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Loss of Catabolic Function in Streptococcus agalactiae Strains and Its
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     Equipe d'Accueil 3854, Institut Federatif de Recherche 136 "Bacteries et risque maternofoetal," UFR Medecine, Universite Franois-Rabelais de Tours, 2 bis Boulevard Tonnelle, 37032 Tours Cedex, France

    Service de Bacteriologie-Hygiene, CHRU Trousseau, 37044 Tours Cedex 9, France

    ABSTRACT

    The abilities of 151 Streptococcus agalactiae strains to oxidize 95 carbon sources were studied using the Biolog system. Two populations were constituted: one with a high risk of causing meningitis (HR group; 63 strains), and the other with a lower risk of causing meningitis (LR group; 46 strains). Strains belonging to the HR group were significantly less able to use four carbon sources, i.e., -D-glucose-1-phosphate, D-ribose, -methyl-D-glucoside, and D,L--glycerol phosphate, than strains from the LR group (P 0.004). Moreover, strains in the HR group significantly more frequently possessed one of several mobile genetic elements or genome deletions previously shown to be associated with strains responsible for neonatal meningitis than strains in the LR group (P < 0.001). These findings suggest that genetic disruption might have occurred in virulent clones of S. agalactiae. Fifteen biotypes (B1 to B15) were identified from the results of oxidation of the four carbon sources, of which six (B1 to B6) included 92% of the isolates belonging to the HR group. Strains of biotypes B1 to B6 are thus 13 times more likely to be able to invade the central nervous system of neonates than strains of biotypes B7 to B15. In addition, 86% of strains recently associated with neonatal meningitis (42 strains studied) were identified as being of biotypes B1 to B6. Identification of particular S. agalactiae biotypes may therefore be one of the criteria to assist clinicians in assessing the level of risk of neonatal meningitis when a mother and/or her neonate is colonized with S. agalactiae.

    INTRODUCTION

    Streptococcus agalactiae, a bacterial pathogen frequently carried in the normal fecal and/or vaginal flora, is a leading cause of severe bacterial infections in newborn infants (39). Phenotypic differences between the S. agalactiae strains causing invasive central nervous system (CNS) infections in neonates and those that colonize neonates but do not cause invasive CNS infection have been identified. These include growth characteristics and production of enzymes and capsular sialic acid (25, 27, 32). However, these differences have not been confirmed by molecular studies. Serotype III polysaccharide antigens (5) and surface protein antigens, including Rib, C alpha, C alpha-like, C beta, and the immunoglobulin A-binding protein (24, 27, 44), have also been identified as virulence factors (10), but no single factor can account for the pathogenicity of S. agalactiae species, suggesting that as-yet-unidentified factors contribute to pathogenicity.

    Multilocus enzyme electrophoresis (MLEE) is a valuable first step towards correlating specific genotypes with particular diseases. It has been used for S. agalactiae species and has distinguished two strongly differentiated lineages in the species (31, 33, 40). The strains responsible for neonatal meningitis are not randomly distributed in these two phylogenetic groups, indicating differences in the virulences of strains of these groups (31, 33). Multilocus sequence typing (MLST) and other molecular methods have confirmed this phylogenetic distribution of strains (17, 20, 34, 42). One lineage, described as ET1 by MLEE by Musser et al. (31) and as division I by Quentin et al. (33), is homogenous and mainly composed of serotype III strains associated with neonatal invasive disease. The MLST ST-17 presumably corresponds to this lineage. The second lineage is highly genetically diverse and includes isolates with various capsular serotypes. According to MLST, ST-19 and ST-1 also contain different capsular serotypes and have been significantly associated with the carrier state (20). We recently demonstrated that various MLST lineages were strongly associated with the presence of mobile genetic elements in the genomes of strains, probably due to horizontal gene transfers (17). This may explain why virulent subgroups of strains able to invade the CNSs of neonates more frequently possess the insertion sequence IS1548 in the hylB gene (encoding hyaluronate lyase), the group II intron GBSi1 inserted downstream from the C5a-peptidase gene scpB, and a unique cluster of tRNA genes at the 3' end of the rRNA operons (15, 16, 34, 35).

    Such an evolution involving horizontal genetic transfer may also involve changes in catabolic functions, which have already been reported for several species (7, 8, 45). Variations in basic housekeeping functions, such as those involved in growth, detoxification, and nutrient transport, have been found to affect the capacity for virulence of S. agalactiae, possibly by affecting fitness in various host environments (12, 18, 19, 25, 36, 41). We therefore hypothesized that the groups of S. agalactiae strains able to invade the CNS of neonates could have particular metabolic profiles, including characteristic patterns of carbon source utilization.

    To investigate this point, we tested the abilities of 151 S. agalactiae strains to utilize 95 different carbon sources. The aim was to determine if S. agalactiae strains belonging to a population associated with a high risk of neonatal meningitis exhibited particular carbon source utilization profiles. We found that the group of strains associated with CNS infections in neonates was unable to use one or several of the following carbon sources: -D-glucose-1-phosphate, D-ribose, -methyl-D-glucoside, and D,L--glycerol phosphate. This loss of catabolic function was correlated with a high prevalence of genetic markers of virulent clones of S. agalactiae strains. Utilization of these four substrates defined 15 biotypes, of which 6 contained most of the S. agalactiae strains associated with neonatal CNS infection.

    MATERIALS AND METHODS

    Bacterial isolates. One hundred fifty-one strains were used in this study and stored at –80°C with the Cryobeads system (AES Laboratories, France).

    One hundred nine strains of S. agalactiae were isolated in France between 1986 and 1990 inclusive. They were selected as having documented anatomical origins and had been phylogenetically characterized by MLEE (33). They included 54 S. agalactiae strains isolated from cerebrospinal fluid (CSF) samples from neonates suffering from meningitis and 55 non-CSF S. agalactiae strains—34 vaginal and 21 from gastric fluids—isolated from asymptomatic pregnant women and neonates, respectively. The 109 strains were classified into two populations. The first population was composed of 63 strains of various origins and of all the electrophoretic types containing strains isolated from neonatal CSF. The second population of strains was composed of 46 strains isolated from vaginal and gastric samples but belonging to electrophoretic types that did not contain strains from CSF. The first population of strains can therefore be considered to represent strains associated with a high risk of neonatal CNS infection (HR group) and the second population to represent strains associated with a low risk of neonatal meningitis (LR group).

    Strains were serotyped with a commercial latex agglutination kit (Pastorex Strepto BI, BII, and BIII; Bio-Rad Laboratories) and by a previously described molecular serotype identification method (22). Twenty-seven strains were of serotype I, 17 of serotype II, 56 of serotype III, and 9 of other serotypes.

    Forty-two strains isolated between 2002 and 2005 from CSF samples of neonates with meningitis were also studied. These strains were sent to our laboratory from various regions of France and were isolated on different dates; they were therefore epidemiologically unrelated and comprised serotypes I (n = 4), III (n = 37), and V (n = 1).

    Detection of genetic markers of virulent S. agalactiae strains. As previously shown, strains able to invade the CNS of neonates significantly more frequently possess one or more of three genetic markers than other strains (3, 34, 35). Two are mobile genetic elements, i.e., the GBSi1 group II intron downstream from the C5a-peptidase scpB gene and IS1548 in the hylB gene, encoding a hyaluronate lyase (3, 34). The third marker is a single and specific cluster of tRNA genes at the 3' end of the rRNA operons that have a 200-bp deletion (in comparison with the tRNA gene clusters in strains associated with a low risk of meningitis) (35). We tested for the presence of the GBSi1 intron group II downstream from the scpB gene by PCR using the GBSi1.rev (5'-GTGATAGATTCCCGCCTTGA-3') and SGB.scpB.for (5'-AGCCATATGCTGCGATCTCT-3') primers (product size, 2,175 bp) and for IS1548 in the hylB gene by PCR using the IS1548.for (5'-GCCGTCAAAGGAAATCAAGA-3') and SGB.hyl.rev (5'-GGCGCCAGTATAAGGAACAT-3') primers (product size, 1,112 bp) as previously described (3). The nature of the tRNA gene clusters at the 3' end of the seven rRNA operons was determined by PCR using the T7-B2 (5'-CCTAGGAAATACACCTGTTCTCATGCC-3') and SP6-B2 (5'-AACCTTGTCTTTTAAAGTATACCGGCT-3') primers. The presence of the single specific tRNA gene cluster at the 3' end of the rRNA operons was demonstrated by amplification of a single DNA fragment of 1.2 kb with these primers as previously described (35); this fragment is referred to here as tRNA 1.2.

    Determination of metabolic profiles. We determined metabolic profiles with the Biolog system (Biolog Inc., Hayward, California). This system is generally used for identification and tests the ability of a microorganism to oxidize a panel of 95 different carbon sources. Tests were performed in standard 96-well microplates containing a dried film of 95 different carbon sources and one negative control. Each well contained a redox dye (tetrazolium violet) for colorimetric determination of respiration due to cells oxidizing the carbon source. We used the Biolog GP2 microplate (AES Laboratories, France), which is designed for the identification of gram-positive bacteria (29), according to the procedure recommended by the manufacturer (Biolog Inc., Hayward, California). All strains were stored at –80°C with the Cryobeads system (AES Laboratories, France). They were first cultured on sheep's blood agar (Trypticase soy agar with 5% sheep's blood; bioMerieux, Marcy l'Etoile, France) for 24 h at 37°C. One colony was picked from the primoculture with a cotton swab and subcultured on BUGB medium (Biolog universal growth medium containing 5% sheep's blood; AES Laboratories, France) by incubation overnight at 37°C. Cells were harvested using sterile cotton swabs and suspended in 20 ml of 0.85% NaCl (AES Laboratories, France). The cell density was adjusted to 20% of transmittance with a 2% range as assessed using a photometer model according to the range specified by the manufacturer. Thioglycolate (AES Laboratories, France) was added to the suspension at a final concentration of 5 mM to inhibit the production of a bacterial capsule. An aliquot of 150 μl of the suspension was immediately dispensed into each well of the GP2 microplate with a multichannel pipette. The plate was incubated at 37°C for 24 h.

    Interpretation of metabolic profiles. Microplates were read at two wavelengths (590 nm and 750 nm) with a computer-controlled microplate reader. Reactions were interpreted as positive or negative by the Biolog MicroLog 3 software, release 4.20 (Biolog Inc.). Statistical significance was calculated by means of the chi-square test.

    RESULTS

    Identification of carbon sources that discriminate S. agalactiae strains of the HR group from those of the LR group. One hundred nine strains isolated between 1986 and 1990 were tested for 95 carbon sources: 22 of the 95 were positive and 46 negative for all strains. Of the 27 remaining substrates, 4 significantly discriminated the HR group from the LR group: these 4 substrates were -methyl-D-glucoside, D-ribose, -D-glucose-1-phosphate, and D,L--glycerol phosphate, herein referred to as D1, D7, H10, and H12, respectively, on account of their positions on the Biolog microplate (Table 1) . The strains of the HR group were less able to use one or more of these four carbon sources than strains of the LR group.

    Determination of the biotypes and distribution of HR and LR strains among biotypes. The 109 strains tested were classified into 15 biotypes, referred to as B1 to B15 according to their oxidation of substrates D1, D7, H10, and H12, which distinguished the HR group from the LR group (Table 2). Fifty-eight of the 63 strains of the HR group (92%) were found in six biotypes (B1 to B6) and 25 of the 46 strains of the LR group (54%) belonged to the other nine biotypes (B7 to B15). Strains associated with a high risk of meningitis were therefore significantly linked to biotypes B1 to B6 (P < 0.001). The strains belonging to these biotypes were 13 times more likely than strains of biotypes B7 to B15 to be associated with a high risk of meningitis (odds ratio = 13.84 [4.26 to 47.71]). The positive and negative predictive values for a strain with a biotype from B1 to B6 belonging to a group associated with a high risk of neonatal meningitis were 0.73 and 0.83, respectively. Biotype B1, composed of strains unable to utilize any of the four substrates, was the most predictive (43% of HR group strains were in B1 and only 5% of the LR group strains).

    Correlation between biotypes and the presence of genetic markers of strains associated with a high risk of meningitis. We tested all strains for a copy of IS1548 in the hylB gene, for the GBSi1 group II intron downstream from the scpB gene, and for a specific and unique tRNA gene cluster at the 3' end of the rRNA operons (tRNA 1.2). Six genetic patterns were observed based on these three genetic markers (Table 3) . The presence of one or more of the three markers was significantly more frequent in strains of the HR group (54/63 strains; 86%) than in strains of the LR group (26/46 strains; 56%) (P < 0.001), consistent with the previous finding that these markers are prevalent in strain populations associated with a high risk of neonatal meningitis (34, 35). Accordingly, the presence of one or more of the three genetic markers was more prevalent in biotypes B1 to B6 (63/79 strains; 80%) than in biotypes B7 to B15 (17/30 strains; 57%) (P = 0.015).

    Biotypes and recent strains associated with neonatal meningitis. We biotyped 42 CSF strains isolated between 2002 and 2005 inclusive. Forty (95%) of these strains contained one or more of the three genetic markers (IS1548 in the hylB gene, a group II intron GBSi1 downstream from the scpB gene, and tRNA 1.2) (Table 3). The most frequent pattern was the association of tRNA 1.2 and the GBSi1 intron downstream from the scpB gene. This pattern was found in 67% (28/42) of these recent strains but in only 43% (27/63) of the CSF strains of the HR group isolated between 1986 and 1990.

    Thirty-six of the 42 recently isolated CSF strains (86%) were in biotypes B1 to B6. Most belonged to two biotypes: 26 were in biotype B1 (62%), and 6 were in biotype B5 (14%) (Table 2). These two biotypes were also major biotypes in the collection of 109 strains of the HR group isolated between 1986 and 1990 in France (Table 2): 27 were in biotype B1 (43%), and 14 were in biotype B5 (22%). There was therefore no significant difference in the distribution of strains among the biotypes for the CSF strains isolated in the two periods, which were separated by about 15 years (P = 0.235).

    DISCUSSION

    S. agalactiae is a major cause of serious bacterial disease in neonates. We used the Biolog system to explore the ability of 109 S. agalactiae strains to oxidize a panel of 95 carbon sources to find metabolic differences between a population of strains able to invade the CSF of neonates (HR group of strains) and a population associated with a low risk of meningitis (LR group of strains). These two populations were defined on the basis of anatomical origin and the results of a phylogenetic study by MLEE. MLEE has been successfully used in studies of population genetics (40) and was the first method to identify intraspecies genetic subgroups of S. agalactiae strains able to invade the CNS of neonates (31, 33). More recent studies of specifically CSF strains with molecular tools have confirmed the findings of MLEE (34, 35, 42). For example, one of the CSF strains identified as a high-virulence isolate by MLEE (31, 33) was confirmed by multilocus sequence typing as the ST-17 clone (20). Based on these previous classifications of the species, we believe that the two populations of strains used in this study accurately represent strains associated with a high risk of causing meningitis (HR group) and strains associated with a low risk of causing meningitis (LR group).

    We found that high-risk strains (HR group) were significantly less able than low-risk strains (LR group) to use -D-glucose-1-phosphate, D-ribose, -methyl-D-glucoside, and D,L--glycerol phosphate, and none of the 95 substrates were better used by the HR group than by the LR group (Table 1). The adaptation of a pathogen's metabolism to its environment can provide it with an advantage for growth, survival, and virulence (2, 6, 11, 21). The loss of catabolic function by S. agalactiae strains observed here may be the result of genetic processes that have improved the organism's adaptation to conditions that generate neonatal meningitis. Catabolic losses have been observed during specialization of Escherichia coli (8): in this species, the loss of the capacity to use D-ribose, one of the four carbon sources we found to be used by fewer HR than LR S. agalactiae strains, can be a result of deletions that confer a selective advantage in minimal glucose medium (7). Genomic deletions causing loss of catabolic function may also enhance the virulence of bacteria by suppressing a product that inhibits virulence, as demonstrated for Shigella species. Indeed, the virulence of Shigella spp., a group which evolved from E. coli, results from the acquisition of a plasmid that encodes virulence functions and also from a deletion of the cadA gene, which encodes the lysine decarboxylase enzyme; this enzyme is involved in the synthesis of cadaverine, which is a potent inhibitor of Shigella enterotoxin activity (9, 26). Similarly, the acquisition of plasmids pP1a and pMT1 is not sufficient to explain the high virulence of Yersinia pestis. The rapid emergence of Y. pestis from Y. pseudotuberculosis, a species that has all the extra genes that Y. pestis needs for virulence, seems to be a consequence of genetic disruptions causing the loss of various metabolic and catabolic functions; such genetic disruptions are associated with the adaptation of the bacteria to diverse hosts (45). These genetic disruptions from Y. pestis seem to have arisen when insertion sequence (IS) elements causing significant genome rearrangements were introduced into the genome (45). We recently demonstrated that acquisition of IS elements and the GBSi1 intron by S. agalactiae isolates probably contributed to the emergence of virulent clones, such as the MLST clone ST-17 (17). Therefore, as suggested by work with the Yersiniae model (45), the acquisition by horizontal transfer of novel sequences associated with ongoing genetic disruptions responsible for the loss of catabolic function may explain the emergence of strains of S. agalactiae able to invade the CNS of neonates. This view is reinforced by the high prevalence of mobile elements in two genes (IS1548 in the hylB gene and GBSi1 intron group II downstream from the scpB gene [15, 34]) and genome decay in the tRNA gene cluster (a unique and specific cluster of tRNA genes at the 3' end of the rRNA operons [35]) that we found in the population of strains belonging to biotypes B1 to B6 (Table 3). In addition, by using the same HR and LR groups of strains, we recently demonstrated that prophagic DNA elements were significantly more prevalent in strains of HR groups than in strains of LR groups (43). Therefore, a link between a high frequency of horizontal genetic transfer and catabolic loss in S. agalactiae strains able to invade the CNS of neonates could be hypothesized. Nevertheless, the nature of the link between catabolic loss, the acquisition of mobile genetic elements and genomic deletions, and the fitness of the S. agalactiae strains remain to be elucidated, and the genetic mechanisms responsible for the catabolic loss need to be demonstrated.

    We defined 15 biotypes of S. agalactiae on the basis of the oxidation of -D-glucose-1-phosphate, D-ribose, -methyl-D-glucoside, and D,L--glycerol phosphate assessed using the Biolog system. Six of these biotypes (B1 to B6) included HR isolates; the positive predictive value for classifying a strain in biotypes B1 to B6 was 0.73, and the negative predictive value for belonging to the HR group was 0.83. In addition, most of the recently isolated CSF strains (86%) were of biotypes B1 to B6. Several strategies have been developed for the prevention of perinatal group B streptococcus infections. One is based on the assessment of risk factors at the onset of labor (particularly delivery prior to 37 weeks of gestation, intrapartum temperature of at least 38°C, and rupture of membranes for more than 18 h) that are considered as indicative of the need for antibioprophylaxis (4). Some authors recommend prenatal culture-based screening for S. agalactiae colonization for all pregnant women and intrapartum chemoprophylaxis by intravenous administration of antibiotics for all women who are colonized (1, 37, 38). This approach is >50% more effective than the risk-based approach for preventing perinatal S. agalactiae disease (37) but may have adverse effects. Excessive exposure of the mother and child to antibiotics may lead to the emergence of more-resistant and/or more-virulent pathogens, severe allergic reactions, and, in the long term, ecological disturbance of the natural flora and even abnormal immunological development in the children (1, 14, 28, 30). It would be beneficial to restrict intrapartum and neonatal antibioprophylaxis, especially when the colonized mother has no risk factor and/or when the colonized neonate has no symptoms. New strategies using simple and practical tools, such as biotyping of strains as described here, could contribute to the accurate evaluation of the risk of meningitis and would therefore be valuable for clinical studies.

    Such a tool may be also used to help in the diagnosis of neonatal infection. Indeed, such diagnosis is difficult because of the poor specificity of clinical symptoms and the difficulty of obtaining CSF from neonates (13, 23). Biotyping of S. agalactiae strains isolated in cases with risk factors of infection or suspected of infection can provide additional microbiological evidence for evaluating the pathogenicity of the isolated bacteria. Biotyping would then constitute one of the elements of the decision to sample the CSF of neonates and to adapt the dosage and duration of antibiotic treatment appropriately.

    The Biolog system is a simple commercial tool used for the identification of bacteria. Our results indicate that it may also be used to help evaluate the risk of meningitis when an S. agalactiae strain is isolated from the vagina of a pregnant woman or from the gastric fluid or blood culture of a newborn infant. Microplates specially adapted for S. agalactiae biotyping could be developed with the objective of reducing the duration of incubation to, for example, 4 h.

    ACKNOWLEDGMENTS

    This research was supported by grants from the Ministere de l'education nationale, de l'enseignement superieur et de la recherche to R. Quentin and from the Centre Hospitalier de Tours to R. Quentin and N. van der Mee-Marquet.

    There are no conflicts of interest resulting from arrangements, support, and consultation fees from Biolog Company.

    FOOTNOTES

    Corresponding author. Mailing address: Equipe d’Accueil 3854, Institut Federatif de Recherche 136 "Bacteries et risque maternofoetal," UFR Medecine, Universite Franois-Rabelais de Tours, 2 bis Boulevard Tonnelle, 37032 Tours Cedex, France. Phone: 33 2 47 47 81 13. Fax: 33 2 47 47 85 30. E-mail for Roland Quentin: quentin@med.univ-tours.fr. E-mail for Anne-Sophie Domelier: as.domelier@chu-tours.fr.

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