State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, PR China.
Ningbo Academy of Inspection and Quarantine, Ningbo Zhejiang 315012, PR China; Technical Center of Ningbo Customs District, Ningbo Zhejiang 315012, PR China.
Food Microbiol. 2024 Dec;124:104615. doi: 10.1016/j.fm.2024.104615. Epub 2024 Aug 5.
Seeds are important microbial vectors, and seed-associated pathogens can be introduced into a country through trade, resulting in yield and quality losses in agriculture. The aim of this study was to characterize the microbial communities associated with barley seeds, and based on which, to develop technical approaches to trace their geographical origins, and to inspect and identify quarantine pathogens. Our analysis defined the core microbiota of barley seed and revealed significant differences in the barley seed-associated microbial communities among different continents, suggesting a strong geographic specificity of the barley seed microbiota. By implementing a machine learning model, we achieved over 95% accuracy in tracing the origin of barley seeds. Furthermore, the analysis of co-occurrence and exclusion patterns provided important insights into the identification of candidate biocontrol agents or microbial inoculants that could be useful in improving barley yield and quality. A core pathogen database was developed, and a procedure for inspecting potential quarantine species associated with barley seed was established. These approaches proved effective in detecting four fungal and three bacterial quarantine species for the first time in the port of China. This study not only characterized the core microbiota of barley seeds but also provided practical approaches for tracing the regional origin of barley and identifying potential quarantine pathogens.
种子是重要的微生物载体,通过贸易,种子携带的病原体可能会被引入一个国家,从而导致农业减产和降低农产品质量。本研究旨在对大麦种子相关的微生物群落进行特征描述,并基于此,开发技术方法来追溯其地理起源,检查和识别检疫性病原菌。我们的分析确定了大麦种子的核心微生物群,并揭示了不同大陆之间大麦种子相关微生物群落的显著差异,表明大麦种子微生物群具有很强的地理特异性。通过实施机器学习模型,我们实现了追溯大麦种子起源的准确率超过 95%。此外,对共存和排除模式的分析为鉴定候选生物防治剂或微生物接种剂提供了重要的见解,这些生物防治剂或微生物接种剂可能有助于提高大麦的产量和质量。建立了一个核心病原体数据库,并建立了一种检查与大麦种子相关的潜在检疫物种的程序。这些方法在中国港口首次有效地检测到了四种真菌和三种细菌检疫性物种。本研究不仅对大麦种子的核心微生物群进行了特征描述,还为追溯大麦的地区起源和鉴定潜在的检疫性病原菌提供了实用方法。