Journal of Agricultural Big Data >
Research on Relevance Applications of Agro-microbial Data and Resource Utilization
Received date: 2020-11-26
Online published: 2021-03-11
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.
Jingang Gu, Rui Ma, Shigui Li, Xiaotong Ma, Ruizhen Liang . Research on Relevance Applications of Agro-microbial Data and Resource Utilization[J]. Journal of Agricultural Big Data, 2020 , 2(4) : 38 -46 . DOI: 10.19788/j.issn.2096-6369.200405
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