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Article

Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach

1
Laboratory of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, 37901 Třeboň, Czech Republic
2
Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, 37005 České Budějovice, Czech Republic
3
Institute of Botany of the Czech Academy of Sciences, 37901 Třeboň, Czech Republic
4
Faculty of Science, University of South Bohemia, 37005 České Budějovice, Czech Republic
5
Nicholas School of the Environment, Duke University, Durham, NC 27710, USA
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ENKI, o.p.s. Třeboň, Dukelská 145, 37901 Třeboň, Czech Republic
7
Faculty of Agriculture, University of South Bohemia, Applied Ecology Laboratory, 37005 České Budějovice, Czech Republic
*
Author to whom correspondence should be addressed.
Toxins 2020, 12(9), 561; https://doi.org/10.3390/toxins12090561
Received: 7 August 2020 / Revised: 24 August 2020 / Accepted: 28 August 2020 / Published: 31 August 2020
Man-made shallow fishponds in the Czech Republic have been facing high eutrophication since the 1950s. Anthropogenic eutrophication and feeding of fish have strongly affected the physicochemical properties of water and its aquatic community composition, leading to harmful algal bloom formation. In our current study, we characterized the phytoplankton community across three eutrophic ponds to assess the phytoplankton dynamics during the vegetation season. We microscopically identified and quantified 29 cyanobacterial taxa comprising non-toxigenic and toxigenic species. Further, a detailed cyanopeptides (CNPs) profiling was performed using molecular networking analysis of liquid chromatography-tandem mass spectrometry (LC-MS/MS) data coupled with a dereplication strategy. This MS networking approach, coupled with dereplication, on the online global natural product social networking (GNPS) web platform led us to putatively identify forty CNPs: fourteen anabaenopeptins, ten microcystins, five cyanopeptolins, six microginins, two cyanobactins, a dipeptide radiosumin, a cyclooctapeptide planktocyclin, and epidolastatin 12. We applied the binary logistic regression to estimate the CNPs producers by correlating the GNPS data with the species abundance. The usage of the GNPS web platform proved a valuable approach for the rapid and simultaneous detection of a large number of peptides and rapid risk assessments for harmful blooms. View Full-Text
Keywords: cyanobacteria; cyanopeptides; harmful bloom; liquid chromatography-tandem mass spectrometry; global natural product social networking (GNPS); dereplication strategy cyanobacteria; cyanopeptides; harmful bloom; liquid chromatography-tandem mass spectrometry; global natural product social networking (GNPS); dereplication strategy
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MDPI and ACS Style

Kust, A.; Řeháková, K.; Vrba, J.; Maicher, V.; Mareš, J.; Hrouzek, P.; Chiriac, M.-C.; Benedová, Z.; Tesařová, B.; Saurav, K. Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach. Toxins 2020, 12, 561. https://doi.org/10.3390/toxins12090561

AMA Style

Kust A, Řeháková K, Vrba J, Maicher V, Mareš J, Hrouzek P, Chiriac M-C, Benedová Z, Tesařová B, Saurav K. Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach. Toxins. 2020; 12(9):561. https://doi.org/10.3390/toxins12090561

Chicago/Turabian Style

Kust, Andreja, Klára Řeháková, Jaroslav Vrba, Vincent Maicher, Jan Mareš, Pavel Hrouzek, Maria-Cecilia Chiriac, Zdeňka Benedová, Blanka Tesařová, and Kumar Saurav. 2020. "Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach" Toxins 12, no. 9: 561. https://doi.org/10.3390/toxins12090561

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