expowo: An R package for mining global plant diversity and distribution data

IF 2.7 3区 生物学 Q2 PLANT SCIENCES
Débora C. Zuanny, Bruno Vilela, Peter W. Moonlight, Tiina E. Särkinen, Domingos Cardoso
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引用次数: 0

Abstract

PremiseData on plant distribution and diversity from natural history collections and taxonomic databases are increasingly becoming available online as exemplified by the Royal Botanic Gardens, Kew's Plants of the World Online (POWO) database. This growing accumulation of biodiversity information requires an advance in bioinformatic tools for accessing and processing the massive data for use in downstream science. We present herein expowo, an open‐source package that facilitates extracting and using botanical data from POWO.Methods and ResultsThe expowo package is implemented in R and designed to handle the entire vascular plant tree of life. It includes functions to readily distill taxonomic and distributional information about all families, genera, or species of vascular plants. It outputs a complete list of species in each genus of any plant family, with the associated original publication, synonyms, and distribution, and plots global maps of species richness at the country and botanical country levels, as well as graphs displaying species‐discovery accumulation curves and nomenclatural changes over time. To demonstrate expowo's strengths in producing easy‐to‐handle outputs, we also show empirical examples from a set of biodiverse countries and representative species‐rich and ecologically important angiosperm families.ConclusionsBy harnessing bioinformatic tools that accommodate varying levels of R programming proficiency, expowo functions assist users who have limited R programming expertise in efficiently distilling specific botanical information from online sources and producing maps and graphics for the further interpretation of biogeographic and taxonomic patterns.
expowo:用于挖掘全球植物多样性和分布数据的 R 软件包
前言 来自自然历史收藏和分类数据库的植物分布和多样性数据越来越多地在网上提供,英国皇家植物园邱园的世界植物在线(POWO)数据库就是一例。生物多样性信息的不断积累需要生物信息学工具的进步,以便访问和处理海量数据,用于下游科学研究。我们在此介绍一个开源软件包expowo,它有助于从POWO中提取和使用植物学数据。方法与结果expowo软件包由R语言实现,旨在处理整个维管植物生命树。它包含的功能可轻松提炼出维管植物所有科、属或种的分类和分布信息。它可输出任何植物科中每个属的完整物种列表,包括相关的原始出版物、同义词和分布情况,并绘制国家和植物学国家级别的物种丰富度全球地图,以及显示物种发现积累曲线和命名法随时间变化的图表。为了展示 expowo 在生成易于处理的输出结果方面的优势,我们还展示了一组生物多样性国家和具有代表性的物种丰富且在生态学上具有重要意义的被子植物科的经验实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.30
自引率
0.00%
发文量
50
审稿时长
12 weeks
期刊介绍: Applications in Plant Sciences (APPS) is a monthly, peer-reviewed, open access journal promoting the rapid dissemination of newly developed, innovative tools and protocols in all areas of the plant sciences, including genetics, structure, function, development, evolution, systematics, and ecology. Given the rapid progress today in technology and its application in the plant sciences, the goal of APPS is to foster communication within the plant science community to advance scientific research. APPS is a publication of the Botanical Society of America, originating in 2009 as the American Journal of Botany''s online-only section, AJB Primer Notes & Protocols in the Plant Sciences. APPS publishes the following types of articles: (1) Protocol Notes describe new methods and technological advancements; (2) Genomic Resources Articles characterize the development and demonstrate the usefulness of newly developed genomic resources, including transcriptomes; (3) Software Notes detail new software applications; (4) Application Articles illustrate the application of a new protocol, method, or software application within the context of a larger study; (5) Review Articles evaluate available techniques, methods, or protocols; (6) Primer Notes report novel genetic markers with evidence of wide applicability.
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