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

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.3K
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).
58.3K
Genetic Drift03:33

Genetic Drift

39.6K
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.
39.6K
Gene Flow02:39

Gene Flow

35.0K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
35.0K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
What is Population Genetics?01:25

What is Population Genetics?

57.8K
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
57.8K
Chi-square Analysis02:46

Chi-square Analysis

38.1K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.1K

You might also read

Related Articles

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

Sort by
Same author

Complete genome sequence of <i>Microbacterium</i> sp. strain UB-LE1, isolated from Teutoburger Forest soil in Germany.

Microbiology resource announcements·2026
Same author

Time- and space-resolved transcriptional regulation in Arabidopsis thaliana.

Plant biology (Stuttgart, Germany)·2026
Same author

Individualised niches: an integrative conceptual framework across behaviour, ecology, and evolution.

Biological reviews of the Cambridge Philosophical Society·2026
Same author

The marginal male hypothesis explains only small amounts of spatial variation in density in pinnipeds.

Scientific reports·2026
Same author

Optimized DNA affinity purification sequencing determines relative binding affinity of transcription factors.

Biology methods & protocols·2025
Same author

Regulation of Crassulacean acid metabolism at the protein level in Kalanchoë laxiflora.

Plant physiology·2025
Same journal

Changes in photosynthesis and grazing facilitate growth of a mixotrophic protist under ocean acidification and warming.

The New phytologist·2026
Same journal

Opening the black box: in situ imaging of arbuscular mycorrhizal fungal structures in soil using synchrotron-based micro-CT.

The New phytologist·2026
Same journal

From knowledge graph to topological data analysis: a novel framework to analyze gene regulatory networks for tomato-multi-pathogen interactions.

The New phytologist·2026
Same journal

The signaling mechanism of phyA involves direct interaction with ATG8 to regulate HY5 autophagic degradation under nutrient starvation.

The New phytologist·2026
Same journal

Stable lineages, rewired landscapes: single-cell and spatial multi-omics reveal developmental plasticity under abiotic stress.

The New phytologist·2026
Same journal

Genomic forecasting for climate-resilient fruit trees.

The New phytologist·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

How does plant chemodiversity evolve? Testing five hypotheses in one population genetic model.

Meike J Wittmann1,2, Andrea Bräutigam3,4

  • 1Faculty of Biology, Theoretical Biology, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, Germany.

The New Phytologist
|September 6, 2024
PubMed
Summary
This summary is machine-generated.

A new mathematical model explores plant chemodiversity evolution. It found that dominance patterns, not just fluctuating selection, significantly maintain this crucial aspect of biodiversity.

Keywords:
interaction diversity hypothesismathematical modelphytochemical diversityplant–herbivore interactionsscreening hypothesissynergy hypothesis

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

931
Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.8K

Related Experiment Videos

Last Updated: Jun 14, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

931
Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
08:16

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

18.8K

Area of Science:

  • Evolutionary biology
  • Biochemistry
  • Population genetics

Background:

  • Plant chemodiversity, the variety of specialized metabolites, is vital for biodiversity.
  • Existing mathematical models for chemodiversity evolution are limited.
  • Verbal hypotheses on chemodiversity evolution lack robust testing frameworks.

Purpose of the Study:

  • To develop a mathematical model to test hypotheses on plant chemodiversity evolution.
  • To investigate the roles of fluctuating selection, dominance, interaction diversity, synergy, and screening in maintaining chemodiversity.
  • To provide a flexible modeling framework for future research.

Main Methods:

  • Developed a population genetic model incorporating fluctuating herbivore pressure.
  • Employed mathematical analysis and individual-based simulations for model study.
  • Tested five distinct hypotheses regarding the evolution of plant chemodiversity.

Main Results:

  • Chemodiversity is maintained when defense alleles are dominant for benefits and recessive for costs, supporting the dominance reversal hypothesis.
  • Minor shifts in dominance patterns can also sustain polymorphism.
  • Results support synergy, interaction diversity, and screening hypotheses, with partial support for fluctuating selection.

Conclusions:

  • A flexible population genetic model can effectively test hypotheses on chemodiversity evolution.
  • Dominance relationships play a critical role in maintaining plant chemodiversity.
  • Future research requires more mechanistic models, particularly those addressing metabolic pathway organization.