Previous Article | Next Article ![]()
Journal of Bacteriology, March 2002, p. 1430-1437, Vol. 184, No. 5
0021-9193/02/$04.00+0 DOI: 10.1128/JB.184.5.1430-1437.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.
Laboratory of Human Bacterial Pathogenesis, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana 59840
Received 24 September 2001/ Accepted 18 November 2001
|
|
|---|
= 0.96), suggesting a common cause of the decreased aconitase specific activity and the variation in percentage of beta-hemolytic colonies. The loss of the beta-hemolytic phenotype also coincided with the occurrence of mutations in the agrC coding region or the intergenic region between agrC and agrA in the derivative strains. Our results demonstrate that in vitro growth is sufficient to result in mutations within the agr operon. Additionally, our results demonstrate that S. aureus undergoes significant phenotypic and genotypic changes during serial passage and suggest that vigilance should be used when extrapolating data obtained from the study of high-passage strains. |
|
|---|
To test this hypothesis, a strain recovered from a patient with toxic shock syndrome was serially passaged for 6 weeks. Consistent with the hypothesis, aconitase activity decreased with increasing time in culture. Inasmuch as aconitase is a bifunctional protein with an enzymatic and regulatory function (1, 30) and has been postulated to be a virulence factor regulator (29), we also examined the effect of serial passage on growth and virulence factor production.
|
|
|---|
Serial passage.
Strain SA564 was plated onto TSA and grown overnight, and three bacterial colonies were isolated (Fig. 1). Each colony was inoculated into a 15-ml round-bottom tube containing 3 ml of TSB. The cultures were incubated in an environmental chamber at a 45° angle to allow for maximum aeration. Once each day for 6 weeks the bacteria were diluted 1:200 into fresh TSB, resulting in approximately 4 h of exponential-phase growth, 7 to 9 h of post-exponential-phase growth, and 11 to 13 h of stationary-phase growth. Once per week an aliquot of the bacterial culture was plated onto TSA and grown overnight, and individual colonies picked at random were inoculated into TSB. Bacterial cultures were grown for approximately 10 h and then inoculated 1:200 (normalized for growth) into fresh media, incubated for 12 h, and used for the determination of the growth yield (A600), aconitase activity, and
-toxin titer.
![]() View larger version (28K): [in a new window] |
FIG. 1. In vitro serial passage experimental design. Strain SA564 was plated onto TSA and grown overnight, and three bacterial colonies were isolated. Each colony was inoculated into a 15-ml round-bottom tube containing 3 ml of TSB. The cultures were incubated in an environmental chamber at a 45° angle to allow for maximum aeration. Once each day for 6 weeks the bacteria were diluted 1:200 into fresh TSB. Once per week an aliquot of the bacterial culture was plated onto TSA and grown overnight, and individual colonies picked at random were inoculated into TSB. Bacterial cultures were grown for ca. 10 h and then inoculated 1:200 (normalized for growth) into fresh media, incubated for 12 h, and used for the determination of growth yield (A600), aconitase activity, and alpha-toxin titer.
|
Determination of alpha-toxin titer and the percentage of beta-hemolytic colonies. To determine beta-hemolytic activity, twofold serial dilutions of culture supernatants were mixed with an equal volume of 2% washed rabbit erythrocytes in U-bottom microtiter plates. The plates were incubated at 37°C for 30 min, followed by incubation at 4°C overnight. The alpha-toxin titer is defined as the inverse of the highest dilution for which 50% of the erythrocytes remain intact after the overnight incubation (8). The percentage of beta-hemolytic colonies was determined by plating serial dilutions of exponentially growing, serially passaged cultures on TSA plates containing 5% washed rabbit erythrocytes. These plates were incubated overnight at 37°C, and the total number of colonies and the number of colonies with a beta-hemolytic phenotype were counted. For ease of description, a colony was defined as nonhemolytic when the zone of erythrocyte clearing was <0.5 mm from the edge of the colony.
Analysis of secreted and cell-associated proteins.
Culture supernatants from the parental strain and the three derivative strains obtained at week 6 were used to qualitatively determine the effect of serial passage on the level of secreted proteins. Bacteria were grown for 12 h and removed by centrifugation. The volume of culture supernatant loaded was normalized for growth (A600), and electrophoresis was performed on a 10% polyacrylamide gel (Bio-Rad). Protein bands were visualized by SYPRO Ruby staining (Genomics Solutions, Chelmsford, Mass.). Western immunoblots were performed as described elsewhere (28) with antibodies to
-toxin (Sigma) and staphylococcal enterotoxin C (SEC; IGEN International, Inc., Gaithersburg, Md.).
To determine protein A levels, bacteria from 12-h cultures (10 ml) were harvested by centrifugation, washed once with phosphate-buffered saline (PBS), resuspended in PBS (4 ml) containing 10 mM MgCl2, 50 µg of lysostaphin per ml, and 200 units of DNase. Protein concentrations were determined by the Lowry method (20). Electrophoresis was carried out as described above with 50 µg of total protein. Visualization of protein A bands was carried out with a secondary mouse anti-immunoglobulin G antibody conjugated to horseradish peroxidase.
Production of ROS. Bacteria (109 CFU/ml) were equilibrated with either 25 µM 2",7"-dihydrodichlorofluorescein (DCF) or 50 µM dihydroethidine (DE) (both from Molecular Probes, Inc., Eugene, Oreg.) for 30 to 45 min on ice. Bacteria (108 CFU/ml) were subsequently transferred to wells of a 96-well microtiter plate, and the oxidation of DCF or DE by reactive oxygen species (ROS) was measured at 37°C for 2 h by using a Spectramax Gemini microplate spectrofluorometer (Molecular Devices, Sunnyvale, Calif.). DCF fluorescence was detected by using excitation and emission wavelengths of 485 and 538 nm, respectively. For DE fluorescence, the excitation and emission wavelengths were 473 and 593 nm, respectively, and a cutoff filter was set at 530 nm. Fluorescence measurements were collected once per minute, and the Vmax was calculated as the maximum rate of fluorescence change over a 5- to 10-min period by using Softmax Pro, version 3.1, software (Molecular Devices).
Statistical analysis.
The statistical significance of physiological changes (e.g., aconitase activity) in the week 6 derivative strains relative to the parental strain was assessed with the Student's t test. To determine whether a correlation existed between two physiological parameters, a correlation coefficient (
) was calculated and the percentage covariance was determined from
2.
DNA microarray analysis. S. aureus strains were grown overnight in TSB and DNA was isolated with the Total Genomic DNA kit (Edge Biosystems, Gaithersburg, Md.) according to the manufacturer's instructions. Construction of the S. aureus microarray and DNA hybridizations were carried out as described earlier (9). The DNA microarray was constructed to represent only open reading frames greater than 100 bp in length; therefore, only deletions of greater than 100 bp in length would be detected.
DNA sequence analysis. The agr operon from agrA to RNA III was amplified by high-fidelity PCR from genomic DNA. Resultant amplicons were sequenced by using fluorescent dye terminator chemistry from both strands with the primers listed in Table 1. Sequence data was acquired on an Applied Biosystems 3700 automated sequencer, assembled using Sequencher (GeneCodes, Ann Arbor, Mich.) and analyzed by using Lasergene (DNASTAR, Madison, Wis.).
|
View this table: [in a new window] |
TABLE 1. Primers used in the sequencing of the agr operon of strain SA564 and derivative strains
|
|
|
|---|
![]() View larger version (18K): [in a new window] |
FIG. 2. Aconitase activity of S. aureus isolates and serially passaged strains. (A) Aconitase activity of clonally diverse S. aureus strains and the highly passaged laboratory strain RN6390. Data are presented as the average of triplicate determinations, and error bars represent the standard deviation. (B) Mean aconitase activity of the parental strain (SA564) and the serially passaged derivative strains over 6 weeks. The dashed line represents a linear regression through the data and is only intended to show the trend in the data. The data represent the mean aconitase activity and the standard error of the mean (SEM) for the parental strain (week 0) and three individual progeny for each week (weeks 1 to 6). (C) Depletion of citric acid from the culture media of the parental strain and the week 6 derivative strains. The data are presented as the mean and SEM for three week 6 progeny, and a representative profile for the parental strain is shown.
|
2 x 109 CFU/ml), representing a 12% (P = 0.012; n = 6) increase compared to the parental strain. However, in contrast to the results of a previous report (4), we found no significant change in the growth rate of the derivative strains relative to parental strain SA564 (Fig. 4). These data indicated that increased growth was due to an enhanced ability to acquire or more efficiently utilize available nutrients during postexponential growth. An increase in cell density during in vitro growth might also be achieved by diverting metabolites from nonessential functions, such as the production of secreted virulence factors, to growth, an idea put forth previously (4, 31).
![]() View larger version (19K): [in a new window] |
FIG. 3. Beta-hemolytic activity and growth yield inversely correlate. (A) The mean and SEM for the growth yield (A600) and beta-hemolytic activity of the parental strain (week 0) and three individual progeny for each week (weeks 1 to 6). (B) Plot of the growth yield as a function of beta-hemolytic titer.
|
![]() View larger version (16K): [in a new window] |
FIG. 4. Growth yields increase during serial passage but not growth rates. (A) Growth curve of the parental strain and three week 6 progeny. (B) The post-exponential-growth phases shown in panel A demonstrating the increase in growth yield. Note that the scale in panel B is presented as linear. The data are presented as the mean and SEM of three independent cultures and are representative of growth studies performed at least twice.
|
2 = 1.3 %), demonstrating that aconitase activity and alpha-toxin production are not linked. However, an overlay of the mean growth yields and the mean alpha-toxin titers suggested that the two parameters were correlated (Fig. 3A). Plotting the growth yield as a function of alpha-hemolytic titers revealed that an inverse correlation existed between growth yield and alpha-toxin titers (
2 = 64.1%) (Fig. 2B). Western immunoblotting confirmed a significant decrease in the production of the secreted proteins alpha-toxin and SEC in the week 6 derivative strains relative to the parental strain (Fig. 5). Secreted proteins are reciprocally regulated with cell-associated proteins, including protein A, by the agr cell density-sensing system. The level of the cell-associated protein A increased concomitantly with the decrease in secreted proteins (Fig. 5), confirming a reciprocal regulation. Taken together, these data suggest that an alteration in cell density sensing had occurred in the derivative strains during serial passage, an idea consistent with previously published observations with S. aureus (21).
![]() View larger version (31K): [in a new window] |
FIG. 5. Western blot analysis of secreted alpha-toxin and SEC and of cell-associated protein A. Western blots of supernatants from cultures of the parental strain and three week 6 progeny. The amount of culture supernatant loaded in each lane was normalized for growth. For the determination of protein A levels, 50 µg of total protein from cell-free lysates was loaded per lane.
|
Sequencing of the agr operon. Two types of nucleotide variation have been reported in the agr operon: variation that defines an agr specificity group (13, 14) and spontaneous mutations arising during genetic manipulation (21). To determine if the variation in alpha-toxin activity that occurred during serial passage correlated with nucleotide variation in agr, we sequenced the agr operon in the parental strain, 18 randomly chosen derivative strains (3 from each week of passage; beta-hemolytic phenotype not known), and week 6 progeny for which the beta-hemolytic phenotype was known (3 hemolytic and 3 nonhemolytic). No nucleotide substitutions were present in the agr operon of 13 of the 18 randomly chosen progeny or the 3 beta-hemolytic colonies from the week 6 derivative strains. In striking contrast, all three nonhemolytic week 6 derivative strains had mutations in the coding region of agrC or in the intergenic region between agrC and agrA (Fig. 6). In addition to mutations in these nonhemolytic strains, mutations were identified in 5 of 18 randomly chosen derivative strains (Fig. 6). The nonhemolytic derivative 6-2 had a point mutation at nucleotide position 416 of the agrC coding region that replaced a cytidine with an adenosine, resulting in the conversion of a serine codon (UCA) to an ochre stop codon (UAA). Nonhemolytic derivative 6-3 had a point mutation in the intergenic region between agrC and agrA, altering the predicted agrA Shine-Dalgarno region. The third nonhemolytic week 6 derivative (6-4) had a 5-nucleotide deletion (i.e., nucleotides 89 to 93 of the agrC coding sequence) that resulted in a frameshift mutation generating numerous stop codons. This nucleotide deletion was first identified in a randomly chosen derivative strain from week 5 culture 3 (the progenitor culture of 6-4), suggesting that the mutation was stable. In addition, this mutation increased the growth yield, thereby enhancing the mutant's ability to place progeny into the next generation. Similarly, the point mutation in the nonhemolytic derivative 6-2 was also found in the randomly chosen week 5 and week 6 derivatives (5-1 and 6-1, respectively), also suggesting the mutation was stable and enhanced the mutant's ability to propagate the mutation. Interestingly, all mutations were predicted to code for a truncated or mutated AgrC or to prevent the translation of agrA, and there was never more than one mutation in any derivative strain.
![]() View larger version (27K): [in a new window] |
FIG. 6. Mutations identified by DNA sequencing of the agr operon. (A) The numbers at the top of the figure refer to the nucleotide sequence position relative to the agrC start codon (+1), except the G -12 A mutation, which occurs in the putative Shine-Dalgarno site, and is relative to the agrA start site. The asterisks indicate that a particular mutation was identified more than once. (B) Summary of the nucleotide changes and predicted outcome of the mutations identified in the agr operon. The data represent the results of DNA sequencing of the agr operon from 24 derivative strains. The strain number is an arbitrary designation. Strains 5-1 and 5-2 were obtained from separate derivative cultures. NH, nonhemolytic.
|
![]() View larger version (56K): [in a new window] |
FIG. 7. Determination of the percentage of beta-hemolytic colonies during serial passage. (A) Examples of the rabbit blood agar plates used for the determination of the percentage of beta-hemolytic CFU in panel B. (B) The mean and SEM for aconitase activity and the percentage of beta-hemolytic CFU by the parental strain (week 0) and the progeny (weeks 1 to 6) are plotted for the 6 weeks of serial passage.
|
11%, P = 0.013), thus creating an intracellular environment known to inactivate aconitase (26). |
|
|---|
agr operon. Serial passage of bacteria can result in increased genomic diversity of derivative strains relative to the parental strain (3). Genomic diversity can result from the accumulation of mutations, DNA deletions or insertions, or changes in repetitive sequences. No large deletions were found that accounted for the physiologic or virulence changes in the derivative strains (data not shown). The bacterial cultures were started from single colonies, and therefore the total DNA is common to all bacteria in the culture. Hence, the possibility is remote that an insertion event would result in the gain of function (e.g., enhanced ability to acquire or utilize additional carbon sources). Thus, it is unlikely that the phenotypic changes occurred as a consequence of large DNA deletion or insertion events.
Transposon mutagenesis of S. aureus has been associated with spontaneous mutations arising in the agr operon, an observation resulting in the agr operon being described as a region of "genetic instability" (21). Our results demonstrate that genetic manipulation alone is not required to generate mutations in this region.
Our data revealed that all of the nucleotide changes that occurred were predicted to yield a truncated or mutated AgrC or to prevent the translation of agrA transcripts. All of these mutations would be expected to inactivate quorum sensing, producing pronounced phenotypic changes. These mutations decreased the production of secreted virulence factors and increased the growth yield, thereby increasing the fitness of the agr mutants, suggesting that there was selection for these mutations. However, it is reasonable to assume that some phenotypic differences are due to mutations in genes other than those encoded by agr. Evidence for in vivo selection of agr mutants has been suggested by an agr functionality screen (32). In that study, it was found that approximately 25% of 105 recent human isolates were deficient in the production of delta-toxin, indicating that agr mediated regulation was disrupted.
Implications for agr variation in vivo. S. aureus can invade epithelial cell lines resulting in apoptosis (2, 16), or it can invade and persist intracellularly (12, 33). The organism can also invade and survive in neutrophils, a situation believed to contribute to the spread of infection (12). Compared to the isogenic wild-type strain, agr mutants are internalized more efficiently by epithelial cells in vitro, are better able to persist, and do not induce apoptosis (33). agr-mediated cell density sensing reciprocally regulates the expression of cell-associated adhesion proteins and secreted virulence factors (25). Therefore, the increased uptake and persistence are likely due to an increase in the expression of cell-associated adhesion proteins (e.g., fibronectin-binding protein). Taken together, these observations suggest that in certain circumstances inactivation of agr can be advantageous to S. aureus.
During growth in aerobic conditions, mutations arise in agr (Fig. 6), creating a mixed bacterial population (e.g., beta-hemolytic and nonhemolytic). It is reasonable to assume that in a mixed population of S. aureus, a percentage of the cells express colonization factors (e.g., fibronectin-binding protein), some express secreted virulence proteins (e.g., alpha-toxin), some express neither, and some express both. A diverse bacterial population allows for mutants present in a low percentage under one set of environmental conditions to become the predominant progeny following an environmental shift. Spontaneously arising mutations within the csrR-csrS two-component virulence regulatory system in Streptococcus pyogenes significantly enhance the pathogenicity of wild-type bacteria during coinfection (7). We hypothesize, based on these observations, that mutations of agr create a mixed bacterial population and that the ecological niche and host immune, response select for the S. aureus agr variant(s) best able to adapt to a particular environment.
Conclusions. Serial passage of S. aureus caused significant phenotypic changes and alteration of the global regulator agr. Our data demonstrate that mutations in agr result in the generation of a diverse population of bacteria. We speculate that a diverse population of bacteria enhances the likelihood of subsequent selection of the S. aureus agr variant(s) most capable of surviving a specific environment. Lastly, our results demonstrate that caution should be used when data generated with high-passage strains are extrapolated to low-passage, recent clinical isolates.
|
|
|---|
This article has been cited by other articles:
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»