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

Evolution of Microbial Genome01:08

Evolution of Microbial Genome

2
Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.
2
Bacterial Growth Curve01:28

Bacterial Growth Curve

4.7K
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...
4.7K
Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

50.1K
The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
50.1K
Exponential Growth01:29

Exponential Growth

136
Bacterial populations exhibit exponential growth when conditions such as nutrient availability and temperature are favorable. In this phase, cells reproduce through binary fission, where each cell divides into two identical daughter cells. This process causes the population to double at regular intervals, resulting in a growth rate that is directly proportional to the current number of cells. As the population increases, the number of new cells formed during each generation also grows, creating...
136
Stringent Response in E. coli01:23

Stringent Response in E. coli

457
Bacterial growth is closely tied to nutrient availability, with cells proliferating exponentially under favorable conditions and entering a stationary phase when resources become scarce. This transition is mediated by a regulatory mechanism known as the stringent response, which allows bacteria to adapt to nutrient deprivation by modulating gene expression and metabolic activity.During nutrient scarcity, intracellular amino acid levels decline. It results in the accumulation of uncharged tRNAs...
457
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

2.5K
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,...
2.5K

You might also read

Related Articles

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

Sort by
Same author

The applicability of pregnancy diagnosis using interferon-stimulated genes in embryo-transferred Japanese Black cattle.

Veterinary research communications·2026
Same author

Modeling time to visual insight in Mooney image recognition with a chaotic recurrent neural network.

Cognitive neurodynamics·2026
Same author

Novel Online Platform for Trauma Care-Integrating Trauma Phenotypes to Optimize the Trauma and Injury Severity Score Model: Retrospective Cohort Study.

JMIR medical informatics·2026
Same author

Cleaning reshapes bacterial communities in public toilets through disturbance and random reassembly.

Scientific reports·2026
Same author

Machine Learning Reveals Quantitative Amino Acid Preferences in Bifidobacterium longum Growth.

Microbial biotechnology·2026
Same author

Time Series Data Mining for Linking the Shape of Bacterial Growth Curves to Biological Functions.

Computational and structural biotechnology journal·2026

Related Experiment Video

Updated: Mar 18, 2026

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

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

25.1K

Correlation between genome reduction and bacterial growth.

Masaomi Kurokawa1, Shigeto Seno2, Hideo Matsuda2

  • 1Graduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki 305-8572, Japan.

DNA Research : an International Journal for Rapid Publication of Reports on Genes and Genomes
|July 5, 2016
PubMed
Summary
This summary is machine-generated.

Bacterial genome reduction, by removing non-essential DNA, impacts growth rate and cell density. This study quantifies how cumulative DNA loss affects bacterial growth dynamics, offering insights for genome engineering.

Keywords:
accessory genedispensable genomic sequencegenome reductiongrowth rate

More Related Videos

Enhanced Reproducibility and Precision of High-Throughput Quantification of Bacterial Growth Data Using a Microplate Reader
09:15

Enhanced Reproducibility and Precision of High-Throughput Quantification of Bacterial Growth Data Using a Microplate Reader

Published on: July 27, 2022

2.9K
Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains
06:45

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains

Published on: January 18, 2014

9.1K

Related Experiment Videos

Last Updated: Mar 18, 2026

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

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

25.1K
Enhanced Reproducibility and Precision of High-Throughput Quantification of Bacterial Growth Data Using a Microplate Reader
09:15

Enhanced Reproducibility and Precision of High-Throughput Quantification of Bacterial Growth Data Using a Microplate Reader

Published on: July 27, 2022

2.9K
Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains
06:45

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains

Published on: January 18, 2014

9.1K

Area of Science:

  • Microbiology and Molecular Biology
  • Genomics and Synthetic Biology

Background:

  • Genome reduction is a common technique in bacterial studies for understanding minimal genetic needs and creating efficient bioreactors.
  • The impact of cumulative dispensable genomic sequence loss on bacterial growth dynamics remains largely uncharacterized.

Purpose of the Study:

  • To investigate the quantitative relationship between stepwise genome reduction and bacterial growth characteristics in Escherichia coli.
  • To determine how the extent of genomic deletions influences growth rate, saturated cell density, and overall growth patterns.

Main Methods:

  • Utilized a series of Escherichia coli strains with progressively reduced genomes.
  • Conducted intensive growth analyses across different conditions to assess growth dynamics.
  • Developed a novel growth model to link genome evolution with genome engineering principles.

Main Results:

  • Accumulated genomic deletions led to a decrease in exponential growth rate and saturated cell density, dependent on deletion length.
  • Observed gradual alterations in growth dynamics patterns irrespective of the growth medium.
  • Established a quantitative link between the amount of genomic sequence and bacterial growth performance.

Conclusions:

  • Dispensable genomic sequences play a significant role in maintaining optimal bacterial growth rates.
  • Genome reduction strategies must consider the trade-offs between genetic streamlining and growth efficiency.
  • The findings provide a foundation for predictive modeling in bacterial genome engineering and evolution studies.