Tracking Extensive Portfolio of Cyanotoxins in Five-Year Lake Survey and Identifying Indicator Metabolites of Cyanobacterial Taxa

Cyanobacterial blooms require monitoring, as they pose a threat to ecosystems and human health, especially by the release of toxins. Along with widely reported microcystins, cyanobacteria coproduce other bioactive metabolites; however, information about their dynamics in surface waters is sparse. We investigated dynamics across full bloom successions throughout a five-year lake monitoring campaign (Greifensee, Switzerland) spanning 150 sampling dates. We conducted extensive suspect screening of cyanobacterial metabolites using the database CyanoMetDB. Across all 850 samples, 35 metabolites regularly co-occurred. Microcystins were present in 70% of samples, with [d-Asp<sup>3</sup>,(<i>E</i>)-Dhb<sup>7</sup>]MC-RR reaching concentrations of 70 ng/L. Anabaenopeptins, meanwhile, were detected in 95% of all samples with concentrations of Oscillamide Y up to 100-fold higher than microcystins. Based on LC-MS response and frequency, we identified indicator metabolites exclusively produced by one of three cyanobacteria isolated from the lake, these being [d-Asp<sup>3</sup>,(<i>E</i>)-Dhb<sup>7</sup>]MC-RR from <i>Planktothrix</i> sp. G2020, Microginin 761B from <i>Microcystis</i> sp. G2011, and Ferintoic acid B from <i>Microcystis</i> sp. G2020. These indicators showed distinct temporal trends and peaking seasons that reflect the variance in either the abundance of the producing cyanobacteria or their toxin production dynamics. Our approach demonstrates that selecting high LC-MS response and frequent and species-specific indicator metabolites can be advantageous for cyanobacterial monitoring.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2024-08-30
DOI
https://doi.org/10.1021/acs.est.4c04813
Citations
12
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
Field-Weighted Citation Impact
3.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tracking Extensive Portfolio of Cyanotoxins in Five-Year Lake Survey and Identifying Indicator Metabolites of Cyanobacterial Taxa

Elisabeth M.‐L. Janssen, Francesco Pomati, Marta Reyes, Simon Wullschleger et al.
12 citations
Environmental Science & Technology
Aquatic Ecosystems and Phytoplankton Dynamics
3.00
article

Tracking Extensive Portfolio of Cyanotoxins in Five-Year Lake Survey and Identifying Indicator Metabolites of Cyanobacterial Taxa

Elisabeth M.‐L. Janssen, Francesco Pomati, Marta Reyes, Simon Wullschleger, Martin R. Jones, Xuejian Wang, Raphaël Bossart
article en
12 citations

Abstract

Cyanobacterial blooms require monitoring, as they pose a threat to ecosystems and human health, especially by the release of toxins. Along with widely reported microcystins, cyanobacteria coproduce other bioactive metabolites; however, information about their dynamics in surface waters is sparse. We investigated dynamics across full bloom successions throughout a five-year lake monitoring campaign (Greifensee, Switzerland) spanning 150 sampling dates. We conducted extensive suspect screening of cyanobacterial metabolites using the database CyanoMetDB. Across all 850 samples, 35 metabolites regularly co-occurred. Microcystins were present in 70% of samples, with [d-Asp<sup>3</sup>,(<i>E</i>)-Dhb<sup>7</sup>]MC-RR reaching concentrations of 70 ng/L. Anabaenopeptins, meanwhile, were detected in 95% of all samples with concentrations of Oscillamide Y up to 100-fold higher than microcystins. Based on LC-MS response and frequency, we identified indicator metabolites exclusively produced by one of three cyanobacteria isolated from the lake, these being [d-Asp<sup>3</sup>,(<i>E</i>)-Dhb<sup>7</sup>]MC-RR from <i>Planktothrix</i> sp. G2020, Microginin 761B from <i>Microcystis</i> sp. G2011, and Ferintoic acid B from <i>Microcystis</i> sp. G2020. These indicators showed distinct temporal trends and peaking seasons that reflect the variance in either the abundance of the producing cyanobacteria or their toxin production dynamics. Our approach demonstrates that selecting high LC-MS response and frequent and species-specific indicator metabolites can be advantageous for cyanobacterial monitoring.

Environmental Science & TechnologyVol. 58(37)
Swiss Federal Institute of Aquatic Science and Technology (CH), University of Birmingham (GB)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz
Life below water
Openalex Percentile: Top 9%
Aquatic Ecosystems and Phytoplankton Dynamics
3.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.