Abstract
Premise of the Study: Chromosome count data are available for hundreds of plant species and can be explored in text-only format at the Chromosome Counts Database (http://ccdb.tau.ac.il). CCDBcurator and EyeChrom are an R package and a web application, respectively, that first curate and then visualize these data graphically, so that intra- and interspecific variation of chromosome numbers can be easily summarized and displayed for a given genus. Methods and Results: We developed R code to clean, summarize, and display in several formats the chromosome count data for a selected genus or set of species present in the Chromosome Counts Database. These data and figures can be exported for use in analyses, publications, or teaching. Conclusions: Chromosome count data are critical for a number of evolutionary studies in plant biology, and their importance is underscored by the increasing appreciation of the prevalence of polyploidy in land plants. CCDBcurator and EyeChrom provide a fast, easy, and reproducible means of cleaning, curating, and then visualizing the chromosome count data currently available for plants.
Original language | English |
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Article number | e01207 |
Journal | Applications in Plant Sciences |
Volume | 7 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2019 |
Bibliographical note
Publisher Copyright:© 2019 Rivero et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America
Keywords
- chromosome
- data visualization
- genome size
- karyotype
- polyploidy
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Plant Science