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Significance of differential allelic expression in phenotypic plasticity and evolutionary potential of microbial eukaryotes
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Tatman, Ben P., Mock, Thomas, Wu, Taoyang and van Oosterhout, Cock (2021) Significance of differential allelic expression in phenotypic plasticity and evolutionary potential of microbial eukaryotes. Quantitative Biology, 9 (4). pp. 400-410. doi:10.15302/J-QB-021-0258 ISSN 2095-4689.
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Official URL: http://dx.doi.org/10.15302/J-QB-021-0258
Abstract
Background: Differential allelic expression (DAE) plays a key role in the regulation of many biological processes, and it may also play a role in adaptive evolution. Recently, environment-dependent DAE has been observed in species of marine phytoplankton, and most remarkably, alleles that showed the highest level of DAE also showed the fastest rate of evolution.
Methods: To better understand the role of DAE in adaptive evolution and phenotypic plasticity, we developed a 2-D cellular automata model “DAEsy-World” that builds on the classical Daisyworld model.
Results: Simulations show that DAE delineates the evolution of alternative alleles of a gene, enabling the two alleles to adapt to different environmental conditions and sub-functionalize. With DAE, the build-up of genetic polymorphisms within genes is driven by positive selection rather than strict neutral evolution, and this can enhance phenotypic plasticity. Moreover, in sexually reproducing organisms, DAE also increased the standing genetic variation, augmenting a species’ adaptive evolutionary potential and ability to respond to fluctuating and/or changing conditions (cf. genetic assimilation). We furthermore show that DAE is likely to evolve in fluctuating environmental conditions.
Conclusions: DAE increases the adaptive evolutionary potential of both sexual and asexually reproducing organisms, and it may affect the pattern of nucleotide substitutions of genes.
Item Type: | Journal Article | |||||||||
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Subjects: | Q Science > QH Natural history Q Science > QP Physiology |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | |||||||||
Library of Congress Subject Headings (LCSH): | Biological systems -- Mathematical models, Evolutionary genetics, Adaptation (Physiology), Phenotypic plasticity | |||||||||
Journal or Publication Title: | Quantitative Biology | |||||||||
Publisher: | Higher Education Press | |||||||||
ISSN: | 2095-4689 | |||||||||
Official Date: | 15 December 2021 | |||||||||
Dates: |
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Volume: | 9 | |||||||||
Number: | 4 | |||||||||
Page Range: | pp. 400-410 | |||||||||
DOI: | 10.15302/J-QB-021-0258 | |||||||||
Status: | Peer Reviewed | |||||||||
Publication Status: | Published | |||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||
Date of first compliant deposit: | 9 March 2022 | |||||||||
Date of first compliant Open Access: | 11 March 2022 | |||||||||
RIOXX Funder/Project Grant: |
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