Phylogeny analysis from gene-order data with massive duplications.

Journal: BMC genomics
PMID:

Abstract

BACKGROUND: Gene order changes, under rearrangements, insertions, deletions and duplications, have been used as a new type of data source for phylogenetic reconstruction. Because these changes are rare compared to sequence mutations, they allow the inference of phylogeny further back in evolutionary time. There exist many computational methods for the reconstruction of gene-order phylogenies, including widely used maximum parsimonious methods and maximum likelihood methods. However, both methods face challenges in handling large genomes with many duplicated genes, especially in the presence of whole genome duplication.

Authors

  • Lingxi Zhou
    Department of Computer Science and Engineering, University of South Carolina, Columbia, 29208, South Carolina, USA.
  • Yu Lin
    Research School of Computer Science, Australian National University, Canberra, 2601, ACT, Australia.
  • Bing Feng
    Department of Computer Science and Engineering, University of South Carolina, Columbia, 29208, South Carolina, USA.
  • Jieyi Zhao
    University of Texas School of Biomedical Informatics at Houston, Houston, 77030, Texas, USA.
  • Jijun Tang
    School of Computer Science and Engineering, Tianjin University, Tianjin, 300072, China. jtang@cse.sc.edu.