RESUMEN
The Jasminum sambac flower is famous for its rich fragrance. However, our knowledge of the regulatory network for its aroma formation remains largely unknown and therefore needs further study. To this end, an integrated analysis of the volatilomics and transcriptomics of jasmine flowers at different flowering stages was performed. The results revealed many candidate transcription factors (TFs) may be involved in regulating the aroma formation of jasmine, among which the MYB-related TF LATE ELONGATED HYPOCOTYL (JsLHY) was identified as a hub gene. Using the DNA affinity purification sequencing method, dual-luciferase reporter, and yeast one-hybrid assays, we demonstrate that JsLHY can bind the gene promoter regions of six aroma-related structural genes (JsBEAT1, JsTPS34, JsCNL6, JsBPBT, JsAAAT5, and Js4CL7) and directly promote their expression. In addition, suppressing JsLHY expression decreased both the expression of JsLHY-bound genes and the content of related VOCs. The present study reveals how JsLHY participates in jasmine aroma formation.
RESUMEN
China has been subject to rapid urban expansion and afforestation since the economic reform in 1978. However, the influence of land use and cover changes (LUCCs) and human activities on landslide occurrence is often ignored in landslide susceptibility mapping and zonation (LSMZ). In this study, Enshi City, China, was selected as the study area because of dramatic LUCCs during the last two decades. This study divided landslide affecting factors (AFs) into base affecting factors (BAFs) and land-related affecting factors (LAFs), and 15 landslide susceptibility maps were created by three different types of models. The results showed that the combination 6 of heuristic multi-layer perceptron model with LAFs (HMLP-LAFC6) model obtained the highest model performance. In addition, any factor combinations of HMLP-LAF model outperformed other two types of models, and the use of land use and cover (LULC) in different periods as well as LUCCs may significantly impact the model performance. Given that land policy adjustments are normally core drivers of LUCC in China, a land planning based LSMZ framework was proposed, which is suitable for LSMZ in rapid LUCC regions with radical land policies. Finally, this paper strongly suggests developing more hybrid models that coupling dynamic AFs, clarifying the quantitative boundaries of time-irrelevant and dynamic AFs, increasing the accuracy of LULC prediction, and improving the abilities of bilateral understanding for effective, integrated, and systematic management of land planning and landslide hazards.
