ArticleApplications in plant sciences2018
chromploid: An R package for chromosome number evolution across the plant tree of life.
Article in Applications in plant sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Drift drives the evolution of chromosome number II: The impact of range size on genome evolution in Carnivora.The Journal of heredity · 2024Article
- Using ChromEvol to Determine the Mode of Chromosomal Evolution.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Diptera andFrontiers in ecology and evolution · 2022Article
- Chromosome Evolution in the Family Solanaceae.Frontiers in plant science · 2021Review
- Lineage-specific patterns of chromosome evolution are the rule not the exception in Polyneoptera insects.Proceedings. Biological sciences · 2020Article
- Polyploids increase overall diversity despite higher turnover than diploids in the Brassicaceae.Proceedings. Biological sciences · 2020Article
- A database of amphibian karyotypes.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2019Article
- chromploid: An R package for chromosome number evolution across the plant tree of life.Applications in plant sciences · 2018Article
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Authors and funding
3 authors.
Funding
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Abstract
premise of the studyPolyploidy has profound evolutionary consequences for land plants. Despite the availability of large phylogenetic and chromosomal data sets, estimating the rates of polyploidy and chromosomal evolution across the tree of life remains a challenging, computationally complex problem. We introduce the R package chromploid, which allows scientists to perform inference of chromosomal evolution rates across large phylogenetic trees. METHODS AND
resultschromploid is an open-source package in the R environment that calculates the likelihood function of models of chromosome evolution. Models of discrete character evolution can be customized using chromploid. We demonstrate the performance of the BiChroM model, testing for associations between rates of chromosome doubling (as a proxy for polyploidy) and a binary phenotypic character, within chromploid using simulations and empirical data from
conclusionschromploid enables researchers to perform robust likelihood-based inferences using complex models of chromosome number evolution across large phylogenies.
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