Late blowing is a defect of semi-hard and hard cheeses induced by butyric clostridia that, through the formation of endospores, contaminate raw milk via silage, fresh forage and animal bedding. Generally it becomes evident during ripening, when the physical and chemical conditions of the cheese core support spores outgrowth. This causes the production of undesirable off-odors and an anomalous organization of the loaf, that seriously prejudices cheeses, with significant economic losses for the dairy industry. This study describes the development of an original application of the automated ribosomal intergenic spacer analysis (ARISA) that, relying on a multi-species-specific primer set, allows to simultaneously displaying distinctivefingerprints, diagnostic forClostridium tyrobutyricum,generally considered the main responsible of late blowing, and for the other species so far associated with the defect:Clostridium butyricum, Clostridium sporogenes, Clostridium beijerinckii, Clostridium tertiumandClostridium perfringens, also providing relative abundance estimations. This approach has been applied to the seasonal analysis of tank raw milk and curd used for Grana Padano PDO cheese production in dairies located in different areas of the Northern Padan plain.C. beijerinckii and C. tertium,occurring both in 100% milks and curds, together withC. perfringens, retrieved in 98.7% milks and 100% curds, resulted the most abundant species in all the seasons. On the other hand, C. sporogenesalways resulted the less abundant species, occurring in 77.2% of milks and 86.1% of curds. Highly significant seasonal effects were detected forC. tyrobutyricum andC. beijerinckiithat displayed the most marked and opposite trends. The occurrence of a spatial pattern of variation for curd was also observed, thus envisaging relevant effects presumably linked to differential breeder practices (feeding and hygiene). This ARISA approach presents important perspec-tives in terms of applicability along the entire dairy production chain for diagnostic purposes and for providing an estimate of the microbiological quality of milk.

One-year investigation of Clostridium spp. occurrence in raw milk and curd of Grana Padano cheese by the automated ribosomal intergenic spacer analysis

SACCHI, ROBERTO;CAPELLI, ENRICA;
2014

Abstract

Late blowing is a defect of semi-hard and hard cheeses induced by butyric clostridia that, through the formation of endospores, contaminate raw milk via silage, fresh forage and animal bedding. Generally it becomes evident during ripening, when the physical and chemical conditions of the cheese core support spores outgrowth. This causes the production of undesirable off-odors and an anomalous organization of the loaf, that seriously prejudices cheeses, with significant economic losses for the dairy industry. This study describes the development of an original application of the automated ribosomal intergenic spacer analysis (ARISA) that, relying on a multi-species-specific primer set, allows to simultaneously displaying distinctivefingerprints, diagnostic forClostridium tyrobutyricum,generally considered the main responsible of late blowing, and for the other species so far associated with the defect:Clostridium butyricum, Clostridium sporogenes, Clostridium beijerinckii, Clostridium tertiumandClostridium perfringens, also providing relative abundance estimations. This approach has been applied to the seasonal analysis of tank raw milk and curd used for Grana Padano PDO cheese production in dairies located in different areas of the Northern Padan plain.C. beijerinckii and C. tertium,occurring both in 100% milks and curds, together withC. perfringens, retrieved in 98.7% milks and 100% curds, resulted the most abundant species in all the seasons. On the other hand, C. sporogenesalways resulted the less abundant species, occurring in 77.2% of milks and 86.1% of curds. Highly significant seasonal effects were detected forC. tyrobutyricum andC. beijerinckiithat displayed the most marked and opposite trends. The occurrence of a spatial pattern of variation for curd was also observed, thus envisaging relevant effects presumably linked to differential breeder practices (feeding and hygiene). This ARISA approach presents important perspec-tives in terms of applicability along the entire dairy production chain for diagnostic purposes and for providing an estimate of the microbiological quality of milk.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11571/813839
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