delimtools: an R package for species delimitation.

IF 1.9 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Genome Pub Date : 2026-01-01 DOI:10.1139/gen-2025-0119
Pedro S Bittencourt, Rupert A Collins, Tomas Hrbek
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引用次数: 0

Abstract

Single-locus species-delimitation methods using DNA barcoding data have made an important contribution to large scale biodiversity inventories and integrative taxonomy, allowing rapid and repeatable estimates of alpha diversity from huge numbers of individuals. A range of distance-based and tree-based methods now exist to perform these analyses, including ABGD, ASAP, GMYC, and mPTP. However, the outputs of such software are idiosyncratic and difficult to integrate and compare. The R package delimtools offers a platform capable of (1) pre-processing, cleaning, and formatting data; (2) collapsing and summarising haplotype information; (3) executing, parsing, and merging program outputs and species partitions; and (4) tabulating results, and visualizing on a phylogenetic tree. The open-source delimtools package opens up new avenues to scale up and standardize species delimitation analyses, and is available on the CRAN (https://cran.r-project.org/package=delimtools) and GitHub (https://github.com/legalLab/delimtools/) repositories.

delimtools:一个用于物种划分的R包。
利用DNA条形码数据的单位点物种划分方法为大规模生物多样性调查和综合分类做出了重要贡献,允许对大量个体的α多样性进行快速和可重复的估计。目前存在一系列基于距离和基于树的方法来执行这些分析,包括ABGD、ASAP、GMYC和mPTP。然而,这种软件的输出是特殊的,难以整合和比较。R包delimtools提供了一个能够:(1)预处理、清理和格式化数据的平台;(2)折叠汇总单倍型信息;(3)执行、解析、合并程序输出和物种划分;(4)将结果制表,并在系统发育树上可视化。开源的delimtools包为扩展和标准化物种划分分析开辟了新的途径,可以在CRAN (https://cran.r-project.org/package=delimtools)和GitHub (https://github.com/legalLab/delimtools/)存储库上获得。
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来源期刊
Genome
Genome 生物-生物工程与应用微生物
CiteScore
5.30
自引率
3.20%
发文量
42
审稿时长
6-12 weeks
期刊介绍: Genome is a monthly journal, established in 1959, that publishes original research articles, reviews, mini-reviews, current opinions, and commentaries. Areas of interest include general genetics and genomics, cytogenetics, molecular and evolutionary genetics, developmental genetics, population genetics, phylogenomics, molecular identification, as well as emerging areas such as ecological, comparative, and functional genomics.
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