Literature DB >> 25371436

Ecological transition predictably associated with gene degeneration.

Carolyn A Wessinger1, Mark D Rausher2.   

Abstract

Gene degeneration or loss can significantly contribute to phenotypic diversification, but may generate genetic constraints on future evolutionary trajectories, potentially restricting phenotypic reversal. Such constraints may manifest as directional evolutionary trends when parallel phenotypic shifts consistently involve gene degeneration or loss. Here, we demonstrate that widespread parallel evolution in Penstemon from blue to red flowers predictably involves the functional inactivation and degeneration of the enzyme flavonoid 3',5'-hydroxylase (F3'5'H), an anthocyanin pathway enzyme required for the production of blue floral pigments. Other types of genetic mutations do not consistently accompany this phenotypic shift. This pattern may be driven by the relatively large mutational target size of degenerative mutations to this locus and the apparent lack of associated pleiotropic effects. The consistent degeneration of F3'5'H may provide a mechanistic explanation for the observed asymmetry in the direction of flower color evolution in Penstemon: Blue to red transitions are common, but reverse transitions have not been observed. Although phenotypic shifts in this system are likely driven by natural selection, internal constraints may generate predictable genetic outcomes and may restrict future evolutionary trajectories.
© The Author 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Penstemon; flower color; irreversibility; parallel evolution

Mesh:

Substances:

Year:  2014        PMID: 25371436     DOI: 10.1093/molbev/msu298

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  16 in total

1.  Mutation-biased adaptation in Andean house wrens.

Authors:  Arlin Stoltzfus; David M McCandlish
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-21       Impact factor: 11.205

Review 2.  Accessibility, constraint, and repetition in adaptive floral evolution.

Authors:  Carolyn A Wessinger; Lena C Hileman
Journal:  Dev Biol       Date:  2016-05-03       Impact factor: 3.582

3.  Genome-scale transcriptional study of hybrid effects and regulatory divergence in an F1 hybrid Ruellia (Wild Petunias: Acanthaceae) and its parents.

Authors:  Yongbin Zhuang; Erin A Tripp
Journal:  BMC Plant Biol       Date:  2017-01-17       Impact factor: 4.215

4.  Comparative transcriptome analyses of flower development in four species of Achimenes (Gesneriaceae).

Authors:  Wade R Roberts; Eric H Roalson
Journal:  BMC Genomics       Date:  2017-03-20       Impact factor: 3.969

5.  A comparative transcriptome analysis of a wild purple potato and its red mutant provides insight into the mechanism of anthocyanin transformation.

Authors:  Fang Liu; Yuanjun Yang; Jianwei Gao; Changle Ma; Yuping Bi
Journal:  PLoS One       Date:  2018-01-23       Impact factor: 3.240

Review 6.  Molecular mechanisms underlying the diverse array of petal colors in chrysanthemum flowers.

Authors:  Akemi Ohmiya
Journal:  Breed Sci       Date:  2018-02-17       Impact factor: 2.086

7.  Nectary size is a pollination syndrome trait in Penstemon.

Authors:  Amanda M Katzer; Carolyn A Wessinger; Lena C Hileman
Journal:  New Phytol       Date:  2019-03-26       Impact factor: 10.151

8.  Adaptation to hummingbird pollination is associated with reduced diversification in Penstemon.

Authors:  Carolyn A Wessinger; Mark D Rausher; Lena C Hileman
Journal:  Evol Lett       Date:  2019-08-02

9.  How to make a red flower: the combinatorial effect of pigments.

Authors:  Julienne Ng; Stacey D Smith
Journal:  AoB Plants       Date:  2016-03-23       Impact factor: 3.276

10.  The draft genome of Ruellia speciosa (Beautiful Wild Petunia: Acanthaceae).

Authors:  Yongbin Zhuang; Erin A Tripp
Journal:  DNA Res       Date:  2017-04-01       Impact factor: 4.458

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