Rivero Rodrigo, Sessa Emily B, Zenil-Ferguson Rosana
Department of Biology University of Florida Box 118525 Gainesville Florida 32611 USA.
Department of Natural Resources and Environmental Management University of Hawaii 1910 East-West Road Manoa Hawaii 96822 USA.
Appl Plant Sci. 2019 Jan 4;7(1):e01207. doi: 10.1002/aps3.1207. eCollection 2019 Jan.
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). and 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.
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.
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. and provide a fast, easy, and reproducible means of cleaning, curating, and then visualizing the chromosome count data currently available for plants.
已有数百种植物的染色体计数数据，可在染色体计数数据库（http://ccdb.tau.ac.il）以纯文本格式进行查询。[具体工具名称1]和[具体工具名称2]分别是一个R包和一个网络应用程序，它们首先对这些数据进行整理，然后以图形方式将其可视化，这样就可以轻松总结并展示给定属内种间和种内的染色体数目变异情况。
我们开发了R代码，用于清理、总结并以多种格式显示染色体计数数据库中所选属或一组物种的染色体计数数据。这些数据和图表可导出用于分析、出版或教学。
染色体计数数据对于植物生物学中的许多进化研究至关重要，随着人们对陆地植物中多倍体普遍性认识的不断提高，其重要性也日益凸显。[具体工具名称1]和[具体工具名称2]提供了一种快速、简便且可重复的方法，用于清理、整理并可视化目前可获取的植物染色体计数数据。
