BeeBiome数据门户提供了便捷的蜜蜂微生物组信息获取途径。
The BeeBiome data portal provides easy access to bee microbiome information.
作者信息
Rech de Laval Valentine, Dainat Benjamin, Engel Philippe, Robinson-Rechavi Marc
机构信息
Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland.
SIB Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.
出版信息
BMC Bioinformatics. 2025 Jul 29;26(1):198. doi: 10.1186/s12859-025-06229-7.
Bees can be colonized by a large diversity of microbes, including beneficial gut symbionts and detrimental pathogens, with implications for bee health. Over the last few years, researchers around the world have collected a huge amount of genomic and transcriptomic data about the composition, genomic content, and gene expression of bee-associated microbial communities. While each of these datasets by itself has provided important insights, the integration of such datasets provides an unprecedented opportunity to obtain a global picture of the microbes associated with bees and their link to bee health. The challenge of such an approach is that datasets are difficult to find within large generalist repositories and are often not readily accessible, which hinders integrative analyses. Here we present a publicly-available online resource, the BeeBiome data portal ( https://www.beebiome.org ), which provides an overview of and easy access to currently available metagenomic datasets involving bee-associated microbes. Currently the data portal contains 33,678 Sequence Read Archive (SRA) experiments for 278 Apoidea hosts. We present the content and functionalities of this portal. By providing access to all bee microbiomes in a single place, with easy filtering on relevant criteria, BeeBiome will allow faster progress of applied and fundamental research on bee biology and health. It should be a useful tool for researchers, academics, funding agencies, and governments, with beneficial impacts for stakeholders.
蜜蜂可被多种微生物定殖,包括有益的肠道共生菌和有害的病原体,这对蜜蜂健康有影响。在过去几年里,世界各地的研究人员收集了大量关于与蜜蜂相关的微生物群落的组成、基因组内容和基因表达的基因组学和转录组学数据。虽然这些数据集中的每一个本身都提供了重要的见解,但整合这些数据集提供了一个前所未有的机会,以获得与蜜蜂相关的微生物的全局图景及其与蜜蜂健康的联系。这种方法面临的挑战是,数据集在大型通用存储库中很难找到,而且通常不容易获取,这阻碍了综合分析。在这里,我们展示了一个公开可用的在线资源——蜜蜂生物群落数据门户(https://www.beebiome.org),它概述了目前可用的涉及与蜜蜂相关微生物的宏基因组数据集,并提供了对这些数据集的便捷访问。目前,该数据门户包含针对278种膜翅目昆虫宿主的33678个序列读取存档(SRA)实验。我们展示了这个门户的内容和功能。通过在一个地方提供对所有蜜蜂微生物组的访问,并根据相关标准进行轻松筛选,蜜蜂生物群落数据门户将加快蜜蜂生物学和健康方面的应用研究和基础研究的进展。它应该是研究人员、学者、资助机构和政府的一个有用工具,对利益相关者有有益的影响。