Genomic Diversity of Streptomyces clavuligerus : Implications for Clavulanic Acid Biosynthesis and Industrial Hyperproduction

is a species used worldwide to industrially produce clavulanic acid (CA), a molecule that enhances antibiotic effectiveness against β-lactamase-producing bacterial strains. Despite its low inherent CA production, hyper-producing strains have been developed. However, genomic analyses specific to and...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of molecular sciences Vol. 25; no. 20; p. 10992
Main Authors Ríos-Fernández, Paula, Caicedo-Montoya, Carlos, Ríos-Estepa, Rigoberto
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 12.10.2024
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:is a species used worldwide to industrially produce clavulanic acid (CA), a molecule that enhances antibiotic effectiveness against β-lactamase-producing bacterial strains. Despite its low inherent CA production, hyper-producing strains have been developed. However, genomic analyses specific to and CA biosynthesis are limited. Genomic variations that may influence CA yield were explored using strain genomes from diverse sources. Despite the slight differences obtained by similarity index calculation, pan-genome estimation revealed that only half of the genes identified were present in all strains. As expected, core genes were associated with primary metabolism, while the remaining genes were linked to secondary metabolism. Differences at the sequence level were more likely to be found in regions close to the tips of the linear chromosome. Wild-type strains preserved larger chromosomal and plasmid regions compared to industrial and/or hyper-producing strains; such a grouping pattern was also found through refined phylogenetic analyses. These results provide essential insights for the development of hyper-producing strains, attending to the critical demand for this antibiotic enhancer and contributing to future strategies for CA production optimization.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms252010992