Powdery mildew is a common and important fungal disease that influences strawberry (Fragaria × ananassa Duchesne ex Rozier) production. Understanding the interaction between crops and pathogens is essential for managing powdery mildew. In this study, transcriptomic and metabolomic methods were used to analyze the differential genes and metabolites and their correlation to the powdery mildew infection. A total of 22,124 genes were obtained, and the differentially expressed genes (DEGs) at three different developmental stages were determined. Genes involved in plant–pathogen interactions, carbon metabolism, and photosynthesis were upregulated in powdery mildew infected plants. In addition, 162 compounds were detected in ripe strawberry fruits, and the differential metabolites were mainly amino acids (two types), phenols (three types), flavonoids (six types), carbohydrates (three types), and acids (five types). The order–reduction analysis of these substances revealed that the most influential factor was quercetin, which was downregulated in the infected groups. The results provide a reference for developing disease‐resistant strawberry plants.

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This study selected the medical record data of patients who underwent ultrasound examination and surgical treatment at Shaw Hospital, affiliated with Zhejiang University Medical College, from January 2018 to June 2020 and screened nine high-risk patients with thyroid papillary carcinoma and eight low-risk patients who met the enrollment criteria. The pathological and ultrasonic imaging data of the thyroid nodules and cervical lymph nodes of the enrolled patients were retrospectively analyzed. Clinicopathological aspects: age, number of lesions, lymph node area, and number of lymph nodes were significant. The younger the age, the higher the risk of cancer metastasis; the more the lymph node metastasis areas, the greater the number of lesions, and the higher the risk of cancer metastasis. An ultrasound image analysis of thyroid nodules showed that the number of microcalcifications and lesions was significantly and positively correlated with the risk of cancer metastasis. Ultrasonic image analysis of cervical lymph nodes showed that the indicators of cystic change, the number of calcifications, number of lymph node fusions, and number of clear lymph node boundaries were significantly and positively correlated with the risk of cancer metastasis. This study is crucial in the clinical diagnosis of thyroid papillary carcinoma metastasis and provides a theoretical basis for surgeons to formulate diagnosis and treatment plans for thyroid carcinoma.