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Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach
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SYSNO ASEP 0534432 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach Author(s) Kust, Andreja (MBU-M) ORCID
Řeháková, Klára (BU-J) RID, ORCID
Vrba, J. (CZ)
Maicher, V. (US)
Mareš, Jan (MBU-M) ORCID
Hrouzek, Pavel (MBU-M) ORCID
Chiriac, M.-C. (CZ)
Benedová, Z. (CZ)
Tesařová, B. (CZ)
Saurav, Kumar (MBU-M) ORCIDArticle number 561 Source Title Toxins. - : MDPI - ISSN 2072-6651
Roč. 12, č. 9 (2020)Number of pages 21 s. Language eng - English Country CH - Switzerland Keywords flos-aquae ; mass-spectrometry ; cyanobacterial peptides ; bioactive compounds Subject RIV EE - Microbiology, Virology OECD category Microbiology Subject RIV - cooperation Institute of Botany - Ecology, Behaviour R&D Projects EF18_070/0010493 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GJ19-17868Y GA ČR - Czech Science Foundation (CSF) GA17-09310S GA ČR - Czech Science Foundation (CSF) Method of publishing Open access Institutional support MBU-M - RVO:61388971 ; BU-J - RVO:67985939 UT WOS 000580918100001 EID SCOPUS 85090260915 DOI 10.3390/toxins12090561 Annotation 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. Workplace Institute of Microbiology Contact Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231 Year of Publishing 2021 Electronic address https://www.mdpi.com/2072-6651/12/9/561
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