Literature DB >> 10833048

Pseudogene evolution and natural selection for a compact genome.

D A Petrov1, D L Hartl.   

Abstract

Pseudogenes are nonfunctional copies of protein-coding genes that are presumed to evolve without selective constraints on their coding function. They are of considerable utility in evolutionary genetics because, in the absence of selection, different types of mutations in pseudogenes should have equal probabilities of fixation. This theoretical inference justifies the estimation of patterns of spontaneous mutation from the analysis of patterns of substitutions in pseudogenes. Although it is possible to test whether pseudogene sequences evolve without constraints for their protein-coding function, it is much more difficult to ascertain whether pseudogenes may affect fitness in ways unrelated to their nucleotide sequence. Consider the possibility that a pseudogene affects fitness merely by increasing genome size. If a larger genome is deleterious--for example, because of increased energetic costs associated with genome replication and maintenance--then deletions, which decrease the length of a pseudogene, should be selectively advantageous relative to insertions or nucleotide substitutions. In this article we examine the implications of selection for genome size relative to small (1-400 bp) deletions, in light of empirical evidence pertaining to the size distribution of deletions observed in Drosophila and mammalian pseudogenes. There is a large difference in the deletion spectra between these organisms. We argue that this difference cannot easily be attributed to selection for overall genome size, since the magnitude of selection is unlikely to be strong enough to significantly affect the probability of fixation of small deletions in Drosophila.

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Year:  2000        PMID: 10833048     DOI: 10.1093/jhered/91.3.221

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  28 in total

1.  A question of size: the eukaryotic proteome and the problems in defining it.

Authors:  Paul M Harrison; Anuj Kumar; Ning Lang; Michael Snyder; Mark Gerstein
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

2.  Millions of years of evolution preserved: a comprehensive catalog of the processed pseudogenes in the human genome.

Authors:  Zhaolei Zhang; Paul M Harrison; Yin Liu; Mark Gerstein
Journal:  Genome Res       Date:  2003-12       Impact factor: 9.043

3.  Intron size correlates positively with recombination rate in Caenorhabditis elegans.

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Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

4.  Ubiquitous selective constraints in the Drosophila genome revealed by a genome-wide interspecies comparison.

Authors:  Daniel L Halligan; Peter D Keightley
Journal:  Genome Res       Date:  2006-06-02       Impact factor: 9.043

5.  Mechanisms of recent genome size variation in flowering plants.

Authors:  Jeffrey L Bennetzen; Jianxin Ma; Katrien M Devos
Journal:  Ann Bot       Date:  2005-01       Impact factor: 4.357

6.  Origins and impact of constraints in evolution of gene families.

Authors:  Boris E Shakhnovich; Eugene V Koonin
Journal:  Genome Res       Date:  2006-10-19       Impact factor: 9.043

7.  Characterization of pseudogenes in members of the order Frankineae.

Authors:  Saubashya Sur; Sangita Saha; Louis S Tisa; Asim K Bothra; Arnab Sen
Journal:  J Biosci       Date:  2013-11       Impact factor: 1.826

8.  Evolutionary dynamics of recently duplicated genes: Selective constraints on diverging paralogs in the Drosophila pseudoobscura genome.

Authors:  Richard P Meisel
Journal:  J Mol Evol       Date:  2009-06-18       Impact factor: 2.395

9.  Precise estimates of mutation rate and spectrum in yeast.

Authors:  Yuan O Zhu; Mark L Siegal; David W Hall; Dmitri A Petrov
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-20       Impact factor: 11.205

10.  Expression profiling of Drosophila mitochondrial genes via deep mRNA sequencing.

Authors:  Tatiana Teixeira Torres; Marlies Dolezal; Christian Schlötterer; Birgit Ottenwälder
Journal:  Nucleic Acids Res       Date:  2009-12       Impact factor: 16.971

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