Passive sampling for grazer cues incorporates top-down effects in harmful algal bloom monitoring and toxin prediction

Domoic acid (DA) produced by toxigenic species of the diatom genus Pseudo-nitzschia during harmful algal blooms (HABs) bioaccumulates in filter feeders, bait fish, and commercial seafood products, posing a threat to marine organisms and public health. Copepodamides, a group of polar lipids exuded by copepods, are known to induce DA production in multiple species of Pseudo-nitzschia . However, copepodamides are not currently considered in HAB monitoring and prediction, in part because of challenges associated with measuring ambient concentrations of dilute and labile compounds. Here we employ solid phase adsorption toxin tracking (SPATT) to measure natural concentrations of copepodamides over 28 mo in Monterey Bay, California, a known hotspot for HAB events. Copepodamides were significantly correlated to copepod biovolume, confirming utility as a zooplankton proxy. In generalized linear models, copepodamides from SPATT provided greater accuracy and lead time for predicting Pseudo-nitzschia abundance and DA concentration in sentinel mussels than DA from SPATT. Field experiments in the Northeast Atlantic assessed sampling methodology, and lab experiments demonstrated DA induction in Pseudo-nitzschia multiseries isolated from Monterey Bay. Results show potential for copepodamides to improve HAB predictions and encourage development of novel approaches to include top-down information in HAB monitoring systems.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-09-30
DOI
https://doi.org/10.1073/pnas.2604233123
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Passive sampling for grazer cues incorporates top-down effects in harmful algal bloom monitoring and toxin prediction

Aubrey Trapp, Raphael M. Kudela, Erik Selander, Melissa B. Peacock et al.
Proceedings of the National Academy of Sciences
Aquatic Ecosystems and Phytoplankton Dynamics
article

Passive sampling for grazer cues incorporates top-down effects in harmful algal bloom monitoring and toxin prediction

Aubrey Trapp, Raphael M. Kudela, Erik Selander, Melissa B. Peacock, Ada Behncké-Serra
article en

Abstract

Domoic acid (DA) produced by toxigenic species of the diatom genus Pseudo-nitzschia during harmful algal blooms (HABs) bioaccumulates in filter feeders, bait fish, and commercial seafood products, posing a threat to marine organisms and public health. Copepodamides, a group of polar lipids exuded by copepods, are known to induce DA production in multiple species of Pseudo-nitzschia . However, copepodamides are not currently considered in HAB monitoring and prediction, in part because of challenges associated with measuring ambient concentrations of dilute and labile compounds. Here we employ solid phase adsorption toxin tracking (SPATT) to measure natural concentrations of copepodamides over 28 mo in Monterey Bay, California, a known hotspot for HAB events. Copepodamides were significantly correlated to copepod biovolume, confirming utility as a zooplankton proxy. In generalized linear models, copepodamides from SPATT provided greater accuracy and lead time for predicting Pseudo-nitzschia abundance and DA concentration in sentinel mussels than DA from SPATT. Field experiments in the Northeast Atlantic assessed sampling methodology, and lab experiments demonstrated DA induction in Pseudo-nitzschia multiseries isolated from Monterey Bay. Results show potential for copepodamides to improve HAB predictions and encourage development of novel approaches to include top-down information in HAB monitoring systems.

Proceedings of the National Academy of SciencesVol. 123(40)
University of California, Santa Cruz (US), Lund University (SE), Northwest Indian College (US)
Zero hunger
Openalex Percentile: Top 54%
Aquatic Ecosystems and Phytoplankton Dynamics
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.

Passive sampling for grazer cues incorporates top-down effects in harmful algal bloom monitoring and toxin prediction — Aubrey Trapp, Raphael M. Kudela, et al. · Proceedings of the National Academy of Sciences (2026) | TGRS Research Map | TGRS