRef]
  53. Huddleston, J.R. Horizontal gene transfer in the human gastrointestinal tract: Potential spread of antibiotic resistance genes. Infect. Drug Resist. 2014, 7, 167–176. [Google Scholar] [CrossRef] [Green Version]
  54. Leclercq, R. Mechanisms of resistance to macrolides and lincosamides: Nature of the resistance elements and their clinical implications. Clin. Infect. Dis. 2002, 34, 482–492. [Google Scholar] [CrossRef] [Green Version]
  55. Jeong, D.-W.; Lee, B.; Heo, S.; Oh, Y.; Heo, G.; Lee, J.-H. Two genes involved in clindamycin resistance of Bacillus licheniformis and Bacillus paralicheniformis identified by comparative genome analysis. PLoS ONE 2020, 15, e0231274. [Google Scholar] [CrossRef] [Green Version]
  56. Cruz-Loya, M.; Kang, T.M.; Lozano, N.A.; Watanabe, R.; Tekin, E.; Damoiseaux, R.; Savage, V.M.; Yeh, P.J. Stressor interaction networks suggest antibiotic resistance co-opted from stress responses to temperature. ISME J. 2019, 13, 12–23. [Google Scholar] [CrossRef]
  57. Madani, A.; Garakani, K.; Mofrad, M.R.K. Molecular mechanics of Staphylococcus aureus adhesin, CNA, and the inhibition of bacterial adhesion by stretching collagen. PLoS ONE 2017, 12, e0179601. [Google Scholar] [CrossRef] [Green Version]
  58. Yadav, A.K.; Tyagi, A.; Kaushik, J.K.; Saklani, A.C.; Grover, S.; Batish, V.K. Role of surface layer collagen binding protein from indigenous Lactobacillus plantarum 91 in adhesion and its anti-adhesion potential against gut pathogen. Microbiol. Res. 2013, 168, 639–645. [Google Scholar] [CrossRef]
  59. Muscariello, L.; De Siena, B.; Marasco, R. Lactobacillus cell surface proteins involved in interaction with mucus and extracellular matrix components. Curr. Microbiol. 2020, 77, 3831–3841. [Google Scholar] [CrossRef]
  60. Toledo-Arana, A.; Valle, J.; Solano, C.; Arrizubieta, M.J.; Cucarella, C.; Lamata, M.; Amorena, B.; Leiva, J.; Penades, J.R.; Lasa, I. The enterococcal surface protein, Esp, is involved in Enterococcus faecalis biofilm formation. Appl. Environ. Microbiol. 2001, 67, 4538–4545. [Google Scholar] [CrossRef] [Green Version]
  61. Mercier-Bonin, M.; Chapot-Chartier, M.P. Surface proteins of Lactococcus lactis: Bacterial resources for muco-adhesion in the gastrointestinal tract. Front. Microbiol. 2017, 8, 2247. [Google Scholar] [CrossRef]
  62. Maiden, M.C. Multilocus sequence typing of bacteria. Annu. Rev. Microbiol. 2006, 60, 561–588. [Google Scholar] [CrossRef]
  63. Urwin, R.; Maiden, M.C. Multi-locus sequence typing: A tool for global epidemiology. Trends Microbiol. 2003, 11, 479–487. [Google Scholar] [CrossRef]
  64. Lee, T.; Pang, S.; Abraham, S.; Coombs, G.W. Antimicrobial-resistant CC17 Enterococcus faecium: The past, the present and the future. J. Glob. Antimicrob. Resist. 2019, 16, 36–47. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Amani, E.; Eskandari, M.H.; Shekarforoush, S. The effect of proteolytic activity of starter cultures on technologically important protperties of yogurt. Food Sci. Nutr. 2017, 5, 525–537. [Google Scholar] [CrossRef]
  66. Konkit, M.; Kim, W. Activities of amylase, proteinase, and lipase enzymes from Lactococcus chunangensis and its application in dairy products. J. Dairy Sci. 2016, 99, 4999–5007. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Shiling, L.; Xianna, H.; Yanbin, Y.; Baokun, L.; Chengjian, X.; Qingling, W. Proteolytic effect of starter culture during ripening of smoked horse sausage. Food Sci. Biotechnol. 2017, 26, 1363–1369. [Google Scholar] [CrossRef] [PubMed]
Foods 12 03008 g001
Figure 1. α-Hemolytic activity (A), β-hemolytic activity (B), and biofilm formation (C) of Enterococcus faecium DMEA09. Staphylococcus aureus strains USA300-p23 and RN4220 were used as positive and negative controls, respectively.
Figure 1. α-Hemolytic activity (A), β-hemolytic activity (B), and biofilm formation (C) of Enterococcus faecium DMEA09. Staphylococcus aureus strains USA300-p23 and RN4220 were used as positive and negative controls, respectively.
Foods 12 03008 g001
Foods 12 03008 g002
Figure 2. Growth (A) and proteolytic activity (B) of Enterococcus faecium DMEA09 on media supplemented with 0.5%, 3%, 6%, and 9% NaCl.
Figure 2. Growth (A) and proteolytic activity (B) of Enterococcus faecium DMEA09 on media supplemented with 0.5%, 3%, 6%, and 9% NaCl.
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Foods 12 03008 g003
Figure 3. Functional classification through Clusters of Orthologous Groups database (A) and SEED subsystem (B) of Enterococcus faecium DMEA09. Only those with a relative ratio of 1% or more are displayed in the circle.
Figure 3. Functional classification through Clusters of Orthologous Groups database (A) and SEED subsystem (B) of Enterococcus faecium DMEA09. Only those with a relative ratio of 1% or more are displayed in the circle.
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Foods 12 03008 g004
Figure 4. Phylogenetic tree of ANI (A), 16S rDNA (B), and MLST and housekeeping gene allele (C) using the maximum likelihood method in MEGA 11 and OrthoANI Tool ver. 0.93.1. Blue, orange, and green circles indicate that isolates are from type, clinical, and food strains, respectively.
Figure 4. Phylogenetic tree of ANI (A), 16S rDNA (B), and MLST and housekeeping gene allele (C) using the maximum likelihood method in MEGA 11 and OrthoANI Tool ver. 0.93.1. Blue, orange, and green circles indicate that isolates are from type, clinical, and food strains, respectively.
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Foods 12 03008 g005
Figure 5. Predicted membrane transport systems and synthesis pathways for osmoprotectants in the E. faecium DMEA09 genome. Osmoprotectants are depicted in orange. Black arrows correspond to potential enzymatic reactions catalyzed by gene products encoded by the three genomes.
Figure 5. Predicted membrane transport systems and synthesis pathways for osmoprotectants in the E. faecium DMEA09 genome. Osmoprotectants are depicted in orange. Black arrows correspond to potential enzymatic reactions catalyzed by gene products encoded by the three genomes.
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Table 1. Minimal inhibitory concentrations (mg/L) against ten antibiotics of E. faecium DMEA09.
Table 1. Minimal inhibitory concentrations (mg/L) against ten antibiotics of E. faecium DMEA09.
DMEA09Breakpoint *
Ampicillin22
Chloramphenicol816
Clindamycin84
Erythromycin44
Gentamicin432
Kanamycin81024
Streptomycin64128
Tetracycline14
Tylosin14
Vancomycin14
*: EFSA breakpoint for Enterococcus faecium [34]. Statistical relevance was analyzed using Duncan’s multiple range test.
Table 2. Annotated protease genes identified in the DMEA09 genome.
Table 2. Annotated protease genes identified in the DMEA09 genome.
Gene LocusProductE.C. No.COG
PAN98_RS01200Glutamyl aminopeptidase3.4.11.7S
PAN98_RS01220Trypsin-like peptidase-domain-containing protein3.4.21.107M
PAN98_RS02400SOS-response-associated peptidase family protein OU
PAN98_RS02525Peptidase M133.4.24.-O
PAN98_RS02955M20 family metallopeptidase S
PAN98_RS03050Pyroglutamyl-peptidase I3.4.19.3E
PAN98_RS03895Xaa-Pro peptidase family protein3.4.13.9MU
PAN98_RS04325C69 family dipeptidase3.4.-.-E
PAN98_RS05090Rhomboid family intramembrane serine protease3.4.21.105NU
PAN98_RS05235RIP metalloprotease RseP3.4.24.-M
PAN98_RS05520Signal peptide peptidase SppA3.4.21.-O
PAN98_RS05540ATP-dependent Clp protease ATP-binding subunit ClpX O
PAN98_RS05875Peptidase T3.4.11.4U
PAN98_RS06780Signal peptidase II3.4.23.36O
PAN98_RS06880Carboxypeptidase M323.4.17.19J
PAN98_RS07560M15 family metallopeptidase3.4.17.14E
PAN98_RS07790ATP-dependent protease ATPase subunit HslU E
PAN98_RS07795HslU--HslV peptidase proteolytic subunit3.4.25.2U
PAN98_RS07840Signal peptidase I3.4.21.89E
PAN98_RS08710ATP-dependent Clp protease ATP-binding subunit O
PAN98_RS08980Type I methionyl aminopeptidase3.4.11.18E
PAN98_RS08995Aminopeptidase3.4.11.-U
PAN98_RS09225Xaa-Pro peptidase family protein3.4.13.9S
PAN98_RS09305Signal peptidase I3.4.21.89S
PAN98_RS09330M42 family metallopeptidase3.4.11.-V
PAN98_RS09600ATP-dependent Clp endopeptidase proteolytic subunit ClpP3.4.21.92S
PAN98_RS09710C1 family peptidase3.4.22.40E
PAN98_RS09850Zinc metallopeptidase3.4.21.89NU|M
PAN98_RS09900Beta-aspartyl-peptidase3.4.19.-O
PAN98_RS10490Type II CAAX endopeptidase family protein E
PAN98_RS10830Oligoendopeptidase F3.4.24.-M|S
PAN98_RS11525ATP-dependent zinc metalloprotease FtsH3.4.24.-O
PAN98_RS11590M3 family oligoendopeptidase3.4.24.-O
PAN98_RS12075A24 family peptidase3.4.23.43, 2.1.1.-NOU
PAN98_RS12200U32 family peptidase3.4.-.-O
PAN98_RS12205Peptidase U32 family protein3.4.-.-O
PAN98_RS12210ATP-dependent Clp protease ATP-binding subunit O
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Oh, S.-E.; Heo, S.; Lee, G.; Park, H.-J.; Jeong, D.-W. Novel Starter Strain Enterococcus faecium DMEA09 from Traditional Korean Fermented Meju. Foods 2023, 12, 3008. https://doi.org/10.3390/foods12163008

AMA Style

Oh S-E, Heo S, Lee G, Park H-J, Jeong D-W. Novel Starter Strain Enterococcus faecium DMEA09 from Traditional Korean Fermented Meju. Foods. 2023; 12(16):3008. https://doi.org/10.3390/foods12163008

Chicago/Turabian Style

Oh, Seung-Eun, Sojeong Heo, Gawon Lee, Hee-Jung Park, and Do-Won Jeong. 2023. "Novel Starter Strain Enterococcus faecium DMEA09 from Traditional Korean Fermented Meju" Foods 12, no. 16: 3008. https://doi.org/10.3390/foods12163008

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