Pine wilt disease (PWD) caused by pine wood nematode (PWN, Bursaphelenchus xylophilus) originated in North America and has since spread to Asia and Europe. PWN is currently a quarantine object in 52 countries. In recent years, pine wilt disease has caused considerable economic losses to the pine forest production industry in China, as it is difficult to control. Thus, one of the key strategies for controlling pine wilt disease is to identify epidemic points as early as possible. The use of hyperspectral cameras mounted on drones is expected to enable PWD monitoring over large areas of forest, and hyperspectral images can reflect different stages of PWD. The trend of applying hyperspectral techniques to the monitoring of pine wilt disease is analyzed, and the corresponding strategies to address the existing technical problems are proposed, such as data collection of early warning stages, needs of using unmanned aerial vehicles (UAVs), and establishment of models after preprocessing.

Endophytic Pseudomonas species from agricultural crops have been extensively studied for their plant-growth-promoting (PGP) potential, but little is known about their PGP potential when isolated from perennial trees. This study investigated the plant-growth-promoting (PGP) potential of an endophyte, Pseudomonas oryzihabitans GDW1, isolated from a healthy pine tree by taking tomato as a host plant. We employed multiomics approaches (transcriptome and bacteriome analyses) to elucidate the underlying PGP mechanisms of GDW1. The results of greenhouse experiments revealed that the application of GDW1 significantly improved tomato plant growth, increasing shoot length, root length, fresh weight, and biomass accumulation by up to 44%, 38%, 54%, and 59%, respectively, compared with control. Transcriptomic analysis revealed 1158 differentially expressed genes significantly enriched in the plant hormone signaling (auxin, gibberellin, and cytokinin) and stress response (plant–pathogen interaction, MAPK signaling pathway-plant, and phenylpropanoid biosynthesis) pathways. Protein–protein interaction network analysis revealed nine hub genes (MAPK10, ARF19-1, SlCKX1, GA2ox2, PAL5, SlWRKY37, GH3.6, XTH3, and NML1) related to stress tolerance, hormone control, and plant defense. Analysis of the tomato root bacteriome through 16S rRNA gene amplicon sequencing revealed that GDW1 inoculation dramatically altered the root bacterial community structure, enhancing the diversity and abundance of beneficial taxa (Proteobacteria and Bacteroidota). Co-occurrence network analysis showed a complex bacterial network in treated plants, suggesting increasingly intricate microbial relationships and improved nutrient absorption. Additionally, FAPROTAX and PICRUSt2 functional prediction analyses suggested the role of GDW1 in nitrogen cycling, organic matter degradation, plant growth promotion, and stress resistance. In conclusion, this study provides novel insights into the symbiotic relationship between P. oryzihabitans GDW1 and tomato plants, highlighting its potential as a biofertilizer for sustainable agriculture and a means of reducing the reliance on agrochemicals.