Research

Recombination Is Surprisingly Constructive for Artificial Gene Regulatory Networks in the Context of Selection for Developmental Stability


Reference:

Wang, Y., Lan, Y., Weinreich, D., Priest, N. and Bryson, J., 2015. Recombination Is Surprisingly Constructive for Artificial Gene Regulatory Networks in the Context of Selection for Developmental Stability. In: The 13th European Conference on Artificial Life, 2015-07-20 - 2015-07-24.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below. (Contact Author)

Official URL:

http://dx.doi.org/10.7551/978-0-262-33027-5-ch094

Related URLs:

Abstract

Recombination is ubiquitous in multicellular plants, animals and even fungi. Many studies have shown that recombination can generate a great amount of genetic innovations, but it is also believed to damage well-adapted lineages, causing debates over how organisms cope with such disruptions. Using an established model of artificial gene regulatory networks, here we show that recombination may not be as destructive as expected. Provided only that there is selection for developmental stability, recombination can establish and maintain lineages with reliably better phenotypes compared to asexual reproduction. Contrary to expectation, this does not appear to be a simple side effect of higher levels of variation. A simple model of the underlying dynamics demonstrates a surprisingly high robustness in these lineages against the disruption caused by recombination. Contrary to expectation, lineages subject to recombination are less likely to produce offspring suffering truncation selection for instability than asexual lineages subject to simple mutation. These findings indicate the fundamental differences between recombination and high mutation rates, which has important implications for understanding both biological innovation and hierarchically structured models of machine learning.

Details

Item Type Conference or Workshop Items (Paper)
CreatorsWang, Y., Lan, Y., Weinreich, D., Priest, N. and Bryson, J.
DOI10.7551/978-0-262-33027-5-ch094
Related URLs
URLURL Type
https://mitpress.mit.edu/sites/default/files/titles/content/ecal2015/ch094.htmlPublisher
Uncontrolled Keywordsevolution dynamics,recombination,gene regulatory networks,developmental stability,evolution of sex,maintenance of sexual reproduction,genetic innovations,evolvability,hierarchical network structure,machine learning
DepartmentsFaculty of Science > Computer Science
Faculty of Science > Biology & Biochemistry
Research CentresCentre for Mathematical Biology
EPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
Media Technology Research Centre
Milner Centre for Evolution
RefereedYes
StatusPublished
ID Code44761

Export

Actions (login required)

View Item