Citation:

Banerji, A., M. Bagley, M. Elk, E. Pilgrim, J. Martinson, AND J. Santodomingo. Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding. HYDROBIOLOGIA. Springer, New York, NY, 818(1):71-86, (2018). https://doi.org/10.1007/s10750-018-3593-0

Impact/Purpose:

The work demonstrates how DNA metabarcoding might be used to supplement current approaches to biological monitoring of aquatic species and aquatic ecosystem status and provides insight into the spatio-temporal dynamics of the eukaryotic plankton community of an important multi-purpose freshwater reservoir. This information may be of interest to lake managers and to researchers within the fields of ecology, microbiology, and molecular biology.

Description:

DNA metabarcoding is a sophisticated molecular tool that can enhance biological surveys of freshwater plankton communities by providing broader taxonomic coverage and, for certain groups, higher taxonomic resolution compared to morphological methods. We conducted 18S rRNA gene metabarcoding analyses on 214 water samples collected over a four-month period from multiple sites within a freshwater reservoir. We detected 1,314 unique operational taxonomic units that included various metazoans, protists, chlorophytes, and fungi. Alpha diversity differed among sites, suggesting local habitat variation linked to differing species responses. Strong temporal variation was detected at both daily and monthly scales. Diversity and relative abundance patterns for several protist groups (including dinoflagellates, ciliates, and cryptophytes) differed from arthropods (e.g., cladocerans and copepods), a traditional focus of plankton surveys. This suggests that the protists respond to different environmental dimensions and may therefore provide additional information regarding ecosystem status. Comparison of the sequence-based population survey data to conventional-based data revealed similar trends for taxa that were ranked among the most abundant in both approaches, although some groups were missing in each data set. These results highlight the potential benefit of supplementing conventional biological survey approaches with metabarcoding to obtain a more comprehensive understanding of freshwater plankton community structure and dynamics.

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