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Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

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Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
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Related Experiment Video

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Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
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Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

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Improving dynamic phytoplankton reserve-utilization models with an indirect proxy for internal nitrogen.

Martino E Malerba1, Kirsten Heimann2, Sean R Connolly3

  • 1AIMS@JCU, James Cook University, Townsville, Queensland 4811, Australia; Australian Institute of Marine Science, Townsville, Queensland 4811, Australia; College of Marine and Environmental Sciences, James Cook University, Townsville, Queensland 4811, Australia.

Journal of Theoretical Biology
|May 25, 2016
PubMed
Summary

Red fluorescence reliably estimates internal nitrogen in phytoplankton, improving growth rate models. This method offers a practical alternative to direct nutrient measurements for ecological studies.

Keywords:
Allometric scalingCell nutrient statusDynamic modelsEcological modellingMarkov Chain Monte Carlo (MCMC)Nitrogen limitationPhytoplanktonQuotaState-space modelsStochastic simulations

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Area of Science:

  • Ecological modeling
  • Phytoplankton physiology
  • Biogeochemical cycles

Background:

  • Accurate phytoplankton growth rate modeling is crucial for understanding aquatic ecosystems.
  • Directly measuring intracellular nutrient concentrations is technically challenging and resource-intensive.
  • Red chlorophyll autofluorescence is a potential proxy for internal nitrogen status in phytoplankton.

Purpose of the Study:

  • To assess the reliability of using flow cytometric red fluorescence as a proxy for internal nitrogen to model phytoplankton growth rates.
  • To compare the performance of three calibration approaches for the Quota model: Nitrogen-Quota, Virtual-Quota, and Fluorescence-Quota.

Main Methods:

  • Developed and compared three calibration approaches for the Quota model using simulated and laboratory data.
  • The Fluorescence-Quota approach utilized per-cell red fluorescence as an indirect measure of internal nitrogen.
  • Evaluated model performance in describing phytoplankton dynamics and internal nitrogen quota trajectories.

Main Results:

  • The Fluorescence-Quota approach significantly enhanced the ability of Quota models to describe phytoplankton dynamics.
  • This method accurately captured phytoplankton nitrogen storage dynamics, a key biological process.
  • Red fluorescence proved to be a reliable proxy for internal nitrogen status.

Conclusions:

  • Incorporating red fluorescence as a proxy for internal nitrogen substantially improves phytoplankton growth rate modeling.
  • The Fluorescence-Quota approach offers a practical and effective method for ecological studies.
  • This methodology may be applicable to other ecological systems requiring indirect proxy measurements.