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

Metabolic Rate01:25

Metabolic Rate

1.3K
The human body is a powerhouse of energy, with every cell performing numerous functions that require energy. This energy production and consumption is measured by the metabolic rate, which quantifies the total heat generated by all the body's chemical reactions and mechanical work. This measurement helps to determine the rate of kilocalorie (kcal) consumption needed to fuel all ongoing activities.
The Basal Metabolic Rate (BMR) measures the energy expended at rest.
Several factors influence...
1.3K
What is Variation?01:14

What is Variation?

18.8K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.8K
Understanding the Self01:28

Understanding the Self

334
The self is a central aspect of human identity, encompassing an individual’s beliefs, emotions, perceptions, and experiences. It is a cognitive and psychological construct that enables individuals to interpret their traits and behaviors, influencing how they perceive themselves and interact with the world. While personality consists of stable and enduring characteristics, the self is shaped by self-perception and social experiences. This distinction highlights the dynamic nature of the...
334
What is Metabolism?00:52

What is Metabolism?

132.7K
Overview
132.7K
Variation01:19

Variation

8.1K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.1K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.9K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.9K

You might also read

Related Articles

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

Sort by
Same author

Drivers and Consequences of Size Declines in Unicells.

Ecology letters·2026
Same author

Evolutionary adaptation to global change reduces sustainable fisheries yields.

Science (New York, N.Y.)·2026
Same author

Embryos are largely understudied in a representative sample of journals in conservation physiology.

Conservation physiology·2026
Same author

Hermaphrodites have lower metabolic rates than gonochores.

Proceedings. Biological sciences·2026
Same author

Temperature Variability Has Limited Effects on Phenotypic Plasticity in Ectotherms-A Meta-Analysis.

Ecology letters·2025
Same author

The Effect of Temperature Variability on Biological Responses of Ectothermic Animals-A Meta-Analysis.

Ecology letters·2024
Same journal

Differential responses to photoperiod in juveniles of two migratory songbird species.

The Journal of experimental biology·2026
Same journal

A Drosophila overgrowth model reveals extracellular matrix crosslinking limits cardiovascular scaling.

The Journal of experimental biology·2026
Same journal

Control of High-speed Jumps: Removing rotation from the jumps of locusts (Schistocerca gregaria).

The Journal of experimental biology·2026
Same journal

Limits and mechanisms of honey bee colonial thermoregulation in the heat.

The Journal of experimental biology·2026
Same journal

Correction: Sprinting performance is linked to surface activity in scorpions.

The Journal of experimental biology·2026
Same journal

Tactile pup loss and acoustic signal enhance selective maternal retrieval behavior in echolocating bats, Pipistrellus abramus.

The Journal of experimental biology·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

Measurement of Metabolic Rate in Drosophila using Respirometry
04:31

Measurement of Metabolic Rate in Drosophila using Respirometry

Published on: June 24, 2014

20.4K

Understanding variation in metabolic rate.

Amanda K Pettersen1, Dustin J Marshall2, Craig R White2

  • 1School of Biological Sciences/Centre for Geometric Biology, Monash University, Melbourne, VIC 3800, Australia amanda.pettersen@monash.edu.

The Journal of Experimental Biology
|January 13, 2018
PubMed
Summary
This summary is machine-generated.

Metabolic rates are heritable and can evolve under selection. Studying them using quantitative genetics reveals their evolutionary potential and explains population variance.

Keywords:
EvolutionMetabolismQuantitative geneticsSelection

More Related Videos

Measuring Rates of Herbicide Metabolism in Dicot Weeds with an Excised Leaf Assay
10:49

Measuring Rates of Herbicide Metabolism in Dicot Weeds with an Excised Leaf Assay

Published on: September 7, 2015

12.6K
Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
08:52

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

Published on: April 6, 2022

4.1K

Related Experiment Videos

Last Updated: Feb 15, 2026

Measurement of Metabolic Rate in Drosophila using Respirometry
04:31

Measurement of Metabolic Rate in Drosophila using Respirometry

Published on: June 24, 2014

20.4K
Measuring Rates of Herbicide Metabolism in Dicot Weeds with an Excised Leaf Assay
10:49

Measuring Rates of Herbicide Metabolism in Dicot Weeds with an Excised Leaf Assay

Published on: September 7, 2015

12.6K
Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
08:52

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

Published on: April 6, 2022

4.1K

Area of Science:

  • Evolutionary Biology
  • Physiology
  • Quantitative Genetics

Background:

  • Metabolic rate influences organismal growth, maintenance, and reproduction, making it a key target for natural selection.
  • Understanding variation in metabolic rates requires examining both mechanistic and evolutionary perspectives.

Purpose of the Study:

  • To investigate the evolutionary potential of metabolic rates using a quantitative genetics framework.
  • To demonstrate the heritability of metabolic rates and their capacity to evolve under selection.

Main Methods:

  • Utilizing the breeder's equation to analyze phenotypic variation in metabolic rates.
  • Applying a quantitative genetics framework to study metabolic rate evolution.
  • Considering metabolic rate as a multivariate trait influenced by ontogeny and extrinsic factors.

Main Results:

  • Metabolic rates exhibit significant heritability, indicating they are subject to evolutionary processes.
  • Metabolic rate is a complex, multivariate trait influenced by developmental stage and environmental factors.
  • A quantitative genetics approach offers predictive and comparative power for studying metabolic rate evolution.

Conclusions:

  • Quantitative genetics provides a robust framework for understanding the evolution of metabolic rates.
  • Recommendations include measuring selection on actual fitness, considering ontogenetic covariances, and estimating genetic covariances with other traits.
  • This framework helps quantify the evolutionary potential of metabolic rate and maintain population variance.