Rhamnolipids and fengycins interact differently with biomimetic lipid membrane models of Botrytis cinerea and Sclerotinia sclerotiorum: Lipidomics profiles and biophysical studies.

Botrytis cinerea Fengycins Lipids Membrane molecular dynamics Rhamnolipids Sclerotinia sclerotiorum Solid-state NMR

Journal

Biophysical chemistry
ISSN: 1873-4200
Titre abrégé: Biophys Chem
Pays: Netherlands
ID NLM: 0403171

Informations de publication

Date de publication:
07 Aug 2024
Historique:
received: 05 04 2024
revised: 03 07 2024
accepted: 25 07 2024
medline: 19 8 2024
pubmed: 19 8 2024
entrez: 18 8 2024
Statut: aheadofprint

Résumé

Rhamnolipids (RLs) and Fengycins (FGs) are biosurfactants with very promising antifungal properties proposed to reduce the use of synthetic pesticides in crops. They are amphiphilic molecules, both known to target the plasma membrane. They act differently on Botrytis cinerea and Sclerotinia sclerotiorum, two close Sclerotiniaceae phytopathogenic fungi. RLs are more efficient at permeabilizing S. sclerotiorum, and FGs are more efficient at permeabilizing B. cinerea mycelial cells. To study the link between the lipid membrane composition and the activity of RLs and FGs, we analyzed the lipid profiles of B. cinerea and S. sclerotiorum. We determined that unsaturated or saturated C18 and saturated C16 fatty acids are predominant in both fungi. We also showed that phosphatidylethanolamine (PE), phosphatidic acid (PA), and phosphatidylcholine (PC) are the main phospholipids (in this order) in both fungi, with more PA and less PC in S. sclerotiorum. The results were used to build biomimetic lipid membrane models of B. cinerea and S. sclerotiorum for all-atom molecular dynamic simulations and solid-state NMR experiments to more deeply study the interactions between RLs or FGs with different compositions of lipid bilayers. Distinctive effects are exerted by both compounds. RLs completely insert in all the studied model membranes with a fluidification effect. FGs tend to form aggregates out of the bilayer and insert individually more easily into the models representative of B. cinerea than those of S. sclerotiorum, with a higher fluidification effect. These results provide new insights into the lipid composition of closely related fungi and its impact on the mode of action of very promising membranotropic antifungal molecules for agricultural applications.

Identifiants

pubmed: 39154582
pii: S0301-4622(24)00134-0
doi: 10.1016/j.bpc.2024.107305
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107305

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Camille Botcazon (C)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Alliance Sorbonne Université, Université de technologie de Compiègne, Compiègne, France.

Francisco Ramos-Martín (F)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Université de Picardie Jules Verne, Amiens, France.

Nely Rodríguez-Moraga (N)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Université de Picardie Jules Verne, Amiens, France.

Thomas Bergia (T)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Alliance Sorbonne Université, Université de technologie de Compiègne, Compiègne, France.

Sébastien Acket (S)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Alliance Sorbonne Université, Université de technologie de Compiègne, Compiègne, France.

Catherine Sarazin (C)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Université de Picardie Jules Verne, Amiens, France. Electronic address: catherine.sarazin@u-picardie.fr.

Sonia Rippa (S)

Unité Génie Enzymatique et Cellulaire, CNRS, UMR 7025, Alliance Sorbonne Université, Université de technologie de Compiègne, Compiègne, France. Electronic address: sonia.rippa@utc.fr.

Classifications MeSH