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Genomic comparative analysis of the environmental Enterococcus mundtii against enterococcal representative species

BMC Genomics volume 15, Article number: 489 (2014) Cite this article

Abstract

Background

Enterococcus mundtii is a yellow-pigmented microorganism rarely found in human infections. The draft genome sequence of E. mundtii was recently announced. Its genome encodes at least 2,589 genes and 57 RNAs, and 4 putative genomic islands have been detected. The objective of this study was to compare the genetic content of E. mundtii with respect to other enterococcal species and, more specifically, to identify genes coding for putative virulence traits present in enterococcal opportunistic pathogens.

Results

An in-depth mining of the annotated genome was performed in order to uncover the unique properties of this microorganism, which allowed us to detect a gene encoding the antimicrobial peptide mundticin among other relevant features. Moreover, in this study a comparative genomic analysis against commensal and pathogenic enterococcal species, for which genomic sequences have been released, was conducted for the first time. Furthermore, our study reveals significant similarities in gene content between this environmental isolate and the selected enterococci strains (sharing an “enterococcal gene core” of 805 CDS), which contributes to understand the persistence of this genus in different niches and also improves our knowledge about the genetics of this diverse group of microorganisms that includes environmental, commensal and opportunistic pathogens.

Conclusion

Although E. mundtii CRL1656 is phylogenetically closer to E. faecium, frequently responsible of nosocomial infections, this strain does not encode the most relevant relevant virulence factors found in the enterococcal clinical isolates and bioinformatic predictions indicate that it possesses the lowest number of putative pathogenic genes among the most representative enterococcal species. Accordingly, infection assays using the Galleria mellonella model confirmed its low virulence.

Background

The genus Enterococcus is a diverse group of low GC% gram-positive bacteria that contains over 33 species. The genera include commensal species of the gastrointestinal tracts of humans and animals, and also environmental strains that can be isolated from soil, surface waters and plant material [1, 2]. Enterococci are nutritionally fastidious microorganisms, which are associated with a large variety of human activities. In this sense, several strains have technological relevance since they are present in dairy, meat and other fermented foods, and some of them show probiotic effects [1, 2]. Nevertheless, they are not “generally recognized as safe” (GRAS) microorganisms for human consumption [U.S. Food Drug Administration (FDA) or European Food Safety Authority (EFSA)], even though they are phylogenetically related to the group of lactic acid bacteria (LAB). Particularly during the last decade, Enterococcus faecalis and Enterococcus faecium strains emerged as opportunistic human pathogens frequently associated with nosocomial infections with a high capacity to disseminate antibiotic resistance [3]. As a consequence, information on genetics and physiology of these species has increased dramatically in recent years; however, little data is available regarding other enterococci.

Enterococcus mundtii was described as a non-motile, yellow-pigmented enterococcus typically isolated from plant material, soil, cow teats and milker’s hands [4, 5] and infrequently associated to human infection [6]. As the rest of enterococci, they are facultative anaerobes and display a homolactic glucose metabolism. DNA GC content ranges from 38 to 39%, as determined by the melting temperature method [4]. We have recently announced the draft genome sequence of E. mundtii strain CRL1656 [7]. This strain was isolated from stripping milk of an Argentinean cow and, given its bacteriocinogenic capacity, it has been proposed as a probiotic microorganism to prevent mastitis in these mammals [8].

During the last decade, the availability of bioinformatics approaches for comparison of multiple bacterial genomes allowed the analysis of a huge amount of sequence data. In this sense, the aim of the present study was to gain insight into the similarities between the genetic content of E. mundtii and other enterococcal species and, more specifically, to investigate genes coding for virulence factors shared with E. faecalis and E faecium species, frequently behaving as opportunistic pathogens.

Methods

General inspection of the E. mundtiigenome

Gene products putatively encoded by E. mundtii CRL1656 were identified using RAST [9] (GenBank accesion number: AFWZ00000000.1). In order to improve this sequence, a BLASTN approach (all versus all) was performed and those contigs shorter than 1,000 bp and with an homology higher than 99% with sequences already contained in a longer contig were deleted. In this manner, 87 contigs were removed from the database (approximately 200 Kb in total), resulting in a genome of 2.87 Mb (GC content 38.4%). The remaining contigs were ordered and oriented with Advanced Pipmaker using E. faecalis V583 genome as a reference [10]. Finally, contigs were concatenated, using a Perl script designed ad hoc, by including the sequence NNNNNCACACACTTAATTAATTAAGTGTGTGNNNNN, which harbors stop codons in all six reading frames [11].

After annotation of each of the draft genomic sequences in RAST (Table 1), as explained for E. mundtii, comparative genome analysis against other enterococcal species was performed. E. mundtii unique genes were determined by using RAST Compare Metabolic Reconstruction Tool [9].

Table 1 Enterococcal species analyzed in this study and relevant features of their genomic sequences
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ANI versus shared genes with similar function plot

ANI values were calculated based on pairwise alignment of genome stretches using the JSpecies software with BLAST algorithm [17]. Calculation of ANI values is implemented as described by Goris J, et al. [18]. Shared genes with similar function among each enterococcal species described in Table 1 and E. mundtii were assessed using the Compare Metabolic Reconstruction tool from RAST server. Genes which were associated within a RAST subsystem for both microorganisms were considered as shared between them [9].

Study of genomic islands

The analysis considered to detect putative Genome Islands (GEIs) was as follows. First, the regions detected by Alien-Hunter [19] were selected and secondly, positives results obtained either by Colombo/SIGI-HMM [20] or IslandPath-DIMOB [21] were taken as requirement for the next step. Regions identified using this approach were manually inspected using Artemis and DNAplotter [22] in order to find out further evidences related to GEIs, in general, and Pathogenic Island (PAIs), in particular [23]. A deviation in the G + C content frequency (calculated by DNAPlotter) plus the presence of insertion sequences and tRNA flanking regions jointly with transposases coding genes, which are important for DNA incorporation processes, were accepted as further evidence of the presence of a GEI. Lastly, specific features of each gene located within the putative PAI were determined. Particularly, genes involved in virulence, antibiotic resistance, and pathogenic mechanisms were traced, using the BLASTP tool in the Virulence Factors Data Base server [24]. Others functions of the features found in these regions were extracted from RAST annotations.

Phylogenetic tree construction

This analysis involved sequences from nine enterococci species (Table 1) and the outgroup Lactococcus lactis SK11. Orthologous proteins were assigned using the OrthoMCL software [25]. In case that a particular enterococcal species contained more than one protein from the same group of orthologs, only the protein with the lower e-value was considered for the alignment. Concatenated orthologous protein sequences were aligned using ClustalX [26], and poorly aligned positions as well as excessively divergent regions were trimmed using GBlock 0.91b [27] resulting in a final alignment containing a total of 206,745 residues. Finally, the evolutionary history was inferred by using the Randomized Axelerated Maximum Likelihood algorithm (RAxML, [28]). DCMUT with empirical base frequencies and GAMMA distribution were used as substitution model. Reliability of the inferred tree was tested by bootstrapping with 1000 replicates.

Analysis of regulators

The presence of orthologs for putative regulator proteins of E. mundtii CRL1656 in E. faecalis V583 and E. faecium DO genomes were determined as described in Additional file 1: Figure S1. Briefly, all protein sequences assigned as regulator proteins by RAST were used as query in a BLASTP search over E. faecalis V583 and E. faecium DO genome sequences. Cut-Off and Cut-In values were established as described in Additional file 1: Figure S1C. Then, E. faecalis V583 and E. faecium DO proteins sharing an identity percentage with E. mundtii CRL1656 proteins higher than the Cut-In value were considered as present in the E. mundtii genome while those with lower identity percentages were considered absent. Proteins with shared identity between Cut-In and Cut-Off values were further individually analyzed according to their gene context (Additional file 1: Figure S1D). For those E. mundtii CRL1656 proteins showing no homologs in E. faecium or E. faecalis a BLASTP was performed against a non-redundant database (RefSeq and Genbank) with a bit-score cut-off of 60.

Semiqualitative comparison of potential virulence factors

For the enterococcal species described in Table 1, BLASTP analysis of their respective proteomes was made against the Virulence Factors Data Base [24]. The expectation value used as cut-off was 10−10. Only the first hit was recovered for each protein query.

Galleria mellonellakilling assay

Infection of Galleria mellonella larvae with E. faecalis was accomplished as previously described by Lebreton et al. [29]. Briefly, using a syringe pump (microliter #750, Hamilton), larvae (about 0.2 g and 3 cm in length) were infected subcutaneously with washed E. faecalis JH2-2 or E. mundtii CRL 1656 cells from an exponential culture in LBG administered in 5 μl of sterile saline buffer. Control groups of larvae received 5 μl of a saline solution only. In each test, 15 larvae were infected and the experiments were repeated at least three times. Larval killing was monitored up to 89 hours post-infection. Survival curves were constructed by the Kaplan-Meier method and compared by Log-rank analysis (R statistical software). P values of <0.05 were considered statistically significant [29].

Results

General features of the E. mundtiigenome and phylogenetic analysis

The genome sequence of E. mundtii strain CRL1656 was automatically annotated by using the RAST server [9]. A total of 2,589 coding sequences (CDS) and 57 structural RNAs (52 tRNAs) were predicted by this method. Putative biological roles have been assigned for 1,724 (67%) of the ORFs, whereas the remaining 865 (33%) encode hypothetical proteins for which no probable function could be predicted. The general features of the genome are summarized in Figure 1 and Table 1.

Figure 1
figure 1

Circular representation of the E. mundtii genome. Starting from the outer circle: Rings 1 and 2 (ligth-blue) indicate positions of protein-coding genes on positive and negative strands, respectively. Ring 3 (red) shows presumably foreign DNA as predicted by Alien Hunter. Ring 4 (grey) shows alien genes predicted by Columbo Sigi. Ring 5 (green) corresponds to IslandPath-DIMOB predictions. Ring 6 (black) shows positions of tRNA genes. Ring 7 (blue), putative tranposases. Ring 8 (ochre), integrases. Ring 9 represents the G + C percentage, colored yellow for regions above median GC score (38%) and violet for regions less than or equal to the median. Circular sectors I-IV highlight the position of putative genomic islands. A list of genes with putative functions in each GEI is presented.

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E. mundtii CRL1656 phylogeny was analyzed with a tree generated from the concatenated sequences of 805 core proteins from nine enterococci and the outgroup L. lactis SK11 (Figure 2A). In this analysis we included representative enterococcal species of diverse origins, whose genomic sequences have been released (Table 1). We observed that E. mundtii is more related to E. faecium, which is frequently associated with nosocomial infections.

Figure 2
figure 2

Phylogenetic analysis of E. mundtii CRL1656. (A) Core gene tree. ClustalX aligned sequences of core concatenated proteins were used for the phylogeny reconstruction analysis of enterococci species using the Randomized Axelerated Maximum Likelihood (RAxML) algorithm based on DCMUT with empirical base frequencies and GAMMA distribution model. The reliability of the inferred tree was tested by bootstrapping with 1000 replicates. The tree with the highest log likelihood (−2038246) is shown. Lactococcus lactis SK11 was included as outgroup species. (B) ANI plot. Shared genes with similar function and ANI values between E. mundtii and the bacterial genomes of the indicated strains are plot. E. mundtii CRL1656 (E. mundtii), L. lactis subsp. cremoris SK11 (L. lactis), E. italicus DSM15952 (E. italicus), E. casseliflavus ATCC12755 (E. casseliflavus), E. faecalis 62 (E. fae 62), E. faecalis V583 (E. fae V583), E. saccharolyticus ATCC 43076 (E. saccharolyticus), E. gallinarum EG2 (E. gallinarum), E. faecium Com15 (E. fm Com15), and E. faecium DO (E. fm DO). The data set supporting the results of this article is available in the TreeBASE repository, [http://purl.org/phylo/treebase/phylows/study/TB2:S15854].

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To further analyze the relationships among these enterococcal species, we constructed a plot of the shared genes with similar function between E. mundtii and the species under comparison versus average nucleotide identity (ANI) values (Figure 2B). ANI values are frequently used to verify prokaryotic species definitions [18, 30]. As expected, these values were lower than the 94% accepted as a threshold for species designation [18, 30]. E. faecium strains showed the highest ANI values (around 76%), with a content of shared genes with similar function between 44 and 46%. With respect to other enterococcal species, ANI varies within a narrow range (approximately 71%) and E. mundtii shared more genes with similar function with strains of non-clinical origin as E. casseliflavus ATCC12755 and E. saccharolyticus ATCC 43076 than the rest of the analyzed strains.

We were also interested in performing a bioinformatic quantification of genes horizontally transferred to the E. mundtii genome. According to the Alien-Hunter software, 39% of the genome was acquired by horizontal transfer. A list of genes coding for integrases, transposases and phage-related proteins found by the RAST annotation is given in Additional file 2: Table S1. In this regard, four gene clusters that fit the criteria as GEIs (refer to Methods for details) were detected and are pointed out in Figure 1. GEI I contains a putative cell wall surface anchor protein, that could be involved in adhesion and invasion mechanisms. Interestingly, a gene for the bacteriocin mundticin was detected in the GEI III cluster, which is genetically linked to its immunity protein and transporter.

Regarding genetically distinctive features of E. mundtii, a comparative analysis performed between strain CRL1656 and the other enterococcal species included in this study (Table 1) revealed a set of 22 unique proteins with putative functions for this microorganism (Table 2). Among this group of proteins, besides the mundticin previously mentioned, two proteins that could be responsible for capsule biosynthesis (see Virulence factors and antibiotic resistance section) and a toxin-antitoxin MazE-MazF system were detected.

Table 2 Unique genes among enterococcal species found in the E. mundtii genome
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Identification of a gene encoding a putative bacteriocin

A cluster of three genes involved in bacteriocin synthesis and transport, which is unique to this microorganism, was found. These genes were designated munA, munB, and munC. The structural gene munA encodes a 58-aminoacid mundticin precursor. The mature peptide is a class IIa mundticin with an estimated molecular weight of 4,289 Da and pI of 9.45. The BLASTP protein database homology search on the 43-amino acid deduced mature peptide, mundticin 1656, revealed that its sequence is identical to that of the plasmid encoded-mundticin KS from E. mundtii NFRI7393 [31] and a 95% identical to that of E. mundtii ATO6 [32]. The pre-peptide contains a leader peptide of 15 amino acids with a consensus GGXaa processing site. The mature peptide contains the YGNGV motif at positions 3–7, characteristic of class IIa bacteriocins. Moreover, it contains the two cysteine residues (C-9 and C-14) forming the disulfide bridge, which are well conserved in all class IIa bacteriocins [33].

The munB gene encodes a 674-amino acid polypeptide, which exhibits 98% of similarity with the 674-amino acid ABC transporter MunB found in E. mundtii NFRI7393, involved in the maturation and excretion of enterocin KS [31]. The munC gene encodes a mundticin immunity protein of 98 amino acids, as evidenced by the close similarity to the immunity protein of mundticin KS [31].

Stress response systems

One of the most relevant characteristics of the Enterococcus genus is its capacity to resist and grow at low pH. Thus, we analyzed the presence of genes involved in the acidic stress response in the E. mundtii genome. We identified eight genes encoding the different subunits of the F0F1-ATPase, which is also present in the enterococcal core genome previously described. This complex is involved in pH homeostasis through the generation of proton motive force by ATP consumption [34]. The organization of these genes was the same as that for other enterococcal F0F1-ATPases (atpBEFHAGDC), where atpBEF encode the A, C and B subunits of the membrane-bound F0 domain, whereas atpHAGDC genes encode the δ, α, γ, β y ϵ subunits of the cytoplasmic F1 domain, respectively [34]. In addition, the genome of E. mundtii possesses an operon constituted by nine genes (F, I, K, E, C, G, A, B and D) homologous to the ntp genes of E. hirae[35] encoding a Na+-pumping V1V0-ATPase. The V1 domain is a peripheral complex responsible for ATP hydrolysis, and is constituted by A, B, C, D, E, F and G subunits. The V0 domain is an integral complex responsible for Na+ translocation across the membrane.

Furthermore, three gene clusters also indirectly involved in resistance to low pH were identified. One of them corresponds to the cit genes, homologous to those recently characterized in E faecalis, which are responsible for the degradation of citrate and are organized in two divergent putative operons [36–39]. The first transcriptional unit contains genes encoding a GntR-family transcriptional regulator and a citrate permease belonging to the Me2+-CitMHS family (citO and citH genes, respectively). In the second operon, genes responsible for the codification of citrate lyase subunits (citDEF), citrate lyase accessory genes (citC and citX) and a membrane oxaloacetate decarboxylase (oadAHBD) were found. This genetic organization resembles that found in E. faecium, which differs from the E. faecalis cit locus in the position of another citrate lyase-accesory gene, citG, and also in the absence of the soluble oxaloacetate decarboxylase gene, citM. The second group of genes involves the mleS (malolactic enzyme), mleT (malate transporter) and mleR (transcriptional activator from LysR family) genes, which are required for the malolactic fermentation and show homology to those found in E. faecium[40]. Finally, genes associated to the arginine deiminase pathway (ADI), which generates ATP and contributes to low-pH resistance, were identified. These genes are present in the core genome of selected enterococci and code for the three main enzymes of the system, arginine deiminase, ornithine transcarbamylase and carbamate kinase. Additionally, we identified a homologue to arcR divergently oriented, which encodes an activator of the ADI system (Crp-Fnr family of regulators). Besides, a homologue of the arginine-ornithine transporter (arcD) of Lactococcus garvieae ATCC 49156 was identified in another genomic region of E. mundtii.

Other related proteins required for optimal stress resistance were identified in the genome of E muntdii: RecA, a mediator of homologous recombination and regulator of the SOS response, chaperonins GroEL and GroES, HtrA, a protein involved in proteolysis of abnormal proteins synthesized under stressful conditions, the enzymes involved in the synthesis of D-alanyl-lipoteichoic acid (dlt operon, see Table 3), and the diacylglycerol kinase DagK, involved in acid resistance [34].

Table 3 Putative virulence factors present in E. mundtii
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Analysis of regulators

Since adaptation to different niches requires a fine-tuning of gene expression, we searched for regulators responsible for sensing the bacterial environmental milieu and physiological state. By knowing the set of regulators shared by related bacteria and detecting the presence of those that are unique, it is possible to infer the common and specific characteristics of niches and lifestyle among them. In the attempt to study the complete set of regulators encoded by the E. mundtii genome, a database consisting of 122 genes was constructed (see Methods section) and a comparative analysis against E. faecalis V583 and E. faecium DO was performed.

Core regulators

58 (48%) of the analyzed genes were found in the three genomes (Additional file 1: Figure S1). Although 24 of these genes are not assigned to any RAST subsystems, the rest of them were implied in diverse functions including sugar uptake and utilization (mannose, lactose, galactose, D-tagatose and galactitol), anabolic pathways (purine, pyrimidine, deoxyribonucleotides, glutamine, glutamate, aspartate and asparagine, fatty acids and pyridoxin), amine compounds degradation (arginine, ornithine, polyamine, chitin and N-acetylglucosamine), ATP-dependent proteolysis, phosphate uptake, competence, heme and hemin uptake and utilization systems, metal homeostasis/resistance (copper, cobalt, zinc and cadmium) and oxidative stress (Additional file 3: Table S2, Core regulators).

Non-core regulators

37 genes (30%) of the analyzed regulators were found in E. mundtii and E. faecium (20%; 25 genes) or E. faecalis (10%; 12 genes) but not in the three genomes at the same time (Additional file 1: Figure S1). Although higher cut-in and cut-off values were used for ortholog assignment to E. faecium with respect to E. faecalis (refer to Methods section), higher numbers of orthologs were found in the former, which correlates with the closer phylogenetic relationship between the species. While 25 out of the 37 genes are not assigned to any RAST subsystems, the remaining 12 were assigned to diverse functions including sugar uptake and utilization (fructooligosaccharides, raffinose, lactose and galactose), heme and hemin uptake and utilization systems, degradation of amine compounds (arginine and ornithine), organic acid metabolism (pyruvate and sialic acid) and oxidative stress (Additional file 3: Table S2. Non-core regulators).

E. mundtii species-specific regulators

27 gene orthologs (22%) could not be found in E. faecium or E. faecalis, and 12 (10%) of these genes have orthologs in other LAB. The remaining genes only have orthologs in phylogenetically more distant bacteria (Bacillus, Clostridium, Listeria). Although none of these genes belong to a RAST subsystem, a preliminary sinteny analysis assigned them to functions related to carbon compound utilization (maltose, xylose, cellobiose and formaldehyde), anabolic pathways (sulfur containing compounds, coenzyme A, lysine), cell surface functions, ABC-type transporters and other roles (hydrolase, DNA methylation, ribosomal related) (Additional file 3: Table S2).

Among all the transcriptional regulators found in the E. mundtii genome, there is a subset corresponding to response regulators (RR) putatively forming part of two-component signal transduction systems (TCS). The importance of TCS for the ability of E. faecalis to respond to environmental stimuli has been previously stressed by Hancock and Perego [55]. The E. mundtii genome contains putative genes coding for 17 TCS and one orphan response regulator (Additional file 4: Table S3). We found E. faecalis homologues for 14 of the E. mundtii TCS and also for the orphan RR. As a general rule for most bacterial sensor kinases, all of the HK in E. mundtii were predicted to be membrane localized (data not shown). Among the remaining HK, one (IIb) showed homology to proteins present in environmental enterococci, and HKs IIIa-i and j presented homology to sensors encoded by E. faecium. This analysis suggests that the set of TCS present in E. mundtii is highly similar to that encoded by other enterococcal species.

Identification of genes involved in pigmentation

E. mundtti CRL1656 shows a characteristic yellowish pigmentation on agar plates, originated by the production of carotenoids as reported for other Enterococcus species [56]. Genes responsible for carotenoid production have been previously described in Staphylococcus aureus[57] and Lactobacillus plantarum[58]. It has been shown that crtM and crtN constitute a bicistronic operon encoding the enzymes responsible for the production of the yellow pigment, presumably the C30 carotenoid 4,4′-diaponeurosporene. In S. aureus, diaponeurosporene is further converted to staphyloxanthin, the orange carotenoid present in most staphylococci strains. For this, S. aureus harbors up to three extra enzymes coded by genes crtO, crtP and crtQ, which are located in the same operon as crtM and crtN (crtOPQMN)[57]. The E. mundtii genome encodes a protein with 68 and 77% similarity to CrtN from S. aureus and L. plantarum, respectively. Regarding CrtM, the homology is reversed, with the homologue from L. plantarum sharing a similarity higher than the one corresponding to S. aureus (64 versus 53%, respectively). Remarkably, this analysis also detected the presence of putative homologues for S. aureus CrtO (60%), CrtP (73%) and CrtQ (52%). However, genes coding for these proteins are located in a different cluster with respect to crtN and crtM, and also show a different organization (crtPQO) to that found in S. aureus[57]. Furthermore, a comparative analysis with other enterococcal species indicated that crtN and crtM homologues were present in E. gallinarum, E. saccharolyticus and E. casseliflavius genomes. Noteworthy, putative proteins involved in staphyloxanthin biosynthesis were also detected in E. casseliflavius.

Virulence factors and antibiotic resistance

The potential virulence genes encoded by the genome of E. mundtii are of particular interest. An initial comparative analysis between different enterococcal species using the Virulence Factors Data Base [24] revealed that E. mundtii has a reduced number of putative virulence determinants (Table 1). We searched for virulence genes previously analyzed by G. mellonella or mice infection models [3, 46, 59] to validate our results (Table 3). Among collagen adhesins, only the E. faecium widely spread scm gene [41] was detected in the E. mundtii genome, which lacks the most extensively studied ace and acm genes. We also found the ebp pili coding cluster, in conjunction with its cognate transcriptional regulator EbpR [43] along with sortase proteins [42, 44], which are ubiquitous in E. faecalis and E. faecium. Furthermore, we identified the rnjB gene, which encodes a putative RNase J2 that activates the transcriptional expression of the ebpABC operon [45]. Noteworthy, expression of the ebp locus is negatively regulated by the Fsr system [60], which is also present in E. mundtii (Additional file 4: Table S3). None of the other pili-encoding loci previously reported for E. faecalis (bee plasmidic genes, [61]) or E. faecium[41] were detected. A cluster of genes that might be responsible for the synthesis of capsular polysaccharides (eps locus, Additional file 5: Figure S2) was identified. It codes for proteins with homology to that reported in E. faecium[16]. In E. mundtii, we found three of the four phosphoregulatory system proteins conserved in all species of E. faecium (the LytR-Csp-Psr family protein is absent). Furthermore, two glycosyl transferases and the conserved dehydrogenase and flippase were detected as well as several conserved PTS-related proteins linked to the eps cluster in E. faecium 1,141,733 (Additional file 6: Table S4).

Moreover, several virulence genes that are related to cell wall synthesis in E. faecalis were found (Table 3). Remarkably, genes responsible for the synthesis of Epa (enterococcal polysaccharide antigen, suggested to be associated to the cell wall) were detected (Additional file 5: Figure S2). The core genes showed a similar genetic organization to that observed in E. faecium[16]. In E. mundtii the variable accessory region encode predicted glycosyltransferases and other proteins with potential roles in WTA production (encoded by tag genes), and the genetic organization resembles that of E. faecium Com15, a microorganism of human intestinal origin (Additional file 6: Table S4). Since major growth defects have been detected for mutants in different genes of this locus, Rigottier et al.[46] have proposed that these genes are important for the fitness of the bacterium rather than bona fide virulence factors.

Other virulence genes detected correspond to msrA and msrB, encoding methionine sulfoxide reductases important for the oxidative stress response, macrophage survival, and persistent infection [51]; and gls genes encoding general stress proteins (Gls33 and Gls20), important for adaptation to the intestinal environment and in mouse peritonitis models [52]. Moreover, this analysis detected the presence of a gene with significant homology to bopD, coding for the transcriptional regulator of maltose metabolism, which has been implicated in biofilm formation and bacteremia in mice [48].

Regarding resistance to antibiotics, the search for vancomycin resistance genes (vanA, vanB, vanC, vanD and vanE), tetracycline (tetM, tetL, tetS, tetO, tetK, and tetW) gentamicin (aac (6′)-aph (2′)), chloramphenicol (cat), lincosamide (lnuA), erythromycin (ermT and ermB), methicillin (mecA) and penicillin (blaZ) did not identify genes with significant homology (Additional file 7: Table S5). Furthermore, mutations conferring resistance to ampicillin or ciprofloxacin within the genes coding for gyrA or pbp5, respectively, were neither identified.

E. mundtii effect on G. mellonellasurvival

In order to study E. mundtii virulence, CRL1656 strain was used to infect the insect host model Galleria mellonella[29, 46]. G. mellonella, is a reliable model host to study the pathogenesis of numerous human pathogens [62]. The capacity of a pathogen to kill G. mellonella has a correlation with virulence in mammalian models [62]. In fact, the innate immune systems of Galleria larvae and mammals share a high degree of homology [63].

In our analysis, the E. faecalis JH2-2 strain was used as control [64]. This strain was initially isolated from a nosocomial infection, and constitutes a genetic model extensively used in our laboratory [36, 38, 40, 65] and by others [66, 67]. The semiquantitative analysis performed (as described in the methods section) on the predicted proteins of the JH2-2 genome revealed 874 hits for putative virulence factors). As shown in Figure 3, G. mellonella survival was significantly LogRank test, P < 0.05 greater after infection with E. mundtii than with E. faecalis JH2-2 strain, at two different enterococcal concentrations. In the control groups infected with sterile saline buffered solution no larvae died in any of the replicates (data not shown). As consequence, these results confirm that E. mundtii is not as effective as E. faecalis in colonizing and killing G. mellonella larvae.

Figure 3
figure 3

E. mundtii effect on G. mellonella survival. Kaplan-Meier survival analysis of G. mellonella upon infection with E. mundtii (blue lines) and E. faecalis JH2-2 (red lines). Data are representative of three separate survival experiments performed with groups of 15 insects for each. Survival curves were constructed by the Kaplan-Meier method and compared by Log-rank analysis. P values of <0.05 were considered statistically significant.

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Conclusion

In this report, a study of the genomic data of E. mundtii CRL1656 is presented for the first time. Additionally, a comparative analysis including the full genomic sequence of representative enterococcal species of diverse origins was conducted (Table 1). E. mundtii CRL1656 contains 805 CDS in common with other species of Enterococcus and only a low number of unique CDS, among which we identified a cluster encoding a bacteriocin and other related proteins. A phylogenetic tree for concatenated sequences of enterococcal core proteins was constructed (Figure 2A), indicating that E. mundtii is closer to E. faecium. This is in accordance with the sodA gene sequence phylogenetic comparison reported by Poyart et al.[68], which showed that these two enterococcal species cluster together. Moreover, as shown in Figure 2B, the highest ANI percentage was found between these microorganisms.

Bacterial genome plasticity is influenced by the presence of GEIs, which may include genes encoding for any number of functions, notably pathogenicity determinants [3, 46, 59]. Only 4 putative GEIs were identified in strain CRL1656, and none of them carries genes that might be encoding known virulence determinants. Many virulence genes and their functions have been described in enterococci [3, 46, 59]. Our bioinformatic analysis revealed the lowest number of putative pathogenicity factors for E. mundtii in comparison to other Enterococcus strains (Table 1), including different species from diverse origins (clinical, food and commensal). However the analysis of the presence or absence of virulence traits is not decisive to determine the commensal or pathogenic nature of a bacterium and the predictive methods have limitations and are not sufficient to conclude on the pathogenesis of the microorganism. This observation clearly arises from the analysis of Table 1, in which the commensal strain E. faecium Com15 possesses a higher number of putative virulence determinants (755) than the clinical isolate E. faecium strain DO (728). In this study, the virulence of the E. mundtii CRL1665 strain was evaluated using the G. mellonela model. As shown in the Figure 3, E. mundtii CRL1665 resulted non-virulent at low dose whereas the JH2-2 strain used as control killed 60% of larvae at 60 h. At high dose similar results were found E. mundtii strain was able to kill only 40% of larvae, whereas the control killed near the 80%. Our data indicate that the E mundtii strain CRL1665 as it was predicted by bioinformatic analysis is less virulent than the model E. faecalis JH2-2.

Remarkably, neither homologues for the main secreted factors shown to be critical for enterococcal pathogenesis, sprE (serine protease) and gelE (gelatinase), were found in E. mundtii nor other relevant genes such as cyl (transport and activation of a cytolisin [69]), agg, (adherence to eukaryotic cells) and esp (cell wall protein involved in immune evasion [70]). Interestingly, a gene annotated as a putative hemolysin was found. This protein contains a domain belonging to the hemolysin III family (Pfam 03006), which includes proteins from pathogenic and non-pathogenic bacteria, Homo sapiens and Drosophila melanogaster. In Bacillus cereus, it has been shown to function as a channel-forming cytolysin. In contrast, the cytolytic hemolysins commonly expressed by many enterococcal bacteraemia isolates, are two-component peptide systems (CylLL and CylLS) whose expression requires the products of an eigth-gene locus [71]. However, this locus is absent in E. mundtii. Experimental assays will be needed to define if the type III-hemolysin has a lytic role in vivo.

Some enterococcal species, particularly those thought to be associated with soil and non-human hosts [72], including E. mundtii, contain yellow pigments. Pigments in E. mundtii were identified as carotenoids [73]. This study has shown the presence of genes involved in the C30 carotenoid biosynthetic pathway in this bacterium, which is also present in most of the environmental enterococcal sequenced species. The ubiquitous detection of crtM and crtN genes, involved in the biosynthesis of the yellow 4,4’-diaponeurosporene, as well as the documented carotenoid production by these microorganisms [4], suggest that the role of carotenoids in enterococcal environmental fitness must be important. Carotenoids function as protectors against photodamage as they are able to quench ROS. Pigmented enterococci are protected from solar inactivation and can persist for extended periods of time in marine water relative to non-pigmented species [56]. Therefore, we can speculate that pigmentation in E. mundtii could play a protective role when the microorganism is exposed to the environment.

In this work we also identified those genes encoding the machinery responsible for the production of a bacteriocin previously reported by Espeche et al.[8]. This feature constitutes a relevant and unique characteristic of the strain. With respect to its biological activity, mundticin 1656 was shown to inhibit the growth of Listeria monocytogenes and a variety of lactic acid bacteria [8]. Noteworthy, the use of bacteriocins for the prevention or treatment of mastitis in cows has the potential to reduce the dependence on antibiotics. Given the genetic features observed throughout this work, E. mundtii could be used to this end, but this hypothesis needs to be further investigated.

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Acknowledgements

This work was supported by grants from the Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT, PICT2010-1828 and PIP 2012/14 CONICET, Argentina). GDR and CAS are fellows of CONICET, VSB, ME and CM are Career Investigators of the same institution.

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  1. Instituto de Biología Molecular y Celular de Rosario (IBR-CONICET) and Departamento de Microbiología, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, Rosario, S2002LRK, Argentina

    Guillermo D Repizo, Martín Espariz, Víctor S Blancato, Cristian A Suárez & Christian Magni

  2. Departamento de Fisiología, Facultad de Ciencias Médicas, Universidad Nacional de Rosario, Santa Fe 3100, Rosario, S2002LRK, Argentina

    Luis Esteban

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  1. Guillermo D Repizo
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Correspondence to Christian Magni.

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Authors’ contributions

GDR, ME, VSB, CAS and LE conducted bioinformatic analysis and G. mellonella killing assays. CM designed the study and drafted the manuscript. All authors were involved in the writing of the manuscript. All authors read and approved the final manuscript.

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Additional file 1: Figure S1: Search for orthologs of E. mundtii CRL1656 putative regulators in E. faecalis V583 and E. faecium DO genomes. A) General workflow. E. mundtii CRL1656 regulators were used as query in a BlastP search over E. faecalis V583 and E. faecium DO genomes. Obtained data was used to define Cut-In and Cut-Off values and subsequently to determine the presence or absence of each regulator in both genomes. B) Construction of a Correlation Table. Retrieved sequences from previous BlastP analysis with more than 80% coverage, score values higher than 50 and sharing the highest degree of identity were directly added to the Table. C) Workflow for Cut-In and Cut-Off definition. E. faecalis V583 or E. faecium DO proteins correlating with more than one E. mundtii CRL1656 protein were used as Input Data. Each set of E. mundtii CRL1656 proteins was sorted by percentage of identity (Id%). Those with the highest value and more than 50% of Id% were defined as orthologs and used for Cut-In definition. The remaining proteins were defined as paralogs and used to set up the Cut-Off value. Protein sets with the highest Id% but lower than 50% were analyzed individually to determine whether they were paralogs or orthologs. Finally, the lowest Id% value among all orthologs was defined as the Cut-In value and the highest Id% among all the paralogs was defined as Cut-Off value. D) Workflow for Ortholog Table construction. The pruned correlation table results from eliminating paralogs defined in (C) from the correlation table defined in (B). All proteins that shared an Id% higher than the Cut-In value were considered as present and those with Id% lower than the Cut-Off were considered absent. Presence or absence of proteins with shared identity between Cut-Off and Cut-In values was analyzed individually by sinteny. (PDF 407 KB)

Additional file 2: Table S1: Putative functions associated to horizontal gene transfer. (PDF 405 KB)

Additional file 3: Table S2: Transcriptional regulators encoded in the E. mundtii genome. (XLS 34 KB)

Additional file 4: Table S3: Two-component systems present in E. mundtii. (XLS 270 KB)

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Additional file 5: Figure S2: epa and eps gene clusters present in E. mundtti CRL1656. E. faecium 1.141.733 epa genes and E. faecium Com 15 eps genes are shown for comparison. Genes are colored following the code included in the figure. (DOC 59 KB)

Additional file 6: Table S4: Eps and epa loci in E. mundtii. (XLS 31 KB)

Additional file 7: Table S5: Antibiotic resistance. (XLS 28 KB)

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Repizo, G.D., Espariz, M., Blancato, V.S. et al. Genomic comparative analysis of the environmental Enterococcus mundtii against enterococcal representative species. BMC Genomics 15, 489 (2014). https://doi.org/10.1186/1471-2164-15-489

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BMC Genomics

ISSN: 1471-2164

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