| Compensatory Evolution and the Origins of Innovations. | |
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MedLine Citation:
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PMID: 23335336 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Cryptic genetic sequences have attenuated effects on phenotypes. In the classic view, relaxed selection allows cryptic genetic diversity to build up across individuals in a population, providing alleles that may later contribute to adaptation when co-opted - e.g. following a mutation increasing expression from a low, attenuated baseline. This view is described, for example, by the metaphor of the spread of a population across a neutral network in genotype space. As an alternative view, consider the fact that most phenotypic traits are affected by multiple sequences, including cryptic ones. Even in a strictly clonal population, the co-option of cryptic sequences at different loci may have different phenotypic effects and offer the population multiple adaptive possibilities. Here, we model the evolution of quantitative phenotypic characters encoded by cryptic sequences, and compare the relative contributions of genetic diversity and of variation across sites to the phenotypic potential of a population. We show that most of the phenotypic variation accessible through co- option would exist even in populations with no polymorphism. This is made possible by a history of compensatory evolution, whereby the phenotypic effect of a cryptic mutation at one site was balanced by mutations elsewhere in the genome, leading to a diversity of cryptic effect sizes across sites rather than across individuals. Cryptic sequences might accelerate adaptation and facilitate large phenotypic changes even in the absence of genetic diversity, as traditionally defined in terms of alternative alleles. |
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Authors:
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Etienne Rajon; Joanna Masel |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2013-1-18 |
Journal Detail:
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Title: Genetics Volume: - ISSN: 1943-2631 ISO Abbreviation: Genetics Publication Date: 2013 Jan |
Date Detail:
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Created Date: 2013-1-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374636 Medline TA: Genetics Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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University of Pennsylvania; |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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