Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

697
Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
697
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

533
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...
533
Bacterial Growth Curve01:28

Bacterial Growth Curve

997
The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
997

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prokaryotic bias in surface ocean particles.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Mechanistic understanding of nitrate reduction as the dominant production pathway of nitrous oxide in marine oxygen minimum zones.

Nature communications·2025
Same author

Substrate Effect on the Contribution of Ammonium and Urea to Marine Nitrification and Nitrous Oxide Production.

Environmental microbiology·2025
Same author

Multimodal Treatment Combinations and Layering to Restructure the Aging Face: Recommendations From an Expert Panel.

Plastic and reconstructive surgery. Global open·2025
Same author

New approaches to categorising childhood disability: an international comparative analysis of the UNICEF/Washington Group child functioning module.

Disability and health journal·2025
Same author

Aesthetic Efficacy and Safety of Combined Microfocused Ultrasound With Visualization and Calcium Hydroxylapatite Treatment: A Systematic Review of Human Evidence.

Aesthetic surgery journal·2025

Related Experiment Video

Updated: Oct 15, 2025

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism
07:38

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism

Published on: September 30, 2018

42.7K

Evaluation of Genomic Sequence-Based Growth Rate Methods for Synchronized Synechococcus Cultures.

Julia Carroll1, Nicolas Van Oostende1, Bess B Ward1

  • 1Department of Geosciences, Princeton Universitygrid.16750.35, Princeton, New Jersey, USA.

Applied and Environmental Microbiology
|October 27, 2021
PubMed
Summary

New DNA sequencing methods (SBM) can detect bacterial DNA replication but do not accurately measure microbial growth rates. These methods correlate with cell cycle phases but are unreliable for quantifying growth in ocean cyanobacteria like Synechococcus.

Keywords:
GRiDSynechococcusbPTRcell cyclegrowth rateiRepmetagenomic growth rate estimatorsequence-based method

More Related Videos

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

24.3K
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
11:19

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

8.3K

Related Experiment Videos

Last Updated: Oct 15, 2025

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism
07:38

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism

Published on: September 30, 2018

42.7K
Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

24.3K
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
11:19

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

8.3K

Area of Science:

  • Marine microbiology and biogeochemistry
  • Molecular ecology and microbial physiology

Background:

  • Microbial growth rates are crucial for understanding marine carbon and nitrogen cycles.
  • Taxon-specific growth rates are needed to attribute biogeochemical processes to individual species, especially in diverse assemblages like Synechococcus and Prochlorococcus.

Purpose of the Study:

  • To evaluate three novel DNA sequencing-based methods (iRep, bPTR, GRiD) for assessing microbial growth rates.
  • To compare sequencing-based method (SBM) results with standard techniques (in vivo fluorescence, cell cycle analysis) in Synechococcus cultures.

Main Methods:

  • Cultured light-synchronized Synechococcus under varying light intensities and temperatures.
  • Applied three DNA sequencing-based methods (iRep, bPTR, GRiD).
  • Used in vivo fluorescence and cell cycle analysis as standard growth rate proxies.

Main Results:

  • None of the DNA sequencing-based methods (SBM) correlated with growth rates determined by standard methods.
  • All three SBM correlated with the percentage of cells in the S phase (DNA replication) over the diel cycle.
  • Diel cyclicity in microbes complicates the application of SBM for growth rate determination in natural environments.

Conclusions:

  • DNA sequencing-based methods can detect DNA replication and cell cycle phases but are not quantitatively accurate for determining absolute growth rates in Synechococcus.
  • Caution is advised when applying these SBM to natural microbial communities exhibiting diel cycles, as they may not reflect true growth rates.