Probabilistic models of chromosome number evolution and the inference of polyploidy

Itay Mayrose, Michael S Barker, Sarah P. Otto

Research output: Contribution to journalArticle

107 Citations (Scopus)

Abstract

Polyploidy, the genome wide duplication of chromosome number, is a key feature in eukaryote evolution. Polyploidy exists in diverse groups including animals, fungi, and invertebrates but is especially prevalent in plants with most, if not all, plant species having descended from a polyploidization event. Polyploids often differ markedly from their diploid progenitors in morphological, physiological, and life history characteristics as well as rates of adaptation. The altered characteristics displayed by polyploids may contribute to their success in novel ecological habitats. Clearly, a better understanding of the processes underlying changes in the number of chromosomes within genomes is a key goal in our understanding of speciation and adaptation for a wide range of families and genera. Despite the fundamental role of chromosome number change in eukaryotic evolution, probabilistic models describing the evolution of chromosome number along a phylogeny have not yet been formulated. We present a series of likelihood models, each representing a different hypothesis regarding the evolution of chromosome number along a given phylogeny. These models allow us to reconstruct ancestral chromosome numbers and to estimate the expected number of polyploidization events and single chromosome changes (dysploidy) that occurred along a phylogeny. We test, using simulations, the accuracy of this approach and its dependence on the number of taxa and tree length. We then demonstrate the application of the method for the study of chromosome number evolution in 4 plant genera: Aristolochia, Carex, Passiflora, and Helianthus. Considering the depth of the available cytological and phylogenetic data, formal models of chromosome number evolution are expected to advance significantly our understanding of the importance of polyploidy and dysploidy across different taxonomic groups.

Original languageEnglish (US)
Pages (from-to)132-144
Number of pages13
JournalSystematic Biology
Volume59
Issue number2
DOIs
StatePublished - Mar 2010
Externally publishedYes

Fingerprint

probabilistic models
polyploidy
Polyploidy
Statistical Models
chromosome number
chromosome
Chromosomes
Phylogeny
phylogeny
Aristolochia
chromosomes
Passiflora
Chromosome Duplication
Genome
Helianthus
genome
Carex
application methods
Invertebrates
Eukaryota

Keywords

  • Chromosome evolution
  • Dysploidy
  • Evolutionary models
  • Genome duplication
  • Polyploidy

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Medicine(all)

Cite this

Probabilistic models of chromosome number evolution and the inference of polyploidy. / Mayrose, Itay; Barker, Michael S; Otto, Sarah P.

In: Systematic Biology, Vol. 59, No. 2, 03.2010, p. 132-144.

Research output: Contribution to journalArticle

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