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Computer Simulation on Disease Vector Population Replacement Driven by the Maternal Effect Dominant Embryonic Arrest

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Software Tools and Algorithms for Biological Systems

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 696))

Abstract

In this chapter, we present a series of computer simulations on the genetic modification of disease vectors. We compared the effectiveness of two techniques of genetic modification, transposable elements and maternal effect dominant embryonic arrest (MEDEA). A gene drive mechanism based on MEDEA is introduced in the population to confer immunity to individuals. Experimental results suggested that the genetic maternal effects could be necessary for the effectiveness of a disease control strategy based on the genetic modification of vectors.

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Acknowledgements

This work was supported by a Consejo Nacional de Ciencia y Tecnología (CONACYT) Award number SEP-204-C01-47434. We want to thank Charles E. Taylor, Bruce Hay, and Catherine Ward for the feedback and ideas provided for the realization of this work.

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Authors and Affiliations

  1. Computer Science Department, ITESM CEM, Carretera Lago de Guadalupe Km. 3.5, Atizapan de Zaragoza, 52926, Mexico

    Mauricio Guevara-Souza

Authors
  1. Mauricio Guevara-Souza
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  2. Edgar E. Vallejo
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Corresponding author

Correspondence to Mauricio Guevara-Souza .

Editor information

Editors and Affiliations

  1. Dept. Computer Science, University of Georgia, Athens, 30602-7404, Georgia, USA

    Hamid R. Arabnia

  2. , Department of Computer Science, Lamar University, Beaumont, 77710, Texas, USA

    Quoc-Nam Tran

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Guevara-Souza, M., Vallejo, E.E. (2011). Computer Simulation on Disease Vector Population Replacement Driven by the Maternal Effect Dominant Embryonic Arrest. In: Arabnia, H., Tran, QN. (eds) Software Tools and Algorithms for Biological Systems. Advances in Experimental Medicine and Biology, vol 696. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7046-6_34

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