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Published on: November 4, 2016
Draft genome sequence of Staphylococcus saprophyticus strain 3M isolated from milk of cows with subclinical mastitis
Reagan Muhwezi1, G R Neel2, Emmanuel Eilu3
1Department of Microbiology and Immunology, Kampala International University Western Campus, Ishaka, Uganda. muhwezi@kiu.ac.ug.
Objective:
This study presents the draft genome sequence of Staphylococcus saprophyticus strain 3M isolated from a cow with subclinical mastitis (SCM) in Kiruhura district, Uganda and explores the isolates resistance and virulence potential.
Data Description:
The assembled genome size was 2,791,445 bp with a 33% GC, 13 Contigs, Contig N50 2,589,240, Contig L50 1 and 2,791,440x Genome coverage. Check M analysis revealed 68.25% completeness. Average Nucleotide Identity (ANI) analysis revealed Staphylococcus saprophyticus subsp. saprophyticus ATCC 15,305 = NCTC 7292(GCA_006094355.1) as the closest type strain with an ANI of 99.52%, 87.49% assembly coverage, 93.95% type assembly coverage, confirming species-level identity and close relatedness. Screening with the Comprehensive Antibiotic Resistance Database (CARD) and the Virulence Factor Database (VFDB) revealed several genes conferring resistance to different classes of antibiotics: antibiotic tet (K)- Tetracyclines, norA, YkkCD, ANT (6)-I, str, and S12p- Aminoglycosides. And also, Virulence factors included: Agr- biofilm and toxins release, TcaR- Protein A, MprF- resist the host's innate immune system (specifically, antimicrobial peptides). Other genome characteristics are presented in Table 1 below. Table 1 Data availability, genome statistics and features of strain 3M Parameter Value Genes 2,885 CDSs 2,801 rRNAs 7, 6, 6 (5 S, 16 S, 23 S) tRNAs 61 ncRNAs 4.
Insights
This study sequenced the Staphylococcus saprophyticus strain 3M genome from a Ugandan cow with subclinical mastitis. The genome reveals antibiotic resistance genes and virulence factors, offering insights into bovine mastitis pathogens.
Area of Science:
- Microbiology
- Genomics
- Veterinary Science
Background:
- Subclinical mastitis (SCM) in cows is a significant economic concern in the dairy industry.
- Staphylococcus species are common causes of bovine mastitis, impacting animal health and milk production.
- Understanding the genetic makeup of mastitis-causing bacteria is crucial for developing effective control strategies.
Purpose of the Study:
- To present the draft genome sequence of Staphylococcus saprophyticus strain 3M, isolated from a cow with SCM in Uganda.
- To investigate the antibiotic resistance genes and virulence potential of this SCM-associated isolate.
- To contribute genomic data for Staphylococcus saprophyticus relevant to bovine mastitis.
Main Methods:
- Whole-genome sequencing and assembly of Staphylococcus saprophyticus strain 3M.
- Bioinformatic analysis including genome size, GC content, contig statistics, and genome coverage.
- Average Nucleotide Identity (ANI) analysis for taxonomic classification and relatedness to known strains.
- Screening of the genome for antibiotic resistance genes using Comprehensive Antibiotic Resistance Database (CARD) and virulence factors using Virulence Factor Database (VFDB).
Main Results:
- The draft genome sequence of Staphylococcus saprophyticus strain 3M was successfully assembled (2.79 Mbp, 33% GC, 13 contigs).
- ANI analysis confirmed the isolate as Staphylococcus saprophyticus subsp. saprophyticus, closely related to ATCC 15,305.
- The genome harbors genes conferring resistance to Tetracyclines (tet(K)) and Aminoglycosides (norA, YkkCD, ANT(6)-I, str, S12p).
- Identified virulence factors include Agr (biofilm, toxins), TcaR (Protein A), and MprF (antimicrobial peptide resistance).
Conclusions:
- The genome sequence of Staphylococcus saprophyticus strain 3M provides valuable genetic information about a bovine mastitis pathogen.
- The identified antibiotic resistance and virulence genes highlight potential challenges in treating SCM caused by this strain.
- Further research can utilize this genomic data to understand S. saprophyticus pathogenesis and develop targeted interventions.
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