Dataset Information

GNPS - Dataset Creation from GNPS Molcular Networking - c2034223333641b3a06a72b40d27b2e4

ABSTRACT: 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 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. 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.

INSTRUMENT(S): impact

ORGANISM(S): Freshwater Phytoplankton Environmental Sample (ncbitaxon:940671)

SUBMITTER: Kumar Saurav

PROVIDER: MSV000085840 | GNPS | Tue Jul 28 07:38:00 BST 2020

REPOSITORIES: GNPS

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Publications

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

Kust Andreja A Řeháková Klára K Vrba Jaroslav J Maicher Vincent V Mareš Jan J Hrouzek Pavel P Chiriac Maria-Cecilia MC Benedová Zdeňka Z Tesařová Blanka B Saurav Kumar K

Toxins 20200831 9

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 quantif ...[more]

PMID: 32878042

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Dataset Information

GNPS - Dataset Creation from GNPS Molcular Networking - c2034223333641b3a06a72b40d27b2e4

Publications

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

Similar Datasets

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