农用微生物与农业生产关系紧密，作用不可替代，农用微生物资源与数据互为一体，与资源应用的效果和方式密切相关，明确农用微生物资源和数据关联特征，有助于资源挖掘应用和大数据整合分析。

调查国内主要农用微生物资源保藏单位、菌种保藏量与菌种鉴定数量，以及信息化网站建设与共享菌种数量；分析微生物资源生物学数据，包括培养组、基因组学、转录组、代谢组数据等；生态关联型数据，包括微生物多样性、宏基因组、宏转录组、宏代谢组，以及功能监测数据等；以及文献数据关联性字段。

按照功能属性，将农用微生物资源及数据划分为肥效微生物、生防微生物、饲料和动物肠道微生物、能源微生物、农田环境微生物以及食用菌等六个领域；国内40个农用微生物资源单位，收集保藏农用微生物资源51万余株，但菌种鉴定信息、功能评价数据比例偏低，共享网站、数据库建设，以及菌种信息化数量偏少；农用微生物数据多为自生生物学数据和生态型关联型数据，功能型数据较少；微生物资源菌种名称、菌种编号、基因序列号，监测科学数据的样品地点、样品编号等是各类型农用微生物资源和数据关联的关键字段。

农用微生物资源与资源生物学数据是统一的整体，构建集生态型和功能型数据为一体的综合数据库是资源高效利用的必要条件。

Agro-microbial resources play a crucial role in agricultural production. Agro-microbial resources and data are integrated with each other and are closely related to the effects and methods of resource application. Therefore, clarifying the characteristics of agricultural microbial resources and their data associations is helpful for resource mining applications and big data integration.

In this research, the numbers of strains and identification units of key domestic agro-microbial collection centers as well as the public websites and accessible strains are investigated; In addition, the biological data of culturomes, genomes, culture groups, transcriptomes and metabolomes were analyzed, alongside ecology-related data including microbial diversity, megagenomes, megatranscriptomes and megametabolomes. Finally, monitoring data of microbial functions were analyzed and key words to search published literature were listed.

According to functional attributes, the agro-microbial resources and data were divided into the following six functional categories: biofertilizer, biocontrol agent, feed and animal gastrointestinal microbes, energy microbes, farmland microbes and edible fungi. More than 510,000 strains have been collected and conserved by 40 key domestic agro-microbial collection centers; however, there are low proportions of bacteria identification information and function evaluation data, few sharing websites, limited database construction, and low bacteria informationization. Most of the microbial data are confined in biological and ecological fields, and those related to microbial functions account for only a small proportion of these. Key words of agro-microbial resources and data include species name with taxonomy identity, strain registration number, gene accession number, sampling location and sample number of monitoring scientific data.

The findings of this study indicate that agro-microbial resources and biological data are a unified whole. Therefore, we must use them comprehensively to maximize their value. It is necessary to construct a comprehensive database integrating biological, ecological and functional data of agro-microbial resources for highly efficient utilization.