Literature DB >> 18629667

Computational reconstruction of ancestral DNA sequences.

Mathauieu Blanchette1, Abdoulaye Baniré Diallo, Eric D Green, Webb Miller, David Haussler.   

Abstract

This chapter introduces the problem of ancestral sequence reconstruction: given a set of extant orthologous DNA genomic sequences (or even whole-genomes), together with a phylogenetic tree relating these sequences, predict the DNA sequence of all ancestral species in the tree. Blanchette et al. (1) have shown that for certain sets of species (in particular, for eutherian mammals), very accurate reconstruction can be obtained. We explain the main steps involved in this process, including multiple sequence alignment, insertion and deletion inference, substitution inference, and gene arrangement inference. We also describe a simulation-based procedure to assess the accuracy of the reconstructed sequences. The whole reconstruction process is illustrated using a set of mammalian sequences from the CFTR region.

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Year:  2008        PMID: 18629667     DOI: 10.1007/978-1-59745-581-7_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  15 in total

1.  Comparative analysis of the primate X-inactivation center region and reconstruction of the ancestral primate XIST locus.

Authors:  Julie E Horvath; Christina B Sheedy; Stephanie L Merrett; Abdoulaye Banire Diallo; David L Swofford; Eric D Green; Huntington F Willard
Journal:  Genome Res       Date:  2011-04-25       Impact factor: 9.043

2.  Neutral evolution of robustness in Drosophila microRNA precursors.

Authors:  Nicholas Price; Reed A Cartwright; Niv Sabath; Dan Graur; Ricardo B R Azevedo
Journal:  Mol Biol Evol       Date:  2011-01-31       Impact factor: 16.240

3.  Prediction of human miRNA target genes using computationally reconstructed ancestral mammalian sequences.

Authors:  Mickael Leclercq; Abdoulaye Baniré Diallo; Mathieu Blanchette
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

Review 4.  Utilizing natural diversity to evolve protein function: applications towards thermostability.

Authors:  Megan F Cole; Eric A Gaucher
Journal:  Curr Opin Chem Biol       Date:  2011-04-04       Impact factor: 8.822

5.  Reconstructed ancestral sequences improve pathogen identification using resequencing DNA microarrays.

Authors:  Nicolas Berthet; Alexis Deletoile; Virginie Passet; Giulia C Kennedy; Jean-Claude Manuguerra; Stewart T Cole; Sylvain Brisse
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

6.  PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment.

Authors:  Botond Sipos; Tim Massingham; Gregory E Jordan; Nick Goldman
Journal:  BMC Bioinformatics       Date:  2011-04-19       Impact factor: 3.307

7.  Seevolution: visualizing chromosome evolution.

Authors:  Andrés Esteban-Marcos; Aaron E Darling; Mark A Ragan
Journal:  Bioinformatics       Date:  2009-02-20       Impact factor: 6.937

8.  A universal trend among proteomes indicates an oily last common ancestor.

Authors:  Ranjan V Mannige; Charles L Brooks; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2012-12-27       Impact factor: 4.475

9.  Genome-wide analysis of selective constraints on high stability regions of mRNA reveals multiple compensatory mutations in Escherichia coli.

Authors:  Yuanhui Mao; Qian Li; Yinwen Zhang; Junjie Zhang; Gehong Wei; Shiheng Tao
Journal:  PLoS One       Date:  2013-09-27       Impact factor: 3.240

10.  πBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios.

Authors:  Filip Bielejec; Philippe Lemey; Luiz Max Carvalho; Guy Baele; Andrew Rambaut; Marc A Suchard
Journal:  BMC Bioinformatics       Date:  2014-05-07       Impact factor: 3.169

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