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 Experiment Videos

The dynamics of maternal-effect selfish genetic elements

N G Smith1

  • 1Department of Biology and Biochemistry, University of Bath, U.K.

Journal of Theoretical Biology
|June 19, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The global extent of the grassland biome and implications for the terrestrial carbon sink.

Nature ecology & evolution·2026
Same author

Temporal constraints on leaf-level trait plasticity for next-generation land surface models.

Annals of botany·2025
Same author

Retraction Note: A constraint on historic growth in global photosynthesis due to increasing CO<sub>2</sub>.

Nature·2022
Same author

Stomatal conductance, not biochemistry, drives low temperature acclimation of photosynthesis in Populus balsamifera, regardless of nitrogen availability.

Plant biology (Stuttgart, Germany)·2022
Same author

A constraint on historic growth in global photosynthesis due to increasing CO<sub>2</sub>.

Nature·2021
Same author

Synthesis and characterization of injectable bioadhesive hydrogels for nucleus pulposus replacement and repair of the damaged intervertebral disc.

Journal of biomedical materials research. Part B, Applied biomaterials·2010

Maternal-effect selfish genes can be outcompeted by a new insensitive allele, potentially leading to the loss of the selfish gene. Fitness compensation in mammals, unlike in insects, favors the spread and persistence of these selfish genetic elements.

Area of Science:

  • Evolutionary genetics
  • Population genetics
  • Gene drive dynamics

Background:

  • Maternal-effect selfish genes (e.g., Medea, Scat) eliminate progeny lacking the maternal allele.
  • Existing models predict broad invasion conditions and high-frequency equilibrium for selfish alleles.
  • These models assume only two alleles: selfish (killer) and sensitive (wild-type).

Purpose of the Study:

  • To investigate the impact of a third, insensitive allele on maternal-effect selfish gene dynamics.
  • To explore conditions under which the insensitive allele can lead to the fixation of the wild-type allele (reversible evolution).
  • To compare the evolutionary trajectories of selfish genes in populations with and without fitness compensation.

Main Methods:

  • Mathematical modeling of population genetics incorporating three alleles: killer, sensitive, and insensitive.

Related Experiment Videos

  • Analysis of invasion conditions and equilibrium frequencies under varying parameter values.
  • Simulation of gene drive dynamics in the presence and absence of fitness compensation.
  • Main Results:

    • The introduction of an insensitive allele can lead to reversible evolution, resulting in wild-type fixation, especially without fitness compensation.
    • In the absence of fitness compensation (e.g., insects), selfish genes require a finite initial frequency to spread and may be lost due to fitness costs.
    • With fitness compensation (e.g., placental mammals), selfish genes can invade from low frequencies, leading to stable coexistence or limit cycles of all three alleles.

    Conclusions:

    • The presence of an insensitive allele significantly alters selfish gene dynamics, potentially leading to their elimination.
    • Fitness compensation mechanisms, prevalent in mammals, enhance the spread and persistence of maternal-effect selfish genes compared to organisms like insects.
    • Understanding these dynamics is crucial for predicting the evolution of gene drive systems and their potential applications.