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  Experimental evolution reveals hidden diversity in evolutionary pathways

Lind, P. A., Farr, A. D., & Rainey, P. B. (2015). Experimental evolution reveals hidden diversity in evolutionary pathways. eLife, (4): 07074. doi:10.7554/eLife.07074.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-AC7F-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-AC80-A
Genre: Journal Article

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Lind, Peter A., Author
Farr, Andrew D., Author
Rainey, Paul B.1, Author              
Affiliations:
1External Scientific Member Group Experimental and Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445637              

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Free keywords: bacterial evolution; C-di-GMP; diguanylate cyclase; evolutionary rules; genetic constraint; parallel evolution
 Abstract: Full text and MPG-specific services(opens in a new window)| Export | Download | More... eLife Volume 2015, Issue 4, 25 March 2015, 42p Experimental evolution reveals hidden diversityin evolutionary pathways (Article) Lind, P.A.ac , Farr, A.D.a, Rainey, P.B.ab a New Zealand Institute for Advanced Study and Allan Wilson Centre for Molecular Ecology and Evolution, Massey University at Albany, Auckland, New Zealand b Max Planck Institute for Evolutionary Biology, Plön, Germany c Dept. Medical Biochemistry and Microbiology, Uppsala University, Box 582, Sweden View references (56) Abstract Replicate populations of natural and experimental organisms often show evidence of parallel genetic evolution, but the causes are unclear. The wrinkly spreader morph of Pseudomonas fluorescens arises repeatedly during experimental evolution. The mutational causes reside exclusively within three pathways. By eliminating these, 13 new mutational pathways were discovered with the newly arising WS types having fitnesses similar to those arising from the commonly passaged routes. Our findings show that parallel genetic evolution is strongly biased by constraints and we reveal the genetic bases. From such knowledge, and in instances where new phenotypes arise via gene activation, we suggest a set of principles: evolution proceeds firstly via pathways subject to negative regulation, then via promoter mutations and gene fusions, and finally via activation by intragenic gain-of-function mutations. These principles inform evolutionary forecasting and have relevance to interpreting the diverse array of mutations associated with clinically identical instances of disease in humans.

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Language(s): eng - English
 Dates: 2015-02-172015-03-242015-03-25
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.7554/eLife.07074
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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: 42 S. Volume / Issue: (4) Sequence Number: 07074 Start / End Page: - Identifier: Other: 2050-084X
CoNE: /journals/resource/2050-084X