摘要：SummaryThere are plenty publications providing guidance for resistant taxa selection by experimental researches while the number of experimental taxa is often restricted. In this study, we presented a concise method to predict the temperature tolerance of wildLiliumin China based on open access botanical and associated environmental datasets. We divided all taxa into five groups to present an overview ofLilium's adaptability to temperature stress. Furthermore, according to the environmental conditions, the prediction of heat and cold tolerance inLiliumwas made based on the combined multi-sources data at taxon level. Thirteen taxa with potential temperature tolerance were predicted of 42 taxa. The results showed that not only is tolerance prediction created by large-scale data analysis possible, but that it may supplement traditional laboratory researches with a comprehensive list of taxa.Graphical abstractDisplay OmittedHighlights•A concise method predicts the temperature tolerance of wildLiliumin China•This method relies on a combination of online botanical and environmental data sets•Thirteen taxa with potential temperature tolerance were predicted of 42 taxa•Our findings can be used to rapidly screen the potential tolerant taxaPlant bioinformatics; Plant physiology; Plant biogeography
