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Objective: To verify the efficiency and stability of the automated labeling and synthesis of dopamine transporters (DAT) imaging probe, 18F-N-(3-fluoropropyl)-2β-carbomethoxy-3β-(4′-iodophenyl) nortropane (18F-FP-CIT), based on the AllinOne module. Meanwhile, to evaluate the safety and targeted ability of the probe and the imaging effect on the basal ganglia of rats. Methods: A fluorination reaction between nitrogen-[3-(methoxy)propyl]-2β-carbonmethoxy-3β-(4′-iodophenyl) nortropane, the reaction precursor, and the dried fluorine-18 ion (18F) was performed, under the catalysis of TBAOH and Kryptofix 222. The product of the reaction was separated and purified by high performance liquid chromatography (HPLC). All the procedure was established on the AllinOne module under the highest yield conditions to perform automated labeling and synthesis of 18F-FP-CIT. Quality control tests and Micro PET/CT imaging of rat brain with the automatically synthesized product were carried out. Results: The average synthesis time, efficiency after attenuation correction, and radiochemical purity of 20 batches of 18F-FP-CIT made by the AllinOne module was (72.9±8.9) min, 34.8%±5.7%, and 98.4%±2.0%, retrospectively. The results of sterility test, endotoxin test, toxicity test and residual solvent test of acetonitrile were all met the clinical practice standards. Micro PET/CT imaging showed uniform and obvious targeted uptake of 18F-FP-CIT in basal ganglia of normal rats, and the uptake of 18F-FP-CIT in basal ganglia was 2.6 times that in cerebral cortex, 3.7 times that in cerebellum, and 4.1 times that in skull, respectively. Conclusions: The AllinOne module can automatically label and synthesize DAT imaging probe 18F-FP-CIT stably, rapidly, with high-quality, which is expected to provide imaging technical support for the clinical diagnosis and treatment of neurodegenerative changes such as Parkinson′s disease (PD).

Shade has a direct impact on photosynthesis and production of plants. Exposure to shade significantly reduces crops yields. Identifying shade-tolerant genomic loci and soybean varieties is crucial for improving soybean yields. In this study, we applied a shade treatment (30% light reduction) to a natural soybean population consisting of 264 accessions, and measured several traits, including the first pod height, plant height, pod number per plant, grain weight per plant, branch number, and main stem node number. Additionally, we performed GWAS on these six traits with and without shade treatment, as well as on the shade tolerance coefficients (STCs) of the six traits. As a result, we identified five shade-tolerance varieties, 733 SNPs and four candidate genes over two years. Furthermore, we developed four kompetitive allele-specific PCR (KASP) makers for the STC of S18_1766721, S09_48870909, S19_49517336, S18_3429732. This study provides valuable genetic resources for breeding soybean shade tolerance and offers new insights into the theoretical research on soybean shade tolerance. [ABSTRACT FROM AUTHOR]

The colorations of stem pubescence and hilum are crucial criteria for discerning diverse soybean germplasms, governed by multiple genes that substantially influence the seed's outward appearance quality and the resistance to abiotic stresses. This comprehensive study delved into the stem pubescence and hilum color traits across a natural population of 264 accessions during 2021 and 2022. The phenotypes of these two traits within our population were analyzed for the investigation of population genetics and evaluation of germplasm resources in the future. Numerous noteworthy SNPs associated with both traits were detected through a genome-wide association study (GWAS), with the most significant signals for 2021 and 2022 localized on chromosome 6. Seven candidate genes regulating stem pubescence color and four genes influencing hilum color were identified by analyzing the expression patterns, cold stress responses, and regulatory pathways of genes within the LD decay distance of SNPs. This study not only underscores the applicability of GWAS in unraveling the genetic basis of quality traits, but also contributes novel genetic reservoirs and research paradigms to the explorations of the soybean plant and seed color. These results provide foundational insights into the breeding improvement of seeds' outward appearance quality and a comprehensive evaluation of soybean germplasm. [ABSTRACT FROM AUTHOR]