4.5 Article

Effects of differences in organic supply on bacterial diversity subject to viral lysis

Journal

FEMS MICROBIOLOGY ECOLOGY
Volume 83, Issue 1, Pages 202-213

Publisher

OXFORD UNIV PRESS
DOI: 10.1111/j.1574-6941.2012.01463.x

Keywords

bacterial diversity; 16S rRNA gene; organic carbon composition; virus control; Thalassiosira sp; Phaeocystis pouchetii

Categories

Funding

  1. University of Bergen
  2. Research Council of Norway [175939/S30, 71]
  3. EU through ERC [250254]

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Bacterial diversity is believed to be controlled both by bottom-up and top-down mechanisms such as nutrient competition, predation and viral lysis. We hypothesise that lytic viruses create trophic niches within bacterial communities, and thus primarily control richness and evenness, while substrate composition primarily controls community composition, that is, the inhabitants of these niches. To investigate this, we studied diversity of mixed bacterial communities subject to viruses under different regimes of organic matter supply. From a predator-free inoculum, bacterial communities were allowed to develop in batch cultures where the organic substrate was either a single compound [glucose (G)] or more complex mixtures produced by phytoplankton [Phaeocystis pouchetii (P) or Thalassiosira sp. (T)]. Throughout the experiment, c. 98% of the sequences in treatment G belonged to the Gammaproteobacteria class, which dominated also in the initial phase of the other treatments [T (c. 87%) and P (62%)]. In treatment T, the composition shifted to a dominance of Alphaproteobacteria (c. 37%), while in P, the proportion of Gammaproteobacteria remained stable. Richness increased with increasing substrate complexity, while evenness remained similar in the different treatments. The results suggest that both substrate composition (bottom-up) and viral lysis (top-down) operate simultaneously in the control of bacterial diversity. Despite the reduction in factors supposed to influence prokaryote diversity, the system was still complex if taken into account the potential synergistic interactions within and between the remaining factors.

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