| Congresso Brasileiro de Microbiologia 2023 | Resumo: 451-1 | ||||
Resumo:Pig meat serves as the primary protein source globally and brings significant economic impact. With Brazil ranking as the fourth-largest swine producer and demonstrating robust growth trends, the task of inhibiting pathogenic bacteria that affect swine health remains a challenge. These microbial species are known to cause severe diseases that impact both animals and humans. Veterinary practices have relied on antibiotics for several decades, but this long-term usage has contributed to critical public health concerns such as increased antimicrobial resistance. Natural peptides, specifically bacteriocins produced by Lactic Acid Bacteria (LAB), emerge as promising alternatives proven to inhibit pathogens, regulate gut microbiota, and promote health benefits. In this study, we analyzed the genomes of 112 isolates from the Pig Intestinal Bacterial Collection (PiBAC) in a comprehensive genomic investigation. This investigation incorporated several approaches: i) pan-genome and ortholog analysis among isolates using Panaroo and Roary pipelines, following automatic genome annotation with Prokka, and completeness assessment through BUSCO software; construction of a phylogenomic tree, and gene cluster identification and annotation via the eggNOG-mapper v2 program; ii) discovery of bacteriocin genes by submitting genomes to the BAGEL4 database, and prediction of their physicochemical parameters by submitting respective sequences to EXPASY’s ProtParam and BACHEM’s Peptide Calculator servers; iii) multiple sequence alignment using ClustalX 2, and structural characterization of models using trRosetta server. Analyses demonstrated that the completeness of all genomes ranged from 83.1% to 100%, with an average value of 98.08%. The pan-genome of these bacterial isolates comprised 290,430 genes, which fit into 23 out of 25 clusters of orthologous groups (COGs), leaving 22,223 coding sequences unannotated. The majority of these genes were associated with transcription, amino acid transport and metabolism, carbohydrate transport and metabolism, replication and repair, and functions yet to be identified. Furthermore, bacteriocin genes were predicted in 92 out of the 112 genomes, organized into 43 different classes. The most notable results highlighted sactipeptides, lasso peptides, zoocin A, and enterolysin. Core peptide amino acid sequences were employed to model structures, resulting in 35 models. For 28 of these, the modeling efficacy exceeded 90%. Importantly, for 38% of the considered bacteriocin targets, a modeled structure is unprecedented. The findings from these analyses could lay the groundwork for identifying potentially beneficial peptides produced by lactic acid bacteria, paving the way for improved swine health management and disease control. Palavras-chave: Pigs, bacteriocins, lactic acid bacteria, computational biology Agência de fomento:FAPESP; CAPES | |||||