Literature DB >> 21899415

A new genomic evolutionary model for rearrangements, duplications, and losses that applies across eukaryotes and prokaryotes.

Yu Lin1, Bernard M E Moret.   

Abstract

Genomic rearrangements have been studied since the beginnings of modern genetics and models for such rearrangements have been the subject of many papers over the last 10 years. However, none of the extant models can predict the evolution of genomic organization into circular unichromosomal genomes (as in most prokaryotes) and linear multichromosomal genomes (as in most eukaryotes). Very few of these models support gene duplications and losses--yet these events may be more common in evolutionary history than rearrangements and themselves cause apparent rearrangements. We propose a new evolutionary model that integrates gene duplications and losses with genome rearrangements and that leads to genomes with either one (or a very few) circular chromosome or a collection of linear chromosomes. Our model is based on existing rearrangement models and inherits their linear-time algorithms for pairwise distance computation (for rearrangement only). Moreover, our model predictions fit observations about the evolution of gene family sizes and agree with the existing predictions about the growth in the number of chromosomes in eukaryotic genomes.

Mesh:

Year:  2011        PMID: 21899415     DOI: 10.1089/cmb.2011.0098

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  4 in total

1.  Sorting genomes with rearrangements and segmental duplications through trajectory graphs.

Authors:  Mingfu Shao; Yu Lin; Bernard Moret
Journal:  BMC Bioinformatics       Date:  2013-10-15       Impact factor: 3.169

2.  Genome-wide gene order distances support clustering the gram-positive bacteria.

Authors:  Christopher H House; Matteo Pellegrini; Sorel T Fitz-Gibbon
Journal:  Front Microbiol       Date:  2015-01-20       Impact factor: 5.640

3.  Indel reliability in indel-based phylogenetic inference.

Authors:  Haim Ashkenazy; Ofir Cohen; Tal Pupko; Dorothée Huchon
Journal:  Genome Biol Evol       Date:  2014-11-18       Impact factor: 3.416

4.  Phylo SI: a new genome-wide approach for prokaryotic phylogeny.

Authors:  Anton Shifman; Noga Ninyo; Uri Gophna; Sagi Snir
Journal:  Nucleic Acids Res       Date:  2013-11-15       Impact factor: 16.971

  4 in total

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