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Article

Genome-Wide Analysis of the Temporal Genetic Changes in Streptococcus pneumoniae Isolates of Genotype ST320 and Serotype 19A from South Korea

by
Jin Yang Baek
1,†,
Sun Ju Kim
2,†,
Juyoun Shin
3,
Yeun-Jun Chung
3,4,
Cheol-In Kang
5,
Doo Ryeon Chung
1,5,
Jae-Hoon Song
1 and
Kwan Soo Ko
1,2,*
1
Asia Pacific Foundation for Infectious Diseases (APFID), Seoul 06351, Korea
2
Department of Microbiology and Samsung Medical Center, Sungkyunkwan University School of Medicine, Suwon 16419, Korea
3
Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul 03083, Korea
4
Precision Medicine Research Center, Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul 03083, Korea
5
Division of Infectious Diseases, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
*
Author to whom correspondence should be addressed.
†
Contributed equally as the first author.
Microorganisms 2021, 9(4), 795; https://doi.org/10.3390/microorganisms9040795
Submission received: 19 March 2021 / Revised: 8 April 2021 / Accepted: 8 April 2021 / Published: 10 April 2021
(This article belongs to the Section Medical Microbiology)
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Abstract

:
Since the introduction of the pneumococcal conjugate vaccine, an increase in the incidence of Streptococcus pneumoniae serotype 19A and sequence type 320 (19A-ST320) isolates have been observed worldwide including in South Korea. We conducted a genome-wide analysis to investigate the temporal genetic changes in 26 penicillin-non-susceptible 19A-ST320 pneumococcal isolates from a hospital in South Korea over a period of 17 years (1999; 2004 to 2015). Although the strains were isolated from a single hospital and showed the same genotype and serotype, a whole-genome sequencing (WGS) analysis revealed that the S. pneumoniae isolates showed more extensive genetic variations compared with a reference isolate obtained in 1999. A phylogenetic analysis based on single nucleotide polymorphisms (SNPs) showed that the pneumococcal isolates from South Korea were not grouped together into limited clusters among the 19A-ST320 isolates from several continents. It was predicted that recombination events occurred in 11 isolates; larger numbers of SNPs were found within recombination blocks compared with point mutations identified in five isolates. WGS data indicated that S. pneumoniae 19A-ST320 isolates might have been introduced into South Korea from various other countries. In addition, it was revealed that recombination may play a great role in the evolution of pneumococci even in very limited places and periods.

1. Introduction

The pathogen Streptococcus pneumoniae causes severe infections worldwide especially in infants, young children and the elderly. The polysaccharide capsule of S. pneumoniae is considered to be the most important pneumococcal virulence factor [1]. Although more than 90 serotypes have been identified in S. pneumoniae, relatively few of them are commonly associated with invasive pneumococcal diseases (IPDs) [1]. The 7-valent pneumococcal conjugate vaccine (PCV7), which targets seven serotypes (4, 6B, 9V, 14, 18C, 19F and 23F), was introduced in 2000 for immunizing children [2]. It has been replaced by PCV13, which targets six additional serotypes (1, 5, 7F, 3, 6A and 19A) and has also been approved for the prevention of IPDs and non-invasive pneumonia in adults [3]. Since the introduction of pneumococcal vaccines, the incidence of IPDs has decreased in all age groups worldwide [4].
The use of PCVs has led to a change in the serotype distribution among pneumococcal isolates [1]. After the introduction of PCV7, an increase in the occurrence of serotype 19A was particularly evident [5], which was partly due to “serotype switching” or “capsular switch” [6]. Although S. pneumoniae 19A-ST320 isolates had been reported before the introduction of PCV7 in South Korea [7], serotype 19A remained the most prevalent serotype in South Korea even after the introduction of PCV13 [8]. Among the S. pneumoniae 19A isolates, ST320 was the dominant clone in Asian countries including South Korea [8,9]. The S. pneumoniae 19A-ST320 isolates have shown multidrug resistance including penicillin resistance [7,9].
S. pneumoniae exhibits a high degree of genomic plasticity as evidenced by the degree of genomic variability between isolates; it was reported that approximately 74% of the genome is shared in common between strains as a pan-genome [10]. Whole-genome sequencing (WGS) facilitates high-resolution strain typing and can effectively identify recombination and genomic variability. WGS studies have revealed that S. pneumoniae rapidly and successfully develops various characteristics including antibiotic resistance via recombination and point mutations [6,11,12]. However, the extent to which recombination plays an important role in the evolution of pneumococci even in isolates from limited areas remains unknown.
In this study, we performed a genome-wide analysis to examine the temporal genetic changes in S. pneumoniae 19A-ST320 isolates during a period of 17 years using isolates obtained from a single tertiary-care hospital in South Korea. Our study shows that S. pneumoniae 19A-ST320 isolates have evolved dynamically via frequent point mutations and recombination.

2. Materials and Methods

2.1. Bacterial Strains and In Vitro Induction of Tigecycline-Resistant Mutants

A total of 26 S. pneumoniae isolates (two isolates per year (1999; 2004 to 2015)) were obtained from a single tertiary-care hospital in South Korea (Samsung Medical Center, Seoul, Korea) and analyzed (Table 1). They were selected from 156 isolates obtained in the institution during the study period, based on the criteria of serotype (19A), genotype (ST320) and penicillin non-susceptibility (minimum inhibitory concentration [MIC] ≥ 2 mg/L).

2.2. Serotyping and Genotyping

Serotyping of the pneumococcal isolates was determined via the capsular Quellung method using commercial antisera (Statens Serum Institut, Copenhagen, Denmark), according to the manufacturer’s instructions. The genotypes of the isolates were determined by performing multilocus sequence typing [13].

2.3. Antimicrobial Susceptibility Test

Antimicrobial susceptibility tests of S. pneumoniae isolates were performed via the broth microdilution method according to the Clinical and Laboratory Standards Institute (CLSI) [14]. S. pneumoniae ATCC 49619 and Staphylococcus aureus ATCC 29213 were used as the control strains.

2.4. Genome Sequencing and Assembly

S. pneumoniae 99-176, which was isolated in 1999, was sequenced de novo by Macrogen (Seoul, South Korea) using a PacBio RS II system (Pacific Biosciences, Menlo Park, CA, USA) after which a 20 kb single molecule real-time (SMRT) bell template library (Pacific Biosciences) was constructed. Open reading frames were predicted and annotated using Prokka (v1.13). Each predicted protein was compared against a protein database using a basic local alignment search tool for proteins (BLASTP) with a minimum cut-off of 30% identity and 80% coverage. The annotated sequence of S. pneumoniae 99-176 was deposited in the GenBank nucleotide sequence database under accession number CP063829.
To identify the genetic differences between S. pneumoniae 99-176 and the other strains, the other 25 19A-ST320 isolates were sequenced using the Illumina HiSeq 2000 Preliminary Performance Parameters (151 bp paired-end reads). The sequences of the other 25 isolates covered 99.4% to 100% of those of the strain 99-176. The reads were deposited in the NCBI Sequence Read Archive under the GenBank accession number PRJNA671606.

2.5. Prediction of Recombination Sites via Phylogenetic Analysis

To map the reads to the reference, the trimmed reads for the 178 S. pneumoniae 19A-ST320 isolates, including the 25 isolates identified in this study, were aligned against the reference genome of 99-176 using Snippy version 4.4.5 (https://github.com/tseemann/snippy/, accessed on 12 February 2021). The quality of the SNPs was checked by a threshold of 0.9 and a depth over 30 using Snippy. The whole-genome sequences of S. pneumoniae 19A-ST320 isolates, which were classified as global pneumococcal sequence cluster 1 (GPSC1), were retrieved from the website of The Global Pneumococcal Sequencing (GPS) Project (https://www.pneumogen.net/gps/, accessed on 12 February 2021) [15]; sequences of SP61 and SP64 were also included in the analysis. The whole-genome sequences of 178 strains were used to just call SNPs and were not assembled. The whole-genome core SNP alignment output from Snippy was used for a downstream phylogenetic analysis. A maximum-likelihood tree was generated using RAxML version 8.2.10 based on the SNPs with a minimum fraction of 90% among ≥20 reads [16]. To identify the regions of genetic recombination, we used Gubbins (v.2.3.4), which uses an algorithm to iteratively identify the loci containing elevated densities of base substitutions while concurrently constructing a phylogeny based on the putative point mutations outside of these regions [17]. The resulting phylogenetic tree, isolate metadata, core genome SNPs and recombination sites were visualized using Phandango version 1.3.0 [18].

3. Results

3.1. WGS Statistics

The genome of S. pneumoniae 99-176, which was determined de novo as a reference and was assembled de novo by method of HGAP3 and Quiver (Pacific Biosciences, Menlo Park, CA, USA), was found to be 2,089,994 bp in length, containing 2064 coding sequences as well as 58 tRNA and 12 rRNA genes. The sequencing statistics of the other S. pneumoniae isolates are shown in Table S1. The numbers of contigs of the isolates analyzed in this study, except for isolate 15-019, ranged from 22 to 30. A total of 237 contigs were obtained and analyzed from isolate 15-019. The reads obtained by Illumina were assembled by SPAdes v3.11.1 (http://cab.spbu.ru/software/spades/, accessed on 12 February 2021). The assembled sequence lengths of the 24 isolates except for 15-019 ranged from 2,026,658 to 2,083,098 bp, which covered 97.0% to 99.7% of the genome of isolate 99-176. The depth of coverage on the reference sequence of 99-176 was 757.164 on average, ranging from 495.246 to 1753.27. The overall G+C contents of 26 isolates were 39.52 to 39.84%.

3.2. SNPs

The SNPs of the isolates were determined via a comparison of their Illumina reads with whole-genome sequences of isolate 99-176, which were generated de novo (Table 1). As the sequences of isolate 15-019 showed a larger number of SNPs (11,542) compared with those of the other S. pneumoniae isolates included in this study, we analyzed the SNPs of 15-019 separately. The number of SNPs present in the genomes of the other 24 isolates excluding 15-019 ranged from 7 (99-192) to 2764 (07-093). The number of insertions or deletions (INDELs) were found to range from 1 to 49 in the 24 isolates, compared with the genome of isolate 99-176. Isolate 15-019 showed 90 INDELs. Based on a BLAST analysis, the genome of isolate 15-019 was the most similar to those of S. pneumoniae strains SP61 and SP64 isolated in Germany (https://www.ncbi.nlm.nih.gov/nuccore/CP018137.1/, accessed on 12 February 2021), which also showed serotype 19A and genotype ST320 [19]; using Snippy (v4.4.5), the number of SNPs between 15-019 and SP61 and SP64 were estimated to be 53 and 33, respectively.
Figure 1 shows the distribution of genes containing sequence variations. Although the rates of SNPs were less than 1% in most genes of most S. pneumoniae isolates, high genetic variations were found in certain regions of a few isolates. Genes exhibiting SNP rates of ≥4% were found in seven isolates (Figure 1). Particularly, several regions including genes containing SNP rates of ≥4% were identified in isolates 07-093 and 14-109. It was found that isolate 15-019 contained more highly variable genes compared with the other isolates.

3.3. Phylogenetic Analyses and Prediction of Recombination Sites

We analyzed the whole-genome sequences of 179 S. pneumoniae 19A-ST320 isolates including 153 isolates that belonged to GPSC1 [15].15 A phylogenetic tree based on the SNPs showed multichotomous branching with several obvious sub-clusters (Figure 2A). In the phylogenetic tree, the S. pneumoniae isolates from South Korea were not grouped into limited clusters among the isolates from several continents. Although pairs of isolates 08-114 and 12-102, 11-194 and 14-212, 04-177 and 14-109 and 99-176 and 99-192 were grouped together, the isolates from South Korea were scattered in the phylogenetic tree, unlike those from China. Several isolates from South Korea showed close relationships with the pneumococcal strains from other continents rather than Asia.
A sub-cluster including isolate 15-019, which showed markedly higher variation compared with other S. pneumoniae isolates from South Korea, is shown in Figure 2B. The sub-cluster consisted mainly of isolates from China. Two isolates from Slovenia and one isolate from Germany (SP61) were included in the sub-cluster along with two Korean isolates. Although more variable genes were identified in the whole-genome sequence of 15-019 than in that of 99-176 (a reference strain), only one putative recombination site containing a prophage gene was identified.
We next analyzed only the whole-genome sequences of the S. pneumoniae isolates from South Korea that were isolated in this study, excluding 15-019 (Figure 3). In the phylogenetic tree, isolates from the same year were not grouped together except for the isolates obtained in 1999 and no distinct clusters were identified. We predicted recombination sites in the genomes of the isolates using Gubbins (v.2.3.4) (Table 1; Figure 3). Recombination sites predicted using only isolates from Korea were nearly similar to those predicted using 279 S. pneumoniae isolates. It was predicted that recombination events occurred in 11 isolates. In the 11 S. pneumoniae isolates, 1 (04-177, 11-138 and 14-212) to 11 (07-093 and 09-125) putative recombination blocks were identified. In five isolates (11-194, 05-384, 09-125, 07-093 and 14-109), multiple genes that are presented at the top or bottom in Figure 3, were included in recombination blocks. In the five isolates, the r/m values (the number of SNPs within recombination blocks/the number of SNPs outside recombination blocks) were high; 12.98 for 09-125 and 58.33 for 07-093 (Table 1). The predicted recombination events were not associated with phylogenetic grouping.

4. Discussion

To examine the temporal genetic changes in penicillin-non-susceptible S. pneumoniae 19A-ST320 isolates, which have spread worldwide including to South Korea after the introduction of PCV7, we performed WGS for two randomly selected isolates per year from a hospital in South Korea. Despite the fact that these isolates were obtained from a single hospital and all showed the same serotype and genotype, the degree of genetic variation was much larger than expected.
By performing a phylogenetic analysis based on SNPs, we found that the isolates from South Korea did not form one or a few clades among the S. pneumoniae 19A-ST320 isolates from several continents. However, certain pneumococcal isolates from South Korea such as 06-300 and 19-019 were clustered with the isolates from China; several isolates were dispersed in the phylogenetic tree. This suggested that all 19A-ST320 isolates, whose incidence increased after the introduction of PCV7, did not disseminate in South Korea via clonal spreading. Instead, the 19A-ST320 pneumococcal isolates from South Korea may have multiple origins. Since the introduction of the vaccine, pneumococcal strains may have been steadily introduced into South Korea from foreign countries. Although the two 19A-ST320 isolates obtained in 1999 have nearly identical genomes, the possibility cannot be excluded that various 19A-ST320 strains existed even before the introduction of the vaccine and have evolved into diverse isolates via point mutations and recombination.
The characteristics of isolate 15-019 are noteworthy. The isolate showed a higher sequence variation than other pneumococcal isolates from South Korea; therefore, it was suspected that frequent genetic recombination events had taken place in 15-019. However, only one recombination in a small region was predicted to occur in isolate 15-019. Therefore, it is speculated that 15-019 or its related strains might have been introduced from a foreign country; for example, from China. In addition, isolate 06-300 was clustered together with isolate 15-019 despite the large genetic variation between the two isolates. In the genome of 06-300, no predicted recombination site was identified. Therefore, there may be no direct association between the two isolates; they or their ancestors might have been imported from different countries.
The distribution of variable genes and recombination sites showed that both point mutations and recombination might have contributed to the temporal genetic changes in S. pneumoniae 19A-ST320 isolates during the study period of 17 years. No recombination sites were predicted in 15 pneumococcal isolates from South Korea; however, the genomes of five isolates showed more SNPs within recombination blocks than outside recombination blocks. There were significant differences in the levels of genetic recombination between pneumococcal lineages although hotspots for recombination such as regions including antibiotic resistance genes showed consistency across lineages due to a common selective pressure [20,21]. Our data suggested that the frequency of recombination might have been different between pneumococcal isolates even if they belonged to the same lineage. The introduction of foreign DNA from the environment into the chromosome via transformation and homologous recombination is known to contribute more towards genetic variation than mutations [15]. It has been estimated that nearly 90% of all genetic variations in S. pneumoniae have been introduced via recombination [6]. Although only isolates from a single hospital were analyzed, our WGS data also indicated that recombination might play a great role in the evolution of pneumococci.
Three recombination sites were found in multiple isolates from South Korea (Figure 3). As the regions including recombination sites were not identical and the isolates containing the regions were not clustered together, recombination events could not have occurred in their common ancestors. Therefore, all recombination sites identified in this study might have occurred independently. In the analysis including the 19A-ST320 pneumococcal isolates of GPSC1, ancestral recombination was found to be associated with limited isolates from North America. This indicated that recombination in the 19A-ST320 lineage might occur frequently and independently.
Various genes were included in recombination blocks. First, genes involved in metabolism were identified at the site of recombination. The genes purL to purK involved in nucleotide biosynthesis and mnm genes associated with 2-thiouridine biosynthesis were found in recombination sites of 11-194 [22,23]. The mnm genes were also observed in a recombination site of 14-109. The genes required for maltose metabolism, malP to malR [24], and the genes regulating membrane fluidity, desR and desk [25], were included in recombination blocks of 14-109. The genes associated with the regulation of glutamine and glutamate metabolism in S. pneumoniae, i.e., glnR and glnA [26], were found in the recombination block of 05-384. In addition, rsmA and prmA, which encode methyltransferase, were found in the recombination site of 05-384.
A few genes known to be associated with virulence in S. pneumoniae were also identified within recombination blocks. The gene lytB_1 was found in the recombination sites of 14-109 and 11-194 [27]. The gene strH, which was found in a recombination block of 05-384, encodes exo-beta-D-N-acetylglucosaminidase, a known virulence factor in S. pneumoniae that promotes resistance to opsonophagocytic killing by human neutrophils [28].
In 14-109, the genes associated with antibiotic resistance were identified in recombination sites; sulA associated with sulfonamide resistance [29], several genes encoding enzymes involved in the peptidoglycan biosynthetic pathway and penicillin resistance such as mur genes [30] and a gene associated with vancomycin resistance in Staphylococcus aureus, graS [31].
Genetic alterations due to the recombination of penicillin-binding proteins encoded by pbp1a, pbp2x and pbp2b are known to contribute to penicillin resistance [32]. However, we could not identify the recombination of regions that contained pbp genes because we selected only penicillin-non-susceptible isolates in this study. Although the roles of the genes identified within recombination blocks are unknown, it is probable that recombination results in a variety of traits in the same clone.
In summary, we performed WGS for two randomly selected S. pneumoniae 19A-ST320 isolates per year over 17 years (1999; 2004 to 2015) from one hospital in South Korea. Despite showing the same serotype and genotype, a high degree of genetic variation was observed. A phylogenetic analysis of isolates including 19A-ST320 isolates of GSPC1 showed that several isolates from South Korea were dispersed in the constructed phylogenetic tree, suggesting that the 19A-ST320 isolates from South Korea may have multiple origins. Frequent recombination events were identified in certain isolates, indicating that recombination may play a great role in the evolution of pneumococci although the isolates were obtained from a single hospital.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/microorganisms9040795/s1, Table S1: The whole-genome sequencing statistics of 26 S. pneumoniae strains in this study.

Author Contributions

J.Y.B. and K.S.K. designed the experiments. J.Y.B., S.J.K. and J.S. performed the experiments. J.Y.B., S.J.K., J.S., Y.-J.C. and analyzed the data. Y.-J.C., C.-I.K., D.R.C. and J.-H.S. provided resources and helped to design the experiments and to analyze the data. J.Y.B., S.J.K. and K.S.K. wrote the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF) (Grant nos. 2019R1A2C2004879 and NRF-2018R1D1A1B07041096).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

Streptococcus pneumoniae isolates used in this study were obtained from the Asian Bacterial Bank (ABB) of the Asia Pacific Foundation for Infectious Diseases (APFID) (Seoul, South Korea).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Geno, K.A.; Gilbert, G.L.; Song, J.Y.; Skovsted, I.C.; Klugman, K.P.; Jones, C.; Konradsen, H.B.; Nahm, M.H. Pneumococcal Capsules and Their Types: Past, Present, and Future. Clin. Microbiol. Rev. 2015, 28, 871–899. [Google Scholar] [CrossRef] [Green Version]
  2. Song, J.H.; Dagan, R.; Klugman, K.P.; Fritzell, B. The relationship between pneumococcal serotypes and antibiotic resistance. Vaccine 2012, 30, 2728–2737. [Google Scholar] [CrossRef]
  3. Alicino, C.; Paganino, C.; Orsi, A.; Astengo, M.; Trucchi, C.; Icardi, G.; Ansaldi, F. The impact of 10-valent and 13-valent pneumococcal conjugate vaccines on hospitalization for pneumonia in children: A systematic review and meta-analysis. Vaccine 2017, 35, 5776–5785. [Google Scholar] [CrossRef] [PubMed]
  4. Moore, M.R.; Link-Gelles, R.; Schaffner, W.; Lynfield, R.; Holtzman, C.; Harrison, L.H.; Zansky, S.M.; Rosen, J.B.; Reingold, A.; Scherzinger, K.; et al. Effectiveness of 13-valent pneumococcal conjugate vaccine for prevention of invasive pneumococcal disease in children in the USA: A matched case-control study. Lancet. Respir. Med. 2016, 4, 399–406. [Google Scholar] [CrossRef]
  5. Hicks, L.A.; Harrison, L.H.; Flannery, B.; Hadler, J.L.; Schaffner, W.; Craig, A.S.; Jackson, D.; Thomas, A.; Beall, B.; Lynfield, R.; et al. Incidence of pneumococcal disease due to non-pneumococcal conjugate vaccine (PCV7) serotypes in the United States during the era of widespread PCV7 vaccination, 1998–2004. J. Infect. Dis. 2007, 196, 1346–1354. [Google Scholar] [CrossRef]
  6. Croucher, N.J.; Harris, S.R.; Fraser, C.; Quail, M.A.; Burton, J.; van der Linden, M.; McGee, L.; von Gottberg, A.; Song, J.H.; Ko, K.S.; et al. Rapid pneumococcal evolution in response to clinical interventions. Science 2011, 331, 430–434. [Google Scholar] [CrossRef] [Green Version]
  7. Pillai, D.R.; Shahinas, D.; Buzina, A.; Pollock, R.A.; Lau, R.; Khairnar, K.; Wong, A.; Farrell, D.J.; Green, K.; McGeer, A.; et al. Genome-wide dissection of globally emergent multi-drug resistant serotype 19A Streptococcus pneumoniae. BMC Genom. 2009, 10, 642. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Kim, S.H.; Chung, D.R.; Song, J.H.; Baek, J.Y.; Thamlikitkul, V.; Wang, H.; Carlos, C.; Ahmad, N.; Arushothy, R.; Tan, S.H.; et al. Asian Network for Surveillance of Resistant Pathogens (ANSORP). Changes in serotype distribution and antimicrobial resistance of Streptococcus pneumoniae isolates from adult patients in Asia: Emergence of drug-resistant non-vaccine serotypes. Vaccine 2020, 38, 6065–6073. [Google Scholar] [CrossRef] [PubMed]
  9. Shin, J.; Baek, J.Y.; Kim, S.H.; Song, J.H.; Ko, K.S. Predominance of ST320 among Streptococcus pneumoniae serotype 19A isolates from 10 Asian countries. J. Antimicrob. Chemothe. 2011, 66, 1001–1004. [Google Scholar] [CrossRef]
  10. Donati, C.; Hiller, N.L.; Tettelin, H.; Muzzi, A.; Croucher, N.J.; Angiuoli, S.V.; Oggioni, M.; Dunning Hotopp, J.C.; Hu, F.Z.; Riley, D.R.; et al. Structure and dynamics of the pan-genome of Streptococcus pneumoniae and closely related species. Genome Biol. 2010, 11, R107. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Chewapreecha, C.; Marttinen, P.; Croucher, N.J.; Salter, S.J.; Harris, S.R.; Mather, A.E.; Hanage, W.P.; Goldblatt, D.; Nosten, F.H.; Turner, C.; et al. Comprehensive identification of single nucleotide polymorphisms associated with beta-lactam resistance within pneumococcal mosaic genes. PLoS Genet. 2014, 10, e1004547. [Google Scholar] [CrossRef] [Green Version]
  12. Nakano, S.; Fujisawa, T.; Ito, Y.; Chang, B.; Matsumura, Y.; Yamamoto, M.; Suga, S.; Ohnishi, M.; Nagao, M. Penicillin-binding protein typing, antibiotic resistance gene identification, and molecular phylogenetic analysis of meropenem-resistant Streptococcus pneumoniae serotype 19A-CC3111 strains in Japan. Antimicrob. Agents Chemother. 2019, 63, e00711-19. [Google Scholar] [CrossRef] [Green Version]
  13. Enright, M.C.; Spratt, B.G. A multilocus sequence typing scheme for Streptococcus pneumoniae: Identification of clones associated with serious invasive disease. Microbiology 1998, 144, 3049–3060. [Google Scholar] [CrossRef] [Green Version]
  14. Clinical and Laboratory Standards Institute (CLSI). Performance Standards for Antimicrobial Susceptibility Testing: Twenty-Ninth Informational Supplement M100-S29; CLSI: Wayne, PA, USA, 2019. [Google Scholar]
  15. Gladstone, R.A.; Lo, S.W.; Goater, R.; Yeats, C.; Taylor, B.; Hadfield, J.; Lees, J.A.; Croucher, N.J.; van Tonder, A.J.; Bentley, L.J.; et al. The Global Pneumococcal Sequencing Consortium. Visualizing variation within Global Pneumococcal Sequence Clusters (GPSCs) and country population snapshots to contextualize pneumococcal isolates. Microb. Genom. 2020, 6, e000357. [Google Scholar]
  16. Stamataks, A. RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinfomatics 2014, 30, 1312–1313. [Google Scholar] [CrossRef]
  17. Croucher, N.J.; Page, A.J.; Connor, T.R.; Delaney, A.J.; Keane, J.A.; Bentley, S.D.; Parkhill, J.; Harris, S.R. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res. 2015, 43, e15. [Google Scholar] [CrossRef] [Green Version]
  18. Hadfield, J.; Croucher, N.J.; Goater, R.J.; Abudahab, K.; Aanensen, D.M.; Harris, S.R. Phandango: An interactive viewer for bacterial population genomics. Bioinformatics 2018, 34, 292–293. [Google Scholar] [CrossRef]
  19. Donner, J.; Bunk, B.; Schober, I.; Spröer, C.; Bergmann, S.; Jarek, M.; Overmann, J.; Wagner-Döbler, I. Complete genome sequences of three multidrug-resistant clinical isolates of Streptococcus pneumoniae serotype 19A with different susceptibilities to the myxobacterial metabolite carolacton. Genome Annouc. 2017, 5, e01641-16. [Google Scholar] [CrossRef] [Green Version]
  20. Chewapreecha, C.; Harris, S.R.; Croucher, N.J.; Turner, C.; Marttinen, P.; Cheng, L.; Pessia, A.; Aanensen, D.M.; Mather, A.E.; Page, A.J.; et al. Dense genomic sampling identifies highways of pneumococcal recombination. Nat. Genet. 2014, 46, 305–309. [Google Scholar] [CrossRef] [Green Version]
  21. Mostowy, R.; Croucher, N.J.; Hanage, W.P.; Harris, S.R.; Bentley, S.; Fraser, C. Heterogeneity in the frequency and characteristics of homologous recombination in pneumococcal evolution. PLoS Genet. 2014, 10, e1004300. [Google Scholar] [CrossRef] [Green Version]
  22. Zhang, Y.; Morar, M.; Ealick, S.E. Structural biology of the purine biosynthetic pathway. Cell Mol. Life Sci. 2008, 65, 3699–3724. [Google Scholar] [CrossRef] [Green Version]
  23. Armengod, M.E.; Moukadiri, I.; Prado, S.; Ruiz-Partida, R.; Benítez-Páez, A.; Villarroya, M.; Lomas, R.; Garzón, M.J.; Martínez-Zamora, A.; Meseguer, S.; et al. Enzymology of tRNA modification in the bacterial MnmEG pathway. Biochimie 2012, 94, 1510–1520. [Google Scholar] [CrossRef]
  24. Dippel, R.; Boos, W. The maltodextrin system of Escherichia coli: Metabolism and transport. J. Bacteriol. 2005, 187, 8322–8331. [Google Scholar] [CrossRef] [Green Version]
  25. Bortolotti, A.; Vazquez, D.B.; Almada, J.C.; Inda, M.E.; Drusin, S.I.; Villalba, J.M.; Moreno, D.M.; Ruysschaert, J.M.; Cybulski, L.E. A Transmembrane Histidine Kinase Functions as a pH Sensor. Biomolecules 2020, 10, 1183. [Google Scholar] [CrossRef]
  26. Kloosterman, T.G.; Hendriksen, W.T.; Bijlsma, J.J.; Bootsma, H.J.; van Hijum, S.A.; Kok, J.; Hermans, P.W.; Kuipers, O.P. Regulation of glutamine and glutamate metabolism by GlnR and GlnA in Streptococcus pneumoniae. J. Biol. Chem. 2006, 281, 25097–25109. [Google Scholar] [CrossRef] [Green Version]
  27. Gosink, K.K.; Mann, E.R.; Guglielmo, C.; Tuomanen, E.I.; Masure, H.R. Role of novel choline binding proteins in virulence of Streptococcus pneumoniae. Infect Immun. 2000, 68, 5690–5695. [Google Scholar] [CrossRef] [Green Version]
  28. Dalia, A.B.; Standish, A.J.; Weiser, J.N. Three surface exoglycosidases from Streptococcus pneumoniae, NanA, BgaA, and StrH, promote resistance to opotonophagocytic killing by human neutrophils. Infect. Immun. 2010, 78, 2108–2116. [Google Scholar] [CrossRef] [Green Version]
  29. Maskell, J.P.; Sefton, A.M.; Hall, L.M. Mechanism of sulfonamide resistance in clinical isolates of Streptococcus pneumoniae. Antimicrob. Agents Chemother. 1997, 41, 2121–2126. [Google Scholar] [CrossRef] [Green Version]
  30. Miyachiro, M.M.; Granato, D.; Trindade, D.M.; Ebel, C.; Paes Leme, A.F.; Dessen, A. Complex formation between Mur enzymes from Streptococcus pneumoniae. Biochemistry 2019, 58, 3314–3324. [Google Scholar] [CrossRef]
  31. Howden, B.P.; Stinear, T.P.; Allen, D.L.; Johnson, P.D.; Ward, P.B.; Davies, J.K. Genomic analysis reveals a point mutation in the two-component sensor gene graS that leads to intermediate vancomycin resistance in clinical Staphylococcus aureus. Antimicrob. Agents Chemother. 2008, 52, 3755–3762. [Google Scholar] [CrossRef] [Green Version]
  32. Zapun, A.; Contreras-Martel, C.; Vernet, T. Penicillin-binding proteins and β-lactam resistance. FEMS Microbiol. Rev. 2008, 32, 361–385. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Figure 1. Distribution of genes showing sequence variation. The colored blocks indicate the genes showing sequence variations compared with isolate 99-176. It is represented regardless of the length of the genes. The color was marked differently depending on the degree of variation. The genes showing SNP rates ≥ 4% are shown at the top of the figure. The location of the CPS locus is indicated by a blue box. SNP, single nucleotide polymorphism; CPS, capsular polysaccharide.
Figure 1. Distribution of genes showing sequence variation. The colored blocks indicate the genes showing sequence variations compared with isolate 99-176. It is represented regardless of the length of the genes. The color was marked differently depending on the degree of variation. The genes showing SNP rates ≥ 4% are shown at the top of the figure. The location of the CPS locus is indicated by a blue box. SNP, single nucleotide polymorphism; CPS, capsular polysaccharide.
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Microorganisms 09 00795 g002 550
Figure 2. (A) Phylogenetic tree and predicted recombination sites of 179 S. pneumoniae 19A-ST320 isolates based on whole-genome sequence data of 26 isolates determined in this study. Sequences of 151 isolates were retrieved from the Global Pneumococcal Sequencing (GPS) project (https://www.pneumogen.net/gps/) (accessed on 12 February 2021) and sequences of SP61 and SP64 were obtained from Germany. On the left, the phylogenetic tree constructed via RAxML based on SNPs is shown. The isolates from South Korea are represented with a red background. On the right, recombination sites are shown. Red bars indicate that recombination is ancestral, i.e., occurred at a non-terminal nod. Blue bars are shown if they appeared in one isolate. (B) A sub-cluster containing S. pneumoniae isolates 15-075 and 06-300, which are represented with a red background. GPS, global pneumococcal sequencing; RAxML, Randomized Axelerated Maximum Likelihood; SNPs, single nucleotide polymorphisms.
Figure 2. (A) Phylogenetic tree and predicted recombination sites of 179 S. pneumoniae 19A-ST320 isolates based on whole-genome sequence data of 26 isolates determined in this study. Sequences of 151 isolates were retrieved from the Global Pneumococcal Sequencing (GPS) project (https://www.pneumogen.net/gps/) (accessed on 12 February 2021) and sequences of SP61 and SP64 were obtained from Germany. On the left, the phylogenetic tree constructed via RAxML based on SNPs is shown. The isolates from South Korea are represented with a red background. On the right, recombination sites are shown. Red bars indicate that recombination is ancestral, i.e., occurred at a non-terminal nod. Blue bars are shown if they appeared in one isolate. (B) A sub-cluster containing S. pneumoniae isolates 15-075 and 06-300, which are represented with a red background. GPS, global pneumococcal sequencing; RAxML, Randomized Axelerated Maximum Likelihood; SNPs, single nucleotide polymorphisms.
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Figure 3. Phylogenetic tree and predicted recombination sites of 25 S. pneumoniae 19A-ST320 isolates analyzed in this study. The phylogenetic tree constructed via RAxML based on SNPs is shown on the left. The isolates showing the predicted recombination events are indicated with a colored background; red background indicates that the r/m value was 10 or more; blue background indicates that the r/m value was <1. A horizontal and colored bar showing the predicted recombination events is displayed for each isolate on the right. Recombination blocks predicted in multiple isolates are presented in a red color and those predicted in one isolate are presented in blue. The genes within recombination blocks including multiple genes are shown at the top and bottom of the figure. The location of the CPS locus is indicated by a purple box. RAxML, Randomized Axelerated Maximum Likelihood; SNPs, single nucleotide polymorphisms; CPS, capsular polysaccharide.
Figure 3. Phylogenetic tree and predicted recombination sites of 25 S. pneumoniae 19A-ST320 isolates analyzed in this study. The phylogenetic tree constructed via RAxML based on SNPs is shown on the left. The isolates showing the predicted recombination events are indicated with a colored background; red background indicates that the r/m value was 10 or more; blue background indicates that the r/m value was <1. A horizontal and colored bar showing the predicted recombination events is displayed for each isolate on the right. Recombination blocks predicted in multiple isolates are presented in a red color and those predicted in one isolate are presented in blue. The genes within recombination blocks including multiple genes are shown at the top and bottom of the figure. The location of the CPS locus is indicated by a purple box. RAxML, Randomized Axelerated Maximum Likelihood; SNPs, single nucleotide polymorphisms; CPS, capsular polysaccharide.
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Table
Table 1. Characteristics of the S. pneumoniae isolates analyzed in this study.
Table 1. Characteristics of the S. pneumoniae isolates analyzed in this study.
Isolate No.Isolation YearSpecimenMIC (mg/L) aNo of
SNPs b		No of INDELs bPutative Recombination Eventsr/m c
PENCROLEVMFXGFX
99-1761999Sputum2110.12<0.03----
99-1921999Sputum4110.12<0.037 1 00
04-0412004Nasopharynx2210.12<0.0334 6 00
04-1772004Blood4110.12<0.0353 11 10.86
05-3842005Sputum4210.12<0.03615 17 425.56
05-4042005Tracheal aspirate8810.12<0.0344 700
06-1012006Sputum4110.12<0.0337 700
06-3002006Sputum2210.12<0.03101 300
07-0282007Sputum4110.12<0.03190 11 00
07-0932007Pus440.50.06<0.032764 261158.33
08-0872008Ear4110.12<0.0344 500
08-1142008Sputum4210.12<0.0354 1000
09-1252009Nasopharynx4210.12<0.03479 131112.98
09-1452009Sputum2110.12<0.0344 800
10-0582010Sputum4210.12<0.0351 1000
10-2872010Sputum4210.12<0.0342 500
11-1382011Nasopharynx4110.12<0.0376 910.43
11-1942011Tracheal aspirate410.50.06<0.03748 23337.50
12-0392012Blood420.50.12<0.0378 920.30
12-1022012Ear4210.12<0.0367 700
13-0752013Pleural fluid2110.12<0.0362 900
13-1032013Blood2110.12<0.03103 1420.43
14-1092014Sputum4110.12<0.032002 49934.77
14-2122014Sputum4110.12<0.0368 1410.16
15-1232015Others2110.12<0.0386 1320.19
15-0192015Blood2110.12<0.0311,542 901ND
a MIC, minimum inhibitory concentration; PEN, penicillin; CRO, ceftriaxone; LEV, levofloxacin; MFX, moxifloxacin; GFX, gemifloxacin; ND, not determined. b The numbers of single nucleotide polymorphisms (SNPs) and insertion-deletions (INDELs) were measured via a comparison with the nucleotide sequences of isolate 99-176. c r/m, number of SNPs within recombination blocks/number of SNPs outside recombination blocks.
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Baek, J.Y.; Kim, S.J.; Shin, J.; Chung, Y.-J.; Kang, C.-I.; Chung, D.R.; Song, J.-H.; Ko, K.S. Genome-Wide Analysis of the Temporal Genetic Changes in Streptococcus pneumoniae Isolates of Genotype ST320 and Serotype 19A from South Korea. Microorganisms 2021, 9, 795. https://doi.org/10.3390/microorganisms9040795

AMA Style

Baek JY, Kim SJ, Shin J, Chung Y-J, Kang C-I, Chung DR, Song J-H, Ko KS. Genome-Wide Analysis of the Temporal Genetic Changes in Streptococcus pneumoniae Isolates of Genotype ST320 and Serotype 19A from South Korea. Microorganisms. 2021; 9(4):795. https://doi.org/10.3390/microorganisms9040795

Chicago/Turabian Style

Baek, Jin Yang, Sun Ju Kim, Juyoun Shin, Yeun-Jun Chung, Cheol-In Kang, Doo Ryeon Chung, Jae-Hoon Song, and Kwan Soo Ko. 2021. "Genome-Wide Analysis of the Temporal Genetic Changes in Streptococcus pneumoniae Isolates of Genotype ST320 and Serotype 19A from South Korea" Microorganisms 9, no. 4: 795. https://doi.org/10.3390/microorganisms9040795

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