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

You might also read

Related Articles

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

Sort by
Same author

Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data.

BMC bioinformatics·2019
Same author

Detecting Clustered Independent Rare Variant Associations Using Genetic Algorithms.

IEEE/ACM transactions on computational biology and bioinformatics·2019
Same author

A computer simulation model of Wolbachia invasion for disease vector population modification.

BMC bioinformatics·2015
Same author

New genetic loci link adipose and insulin biology to body fat distribution.

Nature·2015
Same author

Acoustic sequences in non-human animals: a tutorial review and prospectus.

Biological reviews of the Cambridge Philosophical Society·2014
Same author

Inferring modules of functionally interacting proteins using the Bond Energy Algorithm.

BMC bioinformatics·2008

Related Experiment Video

Updated: Jun 3, 2026

Population Replacement Strategies for Controlling Vector Populations and the Use of Wolbachia pipientis for Genetic Drive
10:21

Population Replacement Strategies for Controlling Vector Populations and the Use of Wolbachia pipientis for Genetic Drive

Published on: July 4, 2007

Computer simulation on disease vector population replacement driven by the maternal effect dominant embryonic arrest.

Mauricio Guevara-Souza1, Edgar E Vallejo

  • 1Computer Science Department, ITESM CEM, Carretera Lago de Guadalupe Km. 3.5, Atizapan de Zaragoza, 52926, Mexico. guevara_mauricio@hotmail.com

Advances in Experimental Medicine and Biology
|March 25, 2011
PubMed
Summary

Computer simulations show that maternal effect dominant embryonic arrest (MEDEA) gene drives can confer immunity to disease vectors. Genetic maternal effects are crucial for effective vector control strategies using genetic modification.

More Related Videos

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Small-Cage Laboratory Trials of Genetically-Engineered Anopheline Mosquitoes
07:45

Small-Cage Laboratory Trials of Genetically-Engineered Anopheline Mosquitoes

Published on: May 1, 2021

Related Experiment Videos

Last Updated: Jun 3, 2026

Population Replacement Strategies for Controlling Vector Populations and the Use of Wolbachia pipientis for Genetic Drive
10:21

Population Replacement Strategies for Controlling Vector Populations and the Use of Wolbachia pipientis for Genetic Drive

Published on: July 4, 2007

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Small-Cage Laboratory Trials of Genetically-Engineered Anopheline Mosquitoes
07:45

Small-Cage Laboratory Trials of Genetically-Engineered Anopheline Mosquitoes

Published on: May 1, 2021

Area of Science:

  • Genetics
  • Vector Biology
  • Computational Biology

Background:

  • Genetic modification of disease vectors is a promising strategy for disease control.
  • Existing methods like transposable elements have limitations.
  • Novel approaches are needed to enhance the efficacy of vector modification.

Purpose of the Study:

  • To compare the effectiveness of transposable elements and MEDEA for genetic modification of disease vectors.
  • To introduce a gene drive mechanism based on MEDEA to confer immunity.
  • To evaluate the necessity of genetic maternal effects for vector control.

Main Methods:

  • Computer simulations of genetic modification techniques.
  • Implementation of a gene drive system utilizing MEDEA.
  • Population modeling to assess immunity conferral.

Main Results:

  • MEDEA demonstrated potential effectiveness in modifying disease vectors.
  • A gene drive mechanism based on MEDEA successfully conferred immunity in simulations.
  • Genetic maternal effects were identified as a key factor for strategy success.

Conclusions:

  • Genetic modification of disease vectors holds significant potential for disease control.
  • MEDEA represents a viable alternative for vector genetic modification.
  • Genetic maternal effects are essential for optimizing gene drive-based vector control strategies.