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Evaluating and Characterizing Ancient Whole-Genome Duplications in Plants with Gene Count Data.
Tiley, George P; Ané, Cécile; Burleigh, J Gordon.
Affiliation
  • Tiley GP; Department of Biology, University of Florida gtiley@ufl.edu.
  • Ané C; Department of Statistics, University of Wisconsin-Madison Department of Botany, University of Wisconsin-Madison.
  • Burleigh JG; Department of Biology, University of Florida.
Genome Biol Evol ; 8(4): 1023-37, 2016 Apr 11.
Article in En | MEDLINE | ID: mdl-26988251
ABSTRACT
Whole-genome duplications (WGDs) have helped shape the genomes of land plants, and recent evidence suggests that the genomes of all angiosperms have experienced at least two ancient WGDs. In plants, WGDs often are followed by rapid fractionation, in which many homeologous gene copies are lost. Thus, it can be extremely difficult to identify, let alone characterize, ancient WGDs. In this study, we use a new maximum likelihood estimator to test for evidence of ancient WGDs in land plants and estimate the fraction of new genes copies that are retained following a WGD using gene count data, the number of gene copies in gene families. We identified evidence of many putative ancient WGDs in land plants and found that the genome fractionation rates vary tremendously among ancient WGDs. Analyses of WGDs within Brassicales also indicate that background gene duplication and loss rates vary across land plants, and different gene families have different probabilities of being retained following a WGD. Although our analyses are largely robust to errors in duplication and loss rates and the choice of priors, simulations indicate that this method can have trouble detecting multiple WGDs that occur on the same branch, especially when the gene retention rates for ancient WGDs are very low. They also suggest that we should carefully evaluate evidence for some ancient plant WGD hypotheses.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Genome, Plant / Evolution, Molecular / Gene Duplication Language: En Journal: Genome Biol Evol Journal subject: BIOLOGIA / BIOLOGIA MOLECULAR Year: 2016 Document type: Article Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Genome, Plant / Evolution, Molecular / Gene Duplication Language: En Journal: Genome Biol Evol Journal subject: BIOLOGIA / BIOLOGIA MOLECULAR Year: 2016 Document type: Article Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM