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A High-Throughput Assay for Quantifying Phenotypic Traits of Microalgae.

Phoebe A Argyle1, Jana Hinners2, Nathan G Walworth3

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|October 25, 2021
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Summary

A new quantitative phenotypic assay (QPA) enables high-throughput microalgae phenotyping in multi-well plates. This method efficiently measures 10 traits, facilitating research and commercial applications for phytoplankton screening.

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Area of Science:

  • Marine Biology
  • Phycology
  • Biotechnology

Background:

  • High-throughput phenotyping of microalgae is crucial for research and commercial sectors.
  • Cultivating microalgae in multi-well plates reduces costs and handling for experimental studies.
  • Existing methods often lack the throughput or comprehensive trait analysis required.

Purpose of the Study:

  • To develop a high-throughput quantitative phenotypic assay (QPA) for microalgae.
  • To integrate 10 low-volume trait measurements into a single, efficient workflow.
  • To demonstrate the QPA's utility for phenotyping diverse microalgae strains and assessing trait plasticity.

Main Methods:

  • Developed a quantitative phenotypic assay (QPA) for microalgae in multi-well plates.
  • Integrated 10 trait measurements: growth rate, cell size, granularity, chlorophyll a, neutral lipid content, silicification, reactive oxygen species, and photophysiology (ETRmax, Ik, alpha).
  • Applied the QPA to six strains of *Thalassiosira* spp. in f/2 media; analyzed data using principal component analysis.

Main Results:

  • The QPA successfully phenotyped six *Thalassiosira* strains, quantifying 10 different traits.
  • Principal component analysis simplified multivariate phenotypes into a two-dimensional trait-scape.
  • Observed consistent trait patterns in small-volume cultures compared to large volumes, supporting trait plasticity studies.

Conclusions:

  • The QPA provides a robust framework for high-throughput microalgae phenotyping, adaptable to various traits and taxa.
  • This assay facilitates rapid phenotyping of newly isolated strains within weeks.
  • The QPA supports diverse applications including experimental evolution, ecological modeling, and commercial phytoplankton screening.