PhyloNext:GBIF介导数据的系统发育多样性分析管道。

IF 2.3 Q2 ECOLOGY
Vladimir Mikryukov, Kessy Abarenkov, Shawn Laffan, Tim Robertson, Emily Jane McTavish, Thomas Stjernegaard Jeppesen, John Waller, Matthew Blissett, Urmas Kõljalg, Joseph T Miller
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引用次数: 0

摘要

背景:了解生物多样性模式是生物地理学和生态学的核心课题,对保护规划和政策制定至关重要。考虑到物种间进化关系的多样性估算,如系统发育多样性和系统发育地方性指数,为了解生物群落的功能多样性和进化独特性提供了宝贵的见解。这些估计值对于知情决策和有效的全球生物多样性管理至关重要。然而,目前用于生成这些指标的方法在效率、准确性和数据整合方面遇到了挑战:我们介绍了PhyloNext,这是一个灵活的数据密集型计算管道,专为系统发育多样性和地方性分析而设计。该管道将 GBIF 发生数据和 OpenTree 系统发生与 Biodiverse 软件整合在一起。PhyloNext 是免费、开源的,并以 Docker 和 Singularity 容器的形式提供,安装十分方便。为了提高用户的可访问性,我们开发了一个用户友好、基于网络的图形用户界面,便于用户轻松高效地浏览和执行管道。PhyloNext 简化了进行系统发育多样性分析的过程,提高了效率、准确性和可重复性。自动化工作流程允许使用更新的输入数据进行定期重新分析,确保保护战略始终具有相关性,并以最新的可用数据为依据:PhyloNext 为研究人员、保护工作者和政策制定者提供了一个强大的工具,有助于更广泛地了解生物多样性模式,支持更有效的保护规划和政策制定。这一新管道简化了可复制、易更新的系统发育多样性分析的创建过程。此外,它还增强了与其他生物多样性数据库和分析工具的互操作性和集成性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

PhyloNext: a pipeline for phylogenetic diversity analysis of GBIF-mediated data.

PhyloNext: a pipeline for phylogenetic diversity analysis of GBIF-mediated data.

Background: Understanding biodiversity patterns is a central topic in biogeography and ecology, and it is essential for conservation planning and policy development. Diversity estimates that consider the evolutionary relationships among species, such as phylogenetic diversity and phylogenetic endemicity indices, provide valuable insights into the functional diversity and evolutionary uniqueness of biological communities. These estimates are crucial for informed decision-making and effective global biodiversity management. However, the current methodologies used to generate these metrics encounter challenges in terms of efficiency, accuracy, and data integration.

Results: We introduce PhyloNext, a flexible and data-intensive computational pipeline designed for phylogenetic diversity and endemicity analysis. The pipeline integrates GBIF occurrence data and OpenTree phylogenies with the Biodiverse software. PhyloNext is free, open-source, and provided as Docker and Singularity containers for effortless setup. To enhance user accessibility, a user-friendly, web-based graphical user interface has been developed, facilitating easy and efficient navigation for exploring and executing the pipeline. PhyloNext streamlines the process of conducting phylogenetic diversity analyses, improving efficiency, accuracy, and reproducibility. The automated workflow allows for periodic reanalysis using updated input data, ensuring that conservation strategies remain relevant and informed by the latest available data.

Conclusions: PhyloNext provides researchers, conservationists, and policymakers with a powerful tool to facilitate a broader understanding of biodiversity patterns, supporting more effective conservation planning and policy development. This new pipeline simplifies the creation of reproducible and easily updatable phylogenetic diversity analyses. Additionally, it promotes increased interoperability and integration with other biodiversity databases and analytical tools.

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