INVESTIGADORES
SAAVEDRA Maria Lucila
congresos y reuniones científicas
Título:
Metagenomics- based approaches for exploring bacteriocin genes in artisanal cheeses
Autor/es:
SUAREZ NADIA; BONACINA J; RAYA RAUL; SESMA F; SAAVEDRA L
Reunión:
Congreso; SAIB - 50th Annual Meeting Argentine Society for Biochemistry and Molecular Biology; 2014
Resumen:
The growing volume of metagenomic sequence data from different environments is a promising source for the in silico exploring the presence of bacteriocins genes. Cheeses made from unpasteurized milk and following traditional manufacturing procedures are an important source of strains harboring genetic diversity. Metagenomic approaches were used to study the bacteriocinogenic potential of the microbial community of artisanal cheeses. Metagenomic DNA from two cheese samples (A and B) was shot-gun sequenced by an IonTorrent PGM system. Data analysis was performed by MG-RAST web server and Bagel3 software. Dataset of sample A contained 2,069,638 sequences with an average length of 205 bps. Dataset of sample B contained 1,248,386 sequences with an average length of 219 bps. After quality control pipeline 69.1% of sequences produced a total of 542,929 predicted protein coding regions in sample A and 82.3% of sequences produced a total of 433,688 in sample B. Phylogenetic analysis indicated that cheese microbiome was dominated by Streptococcus and Enterococcus. This result was correlated with the identification of ORFs encoding for bacteriocins produced by members of those genera, BlpM, BlpN, BlpK, BlpU, termophilin A, Bac32 and enterocins SE-K4, P, B and A, demonstrating the prevalence of bacteriocin-producing and genetically versatile bacterial genera in artisanal cheeses.