Literature DB >> 15537804

Inverse relationship between evolutionary rate and age of mammalian genes.

M Mar Albà1, Jose Castresana.   

Abstract

A large number of genes is shared by all living organisms, whereas many others are unique to some specific lineages, indicating their different times of origin. The availability of a growing number of eukaryotic genomes allows us to estimate which mammalian genes are novel genes and, approximately, when they arose. In this article, we classify human genes into four different age groups and estimate evolutionary rates in human and mouse orthologs. We show that older genes tend to evolve more slowly than newer ones; that is, proteins that arose earlier in evolution currently have a larger proportion of sites subjected to negative selection. Interestingly, this property is maintained when a fraction of the fastest-evolving genes is excluded or when only genes belonging to a given functional class are considered. One way to explain this relationship is by assuming that genes maintain their functional constraints along all their evolutionary history, but the nature of more recent evolutionary innovations is such that the functional constraints operating on them are increasingly weaker. Alternatively, our results would also be consistent with a scenario in which the functional constraints acting on a gene would not need to be constant through evolution. Instead, starting from weak functional constraints near the time of origin of a gene-as supported by mechanisms proposed for the origin of orphan genes-there would be a gradual increase in selective pressures with time, resulting in fewer accepted mutations in older versus more novel genes.

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Year:  2004        PMID: 15537804     DOI: 10.1093/molbev/msi045

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


  78 in total

1.  Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independent.

Authors:  Joseph E Powell; Anjali K Henders; Allan F McRae; Margaret J Wright; Nicholas G Martin; Emmanouil T Dermitzakis; Grant W Montgomery; Peter M Visscher
Journal:  Genome Res       Date:  2011-12-19       Impact factor: 9.043

2.  Age-dependent gain of alternative splice forms and biased duplication explain the relation between splicing and duplication.

Authors:  Julien Roux; Marc Robinson-Rechavi
Journal:  Genome Res       Date:  2010-12-20       Impact factor: 9.043

3.  Young proteins experience more variable selection pressures than old proteins.

Authors:  Anchal Vishnoi; Sergey Kryazhimskiy; Georgii A Bazykin; Sridhar Hannenhalli; Joshua B Plotkin
Journal:  Genome Res       Date:  2010-10-04       Impact factor: 9.043

4.  Accelerated evolutionary rate may be responsible for the emergence of lineage-specific genes in ascomycota.

Authors:  James J Cai; Patrick C Y Woo; Susanna K P Lau; David K Smith; Kwok-Yung Yuen
Journal:  J Mol Evol       Date:  2006-06-03       Impact factor: 2.395

5.  Genetic and epigenetic regulation of human lincRNA gene expression.

Authors:  Konstantin Popadin; Maria Gutierrez-Arcelus; Emmanouil T Dermitzakis; Stylianos E Antonarakis
Journal:  Am J Hum Genet       Date:  2013-11-21       Impact factor: 11.025

6.  Different strategies to persist: the pogo-like Lemi1 transposon produces miniature inverted-repeat transposable elements or typical defective elements in different plant genomes.

Authors:  Hélène Guermonprez; Céline Loot; Josep M Casacuberta
Journal:  Genetics       Date:  2008-08-30       Impact factor: 4.562

Review 7.  The evolutionary origin of orphan genes.

Authors:  Diethard Tautz; Tomislav Domazet-Lošo
Journal:  Nat Rev Genet       Date:  2011-08-31       Impact factor: 53.242

8.  Positive selection within a diatom species acts on putative protein interactions and transcriptional regulation.

Authors:  Julie A Koester; Willie J Swanson; E Virginia Armbrust
Journal:  Mol Biol Evol       Date:  2012-10-23       Impact factor: 16.240

9.  Evolutionary rate and gene expression across different brain regions.

Authors:  Tamir Tuller; Martin Kupiec; Eytan Ruppin
Journal:  Genome Biol       Date:  2008       Impact factor: 13.583

10.  Identifying genes related to choriogenesis in insect panoistic ovaries by Suppression Subtractive Hybridization.

Authors:  Paula Irles; Xavier Bellés; M Dolors Piulachs
Journal:  BMC Genomics       Date:  2009-04-30       Impact factor: 3.969

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