Ultrasonic treatment alleviated cadmium stress in sugarcane via improving antioxidant activity and physiological and biochemical status.

Cadmium (Cd) is a toxic element that endangers crop growth and affects food safety and human health. Therefore, the study of Cd mitigation technology is important. Ultrasonic treatment can improve crop growth and enhance their ability to resist various abiotic stresses. In this study, the effect of ultrasonic treatment on alleviating sugarcane Cd stress was studied in a barrel experiment using sugarcane varieties 'ROC22' and 'LC05-136' as test materials. Sugarcane buds without ultrasonic treatment and with ultrasonic treatment (20-40 kHz mixed frequency ultrasound for 2 min, dry treatment) were planted in soil with Cd contents of 0, 50, 100, 250, and 500 mg·kg-1. Compared with non-ultrasonic treatment, Ultrasonic treatment significantly increased the activities of antioxidant enzymes in sugarcane, significantly increased the content of osmoregulation substances, significantly reduced the content of superoxide anion (the highest decreases reached 11.55%) and malondialdehyde (the highest decreases reached 20.59%), and significantly increased the expression level of metallothionein (MT)-related genes, with the expression of ScMT1 increased by 8.80-37.49% and the expression of ScMT2-1-5 increased by 1.55-69.33%. In addition, ultrasonic treatment significantly reduced the Cd contents in sugarcane roots, stems, leaves, bagasse, and juice (the highest reduction in Cd content was 49.18%). In general, ultrasonic treatment regulated the metabolism of reactive oxygen species and MT-related gene expression in sugarcane, increased the Cd tolerance of sugarcane, promoted photosynthesis in sugarcane leaves, improved root morphology, enhanced sugarcane growth, and increased cane and sugar yield.

Whole Genome Sequencing and Morphological Trait-Based Evaluation of UPOV Option 2 for DUS Testing in Rice.

To evaluate the application potential of high-density SNPs in rice distinctness, uniformity, and stability (DUS) testing, we screened 37,929 SNP loci distributed on 12 rice chromosomes based on whole-genome resequencing of 122 rice accessions. These SNP loci were used to analyze the DUS testing of rice varieties based on the correlation between the molecular and phenotypic distances of varieties according to UPOV option 2. The results showed that statistical algorithms and the number of phenotypic traits and SNP loci all affected the correlation between the molecular and phenotypic distances of rice varieties. Relative to the other nine algorithms, the Jaccard similarity algorithm had the highest correlation of 0.6587. Both the number of SNPs and the number of phenotypes had a ceiling effect on the correlation between the molecular and phenotypic distances of varieties, and the ceiling effect of the number of SNP loci was more obvious. To overcome the correlation bottleneck, we used the genome-wide prediction method to predict 30 phenotypic traits and found that the prediction accuracy of some traits, such as the basal sheath anthocyanin color, glume length, and intensity of the green color of the leaf blade, was very low. In combination with group comparison analysis, we found that the key to overcoming the ceiling effect of correlation was to improve the resolution of traits with low predictive values. In addition, we also performed distinctness testing on rice varieties by using the molecular distance and phenotypic distance, and we found that there were large differences between the two methods, indicating that UPOV option 2 alone cannot replace the traditional phenotypic DUS testing. However, genotype and phenotype analysis together can increase the efficiency of DUS testing.