Multiple graphical views for automatically generating SQL for the MycoDiversity DB; making fungal biodiversity studies accessible.

IF 1.1 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION Biodiversity Data Journal Pub Date : 2024-06-18 eCollection Date: 2024-01-01 DOI:10.3897/BDJ.12.e119660
Irene Martorelli, Aram Pooryousefi, Haike van Thiel, Floris J Sicking, Guus J Ramackers, Vincent Merckx, Fons J Verbeek
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Abstract

Fungi is a highly diverse group of eukaryotic organisms that live under an extremely wide range of environmental conditions. Nowadays, there is a fundamental focus on observing how biodiversity varies on different spatial scales, in addition to understanding the environmental factors which drive fungal biodiversity. Metabarcoding is a high-throughput DNA sequencing technology that has positively contributed to observing fungal communities in environments. While the DNA sequencing data generated from metabarcoding studies are available in public archives, this valuable data resource is not directly usable for fungal biodiversity investigation. Additionally, due to its fragmented storage and distributed nature, it is not immediately accessible through a single user interface. We developed the MycoDiversity DataBase User Interface (https://mycodiversity.liacs.nl) to provide direct access and retrieval of fungal data that was previously inaccessible in the public domain. The user interface provides multiple graphical views of the data components used to reveal fungal biodiversity. These components include reliable geo-location terms, the reference taxonomic scientific names associated with fungal species and the standard features describing the environment where they occur. Direct observation of the public DNA sequencing data in association with fungi is accessible through SQL search queries created by interactively manipulating topological maps and dynamic hierarchical tree views. The search results are presented in configurable data table views that can be downloaded for further use. With the MycoDiversity DataBase User Interface, we make fungal biodiversity data accessible, assisting researchers and other stakeholders in using metabarcoding studies for assessing fungal biodiversity.

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为 MycoDiversity 数据库自动生成 SQL 的多种图形视图;使真菌生物多样性研究变得易于访问。
真菌是一种高度多样化的真核生物,生活在极其广泛的环境条件下。如今,除了了解驱动真菌生物多样性的环境因素外,人们还重点观察生物多样性在不同空间尺度上的变化情况。元条码是一种高通量 DNA 测序技术,对观察环境中的真菌群落起到了积极作用。虽然元条码研究产生的 DNA 测序数据可在公共档案中查阅,但这一宝贵的数据资源并不能直接用于真菌生物多样性调查。此外,由于其分散存储和分布式性质,无法通过单一用户界面立即访问。我们开发了 MycoDiversity 数据库用户界面 (https://mycodiversity.liacs.nl),以便直接访问和检索以前在公共领域无法获取的真菌数据。该用户界面提供用于揭示真菌生物多样性的数据组件的多种图形视图。这些组件包括可靠的地理定位术语、与真菌物种相关的参考分类学名称以及描述真菌出现环境的标准特征。通过交互式操作拓扑图和动态层次树视图创建的 SQL 搜索查询,可直接观察与真菌相关的公共 DNA 测序数据。搜索结果显示在可配置的数据表视图中,可下载供进一步使用。通过 MycoDiversity 数据库用户界面,我们可以访问真菌生物多样性数据,帮助研究人员和其他利益相关者利用代谢编码研究评估真菌生物多样性。
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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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