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Related Experiment Video

Updated: Jul 17, 2025

Chromatin Immunoprecipitation in the Cnidarian Model System Exaiptasia diaphana

Chromatin Immunoprecipitation in the Cnidarian Model System Exaiptasia diaphana

Published on: March 17, 2023

Developing model systems for dinoflagellates in the post-genomic era.

Hisatake Ishida¹, Uwe John^2,3, Shauna A Murray⁴

¹School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, Queensland, Australia.

Journal of Phycology

|September 1, 2023

Summary

This summary is machine-generated.

Developing dinoflagellate models is crucial for understanding these diverse microbes. A flexible, "fit-to-purpose" approach is needed, rather than a single model, to capture their complex biology and ecological roles.

Keywords:

dinoflagellate model phytoplankton symbiosis

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High-Throughput Metabolic Profiling for Model Refinements of Microalgae

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

Area of Science:

Marine Microbiology
Eukaryotic Microbial Ecology
Genomics

Background:

Dinoflagellates are ubiquitous aquatic microbes with diverse lifestyles, including photosynthetic, symbiotic, and parasitic forms.
Many dinoflagellates produce toxins causing harmful algal blooms, while symbiotic species are vital for coral reefs.
A decade of genome data has revealed significant evolutionary and genomic complexities in dinoflagellates.

Purpose of the Study:

To discuss the development of dinoflagellate model systems.
To evaluate potential models based on accessibility, tractability, resources, research support, and promise.
To advocate for context-specific models over a universal approach in the post-genomic era.

Main Methods:

Review of existing dinoflagellate research and genomic resources.
Discussion of criteria for establishing model organisms.
Analysis of the suitability of different dinoflagellate lineages as models.

Main Results:

Genome-scale data are increasingly available for dinoflagellates, highlighting their complexity.
No single model organism adequately represents the diversity of dinoflagellates.
Developing 'fit-to-purpose' models tailored to specific research questions is essential.

Conclusions:

The development of dinoflagellate model systems requires careful consideration of biological context.
A flexible, multi-model approach is necessary to address the diverse biology and ecology of dinoflagellates.
Future research should focus on creating specialized models for specific research needs in the post-genomic era.