P-310. Evolutionary dynamics of the Chilean-Cordobes MRSA clone allowed the emergence of new MRSA clones in Chile

Abstract Background The global spread of methicillin-resistant Staphylococcus aureus (MRSA) is associated with distinct clones predominating in specific geographical regions. Available evidence suggests that the Chilean-Cordobes clone (ChC), an ST5-SCCmecI lineage, has predominated in Chilean hospitals ever since its first description in 1998. However, we recently reported a gradual decrease in this lineage over time, with frequencies dropping from 94% (2000) to 52% (2016). To understand this clonal replacement event, we aimed to reconstruct the genomic evolution of the ChC in Latin America. Characterization of clades and sub-lineages of the ChC clone.Figure 1.Characterization of clades and sub-lineages of the ChC clone. A) Maximum clade credibility molecular clock analysis of the 596 MRSA genomes. A Bayesian molecular clock analysis was performed with BEAST using the isolation date of each genome as calibrator. The vertical lines show the scale of years. The colored strip showed the country of origin. The dots show the presence of mecA genotypes, heavy metal resistance genes (HMRGs), and SNPs in Sau1. The branches are colored based on the sub-lineage identification: ChC-I (magenta), ChC-II (orange), and ChC-III (green). B) Characterization of the ChC clades. The presence of each genetic element considered to characterize the clades are marked by a + symbol. C) Relative frequency of the ChC sub-lineages in Chile over time. The colored bars represent the relative frequency of each sub-lineage: ChC-I (magenta), ChC-II (orange), ChC-III (green), and unclassified (gray). Methods A total of 596 ChC MRSA isolates obtained from 6 Latin American countries between 1999-2018 were whole-genome sequenced and characterized using a Bayesian molecular clock analysis (MCA). Sub-lineages (SLs) observed in major divergence events were further characterized. Additionally, the frequency of each SL observed in our 1999-2018 collection was assessed in an independent group of genomes from 274 Chilean clinical MRSA isolates collected in 2022. Results Our MCA of ChC MRSA revealed 3 clades strongly related with different genomic traits, including: i) mecA genotype, ii) heavy metal resistance genes (HMRGs), and iii) changes in the Sau1 restriction-modification system (Sau1) (Fig. 1A). Each clade was classified as sub-lineage: ChC-I, ChC-II, and ChC-III (Fig. 1B). All the genomes from Argentina, Colombia, and Venezuela – countries where ChC was largely replaced - belonged to the ChC-II SL and harbored a Sau1 mutation (Fig. 1A). On the other hand, genomes obtained from Chile distributed in different SLs and exhibited a dynamic interchange over time (Fig. 1C). While between 1999-2003 most of the genomes belonged to SLs ChC-I and ChC-II, both SLs virtually disappeared in 2013-2018, period were >90% ChC genomes corresponded to ChC-III (Fig. 1C). In 2022, a majority of ChC MRSA had genomic features compatible with the ChC-III SL (Fig. 1C). Finally, the MCA revealed an evolutionary event within ChC-III dated in 2005, which was accompanied by the loss of HMRGs (Fig. 1A) Conclusion We describe the time evolution of several ChC clades, giving rise to sub-lineages that seem to play a role in the loss of dominance of the ChC MRSA clone in Chile and a consequent change in its epidemiology in the country. Disclosures José M Munita, MD, MSD: Grant/Research Support|Pfizer: Grant/Research Support

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.513
Primary Topic
Banana Cultivation and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-310. Evolutionary dynamics of the Chilean-Cordobes MRSA clone allowed the emergence of new MRSA clones in Chile

María Spencer, César A. Arias, Paul J. Planet, Patricia García et al.
Open Forum Infectious Diseases
Banana Cultivation and Research
article

P-310. Evolutionary dynamics of the Chilean-Cordobes MRSA clone allowed the emergence of new MRSA clones in Chile

María Spencer, César A. Arias, Paul J. Planet, Patricia García, Ahmed M. Moustafa, José R W Martínez, Amy Campbell, Jose Manuel Munita, Lorena Díaz, Lina Rivas, Araos Rafael
article en

Abstract

Abstract Background The global spread of methicillin-resistant Staphylococcus aureus (MRSA) is associated with distinct clones predominating in specific geographical regions. Available evidence suggests that the Chilean-Cordobes clone (ChC), an ST5-SCCmecI lineage, has predominated in Chilean hospitals ever since its first description in 1998. However, we recently reported a gradual decrease in this lineage over time, with frequencies dropping from 94% (2000) to 52% (2016). To understand this clonal replacement event, we aimed to reconstruct the genomic evolution of the ChC in Latin America. Characterization of clades and sub-lineages of the ChC clone.Figure 1.Characterization of clades and sub-lineages of the ChC clone. A) Maximum clade credibility molecular clock analysis of the 596 MRSA genomes. A Bayesian molecular clock analysis was performed with BEAST using the isolation date of each genome as calibrator. The vertical lines show the scale of years. The colored strip showed the country of origin. The dots show the presence of mecA genotypes, heavy metal resistance genes (HMRGs), and SNPs in Sau1. The branches are colored based on the sub-lineage identification: ChC-I (magenta), ChC-II (orange), and ChC-III (green). B) Characterization of the ChC clades. The presence of each genetic element considered to characterize the clades are marked by a + symbol. C) Relative frequency of the ChC sub-lineages in Chile over time. The colored bars represent the relative frequency of each sub-lineage: ChC-I (magenta), ChC-II (orange), ChC-III (green), and unclassified (gray). Methods A total of 596 ChC MRSA isolates obtained from 6 Latin American countries between 1999-2018 were whole-genome sequenced and characterized using a Bayesian molecular clock analysis (MCA). Sub-lineages (SLs) observed in major divergence events were further characterized. Additionally, the frequency of each SL observed in our 1999-2018 collection was assessed in an independent group of genomes from 274 Chilean clinical MRSA isolates collected in 2022. Results Our MCA of ChC MRSA revealed 3 clades strongly related with different genomic traits, including: i) mecA genotype, ii) heavy metal resistance genes (HMRGs), and iii) changes in the Sau1 restriction-modification system (Sau1) (Fig. 1A). Each clade was classified as sub-lineage: ChC-I, ChC-II, and ChC-III (Fig. 1B). All the genomes from Argentina, Colombia, and Venezuela – countries where ChC was largely replaced - belonged to the ChC-II SL and harbored a Sau1 mutation (Fig. 1A). On the other hand, genomes obtained from Chile distributed in different SLs and exhibited a dynamic interchange over time (Fig. 1C). While between 1999-2003 most of the genomes belonged to SLs ChC-I and ChC-II, both SLs virtually disappeared in 2013-2018, period were >90% ChC genomes corresponded to ChC-III (Fig. 1C). In 2022, a majority of ChC MRSA had genomic features compatible with the ChC-III SL (Fig. 1C). Finally, the MCA revealed an evolutionary event within ChC-III dated in 2005, which was accompanied by the loss of HMRGs (Fig. 1A) Conclusion We describe the time evolution of several ChC clades, giving rise to sub-lineages that seem to play a role in the loss of dominance of the ChC MRSA clone in Chile and a consequent change in its epidemiology in the country. Disclosures José M Munita, MD, MSD: Grant/Research Support|Pfizer: Grant/Research Support

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Houston Methodist (US), Children's Hospital of Philadelphia (US), Universidad del Desarrollo (CL), Pontificia Universidad Católica de Chile (CL), Cornell University (US), Clínica Alemana (CL), Millennium Initiative for Collaborative Research on Bacterial Resistance (CL), Methodist Hospital (US), University of Pennsylvania (US)
Openalex Percentile: Top 99%
Banana Cultivation and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.