<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>121(23)</volume><submitter>Semeraro EF</submitter><pubmed_abstract>We previously reported that the synergistically enhanced antimicrobial activity of magainin 2 (MG2a) and PGLa is related to membrane adhesion and fusion. Here, we demonstrate that equimolar mixtures of MG2a and L18W-PGLa induce positive monolayer curvature stress and sense, at the same time, positive mean and Gaussian bilayer curvatures already at low amounts of bound peptide. The combination of both abilities-membrane curvature sensing and inducing-is most likely the base for the synergistically enhanced peptide activity. In addition, our coarse-grained simulations suggest that fusion stalks are promoted by decreasing the free-energy barrier for their formation rather than by stabilizing their shape. We also interrogated peptide partitioning as a function of lipid and peptide concentration using tryptophan fluorescence spectroscopy and peptide-induced leakage of dyes from lipid vesicles. In agreement with a previous report, we find increased membrane partitioning of L18W-PGLa in the presence of MG2a. However, this effect does not prevail to lipid concentrations higher than 1 mM, above which all peptides associate with the lipid bilayers. This implies that synergistic effects of MG2a and L18W-PGLa in previously reported experiments with lipid concentrations >1 mM are due to peptide-induced membrane remodeling and not their specific membrane partitioning.</pubmed_abstract><journal>Biophysical journal</journal><pagination>4689-4701</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9748257</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Magainin 2 and PGLa in bacterial membrane mimics IV: Membrane curvature and partitioning.</pubmed_title><pmcid>PMC9748257</pmcid><pubmed_authors>Vacha R</pubmed_authors><pubmed_authors>Lohner K</pubmed_authors><pubmed_authors>Semeraro EF</pubmed_authors><pubmed_authors>Marx L</pubmed_authors><pubmed_authors>Pabst G</pubmed_authors><pubmed_authors>Pajtinka P</pubmed_authors><pubmed_authors>Kabelka I</pubmed_authors><pubmed_authors>Leber R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Magainin 2 and PGLa in bacterial membrane mimics IV: Membrane curvature and partitioning.</name><description>We previously reported that the synergistically enhanced antimicrobial activity of magainin 2 (MG2a) and PGLa is related to membrane adhesion and fusion. Here, we demonstrate that equimolar mixtures of MG2a and L18W-PGLa induce positive monolayer curvature stress and sense, at the same time, positive mean and Gaussian bilayer curvatures already at low amounts of bound peptide. The combination of both abilities-membrane curvature sensing and inducing-is most likely the base for the synergistically enhanced peptide activity. In addition, our coarse-grained simulations suggest that fusion stalks are promoted by decreasing the free-energy barrier for their formation rather than by stabilizing their shape. We also interrogated peptide partitioning as a function of lipid and peptide concentration using tryptophan fluorescence spectroscopy and peptide-induced leakage of dyes from lipid vesicles. In agreement with a previous report, we find increased membrane partitioning of L18W-PGLa in the presence of MG2a. However, this effect does not prevail to lipid concentrations higher than 1 mM, above which all peptides associate with the lipid bilayers. This implies that synergistic effects of MG2a and L18W-PGLa in previously reported experiments with lipid concentrations >1 mM are due to peptide-induced membrane remodeling and not their specific membrane partitioning.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2026-06-03T09:28:07.973Z</modification><creation>2025-04-05T22:25:08.037Z</creation></dates><accession>S-EPMC9748257</accession><cross_references><pubmed>36258677</pubmed><doi>10.1016/j.bpj.2022.10.018</doi></cross_references></HashMap>