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Diversity of Prophage DNA Regions of Streptococcus agalactiae Clonal Lineages from Adults and Neonates with Invasive Infectious Disease

  • Mazen Salloum,

    Affiliation EA 3854 Bactéries et Risque Materno-foetal, Institut Fédératif de Recherche 136 Agents Transmissibles et Infectiologie, Université François-Rabelais de Tours, UFR de Médecine, Tours, France

  • Nathalie van der Mee-Marquet ,

    n.vandermee@chu-tours.fr

    Affiliations EA 3854 Bactéries et Risque Materno-foetal, Institut Fédératif de Recherche 136 Agents Transmissibles et Infectiologie, Université François-Rabelais de Tours, UFR de Médecine, Tours, France, Service de Bactériologie et Hygiène Hospitalière, Hôpital Trousseau, CHRU de Tours, Tours, France

  • Anne-Sophie Valentin-Domelier,

    Affiliations EA 3854 Bactéries et Risque Materno-foetal, Institut Fédératif de Recherche 136 Agents Transmissibles et Infectiologie, Université François-Rabelais de Tours, UFR de Médecine, Tours, France, Service de Bactériologie et Hygiène Hospitalière, Hôpital Trousseau, CHRU de Tours, Tours, France

  • Roland Quentin

    Affiliations EA 3854 Bactéries et Risque Materno-foetal, Institut Fédératif de Recherche 136 Agents Transmissibles et Infectiologie, Université François-Rabelais de Tours, UFR de Médecine, Tours, France, Service de Bactériologie et Hygiène Hospitalière, Hôpital Trousseau, CHRU de Tours, Tours, France

Abstract

The phylogenetic position and prophage DNA content of the genomes of 142 S. agalactiae (group-B streptococcus, GBS) isolates responsible for bacteremia and meningitis in adults and neonates were studied and compared. The distribution of the invasive isolates between the various serotypes, sequence types (STs) and clonal complexes (CCs) differed significantly between adult and neonatal isolates. Use of the neighbor-net algorithm with the PHI test revealed evidence for recombination in the population studied (PHI, P = 2.01×10−6), and the recombination-mutation ratio (R/M) was 6∶7. Nevertheless, the estimated R/M ratio differed between CCs. Analysis of the prophage DNA regions of the genomes of the isolates assigned 90% of the isolates to five major prophage DNA groups: A to E. The mean number of prophage DNA fragments amplified per isolate varied from 2.6 for the isolates of prophage DNA group E to 4.0 for the isolates of prophage DNA group C. The isolates from adults and neonates with invasive diseases were distributed differently between the various prophage DNA groups (P<0.00001). Group C prophage DNA fragments were found in 52% of adult invasive isolates, whereas 74% of neonatal invasive isolates had prophage DNA fragments of groups A and B. Differences in prophage DNA content were also found between serotypes, STs and CCs (P<0.00001). All the ST-1 and CC1 isolates, mostly of serotype V, belonged to the prophage DNA group C, whereas 84% of the ST-17 and CC17 isolates, all of serotype III, belonged to prophage DNA groups A and B. These data indicate that the transduction mechanisms, i.e., gene transfer from one bacterium to another by a bacteriophage, underlying genetic recombination in S. agalactiae species, are specific to each intraspecies lineage and population of strains responsible for invasive diseases in adults and neonates.

Introduction

Group-B streptococcus emerged in the 1960s as a major cause of neonatal morbidity and mortality in the United States and Europe [1], [2]. Sepsis and meningitis were the most severe diseases caused by this bacterium in neonates. Three decades later, S. agalactiae emerged as a pathogen responsible for various infections in non pregnant adults, particularly in elderly subjects with underlying conditions [3][5]. Primary bacteremia is the most serious clinical syndrome reported in adults, accounting for almost 24% of all S. agalactiae infections in adults [6]. Meningitis is less frequent, accounting for about 4% of S. agalactiae infections in adults, but is associated with very high mortality rates (27% to 34%) [5], [6].

Previous studies, based on multilocus enzyme electrophoresis (MLEE), pulsed-field gel electrophoresis (PFGE), restriction digestion pattern (RDP) analysis, and multilocus sequence typing (MLST), have shown that S. agalactiae strains from certain phylogenetic lineages are more frequently implicated in neonatal invasive infections, such as neonatal meningitis in particular, than in adult infections [7][10]. Strains of other lineages have recently been found to be more specifically implicated in adult infections, particularly skin and osteoarticular infections [11].

There is growing evidence to suggest that lysogeny plays an important role in the virulence and evolution of several bacteria. Prophage-encoded virulence factors have been identified in many bacterial species, including Vibrio cholera, Salmonella enterica, Escherchia coli, Clostridium botulinum, Corynebacterium diphtheria, Staphylococcus aureus and Streptococcus pyogenes [12]. These virulence factors include extracellular toxins, proteins altering antigenicity or involved in invasion, enzymes and other factors. Temperate phages may also mediate the adaptation of lysogens to new hosts, thereby increasing their fitness [12][14]. Lysogeny also contributes to intraspecies genomic diversity in bacteria. For example, several phage-encoded proven or putative virulence factors in S. pyogenes species account for differences in gene content between strains [15].

In S. agalactiae, lysogeny was first described in 1969, when temperate phages with double-stranded DNA were isolated from strains of bovine origin [16]. Ten years later, a phage-typing system was developed and used for epidemiological investigation [17][21]. An analysis of sequenced S. agalactiae strains showed that phage-associated genes accounted for 10% of all strain-specific genes [22], [23]. S. agalactiae strains from different lineages, isolated from neonatal and adult patients with particular diseases have since been shown to have a greater exposure to lysogeny than colonizing strains [11], [24]. The relationships between temperate phages and S. agalactiae strains depend on the phage type and/or the bacterial lineage [25]. Lysogeny may therefore have affected the evolution of S. agalactiae species, modifying fitness and affecting adaptation to new hosts or virulence.

In this study, we used a PCR-based method recognizing S. agalactiae prophages to determine the diversity of prophage DNA fragments in the genome of invasive isolates from blood cultures and cerebrospinal fluid (CSF), comparing the findings for adult and neonatal patients. The genetic relationships between the prophage DNA fragments present in invasive isolate genomes were determined by hierarchical analysis. We investigated the correlations between prophage DNA content, the clinical circumstances of isolation (from neonates or adults) and the phylogenetic position of S. agalactiae isolates characterized by serotyping and multilocus sequence typing (MLST).

Materials and Methods

Bacterial isolates

We studied 142 S. agalactiae invasive isolates collected in various regions of France during previous epidemiological studies [26], [27]. There were 75 isolates from adults (aged 28 to 98 years; mean age, 72 years) presenting bacteremia (67 isolates isolated from blood cultures) or meningitis (8 isolates from CSF). The other 67 isolates were obtained from neonates (aged from one day to three months) presenting bacteremia (n = 20) or meningitis (n = 47).

Serotyping

Isolates were serotyped by PCR, as previously described [28], using primers based on the sequences of the capsular polysaccharide gene clusters, and allowing to define the major GBS serotypes.

MLST analyses

The genetic diversity and phylogenetic distribution of invasive isolates were determined by MLST, carried out as described by Jones et al. [10]. Comparison of the allelic sequences for seven allelic housekeeping genes allowed to define sequence types (STs). An unweighted group pair method of averages tree was drawn from allelic profile data using eBURST software (http://eburst.mlst.net/) and the entire group B streptococcus (GBS) MLST database (http://pubmlst.org/sagalactiae/), and defined CC in the species. A phylogenetic network was applied to 43 parsimonious-informative (PI) sites in SplitsTree4 (http://splitstree.org/), with the neighbor-net algorithm [29]. Recombination between isolates and STs was evaluated by calculating the pairwise homoplasy index (PHI) [30]. Recombination and mutation rates, calculated from MLST data, were evaluated with the method of Feil et al. [31].

PCR for the detection of prophage DNA fragments in the genomes of S. agalactiae isolates

We previously identified and characterized bacteriophages and prophage remnants from S. agalactiae genomes and designed primer pairs recognizing prophage sequences for PCR [24], [25]. Ten of these primer pairs were used here for evaluation of the prophage DNA content of the 142 S. agalactiae isolates studied (Table 1). PCR was carried out with a Chromo 4 system instrument (Bio-Rad, Hercules, CA, USA). The reaction mixture had a final volume of 25 µl and contained 5 µl of extracted DNA, 0.5 µM of each primer, and IX iQ SYBR green Supermix (Qiagen SA, Courtaboeuf, France) including 3 mM MgCl2. The amplification program comprised 40 cycles of 10 s at 94°C, 10 s at the annealing temperature (45°C for F5, 48°C for F7, 49°C for F10, and SAK_2094, 50.5°C for SAJ_2395, and SAK_1326, 52°C for SAK_0748, or 54°C for SAG0566, SAK_2090, and SAK_0738) and 30 s at 72°C. The reaction products were then cooled to 35°C and subjected to a post-PCR melting cycle by increasing the temperature by 0.2°C for each 10-s cycle, up to 95°C.

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Table 1. PCR primers and amplicon sizes for prophage screening.

https://doi.org/10.1371/journal.pone.0020256.t001

The genetic relationships between the prophage DNA regions of the genomes of the isolates studied were investigated by a hierarchical analysis based on the Jaccard dichotomy coefficient method, as implemented in SYSTAT 12 software.

Statistical analysis

Data were analyzed by chi-squared tests and Fisher's exact tests, to evaluate associations, with P values≤0.05 considered significant.

Results

Serotyping

One isolate from the blood culture of an adult patient could not be typed. The serotype distribution of isolates from adults did not differ as a function of the disease: bacteremia or meningitis (Table 2; P = 0.97). Similarly, no difference in serotype distribution between bacteremia and meningitis was observed for isolates from neonates (table 2; P = 0.41).

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Table 2. Serotypes of S. agalactiae isolates from blood cultures and CSF from adults and neonates.

https://doi.org/10.1371/journal.pone.0020256.t002

By contrast, the serotype distributions of isolates from adults and neonates suffering from invasive disease differed significantly (Table 2; P<0.00001). Indeed, 79% of the invasive S. agalactiae isolates from neonates belonged to serotype III, whereas invasive isolates from adults belonged to four major serotypes: serotypes V (31%), Ia (23%), Ib (19%), and III (19%) (Table 2).

Genetic diversity, recombination and mutation of housekeeping genes

MLST identified 25 different sequence types (STs) among the 142 invasive isolates tested (Fig. 1). eBURST software assigned 137 isolates from 21 STs to six major clonal complexes (CCs): CC1 (28 isolates), CC7 (5 isolates), CC8 (18 isolates), CC17 (51 isolates), CC19 (11 isolates), and CC23 (24 isolates). The isolates of each serotype were distributed between several STs, but this distribution was not random (Table 3; P<0.00001). The isolates of serotypes Ia, III, IV, and V were mostly associated with ST-23 (80%), ST-17 (73%), ST-196 (100%) and ST-1 (81%), respectively. Similarly, the isolates of serotypes Ia, Ib, III, and IV+V mostly belonged to CC23 (84%), CC8 (88%), CC17 (76%), and CC1 (96%), respectively.

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Figure 1. Genetic diversity and sequence type (ST) distribution, determined by MLST [10], of 142 S. agalactiae isolates from cases of adult (AI) and neonatal (NI) invasive disease.

We show the phylogenetic network applied to 43 parsimonious-informative sites from a total of 3,456 nucleotides generated with the neighbour-net algorithm for the 142 strains studied (http://splitstree.org/) [29]. Strains were grouped into clonal complexes (CCs) with eBURST software (http://eburst.mlst.net/). Columns indicate the percentages of AI and NI strains in each CC. Recombination (R) and mutation (M) rates, based on MLST data, were evaluated as described by Feil et al. [31]. The estimated recombination-mutation ratio (R/M) varied as a function of the CC to which the strain belonged.

https://doi.org/10.1371/journal.pone.0020256.g001

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Table 3. Serotype of S. agalactiae isolates from the various STs and CCs implicated in adult and neonatal invasive infections.

https://doi.org/10.1371/journal.pone.0020256.t003

The distribution of isolates from adults between STs did not differ according to the disease: bacteremia or meningitis (Table 4; P = 0.87). Similarly, the distribution of isolates from neonates between STs did not depend on the whether the child had bacteremia or meningitis (table 4; P = 0.25). By contrast, the distribution of invasive isolates among STs differed significantly between isolates from neonates and those from adults (Table 4; P<0.00001). Indeed, the 67 invasive isolates from neonates belonged to only 11 STs, whereas the 75 isolates from adults were more diverse, belonging to 21 STs (Table 4). In addition, 44 of the 67 invasive isolates from neonates (66%) belonged to ST-17, whereas isolates from adults were significantly more frequently associated with ST-1 (19/75; 25%) and ST-23 (14/75; 19%) (Table 4; P<0.00001).

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Table 4. CC, ST of S. agalactiae isolates from adult and neonatal invasive infections.

https://doi.org/10.1371/journal.pone.0020256.t004

As for STs, the distribution of isolates from adults between CCs did not depend on the nature of the disease (table 4; P = 0.99), and this was also the case for isolates from neonates (Table 4; P = 0.25). The distribution of invasive isolates among the various CCs differed significantly between isolates of neonatal and adult origin (Table 4; P<0.00001). Indeed, neonatal invasive isolates most frequently belonged to CC17 (45/67; 67%), whereas isolates from adults with invasive disease mostly belonged to CC1 (25/75; 33%), CC8 (16/75; 21%), and CC23 (15/75; 20%).

We identified a total of 55 variable nucleotide sites in the 3,456 bp of concatenated gene sequences, and 43 sites were parsimonious informative (PI), e.g. informative positions. There were 41 PI sites in neonatal isolates and 43 PI sites in adult invasive isolates. The phylogenetic network applied to the PI sites from the 3,456 total nucleotides with the neighbour-net algorithm for all isolates studied is shown in Figure 1. The overall level of genetic diversity among the invasive isolates was estimated by SplitsTree4 software at 0.015 for adult invasive isolates and 0.013 for neonatal invasive isolates.

Use of the neighbour-net algorithm with the PHI test revealed evidence for recombination in the population studied (PHI, P = 2.01×10−6; Fig. 1). The method of Feil et al. [31] was applied to the six major CCs defined by eBURST (Table 5), resulting in the identification of 13 single locus variants (SLV) of the six major founder STs. Five of these SLVs displayed allelic polymorphism common to the STs of various CCs. Based on the data shown in table 5 and applying the theory of Feil et al. to our population of 142 isolates, the rate of homologous recombination events was evaluated at six for every seven point mutations (recombination-mutation ratio of 6∶7), thus confirming the results of the PHI test suggesting a high level of homologous recombination within the S. agalactiae population studied. The estimated recombination-mutation ratio (R/M) differed between CCs: the isolates of CCs 7 and 8 presented no evidence of mutation (R/M, 2∶0), whereas those of CCs 17, 19, and 23 displayed no evidence of recombination (R/M, 0∶2 or 0∶1), and CC1 isolates displayed equal frequencies of recombination and mutation (1∶1) (Table 5; Fig. 1).

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Table 5. Distribution of the SLVs of the major clonal complexes as a function of difference in the number of nucleotides (one or more) with respect to the sequence of the founder sequence type.

https://doi.org/10.1371/journal.pone.0020256.t005

Prophage DNA content in invasive S. agalactiae isolate genomes

None of the prophage DNA fragments studied was detected by PCR in one isolate from a CSF sample from an adult. For each of the remaining 141 isolates, PCR amplified one to six of the 10 prophage DNA fragments studied. The genetic relationships between the prophage DNA regions of isolate genomes were plotted as a dendrogram (Fig. 2). This analysis assigned 90% of the isolates (127/141) to five major prophage DNA groups: A to E. The remaining 14 isolates had distantly related prophage DNA regions.

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Figure 2. Distribution of 141 S. agalactiae isolates from adult (ACSF and AB) and neonatal (NCFS and NB) patients with invasive disease between prophage DNA groups, on the basis of PCR evaluations of the prophage content of isolates.

Jaccard analysis generated a dendrogram of similarity values for the 10 prophage sequences described in table 1 (SYSTAT 12 software). Five major prophage DNA groups were defined (groups A to E). The mean number of prophage DNA fragments amplified from strains by PCR and the mean number of absolute deviations (Avedev) were calculated for each prophage DNA group. a anatomic origin of isolates; b serotype of isolates; ST, sequence-type; CC, clonal complex; NT, nontypeable.

https://doi.org/10.1371/journal.pone.0020256.g002

The natures and frequencies of the prophage DNA fragments amplified from the isolates differed significantly between prophage DNA groups (Table 6; P<0.00001). The mean number of prophage DNA fragments amplified per isolate varied from 2.6 in prophage DNA group E to 4.0 in prophage DNA group C. The amplification patterns and diversity of prophage DNA fragments observed differed considerably within prophage DNA groups (Table 6). For the isolates of prophage DNA groups A and C, eight of the 10 prophage targets studied were found in at least one isolate and PCR amplified a large number of prophage DNA fragments from each isolate (means of 3.9 and 4, respectively; Fig. 2). Nevertheless, the diversity of prophage DNA amplification patterns was greater in group A than in group C. Indeed, 24 different prophage patterns were observed for the 35 isolates in group A, whereas only 13 prophage patterns were obtained for the 45 isolates in group C. In addition, the maximal distance between prophage patterns was 0.58 in group A and 0.35 in group C (Fig. 1). The mean number of prophage DNA fragments amplified per isolate was lower (2.6 to 2.9; Fig. 2) for the three remaining prophage DNA groups, B, D and E. Pattern diversity was lowest in group B (11 prophage patterns for 30 isolates), and slightly greater in groups D (4 patterns for 9 isolates) and E (6 patterns for 8 isolates).

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Table 6. Distribution of the S. agalactiae isolates of various origins, serotypes, sequence types, and clonal complexes between prophage DNA groups, as displayed by SYSTAT 12 softwarea.

https://doi.org/10.1371/journal.pone.0020256.t006

Each prophage DNA group was characterized by the presence of particular prophage DNA regions in the isolate genomes (Table 6). Prophage DNA group A was characterized by the frequent amplification of prophage DNA fragments F5, F7, F10, SAK_0748 and SAK_2090; prophage DNA group B was characterized by the frequent amplification of prophage DNA fragments SAK_0748, SAK_2090, and SAK_2094; prophage DNA group C was characterized by the frequent amplification of prophage DNA fragments SAK_0738, SAK_0748, SAK_2090, and SAK_1326; prophage DNA group D was characterized by the frequent amplification of prophage DNA fragments SAK_2090 and SAK_1326 and prophage DNA group E was characterized by the frequent amplification of prophage DNA fragments SAK_0748 and SAK_1326.

The distribution of isolates between prophage DNA groups did not depend on disease (bacteremia or meningitis) for either adult (Table 6; P = 0.86) or neonatal (Table 6; P = 0.54) isolates. By contrast, isolates from adults and neonates with invasive diseases displayed significantly different distributions among prophage DNA groups (Table 6; P<0.00001). Indeed, 39 of the 75 (52%) adult isolates belonged to group C, whereas 50 of the 67 (74%) neonatal isolates were evenly distributed between two groups, A and B.

The distribution of isolates from the various serotypes, STs and CCs between prophage DNA groups was not random (Table 6, Fig. 2) (P<0.00001). Isolates from the two major lineages, ST-1 and ST-17, and their corresponding clonal complexes, CC1 and CC17, frequently implicated in adult and neonatal invasive diseases, respectively, had particular prophage DNA contents. All 22 ST-1 and 28 CC1 isolates (100%), most of which were of serotype V, belonged to prophage DNA group C. Forty-one of the 49 ST-17 isolates (84%) and 43 of the 51 CC17 isolates (84%), all of serotype III, belonged to groups A and B. Remarkably, the 10 invasive isolates of ST-19 and 11 invasive isolates of CC19, which rarely cause invasive disease in adults and neonates, also clustered with group A (Fig. 2). Thus, invasive ST-19/CC19 isolates had a prophage DNA content similar to that of CC17 isolates capable of invading the CSF of neonates [10], [32][36]. The isolates of ST-8 and ST-23 and the corresponding clonal complexes, CC8 and CC23, frequently implicated in adult invasive disease, were mostly of serotype Ib and Ia, respectively, and were distributed between the five major prophage DNA groups, indicating considerable diversity in terms of prophage DNA content.

Discussion

Streptococcus agalactiae is a well known cause of sepsis and meningitis in neonates and is now recognized as a non exceptional cause of bacteremia and meningitis in adults. Nevertheles, S. agalactiae isolates responsible for causing disease in adults have not been much studied yet. Prophage genes account for 10% of all strain-specific genes in S. agalactiae, but few studies have investigated the prophage DNA content of the S. agalactiae genome. Given that temperate phages can mediate the adaptation of bacteria to new ecological conditions and affect the evolution and pathogenic power of individuals (12), we studied the diversity of prophage DNA regions in the genomes of S. agalactiae isolates from various phylogenetic lineages obtained from adults and neonates with invasive infections. The S. agalactiae isolates implicated in bacteremia and meningitis displayed considerable genetic diversity, due to a number of different genetic events, including mutation and recombination (PHI, P = 2.01×10−6; Fig. 1 and recombination-mutation ratio of 6∶7), and were exposed to particular transduction mechanisms in gene recombination (Table 6, Fig. 2). Nevertheless, our data indicate that the prophage DNA content of isolates resulting in lysogeny were specific to each intraspecies lineage of isolates, suggesting a possible contribution to the differentiation of the species into clones, with each clone differing markedly from the others in terms of its propensity to cause invasive disease in adults or neonates.

CC17 isolates have been well characterized and are clearly associated with invasive diseases in neonates (Fig. 1, Table 3; [10], [32][36]). The invasive CC17 isolates studied were fairly homogeneous in terms of their recombination levels (Fig. 1), consistent with recent findings [36]. By contrast, the CC17 isolates displayed considerable diversity in terms of their prophage DNA content. Indeed, the prophage DNA fragments found in their genomes belonged to two different, distant prophage DNA groups (A and B), each characterized by a particular profile of prophage DNA fragments (Fig. 2). S. agalactiae may be considered a model of bacteria subjected to temporal changes in habitat, for which prophage–bacterial interaction has been an essential survival strategy during evolution, for both the prophage and the bacterium. We can hypothesize that the two clades of CC17 isolates, defined on the basis of their prophage DNA content, may result from adaptation, at different times, to two markedly different ecological systems, such as the bovine or human intestinal or genital tracts, with very different phage constituents [12], [14], [37], [38]. These two prophage DNA content-based clades in CC17 are both capable of invading the central nervous system of neonates. However, the virulence mechanisms of these two clades may differ considerably, given that the transduction mechanisms in gene recombination may affect bacterial virulence.

Since the mid-1990s, S. agalactiae has increasingly been considered as a pathogen responsible for various infections in adults [3], [4], [6], [39][41]. This change in host coincided with the emergence of a particular serotype, serotype V, which was subsequently shown to belong to a new phylogenetic lineage, CC-1 [42], [43]. In this study, we found that most of the isolates responsible for sepsis and meningitis in adults belonged to CC1 and CC8, two clones phylogenetically different from that associated with invasive infections in neonates (CC17) and with genomes containing specific prophage DNA fragments (Fig. 1; Fig. 2). This suggests that the bacteria involved in invasive infections in adults and neonates emerged and evolved in very different ways. These findings may be explained partly by the constraints linked to adaptation to different hosts. Indeed, CC17 strains have been associated with vaginal colonization, whereas the strains of STs 1 and 8 are more frequently associated with throat and anal margin carriage [44]. Bacteriophages are responsible for niche-specific horizontal gene transfer, which plays a role in structuring bacterial communities [45], [46]. The adaptation of strains to different ecological systems in humans may therefore result from different lysogeny events with different consequences. Nevertheless, the precise impact of lysogeny, which results in the adaptation of S. agalactiae to very different systems (the mouth, the gut, the vagina, the skin, the udder of cattle, fish or marine environments) with contrasting biological, physical and chemical properties, remains to be elucidated.

Our results showed that the invasive CC1, CC8 and CC23 isolates responsible for invasive diseases in adults were fairly homogeneous in terms of their prophage DNA content. Indeed, most of these isolates possessed the same prophage DNA fragments, those of the homogeneous prophage DNA group C, which had the highest mean number of prophage DNA fragments per isolate (mean = 4.0; Table 6, Fig. 2). The prophage DNA fragments identified in this group have previously been found to be: i) associated with CC1 and CC23 isolates responsible for adult skin and osteoarticular infections and ii) different in terms of the nature and number of fragments per isolates from those of colonizing strains [11]. These results suggest a possible link between the phenomena of lysogeny and the ability of strains to induce disease in adults, but the mechanisms involved remain unclear. As previously described in S. aureus and E. coli, lysogeny may inactivate some bacterial genes, thereby altering the levels of transcription and expression of some virulence genes [47][49]. Alternatively, lysogeny may facilitate the importation of new virulence genes, as described in several species, such as S. aureus, S. pyogenes, V. cholerae or enteric bacteria [12]. In S. agalactiae, the mechanism involved is likely to be more complex, as no virulence gene associated with a phage has yet been identified. It is possible that, as recently shown for the integration of other mobile genetic elements into intergenic regions [50], prophage DNA integration into the S. agalactiae genome modified the expression of certain factors already present in the genome. All but one of the CC8 isolates contained the SAK_1326 fragment, which was found in most CC1 isolates and all but two of the CC23 isolates (Fig. 2). This fragment is located in the genomic island harboring the lmb and scpB genes (strain NEM316; ST-23) and the fibrinogen-binding protein genes (strain H36B; ST-6, serotype Ib), which encode virulence factors known to be involved in adhesion and immune evasion. It was therefore not possible to exclude the possibility that the integration of such prophage DNA fragments into the strain genome modulates metabolism and/or the expression of virulence genes. Very little is currently known about these mechanisms. It is unclear, for example, whether they are related to the import of additional promoters, or consequences of the action of non-coding RNA or of short palindromic sequences, such as clusters of regularly interspaced short palindromic repeats, directly related to lysogeny. Future studies will focus on these phenomena.

Acknowledgments

The S. agalactiae strains were provided by: Dominique Barraud (CH Gonesse), Sylvie Charachon (CHU Nimes), Hubert Chardon (CH Aix en Provence), Guy Cheviet (LABM Nantes), Jean-Pierre Darchis (CH Compiègne), Bertille de Barbeyrac (CHU Bordeaux), Jean-Marie Delarbre (CH Mulhouse), Florence Doucet-Populaire (CH Versailles), Daniel Dye (LABM Grenoble), Sébastien Fougnot (LABM Metz), Jean Gandois (LABM Toulouse), Françoise Geffroy (CH Quimper), Ghislaine Grollier (CHU Poitiers), André Labarthe (LABM Lille), Jean-Pierre Lafargue (CH Dax), Patrice Laudat (LABM Tours), Léa Lebrun (CHU Clamart), Evelyne Lecaillon (CH Perpignan), Alain Le Coustumier (CH Cahors), Christian Martin (CHU Limoges), Florence Megglé (LABM Marseille), Laurent Mereghetti (CHU Tours), Annie Pavis (CHU Nancy), Céline Ramanantsoa (CH Le Mans), Jean Pierre Romaszko (CHU Clermont-Ferrand), Marie-Elisabeth Reverdy (CHU Lyon), Didier Tandé (CHU Brest), Jacques Thierry (LABM Lyon), and Charlotte Verdet (CHU Paris).

Author Contributions

Conceived and designed the experiments: MS NvdM-M RQ. Performed the experiments: MS ASV-D. Analyzed the data: MS NvdM-M ASV-D RQ. Contributed reagents/materials/analysis tools: ASV-D. Wrote the paper: MS NvdM-M RQ.

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