Simulating Evolution by Gene Duplication (original) (raw)

Journal Article

National Institute of Genetics

, Mishima, 411 Japan

Search for other works by this author on:

Accepted:

11 October 1986

Published:

01 January 1987

Navbar Search Filter Mobile Enter search term Search

ABSTRACT

By considering the recent finding that unequal crossing over and other molecular interactions are contributing to the evolution of multigene families, a model of the origin of repetitive genes was studied by Monte Carlo simulations. Starting from a single gene copy, how genetic systems evolve was examined under unequal crossing over, random drift and natural selection. Both beneficial and deteriorating mutations were incorporated, and the latter were assumed to occur ten times more frequently than the former. Positive natural selection favors those chromosomes with more beneficial mutations in redundant copies than others in the population, but accumulation of deteriorating mutations (pseudogenes) have no effect on fitness so long as there remains a functional gene. The results imply the following: (1) Positive natural selection is needed in order to acquire gene families with new functions. Without it, too many pseudogenes accumulate before attaining a functional gene family. (2) There is a large fluctuation in the outcome even if parameters are the same. (3) When unequal crossing over occurs more frequently, the system evolves more rapidly. It was also shown, under realistic values of parameters, that the genetic load for acquiring a new gene is not as large as J. B. S. Haldane suggested, but not so small as in a model in which a system for selection started from already redundant genes.

This content is only available as a PDF.

© Genetics 1987

Citations

Views

Altmetric

Metrics

Total Views 194

0 Pageviews

194 PDF Downloads

Since 1/1/2021

Month: Total Views:
January 2021 4
March 2021 3
July 2021 2
August 2021 1
October 2021 2
November 2021 2
December 2021 1
January 2022 3
February 2022 4
March 2022 2
April 2022 9
May 2022 6
June 2022 3
July 2022 1
August 2022 6
September 2022 6
October 2022 6
November 2022 4
December 2022 2
January 2023 6
February 2023 2
March 2023 4
April 2023 1
May 2023 7
June 2023 3
July 2023 3
August 2023 5
September 2023 7
October 2023 1
November 2023 5
December 2023 3
January 2024 4
February 2024 10
March 2024 15
April 2024 13
May 2024 7
June 2024 6
July 2024 4
August 2024 4
September 2024 3
October 2024 13
November 2024 1

×

Email alerts

Citing articles via

More from Oxford Academic