Exploring the molecular basis of potassium usnate activity against Staphylococcus warneri persistence and resistance through protein interaction networks and molecular docking
Mastitis remains a major cause of antimicrobial use in dairy herds, contributing to the spread of antimicrobial resistance (AMR). Staphylococcus warneri has emerged as a recurrent pathogen associated with persistent and resistant infections in goats. To explore potential alternative agents, this study integrated in vitro assays with in silico modeling to evaluate the antimicrobial activity of usnic acid (UA) and potassium usnate (KU) against S. warneri isolates from clinical mastitis. Two strains with documented enrofloxacin persistence were characterized in vitro and analyzed using protein–protein interaction (PPI) network modeling and molecular docking (MD). KU displayed higher predicted affinity to persistence- and resistance-associated protein targets than UA. Prominent protein families included ABC transporters (ABC_tran and ATP-Binding_Cassette) related to resistance, and MenD_MenH_VitK_biosynth, Metallo-β-lactamase_sf, and HipB-associated domains linked to persistence. Functional PPI networks highlighted biologically relevant clusters centered on NorB, VraR, SrrB, ArlR, CodY, SarA, BcrA, and MazF. KU binds with higher affinity than reference antibiotics to key resistance (BcrA, TcaR) and persistence (GTP pyrophosphokinase, glycerol kinase) targets. These findings suggest that KU may interfere with essential bacterial survival pathways, supporting its potential as a potent natural antibacterial agent for combating resistant and persistent infections and supporting its continued investigation as a natural product–derived candidate for combating AMR in veterinary infections.
Authors
- Chirles Araújo de França (ORCID: https://orcid.org/0000-0001-9203-4141)
- Wagner Pereira Félix (ORCID: https://orcid.org/0000-0002-7409-1633)
- Márcio Rennan Santos Tavares (ORCID: https://orcid.org/0000-0002-9072-0727)
- Bertram Brenig (ORCID: https://orcid.org/0000-0002-7635-9656)
- Leonardo Broetto (ORCID: https://orcid.org/0000-0002-5424-2115)
- Vasco Ariston de Carvalho Azevedo
- Maria Aparecida Scatamburlo Moreira
- Teresa de Lisieux Guedes Ferreira Lôbo
- Nayara Andreo
- Mateus Matiuzzi da Costa
Institutions
- Universidade Federal de Minas Gerais (BR)
- Universidade Federal de Viçosa (BR)
- Instituto Federal do Sertão Pernambucano (BR)
- Universidade Federal do Vale do São Francisco (BR)
- University of Göttingen (DE)
- Universidade Federal de Alagoas (BR)
Publication Details
- Journal
- Network Modeling Analysis in Health Informatics and Bioinformatics
- Published
- 2026-03-07
- DOI
- https://doi.org/10.1007/s13721-026-00767-7
- Primary Topic
- Antimicrobial Resistance in Staphylococcus
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco