Literature DB >> 19955480

Multiple evolutionary rate classes in animal genome evolution.

Christopher Oldmeadow1, Kerrie Mengersen, John S Mattick, Jonathan M Keith.   

Abstract

The proportion of functional sequence in the human genome is currently a subject of debate. The most widely accepted figure is that approximately 5% is under purifying selection. In Drosophila, estimates are an order of magnitude higher, though this corresponds to a similar quantity of sequence. These estimates depend on the difference between the distribution of genomewide evolutionary rates and that observed in a subset of sequences presumed to be neutrally evolving. Motivated by the widening gap between these estimates and experimental evidence of genome function, especially in mammals, we developed a sensitive technique for evaluating such distributions and found that they are much more complex than previously apparent. We found strong evidence for at least nine well-resolved evolutionary rate classes in an alignment of four Drosophila species and at least seven classes in an alignment of four mammals, including human. We also identified at least three rate classes in human ancestral repeats. By positing that the largest of these ancestral repeat classes is neutrally evolving, we estimate that the proportion of nonneutrally evolving sequence is 30% of human ancestral repeats and 45% of the aligned portion of the genome. However, we also question whether any of the classes represent neutrally evolving sequences and argue that a plausible alternative is that they reflect variable structure-function constraints operating throughout the genomes of complex organisms.

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Year:  2009        PMID: 19955480     DOI: 10.1093/molbev/msp299

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


  8 in total

1.  Segmenting the human genome based on states of neutral genetic divergence.

Authors:  Prabhani Kuruppumullage Don; Guruprasad Ananda; Francesca Chiaromonte; Kateryna D Makova
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-19       Impact factor: 11.205

2.  The QTN program and the alleles that matter for evolution: all that's gold does not glitter.

Authors:  Matthew V Rockman
Journal:  Evolution       Date:  2011-11-06       Impact factor: 3.694

3.  Unexpected inheritance: multiple integrations of ancient bornavirus and ebolavirus/marburgvirus sequences in vertebrate genomes.

Authors:  Vladimir A Belyi; Arnold J Levine; Anna Marie Skalka
Journal:  PLoS Pathog       Date:  2010-07-29       Impact factor: 6.823

Review 4.  Investigating genomic structure using changept: A Bayesian segmentation model.

Authors:  Manjula Algama; Jonathan M Keith
Journal:  Comput Struct Biotechnol J       Date:  2014-08-27       Impact factor: 7.271

5.  Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach.

Authors:  Manjula Algama; Edward Tasker; Caitlin Williams; Adam C Parslow; Robert J Bryson-Richardson; Jonathan M Keith
Journal:  BMC Genomics       Date:  2017-03-27       Impact factor: 3.969

6.  Drosophila 3' UTRs are more complex than protein-coding sequences.

Authors:  Manjula Algama; Christopher Oldmeadow; Edward Tasker; Kerrie Mengersen; Jonathan M Keith
Journal:  PLoS One       Date:  2014-05-13       Impact factor: 3.240

7.  The State of Long Non-Coding RNA Biology.

Authors:  John S Mattick
Journal:  Noncoding RNA       Date:  2018-08-10

8.  Bayesian change-point modeling with segmented ARMA model.

Authors:  Farhana Sadia; Sarah Boyd; Jonathan M Keith
Journal:  PLoS One       Date:  2018-12-31       Impact factor: 3.240

  8 in total

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