Literature DB >> 22954216

Indirect selection of implicit mutation protocols.

David G King1.   

Abstract

A hypothesis that mutability evolves to facilitate evolutionary adaptation is dismissed by many biologists. Their skepticism is based on a theoretical expectation that natural selection must minimize mutation rates. That view, in turn, is historically grounded in an intuitive presumption that "the vast majority of mutations are harmful." But such skepticism is surely misplaced. Several highly mutagenic genomic patterns, including simple sequence repeats, and transposable elements, are integrated into an unexpectedly large proportion of functional genetic loci. Because alleles arising within such patterns can retain an intrinsic propensity toward a particular style of mutation, natural selection that favors any such allele can indirectly favor the site's mutability as well. By exploiting patterns that have produced beneficial alleles in the past, indirect selection can encourage mutation within constraints that reduce the probability of deleterious effect, thereby shaping implicit "mutation protocols" that effectively promote evolvability.
© 2012 New York Academy of Sciences.

Mesh:

Year:  2012        PMID: 22954216     DOI: 10.1111/j.1749-6632.2012.06615.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  3 in total

1.  Environmental stress induces trinucleotide repeat mutagenesis in human cells.

Authors:  Nimrat Chatterjee; Yunfu Lin; Beatriz A Santillan; Patricia Yotnda; John H Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-03-09       Impact factor: 11.205

Review 2.  The overdue promise of short tandem repeat variation for heritability.

Authors:  Maximilian O Press; Keisha D Carlson; Christine Queitsch
Journal:  Trends Genet       Date:  2014-08-30       Impact factor: 11.639

3.  Massive variation of short tandem repeats with functional consequences across strains of Arabidopsis thaliana.

Authors:  Maximilian O Press; Rajiv C McCoy; Ashley N Hall; Joshua M Akey; Christine Queitsch
Journal:  Genome Res       Date:  2018-07-03       Impact factor: 9.043

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.