Literature DB >> 18245453

Qualifying the relationship between sequence conservation and molecular function.

Gregory M Cooper1, Christopher D Brown.   

Abstract

Quantification of evolutionary constraints via sequence conservation can be leveraged to annotate genomic functional sequences. Recent efforts addressing the converse of this relationship have identified many sites in metazoan genomes with molecular function but without detectable conservation between related species. Here, we discuss explanations and implications for these results considering both practical and theoretical issues. In particular, phylogenetic scope influences the relationship between sequence conservation and function. Comparisons of distantly related species can detect constraint with high specificity due to the loss of conserved neutral sequence, but sensitivity is sacrificed as a result of functional changes related to lineage-specific biology. The strength of natural selection operating on functional sequence is also important. Mutations to functional sequences that result in small fitness effects are subject to weaker constraints. Therefore, particularly when comparing highly divergent species, functional sequences that are degenerate or biologically redundant will be prone to turnover, wherein functional sequences are replaced by effectively equivalent, but nonorthologous counterparts. Finally, considering the size and complexity of metazoan genomes and the fact that many nonconserved sequences are associated with sequence-degenerate, low-level molecular functions, we find it likely that there exist many biochemically functional sequences that are not under constraint. This hypothesis does not lead to the conclusion that huge amounts of vertebrate genomes are functionally important, but rather that such "functionality" represents molecular noise that has weak or no effect on organismal phenotypes.

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Year:  2008        PMID: 18245453     DOI: 10.1101/gr.7205808

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  49 in total

1.  ChIP-Seq identification of weakly conserved heart enhancers.

Authors:  Matthew J Blow; David J McCulley; Zirong Li; Tao Zhang; Jennifer A Akiyama; Amy Holt; Ingrid Plajzer-Frick; Malak Shoukry; Crystal Wright; Feng Chen; Veena Afzal; James Bristow; Bing Ren; Brian L Black; Edward M Rubin; Axel Visel; Len A Pennacchio
Journal:  Nat Genet       Date:  2010-08-22       Impact factor: 38.330

Review 2.  Long non-coding RNAs in corticogenesis: deciphering the non-coding code of the brain.

Authors:  Julieta Aprea; Federico Calegari
Journal:  EMBO J       Date:  2015-10-29       Impact factor: 11.598

Review 3.  Identifying regulatory elements in eukaryotic genomes.

Authors:  Leelavati Narlikar; Ivan Ovcharenko
Journal:  Brief Funct Genomic Proteomic       Date:  2009-06-04

Review 4.  Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data.

Authors:  Gregory M Cooper; Jay Shendure
Journal:  Nat Rev Genet       Date:  2011-08-18       Impact factor: 53.242

5.  Within-Gene Shine-Dalgarno Sequences Are Not Selected for Function.

Authors:  Adam J Hockenberry; Michael C Jewett; Luís A N Amaral; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2018-10-01       Impact factor: 16.240

6.  The role of self-organization in developmental evolution.

Authors:  Joseph E Hannon Bozorgmehr
Journal:  Theory Biosci       Date:  2014-04-16       Impact factor: 1.919

7.  Coevolution mechanisms that adapt viruses to genetic code variations implemented in their hosts.

Authors:  Sushil Kumar; Renu Kumari; Vishakha Sharma
Journal:  J Genet       Date:  2016-03       Impact factor: 1.166

8.  Hepatitis A virus adaptation to cellular shutoff is driven by dynamic adjustments of codon usage and results in the selection of populations with altered capsids.

Authors:  M Isabel Costafreda; Francisco J Pérez-Rodriguez; Lucía D'Andrea; Susana Guix; Enric Ribes; Albert Bosch; Rosa M Pintó
Journal:  J Virol       Date:  2014-02-19       Impact factor: 5.103

9.  ChIP-seq accurately predicts tissue-specific activity of enhancers.

Authors:  Axel Visel; Matthew J Blow; Zirong Li; Tao Zhang; Jennifer A Akiyama; Amy Holt; Ingrid Plajzer-Frick; Malak Shoukry; Crystal Wright; Feng Chen; Veena Afzal; Bing Ren; Edward M Rubin; Len A Pennacchio
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

Review 10.  Genomic views of distant-acting enhancers.

Authors:  Axel Visel; Edward M Rubin; Len A Pennacchio
Journal:  Nature       Date:  2009-09-10       Impact factor: 49.962

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