{"title":"High-resolution measurement of near-surface bacterial swimming reveals bimodal cell-surface separations.","authors":"Hongbo Yu, Chi Zhang, Rongjing Zhang, Junhua Yuan","doi":"10.1093/pnasnexus/pgag319","DOIUrl":null,"url":null,"abstract":"<p><p>Bacterial interactions with solid boundaries initiate surface sensing, adhesion, and biofilm formation, yet the dynamics of near-wall swimming remain difficult to quantify because the cell-surface gap is challenging to measure with high precision in real time. Here, we introduce a calibrated, exclusion-based fluorescence microscopy method that converts fluorescence intensity into absolute height using in situ microsphere calibration, enabling reconstruction of three-dimensional trajectories of swimming <i>Escherichia coli</i> with tens-of-nanometer axial precision over an ∼400-nm range. We observe that steady-state gap heights are bimodal: cells occupy two preferred separation regimes, a short-range state at ∼67 nm and a long-range hovering state at ∼240 nm. Increasing ionic strength enriches the short-range population and shifts it toward the surface, consistent with electrostatic screening predicted by Derjaguin-Landau-Verwey-Overbeek theory, whereas the hovering state remains essentially unchanged, indicating a predominantly hydrodynamic origin. We further quantify how gap height covaries with swimming speed and trajectory curvature. This approach reconciles disparate estimates of cell-surface distances reported previously and offers a robust, noninvasive tool for investigating the mechanisms of bacteria-surface interactions.</p>","PeriodicalId":74468,"journal":{"name":"PNAS nexus","volume":"5 9","pages":"pgag319"},"PeriodicalIF":4.8000,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13623003/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PNAS nexus","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/pnasnexus/pgag319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Bacterial interactions with solid boundaries initiate surface sensing, adhesion, and biofilm formation, yet the dynamics of near-wall swimming remain difficult to quantify because the cell-surface gap is challenging to measure with high precision in real time. Here, we introduce a calibrated, exclusion-based fluorescence microscopy method that converts fluorescence intensity into absolute height using in situ microsphere calibration, enabling reconstruction of three-dimensional trajectories of swimming Escherichia coli with tens-of-nanometer axial precision over an ∼400-nm range. We observe that steady-state gap heights are bimodal: cells occupy two preferred separation regimes, a short-range state at ∼67 nm and a long-range hovering state at ∼240 nm. Increasing ionic strength enriches the short-range population and shifts it toward the surface, consistent with electrostatic screening predicted by Derjaguin-Landau-Verwey-Overbeek theory, whereas the hovering state remains essentially unchanged, indicating a predominantly hydrodynamic origin. We further quantify how gap height covaries with swimming speed and trajectory curvature. This approach reconciles disparate estimates of cell-surface distances reported previously and offers a robust, noninvasive tool for investigating the mechanisms of bacteria-surface interactions.