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Maria-Cecilia Chiriac
Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, 37005 České Budějovice, Czech Republic

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Journal article
Published: 31 August 2020 in Toxins
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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.

ACS Style

Andreja Kust; Klára Řeháková; Jaroslav Vrba; Vincent Maicher; Jan Mareš; Pavel Hrouzek; Maria-Cecilia Chiriac; Zdeňka Benedová; Blanka Tesařová; Kumar Saurav. Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach. Toxins 2020, 12, 561 .

AMA Style

Andreja Kust, Klára Řeháková, Jaroslav Vrba, Vincent Maicher, Jan Mareš, Pavel Hrouzek, Maria-Cecilia Chiriac, Zdeňka Benedová, Blanka Tesařová, Kumar Saurav. Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach. Toxins. 2020; 12 (9):561.

Chicago/Turabian Style

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

Preprint
Published: 12 August 2020
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Man-made shallow fishponds in the Czech Republic have been facing a high eutrophication since 1950s. Anthropogenic eutrophication and feeding of fish have strongly affected the physico-chemical properties of water and its aquatic community composition leading to harmful algal bloom formation. In our current study, we have characterised the phytoplankton community across three hypertrophic ponds to assess the phytoplankton dynamics during the vegetation season. We microscopically identified and quantified 29 cyanobacterial taxa comprised of 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 dereplication strategy. This MS networking approach coupled with dereplication on 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 epidolastatin12. We have applied the binary logistic regression to estimate the CNPs producer by correlating the GNPS data with the species abundance. Usage of The combination of molecular networking and dereplication on online global natural product social networking (GNPS) web platform has proved as a valuable approach for rapid and simultaneous detection of high number of peptides, and rapidly assessing the risk for harmful bloom.

ACS Style

Andreja Kust; Klára Řeháková; Jaroslav Vrba; Vincent Maicher; Jan Mareš; Pavel Hrouzek; Cecilia Chiriac; Zdeňka Benedová; Blanka Tesařová; Kumar Saurav. Insight Into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using a MS/MS Networking Approach. 2020, 1 .

AMA Style

Andreja Kust, Klára Řeháková, Jaroslav Vrba, Vincent Maicher, Jan Mareš, Pavel Hrouzek, Cecilia Chiriac, Zdeňka Benedová, Blanka Tesařová, Kumar Saurav. Insight Into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using a MS/MS Networking Approach. . 2020; ():1.

Chicago/Turabian Style

Andreja Kust; Klára Řeháková; Jaroslav Vrba; Vincent Maicher; Jan Mareš; Pavel Hrouzek; Cecilia Chiriac; Zdeňka Benedová; Blanka Tesařová; Kumar Saurav. 2020. "Insight Into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using a MS/MS Networking Approach." , no. : 1.