Literature DB >> 17495009

Evolutionarily conserved genes preferentially accumulate introns.

Liran Carmel1, Igor B Rogozin, Yuri I Wolf, Eugene V Koonin.   

Abstract

Introns that interrupt eukaryotic protein-coding sequences are generally thought to be nonfunctional. However, for reasons still poorly understood, positions of many introns are highly conserved in evolution. Previous reconstructions of intron gain and loss events during eukaryotic evolution used a variety of simplified evolutionary models that yielded contradicting conclusions and are not suited to reveal some of the key underlying processes. We combine a comprehensive probabilistic model and an extended data set, including 391 conserved genes from 19 eukaryotes, to uncover previously unnoticed aspects of intron evolution--in particular, to assign intron gain and loss rates to individual genes. The rates of intron gain and loss in a gene show moderate positive correlation. A gene's intron gain rate shows a highly significant negative correlation with the coding-sequence evolution rate; intron loss rate also significantly, but positively, correlates with the sequence evolution rate. Correlations of the opposite signs, albeit less significant ones, are observed between intron gain and loss rates and gene expression level. It is proposed that intron evolution includes a neutral component, which is manifest in the positive correlation between the gain and loss rates and a selection-driven component as reflected in the links between intron gain and loss and sequence evolution. The increased intron gain and decreased intron loss in evolutionarily conserved genes indicate that intron insertion often might be adaptive, whereas some of the intron losses might be deleterious. This apparent functional importance of introns is likely to be due, at least in part, to their multiple effects on gene expression.

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Year:  2007        PMID: 17495009      PMCID: PMC1899115          DOI: 10.1101/gr.5978207

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


  43 in total

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Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

Review 2.  An extensive network of coupling among gene expression machines.

Authors:  Tom Maniatis; Robin Reed
Journal:  Nature       Date:  2002-04-04       Impact factor: 49.962

3.  Introns and their positions affect the translational activity of mRNA in plant cells.

Authors:  V Bourdon; A Harvey; D M Lonsdale
Journal:  EMBO Rep       Date:  2001-05       Impact factor: 8.807

Review 4.  How introns influence and enhance eukaryotic gene expression.

Authors:  Hervé Le Hir; Ajit Nott; Melissa J Moore
Journal:  Trends Biochem Sci       Date:  2003-04       Impact factor: 13.807

5.  Requirements for intron-mediated enhancement of gene expression in Arabidopsis.

Authors:  Alan B Rose
Journal:  RNA       Date:  2002-11       Impact factor: 4.942

6.  Eukaryotic intron loss.

Authors:  Tobias Mourier; Daniel C Jeffares
Journal:  Science       Date:  2003-05-30       Impact factor: 47.728

7.  Large-scale comparison of intron positions among animal, plant, and fungal genes.

Authors:  Alexei Fedorov; Amir Feisal Merican; Walter Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-20       Impact factor: 11.205

Review 8.  Pre-mRNA splicing: awash in a sea of proteins.

Authors:  Melissa S Jurica; Melissa J Moore
Journal:  Mol Cell       Date:  2003-07       Impact factor: 17.970

9.  A single determinant dominates the rate of yeast protein evolution.

Authors:  D Allan Drummond; Alpan Raval; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2005-10-19       Impact factor: 16.240

10.  A quantitative analysis of intron effects on mammalian gene expression.

Authors:  Ajit Nott; Shlomo H Meislin; Melissa J Moore
Journal:  RNA       Date:  2003-05       Impact factor: 4.942

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  39 in total

1.  Three distinct modes of intron dynamics in the evolution of eukaryotes.

Authors:  Liran Carmel; Yuri I Wolf; Igor B Rogozin; Eugene V Koonin
Journal:  Genome Res       Date:  2007-05-10       Impact factor: 9.043

2.  Structural variations in protein superfamilies: actin and tubulin.

Authors:  Richard H Wade; Isabel Garcia-Saez; Frank Kozielski
Journal:  Mol Biotechnol       Date:  2009-01-08       Impact factor: 2.695

3.  Reverse transcriptase and intron number evolution.

Authors:  Kemin Zhou; Alan Kuo; Igor V Grigoriev
Journal:  Stem Cell Investig       Date:  2014-09-28

4.  A novel olfactory receptor gene family in teleost fish.

Authors:  Luis R Saraiva; Sigrun I Korsching
Journal:  Genome Res       Date:  2007-08-23       Impact factor: 9.043

5.  Frequency of intron loss correlates with processed pseudogene abundance: a novel strategy to test the reverse transcriptase model of intron loss.

Authors:  Tao Zhu; Deng-Ke Niu
Journal:  BMC Biol       Date:  2013-03-05       Impact factor: 7.431

6.  Intron presence-absence polymorphisms in Daphnia.

Authors:  Angela R Omilian; Douglas G Scofield; Michael Lynch
Journal:  Mol Biol Evol       Date:  2008-07-29       Impact factor: 16.240

7.  An overview of the introns-first theory.

Authors:  David Penny; Marc P Hoeppner; Anthony M Poole; Daniel C Jeffares
Journal:  J Mol Evol       Date:  2009-09-24       Impact factor: 2.395

8.  Selection for the compactness of highly expressed genes in Gallus gallus.

Authors:  You S Rao; Zhang F Wang; Xue W Chai; Guo Z Wu; Ming Zhou; Qing H Nie; Xi Q Zhang
Journal:  Biol Direct       Date:  2010-05-14       Impact factor: 4.540

9.  EREM: Parameter Estimation and Ancestral Reconstruction by Expectation-Maximization Algorithm for a Probabilistic Model of Genomic Binary Characters Evolution.

Authors:  Liran Carmel; Yuri I Wolf; Igor B Rogozin; Eugene V Koonin
Journal:  Adv Bioinformatics       Date:  2010-05-06

10.  Evolution of GHF5 endoglucanase gene structure in plant-parasitic nematodes: no evidence for an early domain shuffling event.

Authors:  Tina Kyndt; Annelies Haegeman; Godelieve Gheysen
Journal:  BMC Evol Biol       Date:  2008-11-03       Impact factor: 3.260

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