Draft genomes of six methicillin-resistant Staphylococcus aureus in a Philippine tertiary hospital with insights on putative antimicrobial and phage resistance mechanisms
Mark B. Carascal, Jo-Eliz M. Gonzales, Ma. Mona Joy T. Tañedo, Donna May D. Papa, Raul V. Destura, Karl Evans R. Henson

TL;DR
This study sequenced six MRSA genomes from a Philippine hospital and identified antibiotic and phage resistance traits.
Contribution
The study provides new insights into MRSA genotypes and their resistance mechanisms in a Philippine hospital setting.
Findings
Six MRSA strains were classified into distinct genotypes with SCCmec and spa types.
All strains carried antibiotic resistance genes and antiphage systems.
Findings may help improve MRSA infection control strategies.
Abstract
The genomes of six methicillin-resistant Staphylococcus aureus (MRSA) revealed CC5(ST5)-SCCmec-IVc-spa-t105-PVL+ (n = 3), CC5(ST6)-SCCmec-IVc-spa-t10002 (n = 1), CC5(ST5)-SCCmec-IVa-spa-t002 (n = 1), and CC8(ST8)-SCCmec-IVa-spa-t008-PVL+ (n = 1) genotypes. All possessed multiple antibiotic resistance genes (putative mecA and blaZ, and dfrG for cotrimoxazole-resistant strains), intact staphylococcal prophages, and putative antiphage systems. The results could aid in MRSA infection management and control.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Characteristics/ | Methicillin-resistant | |||||
|---|---|---|---|---|---|---|
| TMCC-SA1 | TMCC-SA3 | TMCC-SA5 | TMCC-SA6 | TMCC-SA8 | TMCC-SA18 | |
| Clinical isolation source | Pus | Nasal cavity | Blood | Abscess | Sputum | Wound |
| Antibiotic resistance profile (MIC | Resistant to ciprofloxacin (≥4), levofloxacin (≥4), and oxacillin (≥4) | Resistant to benzylpenicillin (≥0.5) and oxacillin (≥4) | Resistant to benzylpenicillin (≥0.5), oxacillin (≥4), and cotrimoxazole (≥320) | Resistant to benzylpenicillin (≥0.5), oxacillin (≥4), and cotrimoxazole (≥320) | Resistant to benzylpenicillin (≥0.5), oxacillin (≥4), and cotrimoxazole (≥320) | Resistant to benzylpenicillin (≥0.5) and oxacillin (≥4) |
| Raw reads | 16,769,261 | 21,507,160 | 17,900,325 | 17,208,057 | 19,513,731 | 19,688,234 |
| Assembly length (bp) | 2,821,009 | 2,760,446 | 2,791,932 | 2,820,064 | 2,820,985 | 2,733,769 |
| GC content (%) | 32.65 | 32.67 | 32.71 | 32.67 | 32.68 | 32.63 |
| Longest contig (bp) | 471,356 | 586,132 | 438,318 | 579,621 | 579,676 | 468,743 |
| Number of contigs | 40 | 34 | 31 | 37 | 34 | 29 |
| N50 (bp) | 201,442 | 145,206 | 152,015 | 173,209 | 151,856 | 290,936 |
| Average genome coverage (×) | 482.1 | 505.7 | 500.2 | 489.7 | 497.0 | 511.0 |
| Completeness (%) | 97.35 | 99.00 | 99.11 | 99.11 | 98.92 | 99.11 |
| Contamination (%) | 0.83 | 0.39 | 0.24 | 1.12 | 0.54 | 0.24 |
| Coding sequences | 2,655 | 2,540 | 2,608 | 2,647 | 2,653 | 2,514 |
| rRNA | 1 | 2 | 1 | 1 | 1 | 1 |
| Plasmids | 4 | 2 | 0 | 5 | 4 | 3 |
| Multilocus sequence type | CC8 (ST8) | CC5 (ST6) | CC5 (ST5) | CC5 (ST5) | CC5 (ST5) | CC5 (ST5) |
| SCC | IVa (2B) | IVc (2B) | IVc (2B) | IVc (2B) | IVc (2B) | IVa (2B) |
| t008 | t10002 | t105 | t105 | t105 | t002 | |
| Antibiotic resistance genes | Beta-lactams: | Beta-lactams: | Beta-lactams: | Beta-lactams: | Beta-lactams: | Beta-lactams: |
| Prophages | Three intact | Two intact | Three intact | Three intact | Three intact | One intact |
| Antiphage systems | Abi2, AbiD, Avs_II, Dodola, FS_Sma | Abi2, AbiD, AbiJ, Avs_II, Nhi, RM Type IV, RosmerTA | Abi2, AbiJ, FS_Sma, Retron_III, RM Type IIG, RosmerTA | Abi2, AbiJ, FS_Sma Retron_III, RM Type IIG, RosmerTA | Abi2, AbiJ, FS_Sma, Retron_III, RM Type IIG, RosmerTA | Abi2, FS_Sma, Retron_III, RosmerTA |
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- —Department of Science and Technology, Philippines (DOST)
- —Clinical and Translational Research Institute, The Medical City
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Taxonomy
TopicsBacteriophages and microbial interactions · Antimicrobial Resistance in Staphylococcus · Antibiotic Resistance in Bacteria
ANNOUNCEMENT
Methicillin-resistant Staphylococcus aureus (MRSA) remains a significant clinical threat in the Philippines, with recent annual reported occurrence of >40% and high rates of resistance to co-trimoxazole (1). Among the promising options to combat this pathogen are lytic bacteriophages (2, 3). However, phage resistance can also arise in highly virulent bacterial hosts (4). Thus, we analyzed the draft genomes of six clinical MRSA isolates from a Philippine tertiary hospital for the presence of putative antibiotic and phage resistance genes. The study protocol has been approved by The Medical City Institutional Review Board (GCS-Med-2023-028).
All MRSA were directly isolated from patient clinical samples (wound exudates [n = 3], respiratory samples [n = 2], blood [n = 1]) using blood agar (Thermo Scientific, USA) and purified in tryptic soy agar (TSA) (Merck, Germany). All cultures were incubated for 18–24 hours at 35℃–37°C under normal atmospheric conditions. All isolates were identified using Vitek MS Matrix-Assisted Laser Desorption-Ionization Time-of-Flight (bioMerieux, France) and tested for antibiotic resistance using Vitek 2 Compact with AST-GP67 card (bioMerieux, France). Testing was conducted at The Medical City hospital following the Clinical and Laboratory Standards Institute guidelines (5). The DNA from a single colony of overnight cultures of MRSA (in TSA) was extracted using the DNeasy Blood and Tissue kit with lysozyme (QIAGEN, Germany). Libraries were prepared using the TruSeq Nano DNA Library Preparation kit (Illumina, USA), and the genome was sequenced using NovaSeq 6000 (150bp, paired-end; Illumina, USA). Raw sequences were trimmed using BBMap v.39.01 (Q ≥28) (6), subsampled using Seqtk v.1.3-r106 (https://github.com/lh3/seqtk) to 5M reads (≈500× coverage), and de novo assembled using Unicycler v.0.5.1 (7). The quality and completeness of the assembled contigs were checked using QUAST v.5.2.0 (8) and CheckM v.1.2.3, (9) and the average coverage computed using BBMap v.39.01 (6). The assemblies were initially annotated using the Prokaryotic Genome Annotation Pipeline (10). Extended annotation and analysis were done using the baargin pipeline (11). SCCmec, spa, and multilocus sequence types were determined using SCCmecFinder v.1.2 (https://cge.food.dtu.dk/services/SCCmecFinder/), spaTyper v.0.2.1 (https://cge.food.dtu.dk/services/spaTyper/), and PubMLST (https://pubmlst.org/organisms/staphylococcus-aureus), respectively. Antibiotic resistance genes were predicted using AMRFinderPlus (12) in baargin, while prophages and the presence of known antiphage systems were inferred using PHASTEST (https://phastest.ca/) and DefenseFinder v.1.3.0 (13), respectively. Default parameters were used for the programs.
Table 1 shows that all MRSA isolates are resistant to at least two beta-lactam antibiotics. Three strains are also cotrimoxazole-resistant (TMCC-SA5, -SA6, -SA8), while one is quinolone-resistant (TMCC-SA1). The assembled genomes are between 2.73 and 2.82Mbp (97.35%–99.11% complete), with 32.63%–32.71% GC and at least 482× coverage. Contigs are between 27 and 40 with N_50_ >145 kbp, and predicted coding sequences between 2,514 and 2,655. Genotypes include CC5(ST5)-SCCmec-IVc-spa-t105-PVL^+^ (n = 3), CC5(ST6)-SCCmec-IVc-spa-t10002 (n = 1), CC5(ST5)-SCCmec-IVa-spa-t002 (n = 1), and CC8(ST8)-SCCmec-IVa-spa-t008-PVL^+^ (n = 1), all with putative mecA and blaZ (beta-lactam resistance). In comparison, the pioneer genome analysis of Philippine MRSA reported the dominance of CC30-SCCmec-IV-spa-t019-PVL^+^ (14). All cotrimoxazole-resistant strains (n = 3) possess putative dfrG. At least one intact staphylococcal prophage and four putative anti-phage systems (with Abi2 as the most common) were predicted for all isolates. The information gathered from this study could guide the local management of MRSA infections, whether using antibiotics or phage therapy.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 4Li L, Zhou M, Yu M, Ren X, Li L, Shen C, Deng C, Liu Y, Yang B. 2024. Correlation between the development of phage resistance and the original antibiotic resistance of host bacteria under the co-exposure of antibiotic and bacteriophage. Environ Res 252:118921. doi:10.1016/j.envres.2024.11892138631474 · doi ↗ · pubmed ↗
- 5Clinical and Laboratory Standards Institute. 2023. Performance standards for antimicrobial susceptibility testing. 33rd ed. M 100. CLSI, Wayne, PA, USA.
- 6Bushnell B. 2014. Bbmap: a fast, accurate, splice-aware aligner. LBNL-7065 E. Berkeley, CA (United States) Lawrence Berkeley National Lab (LBNL)
- 7Wick RR, Judd LM, Gorrie CL, Holt KE. 2017. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. P Lo S Comput Biol 13:e 1005595. doi:10.1371/journal.pcbi.100559528594827 PMC 5481147 · doi ↗ · pubmed ↗
- 8Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. doi:10.1093/bioinformatics/btt 08623422339 PMC 3624806 · doi ↗ · pubmed ↗
