2016
DOI: 10.1111/fwb.12803
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Comparing microscopic counts and pigment analyses in 46 phytoplankton communities from lakes of different trophic state

Abstract: 00000 ăWOS:000386021300002International audience1. Comparison between algal pigment analyses using HPLC and subsequent CHEMTAX analysis with microscopic counts from different lakes ranging from ultra-oligotrophic to eutrophic allowed testing of pigment: chlorophyll a ratios for lakes of different trophic conditions. Microscopic counts and pigment analyses were positively correlated for all groups except for the chrysophytes. 2. When examining the oligotrophic lakes only, microscopic analyses and pigment analys… Show more

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Cited by 34 publications
(26 citation statements)
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“…Because small and overlooked species may be ignored by microscopy, actual species diversity may be more accurately determined by pigment analysis. This was confirmed by analysis of phytoplankton species in more than 40 lakes, where a higher Shannon's diversity index was determined by pigment analyses than by microscopy counting (Schlüter et al 2016). An additional advantage of the pigment method is that rare species in low densities can be identified but may be overlooked by microscopy.…”
Section: Pigment Analysis Versus Microscopy For Characterization Of Pmentioning
confidence: 79%
See 1 more Smart Citation
“…Because small and overlooked species may be ignored by microscopy, actual species diversity may be more accurately determined by pigment analysis. This was confirmed by analysis of phytoplankton species in more than 40 lakes, where a higher Shannon's diversity index was determined by pigment analyses than by microscopy counting (Schlüter et al 2016). An additional advantage of the pigment method is that rare species in low densities can be identified but may be overlooked by microscopy.…”
Section: Pigment Analysis Versus Microscopy For Characterization Of Pmentioning
confidence: 79%
“…The filters were sonicated in an ice-cool sonication bath for 10 min, extracted further at 4°C for 20 h and mixed using a vortex mixer for 10 s. The filters and cell debris were filtered from the extracts into HPLC vials using disposable syringes and 0.2 µm Teflon syringe filters. Pigment analyses were carried out according to Schlüter et al (2016) using the Van Heukelem & Thomas (2001) method, but with an adjusted pump gradient to optimise the pigment resolution. More than 30 different phytoplankton caro tenoids and chlorophylls can be detected.…”
Section: Pigment Analysismentioning
confidence: 99%
“…Microscopic counts allowed us to identify the algal classes present in the samples (viz., diatoms, chlorophytes, and cyanobacteria), thus the pigment ratio table for CHEMTAX was adjusted accordingly. The pigment/chlorophyll a ratio matrix from Schlüter et al (2016) was used as initial ratio matrix, from which 60 different ratio matrices were generated for each treatment. Of these, the six matrices (10%) with the lowest residual root mean square were averaged to create a new input ratio matrix, which was run repeatedly until the ratios and root mean squares were stable.…”
Section: Methodsmentioning
confidence: 99%
“…Pigments were identified via comparisons of retention times with those of pure standards DHI Water (Høersholm, Denmark). The pigment content from each sample was used to estimate the contribution of different phytoplankton groups to the total chlorophyll a, using the software CHEMTAX (Mackey et al, 1996), and initial matrices with pigment:chl-a ratios previously described for freshwater systems (Sarmento and Descy, 2008;Schlüter et al, 2016). A total of 60 randomized ratio matrices were constructed from the initial ratios for each dataset, and the program was run 60 times.…”
Section: Sample Processingmentioning
confidence: 99%
“…Nevertheless, metatranscriptomics alone is not sufficient to determine the taxonomic composition of an active community and demands complementary approaches (Shakya et al, 2019). For phytoplankton communities, the analysis of group-specific accessory pigment patterns provides a fast method that is frequently used to identify phytoplankton functional taxonomic composition (Mackey et al, 1996;Sarmento and Descy, 2008;Schlüter et al, 2016).…”
Section: Introductionmentioning
confidence: 99%