Trait-regulated-genes Ontology Model Construction and Application by Integrating Cross-species Scientific Data
[Objective]With the proliferation of breeding data brought by new technologies and the new demand for knowledge services in computational breeding,in order to solve the problem of inefficient cross-species subject knowledge acquisition and difficult discovery of elite pleiotropic genes in crop breeding knowledge service.[Method]We constructed trait-regulated-genes ontology model framework,and defined entity hierarchical structure and entity attributes in ontology model.Taking staple crops rice,corn,wheat and model plant Arabidopsis thalliana as data collection objects,a knowledge graph with trait-regulated-genes ontology model as model layer is constructed and experimented.[Result]Finally,the trait-regulated-genes ontology model covering 13 entities,16 data attributes and 14 object attributes was formed.This model is used as the knowledge graph of ontology layer to realize cross-species subject knowledge association retrieval,mining of elite pleiotropic genes and prediction of gene function across species.[Conclusion]The method of trait-regulated-genes ontology model construction proposed in our study may achieve the correlation discovery of trait regulatory genes across species,improve the efficiency of cross-species subject knowledge acquisition,and support the gene discovery results of multi-dimensional data analysis.This study provides a feasible method path for the mining of pleiotropic genes and gene function prediction,and provides effective data support services for crop breeding scientific research.
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