High dispersal levels and lake warming are emergent drivers of cyanobacterial community assembly in peri-Alpine lakes

Sci Rep. 2019 May 14;9(1):7366. doi: 10.1038/s41598-019-43814-2.

Abstract

Disentangling the relative importance of deterministic and stochastic processes in shaping natural communities is central to ecology. Studies about community assembly over broad temporal and spatial scales in aquatic microorganisms are scarce. Here, we used 16S rDNA sequence data from lake sediments to test for community assembly patterns in cyanobacterial phylogenies across ten European peri-Alpine lakes and over a century of eutrophication and climate warming. We studied phylogenetic similarity in cyanobacterial assemblages over spatial and temporal distance, and over environmental gradients, comparing detected patterns with theoretical expectations from deterministic and stochastic processes. We found limited evidence for deviation of lake communities from a random assembly model and no significant effects of geographic distance on phylogenetic similarity, suggesting no dispersal limitation and high levels of stochastic assembly. We detected a weak influence of phosphorus, but no significant effect of nitrogen levels on deviation of community phylogenies from random. We found however a significant decay of phylogenetic similarity for non-random communities over a gradient of air temperature and water column stability. We show how phylogenetic data from sedimentary archives can improve our understanding of microbial community assembly processes, and support previous evidence that climate warming has been the strongest environmental driver of cyanobacterial community assembly over the past century.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cyanobacteria / genetics
  • Cyanobacteria / growth & development*
  • Cyanobacteria / isolation & purification
  • DNA, Bacterial / genetics
  • DNA, Bacterial / isolation & purification
  • Ecological Parameter Monitoring
  • Eutrophication / physiology*
  • Geologic Sediments / microbiology
  • Global Warming*
  • Lakes / microbiology*
  • Microbiota / physiology*
  • Phylogeny
  • RNA, Ribosomal, 16S / genetics
  • Spatio-Temporal Analysis

Substances

  • DNA, Bacterial
  • RNA, Ribosomal, 16S