Abstract

Ancestral genome reconstruction can be understood as a phylogenetic study with more details than a traditional phylogenetic tree reconstruction. We present a new computational system called REGEN for ancestral bacterial genome reconstruction at both the gene and replicon levels. REGEN reconstructs gene content, contiguous gene runs, and replicon structure for each ancestral genome. Along each branch of the phylogenetic tree, REGEN infers evolutionary events, including gene creation and deletion and replicon fission and fusion. The reconstruction can be performed by either a maximum parsimony or a maximum likelihood method. Gene content reconstruction is based on the concept of neighboring gene pairs. REGEN was designed to be used with any set of genomes that are sufficiently related, which will usually be the case for bacteria within the same taxonomic order. We evaluated REGEN using simulated genomes and genomes in the Rhizobiales order.

Highlights

  • Ancestral genome reconstruction can be understood as a phylogenetic study of a set of species with more details than what is provided by a traditional phylogenetic tree

  • We compared reconstructions produced by the maximum parsimony (MP) and maximum likelihood (ML) methods with gene pair cutoff set to 0.75, 0.8, 0.85, 0.9, 0.95, and 0.97

  • In order to simplify the analysis process, we focused on the reconstructed gene runs with at least four genes for the last common ancestor (LCA) of all Rhizobiales species

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Summary

Introduction

Ancestral genome reconstruction can be understood as a phylogenetic study of a set of species with more details than what is provided by a traditional phylogenetic tree It may include information about ancestor species such as their gene content, the order of these genes in the genome, the replicon. That we call REGEN (REconstruction of GENomes), which includes phylogenomic tree reconstruction, ortholog identification and refinement (which uses results previously published [12]), gene content reconstruction, contiguous gene run reconstruction, and replicon architecture reconstruction. It does not include nucleotide sequence reconstruction. REGEN is open source software [14]

Results on Simulated Data
Evaluation with Operon Structure Information
Leave-One-Out Test
Phylogenomic Trees
Orthologous Gene Identification and Refinement
Ancestral Gene Content Reconstruction
Ancestral Gene Run Reconstruction
2.10. Evolutionary History of Ancestral Gene Runs
2.11. Replicon Reconstruction
2.13. Comparison to Previous Work
Definitions
Species Tree Reconstruction
Homologous Gene Family Identification and Refinement
Ancestral Genome Reconstruction
Reconstructed Replicon Merge
Chromosome Restoration
Ancestral Evolutionary Event Reconstruction
Ancestral Gene Run and Genome Function Annotation
Simulated Datasets
3.10. Genomes
Conclusions
Full Text
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