Probing the Adhesion of the Common Freshwater Diatom Nitzschia palea at Nanoscale.
Martin LavialeAudrey BeaussartJoey AllenFabienne QuilèsSofiane El-Kirat-ChatelPublished in: ACS applied materials & interfaces (2019)
Freshwater biofilms play an essential ecological role, but they also adversely affect human activities through undesirable biofouling of artificial submerged structures. They form complex aggregates of microorganisms that colonize any type of substratum. In phototrophic biofilms, diatoms dominate in biomass and produce copious amount of extracellular polymeric substances (EPSs), making them efficient early colonizers. Therefore, a better understanding of diatoms adhesive properties is essential to develop new anti-biofouling strategies. In this context, we used atomic force microscopy (AFM) to decipher the topography and adhesive mechanisms of the common freshwater diatom Nitzschia palea. Images taken in physiological conditions revealed typical ultrastructural features with a few nanometers resolution. Using single-cell force spectroscopy, we showed that N. palea strongly adheres to hydrophobic surfaces as compared to hydrophilic ones. Chemical force spectroscopy with hydrophobic tips further confirmed that the adhesion is governed by surface-associated hydrophobic EPS distributed in clusters at the frustule surface, and mostly composed of (glyco)-lipids as revealed by Raman spectroscopy. Collectively, our results demonstrate that AFM-based nanoscopy, combined with Raman spectroscopy, is a powerful tool to provide new insights into the adhesion mechanisms of diatoms.
Keyphrases
- atomic force microscopy
- single molecule
- raman spectroscopy
- biofilm formation
- single cell
- candida albicans
- ionic liquid
- endothelial cells
- rna seq
- aqueous solution
- pseudomonas aeruginosa
- drug delivery
- high resolution
- cell migration
- deep learning
- staphylococcus aureus
- high throughput
- liquid chromatography
- cancer therapy
- climate change
- high speed
- induced pluripotent stem cells
- pluripotent stem cells
- anaerobic digestion
- machine learning
- molecular dynamics simulations