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

Autor: Jaroslav Vrba, Kumar Saurav, Klára Řeháková, Jan Mareš, Andreja Kust, Vincent Maicher, Zdeňka Benedová, Blanka Tesařová, Maria-Cecilia Chiriac, Pavel Hrouzek
Rok vydání: 2020
Předmět:
Cyanobacteria
Health
Toxicology and Mutagenesis
Population Dynamics
lcsh:Medicine
010501 environmental sciences
Toxicology
01 natural sciences
Liquid chromatography–mass spectrometry
Tandem Mass Spectrometry
liquid chromatography-tandem mass spectrometry
Chromatography
High Pressure Liquid
Planktocyclin
media_common
Czech Republic
0303 health sciences
biology
Ecology
Microbiota
dereplication strategy
Online Social Networking
Environmental chemistry
Molecular networking
Seasons
Water Microbiology
Environmental Monitoring
analytical_chemistry
Spectrometry
Mass
Electrospray Ionization
media_common.quotation_subject
Harmful Algal Bloom
Bacterial Toxins
cyanopeptides
Risk Assessment
Algal bloom
Article
global natural product social networking (GNPS)
03 medical and health sciences
Phytoplankton
Metabolomics
Ponds
Relative species abundance
030304 developmental biology
0105 earth and related environmental sciences
harmful bloom
lcsh:R
biology.organism_classification
Community composition
Environmental science
Marine Toxins
Eutrophication
Diversity (politics)
Zdroj: Toxins
Volume 12
Issue 9
Toxins, Vol 12, Iss 561, p 561 (2020)
ISSN: 2072-6651
Popis: 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.
Databáze: OpenAIRE
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