Optical sensing of microbial life on surfaces

The label-free detection of microbial cells attached to a surface is an active field of research. The field is driven by the need to understand and control the growth of biofilms in a number of applications, including basic research in natural environments, industrial facilities, and clinical devices, to name a few. Despite significant progress in the ability to monitor the growth of biofilms and related living cells, the sensitivity and selectivity of such sensors are still a challenge. We believe that among the many different technologies available for monitoring biofilm growth, optical techniques are the most promising, as they afford direct imaging and offer high sensitivity and specificity. Furthermore, as each technique offers different insights into the biofilm growth mechanism, our analysis allows us to provide an overview of the biological processes at play. In addition, we use a set of key parameters to compare state-of-the-art techniques in the field, including a critical assessment of each method, to identify the most promising types of sensors. We highlight the challenges that need to be overcome to improve the characteristics of current biofilm sensor technologies and indicate where further developments are required. In addition, we provide guidelines for selecting a suitable sensor for detecting microbial cells on a surface

Metabarcoding and metabolomics offer complementarity in deciphering marine eukaryotic biofouling community shifts

International audienceMetabarcoding and metabolomics were used to explore the taxonomic composition and functional diversity of eukaryotic biofouling communities on plates with antifouling paints at two French coastal sites: Lorient (North Eastern Atlantic Ocean; temperate and eutrophic) and Toulon (North-Western Mediterranean Sea; mesotrophic but highly contaminated). Four distinct coatings were tested at each site and season for one month. Metabarcoding showed biocidal coatings had less impact on eukaryotic assemblages compared to spatial and temporal effects. Ciliophora, Chlorophyceae or Cnidaria (mainly hydrozoans) were abundant at Lorient, whereas Arthropoda (especially crustaceans), Nematoda, and Ochrophyta dominated less diversified assemblages at Toulon. Seasonal shifts were observed at Lorient, but not Toulon. Metabolomics also showed clear site discrimination, but these were associated with a coating and not season dependent clustering. The meta-omics analysis enabled identifications of some associative patterns between metabolomic profiles and specific taxa, in particular those colonizing the plates with biocidal coatings at Lorient