Tao'tao Wang,Jiangxi Institute of Technology, China

BIO: 

Professor Wang Taotao, born in Yidu, Hubei Province, is a doctoral supervisor who mainly conducts research in the fields of big data technology and educational management. He serves as the Executive Director of the Jiangxi Computer Society and the Director of the China Simulation Society. He has led or participated in over 20 scientific research projects at various levels, including those funded by the Jiangxi Natural Science Foundation. He has published more than 10 papers in core journals or higher-level publications and has received three Jiangxi Provincial Teaching Achievement Awards. He currently serves as a Member of the Party Committee and Vice President of Jiangxi Institute of Technology.

Title: A Multimodal Data Mining-Based Investigation into the Application Potential of Bacillus Species

Abstract: Traditional approaches to evaluating the application potential of microbial resources in agriculture rely heavily on large-scale experimental testing, which are often inefficient and lack precision. Bacillus species, as core microbial germplasm resources for biopesticides, biofertilizers, and feed additives, urgently require accurate evaluation methods for their efficient development. This study focuses on Bacillus and addresses the challenge of assessing its application potential through a closed-loop framework of “multi-omics data mining – knowledge graph construction – potential prediction – experimental validation.” By doing so, it provides a paradigm for the precise development of agricultural microbial resources.

Moving beyond the limitations of traditional experiment-driven approaches, this study integrates multimodal data (genomic and literature-based) to construct a predictive system for evaluating the application potential of Bacillus strains, significantly improving the efficiency of high-value germplasm screening. The established research framework of “data mining – model construction – experimental validation” offers a generalizable methodology for the precise evaluation of agricultural microbial resources, thereby facilitating the innovation and development of green agricultural products such as microbial pesticides and fertilizers.