Bovine mastitis is a widespread infectious disease that causes of economic damage associated with reduced milk production and food contamination. In this study we identified Bacillus cereus (B. cereus) strains in milk samples collected from four cattle with subclinical mastitis. The Somatic Cell Count (SCC) examination was used as an indicator of mastitis. The strains isolated from each sample were genetically characterised by whole genome sequencing. Bioinformatic analysis reveal two species: B. mosaicus and B. cereus sensu stricto. Additionally, the analyses carried out allowed the pathotype and antibiotic resistance genes to be defined. The prediction of toxins and antimicrobial resistance profile is important to implement strategies for health management of dairy animals and control of the safety and quality of dairy products.
Caratterizzazione genetica di B. cereus isolati da latte di bovine affette da mastite subclinica / Bianco, Angelica; Addante, Luciana; Capozzi, Loredana; Del Sambro, Laura; Simone, Domenico; Difato, Laura Maria; Barbieri, Giorgia; Quarato, Claudia; Miccolupo, Angela; Bulzacchelli, Carmela; Parisi, Antonio. - (2021). (Intervento presentato al convegno XX CONGRESSO NAZIONALE S.I.DI.L.V. tenutosi a ON AIR).
Caratterizzazione genetica di B. cereus isolati da latte di bovine affette da mastite subclinica
Barbieri, Giorgia;Parisi, Antonio
2021
Abstract
Bovine mastitis is a widespread infectious disease that causes of economic damage associated with reduced milk production and food contamination. In this study we identified Bacillus cereus (B. cereus) strains in milk samples collected from four cattle with subclinical mastitis. The Somatic Cell Count (SCC) examination was used as an indicator of mastitis. The strains isolated from each sample were genetically characterised by whole genome sequencing. Bioinformatic analysis reveal two species: B. mosaicus and B. cereus sensu stricto. Additionally, the analyses carried out allowed the pathotype and antibiotic resistance genes to be defined. The prediction of toxins and antimicrobial resistance profile is important to implement strategies for health management of dairy animals and control of the safety and quality of dairy products.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


