Evidence map›Paper›PMID 42696257›Full record

ArticleProbiotics and antimicrobial proteins2026

Comparative Genomics of Paenibacillus Secondary Metabolism: Unveiling the Putative Biosynthetic Gene Cluster for Paenialvins in Paenibacillus Alvei Strain 32.

Drago Haas, Fatoumata Tambadou, Thibault Caradec, Valérie Sopéna, Sandrine Didelot, Cyrille Barthélémy, Valérie Thiéry, Romain Chevrot

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Article in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Drago HaasLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Fatoumata TambadouLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Thibault CaradecLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Valérie SopénaLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Sandrine DidelotLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Cyrille BarthélémyLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Valérie ThiéryLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France.
Romain ChevrotLaboratoire Littoral Environnement et Sociétés, LIENSS - UMR7266- CNRS, Université de La Rochelle, Avenue Michel Crépeau, La Rochelle, 17042, France. romain.chevrot01@univ-lr.fr.ORCID http://orcid.org/0000-0003-3669-6102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we used comparative genomics and culture-based methods to investigate Biosynthetic Gene Clusters (BGCs) responsible for the production of antimicrobial peptides. Paenibacillus alvei strain 32 was isolated from a cystic fibrosis sputum. Its genome was sequenced using Illumina, showing a size of 6,584,590 bp with 239 contigs assembled in 26 scaffolds, an average coverage of 243X, and 6,832 coding sequences. ANI analysis and in silico DNA-DNA hybridization showed its affiliation inside Paenibacillus alvei, with a clear separation from other related strains, leading us to propose a distinct species-level genomic clade (genomospecies) within this group. AntiSMASH analysis predicted 22 putative BGCs in the genome of strain 32. Its culture supernatant exhibited inhibitory activity against Gram-positive pathogens, including methicillin-resistant Staphylococcus aureus (MRSA), Bacillus cereus, and Enterococcus faecalis. By comparing in silico BGC predictions with activities described in the literature, we propose that strain 32 harbours a specific 110-kb cluster (cluster 6.2) with five non-ribosomal peptide synthetase (NRPS) genes. These synthetases are predicted to direct the assembly of a 16-amino acid backbone that correlates with the structure of paenialvins, which are known anti-MRSA molecules. This study describes the putative biosynthetic pathway of the paenialvins and explains structural variations, bringing useful data on Paenibacillus secondary metabolism for future antibiotic development.

Indexed as

Comparative genomicsCystic fibrosisMethicillin-resistant Staphylococcus aureus (MRSA)Non-ribosomal peptide synthetasePaenialvinPaenibacillus alveiPolymyxin

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.