Depth-dependent dynamics of protist communities as an integral part of spring succession in a freshwater reservoir
Mukherjee, I.; Grujcic, V.; Salcher, M. M.; Znachor, P.; Seda, J.; Devetter, M.; Rychtecky, P.; Simek, K.; Shabarova, T.
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BackgroundProtists are essential contributors to eukaryotic diversity and exert profound influence on carbon fluxes and energy transfer in freshwaters. Despite their significance, there is a notable gap in research on protistan dynamics, particularly in the deeper strata of temperate lakes. This study aimed to address this gap by integrating protists into the well-described spring dynamics of [R]imov reservoir, Czech Republic. Over a two-month period covering transition from mixing to established stratification, we collected water samples from three reservoir depths (0.5, 10 and 30 m) with a frequency of up to three times per week. Microbial eukaryotic and prokaryotic communities were analysed using SSU rRNA gene amplicon sequencing and dominant protistan groups were enumerated by Catalysed Reporter Deposition-Fluorescence in situ Hybridization (CARD-FISH). Additionally, we collected samples for water chemistry, phyto- and zooplankton composition analyses. ResultsFollowing the rapid changes in environmental and biotic parameters during spring, protistan and bacterial communities displayed swift transition from a homogeneous community to distinct strata-specific communities. Epilimnion exhibited the prevalence of auto-, mixotrophic protists dominated by cryptophytes and associated with spring algal bloom-specialized bacteria. In contrast, meta- and hypolimnion showcased the development of protist community dominated by putative parasitic Perkinsozoa, detritus or particle-associated ciliates, cercozoans and excavate protists co-occurring with bacteria associated with lake snow. ConclusionsOur high-resolution sampling matching the typical dividing time of microbes along with the combined microscopic and molecular approach and inclusion of all the components of microbial food web allowed us to follow depth-specific populations successions and interactions in a deep lentic ecosystem.
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