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Exploring bioactive peptides from bacterial secretomes using PepSAVI-MS: identification and characterization of Bac-21 from Enterococcus faecalis pPD1. Microb Biotechnol 2018 Sep;11(5):943-951

Date

07/18/2018

Pubmed ID

30014612

Pubmed Central ID

PMC6116741

DOI

10.1111/1751-7915.13299

Scopus ID

2-s2.0-85050586641 (requires institutional sign-in at Scopus site)   6 Citations

Abstract

As current methods for antibiotic drug discovery are being outpaced by the rise of antimicrobial resistance, new methods and innovative technologies are necessary to replenish our dwindling arsenal of antimicrobial agents. To this end, we developed the PepSAVI-MS pipeline to expedite the search for natural product bioactive peptides. Herein we demonstrate expansion of PepSAVI-MS for the discovery of bacterial-sourced bioactive peptides through identification of the bacteriocin Bac-21 from Enterococcus faecalis pPD1. Minor pipeline modifications including implementation of bacteria-infused agar diffusion assays and optional digestion of peptide libraries highlight the versatility and wide adaptability of the PepSAVI-MS pipeline. Additionally, we have experimentally validated the primary protein sequence of the active, mature Bac-21 peptide for the first time and have confirmed its identity with respect to primary sequence and post-translational processing. Successful application of PepSAVI-MS to bacterial secretomes as demonstrated herein establishes proof-of-principle for use in novel microbial bioactive peptide discovery.

Author List

Kirkpatrick CL, Parsley NC, Bartges TE, Wing CE, Kommineni S, Kristich CJ, Salzman NH, Patrie SM, Hicks LM

Authors

Christopher J. Kristich PhD Professor in the Microbiology and Immunology department at Medical College of Wisconsin
Nita H. Salzman MD, PhD Director, Professor in the Pediatrics department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Bacterial Proteins
Bacteriocins
Biological Products
Enterococcus faecalis
Mass Spectrometry
Proteome