Diversity and ice nucleation activity of Pseudomonas syringae in drone-based water samples from eight lakes in Austria

PeerJ. 2023 Nov 28:11:e16390. doi: 10.7717/peerj.16390. eCollection 2023.

Abstract

Bacteria from the Pseudomonas syringae complex (comprised of at least 15 recognized species and more than 60 different pathovars of P. syringae sensu stricto) have been cultured from clouds, rain, snow, streams, rivers, and lakes. Some strains of P. syringae express an ice nucleation protein (hereafter referred to as ice+) that catalyzes the heterogeneous freezing of water. Though P. syringae has been sampled intensively from freshwater sources in the U.S. and France, little is known about the genetic diversity and ice nucleation activity of P. syringae in other parts of the world. We investigated the haplotype diversity and ice nucleation activity at -8 °C (ice+) of strains of P. syringae from water samples collected with drones in eight freshwater lakes in Austria. A phylogenetic analysis of citrate synthase (cts) sequences from 271 strains of bacteria isolated from a semi-selective medium for Pseudomonas revealed that 69% (188/271) belonged to the P. syringae complex and represented 32 haplotypes in phylogroups 1, 2, 7, 9, 10, 13, 14 and 15. Strains within the P. syringae complex were identified in all eight lakes, and seven lakes contained ice+ strains. Partial 16S rDNA sequences were analyzed from a total of 492 pure cultures of bacteria isolated from non-selective medium. Nearly half (43.5%; 214/492) were associated with the genus Pseudomonas. Five of the lakes (ALT, GRU, GOS, GOL, and WOR) were all distinguished by high levels of Pseudomanas (p ≤ 0.001). HIN, the highest elevation lake, had the highest percentage of ice+ strains. Our work highlights the potential for uncovering new haplotypes of P. syringae in aquatic habitats, and the use of robotic technologies to sample and characterize microbial life in remote settings.

Keywords: Austria; Bacteria; Diversity; Drone; Ice nucleation; Lake; Pseudomonas syringae; Richness.

MeSH terms

  • Austria
  • Bacteria
  • Ice*
  • Lakes
  • Phylogeny
  • Pseudomonas syringae* / genetics
  • Unmanned Aerial Devices
  • Water / metabolism

Substances

  • Ice
  • Water

Grants and funding

This research was supported by grants to David Schmale from the Institute of Critical Technology and Applied Science (ICTAS) at Virginia Tech (#177220), the College of Agriculture and Life Sciences at Virginia Tech (#137605), and the National Science Foundation (NSF) under Grant Numbers DEB-1241068 (Dimensions: Collaborative Research: Research on Airborne Ice-Nucleating Species (RAINS)), AGS-1520825 (HAZARDS SEES: Uncovering the Hidden Skeleton of Environmental Flows: Advanced Lagrangian Methods for Hazard Prediction, Mitigation, and Response), and IIS-1637915 (NRI: Coordinated Detection and Tracking of Hazardous Agents with Aerial and Aquatic Robots to Inform Emergency Responders). This research was supported by grants to Hinrich Grothe from the Austrian Science Fund (FWF) under Grant P26040, and bridge project 850689 (EarlySnow) from the Austrian Research Promotion Agency (FFG). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors of this research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.