Search

Background: Bovine mastitis accounts for significant economic losses to the dairy industry worldwide. Staphylococcus aureus is the most common causative agent of bovine mastitis. Investigating the prevalence of virulence factors and antimicrobial resistance would provide insight into the molecular epidemiology of mastitis-associated S. aureus strains. The present study is focused on the whole genome sequencing and comparative genomic analysis of 41 mastitis-associated S. aureus strains isolated from India., Results: The results elucidate explicit knowledge of 15 diverse sequence types (STs) and five clonal complexes (CCs). The clonal complexes CC8 and CC97 were found to be the predominant genotypes comprising 21 and 10 isolates, respectively. The mean genome size was 2.7 Mbp with a 32.7% average GC content. The pan-genome of the Indian strains of mastitis-associated S. aureus is almost closed. The genome-wide SNP-based phylogenetic analysis differentiated 41 strains into six major clades. Sixteen different spa types were identified, and eight isolates were untypeable. The cgMLST analysis of all S. aureus genome sequences reported from India revealed that S. aureus strain MUF256, isolated from wound fluids of a diabetic patient, was the common ancestor. Further, we observed that all the Indian mastitis-associated S. aureus isolates belonging to the CC97 are mastitis-associated. We identified 17 different antimicrobial resistance (AMR) genes among these isolates, and all the isolates used in this study were susceptible to methicillin. We also identified 108 virulence-associated genes and discuss their associations with different genotypes., Conclusion: This is the first study presenting a comprehensive whole genome analysis of bovine mastitis-associated S. aureus isolates from India. Comparative genomic analysis revealed the genome diversity, major genotypes, antimicrobial resistome, and virulome of clinical and subclinical mastitis-associated S. aureus strains., (© 2023. The Author(s).)

The increased prevalence of multidrug-resistant pathogens poses a significant clinical threat, and hence, the discovery of novel antibiotics is the need of the hour. Several attempts are being made worldwide to screen and identify newer antibiotics from various microbial sources. The genus Paenibacillus is known for its biosynthetic potential and metabolic versatility in producing several secondary metabolites. In this study, we isolated Paenibacillus alvei strain JR949 from the soil, which exhibited antimicrobial activity against Enteropathogenic Escherichia coli (EPEC), Pseudomonas aeruginosa (PAO1), and methicillin-resistant Staphylococcus aureus (MRSA). The whole genome of this strain was sequenced using the Illumina platform. The genome mining of the draft genome sequence revealed a total of 31 biological gene clusters (BGCs) responsible for the synthesis of secondary metabolites. The construction of the similarity network of the BGCs and the comparative analysis with the genetically related strains aided the identification of metabolites produced by this strain. We identified BGCs coding for paenibactin, paenibacterin, anabaenopeptin NZ857, icosalide A/B, polymyxin, and bicornutinA1/A2 with 100% similarity. The BGCs with lower sequence similarity to paenibacterin, polymyxin B, colistin A/B, pellasoren, tridecaptin, pelgipeptin, and marthiapeptide were also identified. Furthermore, 13 putative NRPS BGCs, 3 NRPS-T1PKS hybrid clusters, a T1PKS, and a bacteriocin BGC were identified with very low similarity (≤ 25%) or no similarity with known antibiotics. Further experimental investigations may result in the discovery of novel antimicrobial drugs.