Abstract

The structure of microbial communities, microalgae, heterotrophic protozoa and fungi contributes to characterize food webs and productivity and, from an anthropogenic point of view, the qualitative characteristics of water bodies. Traditionally, in freshwater environments many investigations have been directed to the study of pelagic microalgae (“phytoplankton”) and periphyton (i.e., photosynthetic and mixotrophic protists) through the use of light microscopy (LM). While the number of studies on bacterioplankton communities have shown a substantial increase after the advent of high-throughput sequencing (HTS) approaches, the study of the composition, structure, and spatio-temporal patterns of microbial eukaryotes in freshwater environments was much less widespread. Moreover, the understanding of the correspondence between the relative phytoplankton abundances estimated by HTS and LM is still incomplete. Taking into account these limitations, this study examined the biodiversity and seasonality of the community of eukaryotic microplankton in the epilimnetic layer of a large and deep perialpine lake (Lake Garda) using HTS. The analyses were carried out at monthly frequency during 2014 and 2015. The results highlighted the existence of a rich and well diversified community and the presence of numerous phytoplankton taxa that were never identified by LM in previous investigations. Furthermore, the relative abundances of phytoplankton estimated by HTS and LM showed a significant relationship at different taxonomic ranks. In the 2 years of investigation, the temporal development of the whole micro-eukaryotic community showed a clear non-random and comparable distribution pattern, with the main taxonomic groups coherently distributed in the individual seasons. In perspective, the results obtained in this study highlight the importance of HTS approaches in assessing biodiversity and the relative importance of the main protist groups along environmental gradients, including those caused by anthropogenic impacts (e.g., eutrophication and climate change).

Highlights

  • Microbial eukaryotes are a large polyphyletic assemblage of organisms that include many groups that are more closely related to plants, fungi or animals than they are to other protists (Campbell et al, 2008)

  • The temporal dynamics of phytoplankton were historically investigated in many typologies of waterbodies, laying the foundation for the generalization of temporal patterns and seasonality of the main taxonomic groups determined by light microscopy (LM) (Sommer et al, 2012; De Senerpont Domis et al, 2013)

  • Water temperature was positively correlated with pH (ρ = 0.54; p < 0.001) and negatively correlated (−0.87 < ρ < −0.36; p < 0.01) with O2 (8.7–12.9 mg L−1), conductivity (202–229 μS cm−1), alkalinity (116–163 mg L−1), NO3-N (69–383 μg N L−1), silica (0.05–0.74 mg Si L−1), soluble reactive phosphorus (SRP) (0.6–19.9 μg P L−1), and total phosphorus (TP) (1.0–27.4 μg P L−1)

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Summary

Introduction

Microbial eukaryotes are a large polyphyletic assemblage of organisms that include many groups that are more closely related to plants, fungi or animals than they are to other protists (Campbell et al, 2008). The structure and abundance of microbial communities, microalgae, heterotrophic protozoans and fungi contribute to control productivity levels and characterize trophic webs and, from an anthropogenic perspective, the qualitative characteristics of waterbodies. In freshwater environments, the majority of the investigations were historically addressed toward the study of microalgae, either pelagic (“phytoplankton”) (Padisák, 2004; Reynolds, 2006) or periphytic (Rimet et al, 2015). These two broads and loosely defined functional groups are composed of a wide variety of photosynthetic and mixotrophic organisms that show specific adaptations to different lake typologies and trophic status. The knowledge of the key ecological roles of freshwater planktic microeukaryote communities has been limited by incomplete inventories of diversity (Cotterill et al, 2008; Grossmann et al, 2016)

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