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Related Concept Videos

Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...
Limits to Natural Selection01:38

Limits to Natural Selection

Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.

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Related Experiment Video

Updated: May 17, 2026

High-Throughput Assays of Critical Thermal Limits in Insects
06:58

High-Throughput Assays of Critical Thermal Limits in Insects

Published on: June 15, 2020

Variation in thermal performance among insect populations.

Brent J Sinclair1, Caroline M Williams, John S Terblanche

  • 1Department of Biology, University of Western Ontario, London, Ontario, Canada. bsincla7@uwo.ca

Physiological and Biochemical Zoology : PBZ
|October 27, 2012
PubMed
Summary

Insect populations show varied thermal performance, crucial for predicting climate change impacts. Understanding the genetic and environmental factors driving these differences is key to insect evolution and survival.

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Last Updated: May 17, 2026

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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Climate Change Biology

Background:

  • Insect thermal performance variation among populations is vital for evolutionary studies.
  • Predicting insect adaptation to climate change requires understanding thermal biology.

Purpose of the Study:

  • To review and discuss among-population variation in insect thermal performance.
  • To explore mechanisms, constraints, and fitness implications of thermal variation.

Main Methods:

  • Literature review of key examples of insect thermal performance variation.
  • Discussion of latitudinal gradients, metabolic biochemistry, and range expansion impacts.

Main Results:

  • Substantial evidence exists for insect thermal performance variation correlated with local climates.
  • Underlying mechanisms and field fitness implications of this variation remain poorly understood.

Conclusions:

  • A genes-to-environment approach is needed to fully understand insect thermal biology.
  • Further research is required to elucidate mechanisms and fitness consequences of evolved thermal variation.