Literature DB >> 20874398

Yeast ancestral genome reconstructions: the possibilities of computational methods II.

Cedric Chauve1, Haris Gavranovic, Aida Ouangraoua, Eric Tannier.   

Abstract

Since the availability of assembled eukaryotic genomes, the first one being a budding yeast, many computational methods for the reconstruction of ancestral karyotypes and gene orders have been developed. The difficulty has always been to assess their reliability, since we often miss a good knowledge of the true ancestral genomes to compare their results to, as well as a good knowledge of the evolutionary mechanisms to test them on realistic simulated data. In this study, we propose some measures of reliability of several kinds of methods, and apply them to infer and analyse the architectures of two ancestral yeast genomes, based on the sequence of seven assembled extant ones. The pre-duplication common ancestor of S. cerevisiae and C. glabrata has been inferred manually by Gordon et al. (Plos Genet. 2009). We show why, in this case, a good convergence of the methods is explained by some properties of the data, and why results are reliable. In another study, Jean et al. (J. Comput Biol. 2009) proposed an ancestral architecture of the last common ancestor of S. kluyveri, K. thermotolerans, K. lactis, A. gossypii, and Z. rouxii inferred by a computational method. In this case, we show that the dataset does not seem to contain enough information to infer a reliable architecture, and we construct a higher resolution dataset which gives a good reliability on a new ancestral configuration.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20874398     DOI: 10.1089/cmb.2010.0092

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


  8 in total

1.  Implicit Transpositions in DCJ Scenarios.

Authors:  Pavel Avdeyev; Shuai Jiang; Max A Alekseyev
Journal:  Front Genet       Date:  2017-12-12       Impact factor: 4.599

2.  Mapping ancestral genomes with massive gene loss: a matrix sandwich problem.

Authors:  Haris Gavranović; Cedric Chauve; Jérôme Salse; Eric Tannier
Journal:  Bioinformatics       Date:  2011-07-01       Impact factor: 6.937

Review 3.  Inferring Orthologs: Open Questions and Perspectives.

Authors:  Fredj Tekaia
Journal:  Genomics Insights       Date:  2016-02-25

4.  ProCARs: Progressive Reconstruction of Ancestral Gene Orders.

Authors:  Amandine Perrin; Jean-Stéphane Varré; Samuel Blanquart; Aïda Ouangraoua
Journal:  BMC Genomics       Date:  2015-05-26       Impact factor: 3.969

5.  Reconstructing ancestral gene orders with duplications guided by synteny level genome reconstruction.

Authors:  Ashok Rajaraman; Jian Ma
Journal:  BMC Bioinformatics       Date:  2016-11-11       Impact factor: 3.169

6.  Reconstructing Yeasts Phylogenies and Ancestors from Whole Genome Data.

Authors:  Bing Feng; Yu Lin; Lingxi Zhou; Yan Guo; Robert Friedman; Ruofan Xia; Fei Hu; Chao Liu; Jijun Tang
Journal:  Sci Rep       Date:  2017-11-09       Impact factor: 4.379

7.  Evolution of gene neighborhoods within reconciled phylogenies.

Authors:  Sèverine Bérard; Coralie Gallien; Bastien Boussau; Gergely J Szöllősi; Vincent Daubin; Eric Tannier
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

8.  Linearization of ancestral multichromosomal genomes.

Authors:  Ján Maňuch; Murray Patterson; Roland Wittler; Cedric Chauve; Eric Tannier
Journal:  BMC Bioinformatics       Date:  2012-12-19       Impact factor: 3.169

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.