药用植物根系微生物组的操作分类单位目录和统一扩增子测序数据

Meng Wang , Ming Lei , Hailun He
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引用次数: 2

摘要

中国有着丰富的药用植物栽培历史,其根部微生物群落与药用植物密切相互作用,从而影响其生长、健康和药用特性。目前,研究人员广泛使用16S rRNA基因扩增子测序来研究这些根系微生物群落。然而,公开可用的序列数据集往往缺乏必要的样本信息或包含错误,阻碍了数据集在未来的重用。在本研究中,我们的目标是建立一个统一的、可靠的、易于使用的药用植物根系微生物组16S rRNA基因序列来源。我们编制了来自58项研究的58种药用植物的1392个微生物组样本目录,并根据相关论文中描述的实验设置手动提供必要的样本信息。然后,我们使用自定义管道处理序列,生成操作分类单元(otu)的统一目录并进行分类分类。我们还预测了每个样本群落的生态功能。最后,我们利用该数据对福建和贵州的异叶拟星根际细菌群落进行了比较,发现同一种植物在不同地理位置的群落组成存在显著差异。本研究为药用植物根系细菌群落的扩增子序列和otu提供了一个全面、统一的目录,为未来的比较研究和数据挖掘提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Catalog of operational taxonomic units and unified amplicon sequencing data for the microbiomes of medicinal plant roots

Catalog of operational taxonomic units and unified amplicon sequencing data for the microbiomes of medicinal plant roots

China has a rich history of cultivating medicinal plants, whose root microbial communities closely interact with the medicinal plants, thereby influencing their growth, health, and medicinal properties. Currently, researchers widely use 16S rRNA gene amplicon sequencing to study these root microbial communities. However, publicly available sequence datasets often lack essential sample information or contain errors, impeding the reuse of the datasets in the future. In this study, we aimed to create a united, reliable, and readily usable source of 16S rRNA gene sequences for medicinal plant root microbiomes. We compiled a catalog of 1392 microbiome samples for 58 medicinal plants from 58 studies, and manually provided essential sample information based on the experimental setup described in the associated papers. We then processed the sequences using a custom pipeline, generating a united catalog of operational taxonomic units (OTUs) and conducting taxonomic classification. We also predicted the ecological functions of the communities for each sample. Finally, we used this dataset, to compare the rhizosphere bacterial communities of Pseudostellaria heterophylla from Fujian and Guizhou Provinces, revealing significant differences in the community composition of the same plant from different geographic locations. By providing a comprehensive and united catalog of amplicon sequences and OTUs for medicinal plant root bacterial communities, this study offers an invaluable resource for future comparative studies and data mining.

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