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Genome Sequences of Three Methicillin-Resistant Staphylococcus aureus Strains Isolated from Subclinical Mastitic Cows

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22 April 2025

Posted:

23 April 2025

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Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) in bovine milk poses a significant zoonotic and antimicrobial resistance threat. This study identifies three MRSA strains from subclinical mastitic (SCM) cow milk, carrying resistance genes to β-lactams, lincosamides, macrolides, streptogramin B, and aminoglycosides, underscoring the urgent need for improved hygiene and surveillance in dairy production.
Keywords: 
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Methicillin-resistant Staphylococcus aureus (MRSA) in bovine milk poses a significant threat to both animal and public health due to its antimicrobial resistance and zoonotic potential (1). Its presence in raw and pasteurized milk increases the risk of clinical management and human transmission, especially among those in close contact with dairy animals or consuming unpasteurized products (2, 3). These concerns underscore the urgent need for improved hygiene practices and robust surveillance in the dairy industry to mitigate MRSA spread. Three subclinical mastitis (SCM) milk samples were collected from the Cumilla district, Bangladesh, and inoculated on 5% bovine blood agar followed by subculture of characteristic colony on Mannitol Salt Agar with incubation at 37 ℃ for 24 h. Staphylococus aureus was confirmed by subsequent Gram staining, biochemical, and nuc gene specific PCR. Antimicrobial sensitivity profiling using twelve antimicrobials representing different classes including oxacillin and cefoxitin resulted in multidrug resistance. Genomic DNA was extracted from 2 to 3 isolated colony on 5% bovine Blood Agar using an AllPrep Bacterial DNA/RNA/Protein Kit (Qiagen, Hilden, Germany), and purity was assessed with a Nanodrop One (Thermo Fisher Scientific, MA, USA). DNA libraries were prepared using the Nextera XT DNA Library Preparation Kit (Illumina, CA, USA). Genome sequencing was conducted on an Illumina NextSeq2000 platform generating 2 × 150 bp paired end reads. Raw data quality, including read quality, GC content, and adapter contamination, was assessed using FastQC v0.12.1 (4). Trim Galore v0.6.5dev (5) was employed to trim low-quality bases and adapter sequences, followed by normalization of read coverage with bbnorm v39.08 (6) to reduce redundancy. De novo genome assembly was performed using Unicycler v0.4.8 (7) with subsequent polishing using Pilon v1.24 (8) to enhance accuracy. Genome assembly quality was assessed using QUAST v5.2.0 (9), while Samtools v1.13 (10) was used for alignment file manipulation and indexing. The de novo genome assembly conducted through the BV-BRC (11) comprising the abovementioned tools yielded coverage ranging from 146× to 339×, with raw reads between 3,035,549 and 6,710,480. The assembled genomes were annotated using the National Center for Biotechnology Information Prokaryotic Genome Annotation Pipeline (PGAP) v6.9 (12) and PATRIC (13) with the in-built RASTtk pipeline to identify the species, Staphylococcus aureus. Transport proteins were identified via TCDB (14), drug targets using DrugBank v6.0 (15), and additional analyses performed for CRISPR arrays and prophages using CRISPR CasFinder (16), plasmids using PlasmidFinder 2.1 (17) and integrative and conjugative elements using ICEFinder (18). All software parameters were set to default, unless specified otherwise. Detailed genomic characteristics are provided in Table 1.
Antimicrobial resistance genotypes were identified using ResFinder 4.6.0 (19). Acquired and chromosomal resistance genes were identified in all three MRSA strains. Methicilin resistant mecA gene and resistance to β-lactam antibiotics were present in all three strains. Additionally, resistance to lincosamide, macrolide, streptogramin b and aminoglycoside were found in BioB-3 and BioB-4 strains (Table 1). This study highlights the need for effective surveillance and control measures to prevent the spread of MRSA within dairy herds and to humans.

Data Availability

The accession numbers for the genomes of the three Staphylococcus aureus strains are shown in Table 1. All genomes are available under BioProject accession number PRJNA1190104.

References

  1. González-Machado C, Capita R, Alonso-Calleja C. 2024. Methicillin-Resistant Staphylococcus aureus (MRSA) in Dairy Products and Bulk-Tank Milk (BTM). Antibiotics 13:588. [CrossRef]
  2. Titouche Y, Akkou M, Houali K, Auvray F, Hennekinne J. 2022. Role of milk and milk products in the spread of methicillin-resistant Staphylococcus aureus in the dairy production chain. Journal of Food Science 87:3699–3723. [CrossRef]
  3. Schnitt A, Tenhagen B-A. 2020. Risk Factors for the Occurrence of Methicillin-Resistant Staphylococcus aureus in Dairy Herds: An Update. Foodborne Pathogens and Disease 17:585–596. [CrossRef]
  4. Andrews S. 2010. FastQC: a quality control tool for high throughput sequence data. Available from: https://wwwbioinformaticsbabrahamacuk/projects/fastqc.
  5. Krueger F. 2019. A wrapper tool around Cutadapt and FastQC to consistently apply quality and adapter trimming to FastQ files, with some extra functionality for MspI-digested RRBS-type (Reduced Representation Bisufite-Seq) libraries. Available from: https:// wwwbioinformaticsbabrahamacuk/projects/trim_galore.
  6. Bushnell B. 2017. BBNorm: normalize coverage by down-sampling reads over high-depth areas of a genome, to result in a flat coverage distribution. Department of Energy, Joint Genome Institute, CA, USA. Available from: https://jgidoegov/data-and-tools/software-tools/ bbtools/bb-tools-user-guide/bbnorm-guide.
  7. Wick RR, Judd LM, Gorrie CL, Holt KE. 2017. Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 13:e1005595. [CrossRef]
  8. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A, Sakthikumar S, Cuomo CA, Zeng Q, Wortman J, Young SK, Earl AM. 2014. Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement. PLoS ONE 9:e112963. [CrossRef]
  9. Gurevich A, Saveliev V, Vyahhi N, Tesler G. 2013. QUAST: quality assessment tool for genome assemblies. Bioinformatics 29:1072–1075. [CrossRef]
  10. Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V, Pollard MO, Whitwham A, Keane T, McCarthy SA, Davies RM, Li H. 2021. Twelve years of SAMtools and BCFtools. GigaScience 10:giab008. [CrossRef]
  11. Olson RD, Assaf R, Brettin T, Conrad N, Cucinell C, Davis JJ, Dempsey DM, Dickerman A, Dietrich EM, Kenyon RW, Kuscuoglu M, Lefkowitz EJ, Lu J, Machi D, Macken C, Mao C, Niewiadomska A, Nguyen M, Olsen GJ, Overbeek JC, Parrello B, Parrello V, Porter JS, Pusch GD, Shukla M, Singh I, Stewart L, Tan G, Thomas C, VanOeffelen M, Vonstein V, Wallace ZS, Warren AS, Wattam AR, Xia F, Yoo H, Zhang Y, Zmasek CM, Scheuermann RH, Stevens RL. 2023. Introducing the Bacterial and Viral Bioinformatics Resource Center (BV-BRC): a resource combining PATRIC, IRD and ViPR. Nucleic Acids Research 51:D678–D689. [CrossRef]
  12. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP, Zaslavsky L, Lomsadze A, Pruitt KD, Borodovsky M, Ostell J. 2016. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res 44:6614–6624. [CrossRef]
  13. Wattam AR, Davis JJ, Assaf R, Boisvert S, Brettin T, Bun C, Conrad N, Dietrich EM, Disz T, Gabbard JL, Gerdes S, Henry CS, Kenyon RW, Machi D, Mao C, Nordberg EK, Olsen GJ, Murphy-Olson DE, Olson R, Overbeek R, Parrello B, Pusch GD, Shukla M, Vonstein V, Warren A, Xia F, Yoo H, Stevens RL. 2017. Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center. Nucleic Acids Res 45:D535–D542. [CrossRef]
  14. Saier MH, Reddy VS, Moreno-Hagelsieb G, Hendargo KJ, Zhang Y, Iddamsetty V, Lam KJK, Tian N, Russum S, Wang J, Medrano-Soto A. 2021. The Transporter Classification Database (TCDB): 2021 update. Nucleic Acids Research 49:D461–D467. [CrossRef]
  15. Knox C, Wilson M, Klinger CM, Franklin M, Oler E, Wilson A, Pon A, Cox J, Chin NE (Lucy), Strawbridge SA, Garcia-Patino M, Kruger R, Sivakumaran A, Sanford S, Doshi R, Khetarpal N, Fatokun O, Doucet D, Zubkowski A, Rayat DY, Jackson H, Harford K, Anjum A, Zakir M, Wang F, Tian S, Lee B, Liigand J, Peters H, Wang RQ (Rachel), Nguyen T, So D, Sharp M, da Silva R, Gabriel C, Scantlebury J, Jasinski M, Ackerman D, Jewison T, Sajed T, Gautam V, Wishart DS. 2024. DrugBank 6.0: the DrugBank Knowledgebase for 2024. Nucleic Acids Research 52:D1265–D1275. [CrossRef]
  16. Couvin D, Bernheim A, Toffano-Nioche C, Touchon M, Michalik J, Néron B, Rocha EPC, Vergnaud G, Gautheret D, Pourcel C. 2018. CRISPRCasFinder, an update of CRISRFinder, includes a portable version, enhanced performance and integrates search for Cas proteins. Nucleic Acids Research 46:W246–W251. [CrossRef]
  17. Carattoli A, Zankari E, García-Fernández A, Voldby Larsen M, Lund O, Villa L, Møller Aarestrup F, Hasman H. 2014. In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing. Antimicrob Agents Chemother 58:3895–3903. [CrossRef]
  18. Gonçalves OS, De Assis JCS, Santana MF. 2022. Breaking the ICE: an easy workflow for identifying and analyzing integrative and conjugative elements in bacterial genomes. Funct Integr Genomics 22:1139–1145. [CrossRef]
  19. Bortolaia V, Kaas RS, Ruppe E, Roberts MC, Schwarz S, Cattoir V, Philippon A, Allesoe RL, Rebelo AR, Florensa AF, Fagelhauer L, Chakraborty T, Neumann B, Werner G, Bender JK, Stingl K, Nguyen M, Coppens J, Xavier BB, Malhotra-Kumar S, Westh H, Pinholt M, Anjum MF, Duggett NA, Kempf I, Nykäsenoja S, Olkkola S, Wieczorek K, Amaro A, Clemente L, Mossong J, Losch S, Ragimbeau C, Lund O, Aarestrup FM. 2020. ResFinder 4.0 for predictions of phenotypes from genotypes. Journal of Antimicrobial Chemotherapy 75:3491–3500. [CrossRef]
Table 1. Genomic features of the sequenced three Staphylococcus aureus strains isolated from subclinical mastitic cows in Cumilla, Bangladesh.
Table 1. Genomic features of the sequenced three Staphylococcus aureus strains isolated from subclinical mastitic cows in Cumilla, Bangladesh.
Strain name BioB-2 BioB-3 BioB-4
Information title
Species Staphylococcus aureus Staphylococcus aureus Staphylococcus aureus
Genome submission ID SUB14894378 SUB14894378 SUB14894378
Bioproject ID PRJNA1190104 PRJNA1190104 PRJNA1190104
BioSample accession number SAMN45025667 SAMN45025668 SAMN45025669
SRA accession number SRS23333889 SRS23333890 SRS23333891
Genome assembly accession number GCA_047604675.1 GCA_047604515.1 GCA_047604495.1
GenBank accession number JBJLRB000000000 JBJLRA000000000 JBJLQZ000000000
FastQC Phred score 34 34 34
Raw reads 6,710,480 4,498,755 3,035,549
Coverage 339x 219x 146x
Contig count 31 21 41
Coarse consistency (%) 100 100 100
Fine consistency (%) 99.7 99.7 99.7
Completeness (%) 100 100 100
Contamination (%) 0 0 0
Genome size (bp) 2,761,071 2,782,581 2,797,289
Contigs N50 (bp) 219,219 329,157 137,483
Contigs L50 5 4 5
Largest contig (bp) 402,935 536,524 380,235
Guanine–cytosine content (%) 32.75696 32.72947 32.637028
Genes (Total), PGAP 2,763 2,791 2,799
CDS (PGAP; PATRIC) 2,641; 2,606 2,668; 2,624 2,634; 2670
tRNA 55 55 57
rRNA 4 4 4
CDS ratio 0.9438366 0.9430094 0.9544956
Hypothetical CDS 510 507 568
Hypothetical CDS ratio 0.2943208 0.29115853 0.31722847
PLFAM CDS 2,540 2,557 0
PLFAM CDS ratio 0.9746738 0.97446644 -
Hypothetical proteins 513 507 570
Proteins with functional
assignments
2,093 2,115 2,100
Proteins with EC number assignments 735 737 740
Proteins with GO assignments 607 609 613
Proteins with pathway assignments 532 533 536
Proteins with subsystem assignments 975 973 974
Proteins with PATRIC genus-specific family (PLfam) assignments 2,540 2,557 0
Proteins with PATRIC cross-genus family (PGfam) assignments 2,573 2,593 2,629
Proteins with FIGfam assignments 0 0 0
Transporter (TCDB) 98 99 100
Drug target (DrugBank) 33 36 34
Antibiotic resistance genes (PATRIC) 39 40 40
ResFinder 4.6.0 (acquired; chromosomal) str, mecA; 23S, dfrB, fusA, grlA, grlB, gyrA, ileS, pbp2, pbp4, rpoB, pbp4-promoter mecA, blaZ, erm(C); 23S, dfrB, fusA, grlA, grlB, gyrA, ileS, pbp2, pbp4, rpoB, pbp4-promoter mecA, blaZ; 23S, dfrB, fusA, grlA, grlB, gyrA, ileS, pbp2, pbp4, rpoB, pbp4-promoter
AMR phenotype class β-lactam β-lactam, lincosamide, macrolide, streptogramin b β-lactam, aminoglycoside
Plasmid finder 2.1 rep7a (contig23: 2056..2895) rep5a (contig13: 16621..17481), rep16(contig13: 18772..19515), rep10(contig18: 1881..2356) repUS5(contig21: 33881..35455), rep21(contig21: 4961..5956)
Integrative and conjugative elements (ICEs) 1(2745519..2754895, 9377 bp) 1(2111899..2114925, 3027 bp) 2 (2759741..2794168, 34428bp; 1058307..1163904, 105598 bp)
No. of clustered interspaced short repeats (CRISPR) (number of cas clusters) (name of cas genes) 4(1) (cas4_Type IA) 6(1) (cas4_Type IA) 8(1) (cas3_TypeI)
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