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Biology subjects

Bandara, C. D.

Publications and source records attributed to Bandara, C. D..

2 recordsLinked to original sources

Cryo-FIB Lift-out and Electron Tomography Workflow for Bacteria-Nanopillar Interface Imaging Under Native Conditions: Investigating Dragonfly Inspired Bactericidal Titanium Surfaces

Dragonfly- and cicada-wing-inspired titanium nanostructured surfaces exhibit promising bactericidal properties. However, direct visualisation of the bacteria-material interface under hydrated conditions remains limited, restricting experimental interrogation how bacteria interact with nanostructured surfaces. This limitation reflects a long-standing methodological gap, as visualisation of bacteria-nanostructure interfaces has largely relied upon indirect or dehydrated imaging approaches. Cryo-electron tomography (cryo-ET) enables three-dimensional visualisation of cellular ultrastructure in a native hydrated environment, but imaging bacteria attached to metallic nanostructures by cryo-ET requires preparation of thin electron-transparent lamellae. Obtaining such lamellae from vitrified bacteria on titanium substrates is technically challenging because cryo-focused ion beam (cryo-FIB) milling must simultaneously section soft biological material and hard metal whilst bacteria embedded in vitreous ice are not directly visible. Here, we establish a correlative cryogenic workflow enabling targeted extraction and cryo-ET imaging of defined bacterium-nanopillar interfaces. Individual bacteria interacting with titanium nanopillars are identified by correlative cryo-fluorescence microscopy, followed by targeted cryo-FIB lift-out, transfer to a receiver grid, and thinning into electron-transparent lamellae. The data presented demonstrate that bacteria-nanostructure interfaces can be targeted, extracted, and structurally analysed in situ under fully hydrated conditions. This workflow provides a methodological framework for future cryo-ET studies of bacteria-nanotopography interactions.

microbiology↗

High-Resolution Chemical Mapping and Microbial Identification of Rhizosphere using Correlative Microscopy

During the past decades, several stand-alone and combinatory methods have been developed to investigate the chemistry (i.e. mapping of elemental, isotopic and molecular composition) and the role of microbes in soil and rhizosphere. However, none of these approaches are currently capable of characterizing soil-root-microbe interactions simultaneously in their spatial arrangement. Here we present a novel approach that allows chemical and microbial identification of the rhizosphere at micro-to nano-meter spatial resolution. Our approach includes i) a resin embedding and sectioning method suitable for simultaneous correlative characterization of Zea mays rhizosphere, ii) an analytical work flow that allows up to six instruments/techniques to be used correlatively, and iii) data and image correlation. Hydrophilic, immunohistochemistry compatible, low viscosity LR white resin was used to embed the rhizosphere sample. We employed waterjet cutting and avoided polishing the surface to prevent smearing of the sample surface at nanoscale. Embedding quality was analyzed by Helium Ion Microscopy (HIM). Bacteria in the embedded soil was identified by Catalyzed Reporter Deposition-Fluorescence In Situ Hybridization (CARD-FISH) to avoid interferences from high levels of auto fluorescence emitted by soil particles and organic matter. Chemical mapping of the rhizosphere was done by Scanning Electron Microscopy (SEM) with Energy-dispersive X-ray analysis (SEM-EDX), Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS), nano-focused Secondary Ion mass Spectrometry (nanoSIMS), and confocal Raman spectroscopy ({micro}-Raman). High-resolution correlative characterization by six different techniques followed by image registration shows that this method can meet the demanding requirements of multiple characterization techniques to chemically map the rhizosphere and identify spatial organization of bacteria. Finally, we presented individual and correlative workflows for imaging and image registration to analyze data. We hope this method will be a platform to combine various 2D analytics for an ample understanding of the rhizosphere processes and their ecological significance. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/429689v2_ufig1.gif" ALT="Figure 1"> View larger version (130K): org.highwire.dtl.DTLVardef@16c8234org.highwire.dtl.DTLVardef@d84266org.highwire.dtl.DTLVardef@1ef6001org.highwire.dtl.DTLVardef@87f51c_HPS_FORMAT_FIGEXP M_FIG C_FIG

plant biology↗