Characterization of core microbiota of barley seeds from different continents for origin tracing and quarantine pathogen assessment

IF 4.5 1区 农林科学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Xin Zhou , Fang Liu , Chun-Chun Wang , Hui-Li Zhang , Peng Zhao , Fu-Hong Xie , Dian-Ming Hu , Wei-Jun Duan , Lei Cai
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引用次数: 0

Abstract

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.

Abstract Image

表征来自不同大陆的大麦种子核心微生物群,用于产地追踪和检疫病原体评估
种子是重要的微生物载体,与种子相关的病原体可通过贸易传入一个国家,造成农业产量和质量损失。本研究的目的是描述与大麦种子相关的微生物群落的特征,并在此基础上开发追溯其地理来源的技术方法,检查和识别检疫病原体。我们的分析确定了大麦种子的核心微生物群,并揭示了大麦种子相关微生物群落在各大洲之间的显著差异,这表明大麦种子微生物群具有很强的地理特异性。通过采用机器学习模型,我们追溯大麦种子来源的准确率达到了 95% 以上。此外,对共生和排他模式的分析为确定候选生物控制剂或微生物接种剂提供了重要见解,这些生物控制剂或微生物接种剂可能有助于提高大麦的产量和质量。开发了一个核心病原体数据库,并建立了一个检查与大麦种子相关的潜在检疫物种的程序。事实证明,这些方法首次在中国港口有效地检测到了四种真菌和三种细菌检疫物种。这项研究不仅描述了大麦种子核心微生物区系的特征,还为追溯大麦的区域来源和识别潜在检疫病原体提供了实用方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Food microbiology
Food microbiology 工程技术-生物工程与应用微生物
CiteScore
11.30
自引率
3.80%
发文量
179
审稿时长
44 days
期刊介绍: Food Microbiology publishes original research articles, short communications, review papers, letters, news items and book reviews dealing with all aspects of the microbiology of foods. The editors aim to publish manuscripts of the highest quality which are both relevant and applicable to the broad field covered by the journal. Studies must be novel, have a clear connection to food microbiology, and be of general interest to the international community of food microbiologists. The editors make every effort to ensure rapid and fair reviews, resulting in timely publication of accepted manuscripts.
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