Abstract
Assessing phytoplankton diversity is of primary importance for both basic and applied ecological studies. Following the advances in molecular methods, phytoplankton studies are switching from using classical microscopy to high throughput sequencing approaches. However, methodological comparisons of these approaches have rarely been reported. In this study, we compared the two methods, using a unique dataset of multiple water samples taken from a natural freshwater environment. Environmental DNA was extracted from 300 water samples collected weekly during 20 years, followed by high throughput sequencing of amplicons from the 16S and 18S rRNA hypervariable regions. For each water sample, phytoplankton diversity was also estimated using light microscopy. Our study indicates that species compositions detected by light microscopy and 454 high throughput sequencing do not always match. High throughput sequencing detected more rare species and picoplankton than light microscopy, and thus gave a better assessment of phytoplankton diversity. However, when compared to light microscopy, high throughput sequencing of 16S and 18S rRNA amplicons did not adequately identify phytoplankton at the species level. In summary, our study recommends a combined strategy using both morphological and molecular techniques.
Highlights
Phytoplankton comprises photosynthesizing microscopic organisms that live in almost all fresh and saline water bodies
Phytoplankton species are highly diverse with respect to cell size and many are too small to be identified by light microscopy
The present study determined phytoplankton composition in Lake Gjersjøen using 454 amplicon sequencing of both 16S and 18S rRNA genes and compared these results with those produced by light microscopy
Summary
Phytoplankton comprises photosynthesizing microscopic organisms that live in almost all fresh and saline water bodies. All comparative methodological studies – either in freshwater [15,16] or coastal systems [14] – are based on a limited number of samples collected during a limited time period (i.e. several seasons) The outcome of such studies may be biased by seasonal variations in the phytoplankton community structure and may underestimate the total phytoplankton diversity. A series of phytoplankton samples, covering the years 1969 to 1989, were taken as filter samples and stored under conditions preserving DNA over longer periods of time Using this series, the present study determined phytoplankton composition in Lake Gjersjøen using 454 amplicon sequencing of both 16S and 18S rRNA genes (from pooled replicates) and compared these results with those produced by light microscopy
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