Skip to content
#protein folding Open access

Novel insights into the biosynthesis and diversity of leaderless multipeptide bacteriocins

Sep 2026 · bioRxiv · 0 citations · 94 references
Biology

TL;DR

To decipher conserved features involved in production of these bacteriocins, genome mining was used to identify 11 candidates for new multipeptide bacteriocins; four were obtained synthetically and confirmed to be bioactive peptides inhibiting important pathogens including Listeria monocytogenes and enterococci.

Abstract

Garvicin KS (GarKS) is a three-peptide, leaderless, broad-spectrum bacteriocin that is active against a wide range of Gram-positive bacteria, including several foodborne pathogens and antibiotic-resistant strains. This bacteriocin is considered a candidate for application in food preservation and medical treatments; however, key knowledge about the producer strain, regulation of production, and the mechanism of action is still lacking for leaderless, multipeptide bacteriocins, including GarKS. A hybrid sequencing strategy was used to obtain a high-quality closed genome assembly of the native GarKS producer Lactococcus garvieae KS1546, which showed that the bacteriocin was encoded on a 50 kb plasmid (pKS50). Comparative analysis with updated sequence databases indicates that the producer strain should be reclassified as Lactococcus petauri. The roles of the biosynthetic genes, putatively encoding a transcriptional regulator (gakR) and immunity protein (gakI), were examined using heterologous expression. Removal of gakR resulted in a 6-fold decrease in GarKS production, and expression of gakI caused a 250-fold decrease in susceptibility to GarKS, with varying degrees of cross-immunity to other multipeptide bacteriocins. Isolation and whole-genome sequencing of spontaneous GarKS mutants in L. lactis showed that resistance levels are low, but that ythA, a PspC-domain-containing protein involved in a phage stress response pathway is involved in the GarKS susceptible phenotype. To decipher conserved features involved in production of these bacteriocins, we finally used genome mining to identify 11 candidates for new multipeptide bacteriocins; four of them were obtained synthetically and confirmed to be bioactive peptides inhibiting important pathogens including Listeria monocytogenes and enterococci.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.