Essential macronutrient nitrogen (N) is crucial for plant growth and yield, but excessive chemical N fertilizer not only increases unnecessary production costs but also causes environmental pollution. Therefore, reducing N fertilizer use by increasing organic fertilizer use is crucial for sustainable agriculture. In this study, we investigated the effects of three nitrogen levels—the recommended rate (N), a 20.0% reduced rate (0.8N), and a 40.0% reduced rate (0.6N)—and two levels of organic fertilizer—a normal dose (M) and a four-times the normal dose (4M)—combined with root application of the beneficial element silicon (Si) on the photosynthetic characteristics, yield, and fruit quality of the tomato cultivar ‘Tianxi No. 5’. Compared with M + N treatment, the longitudinal diameter, transverse diameter, fruit weight, and fruit yield of tomato fruit in 4M + 0.6N treatment significantly increased by 12.4%, 14.6%, 14.5%, and 12.8%, respectively, while the yield was further improved with Si application. In addition, a reduction in N fertilizer and an increase in organic fertilizer, combined with Si application, improved fruit quality parameters such as concentrations of vitamin C, lycopene, phenols, flavonoids, sucrose, fructose, etc., and promoted sugar metabolism-related enzyme activity (sucrose synthase, invertase, and sucrose phosphate synthase) and the accumulation of N in the fruit. The principal component analysis and three-factor analysis of variance (ANOVA) of the fruit quality and yield indices showed that nitrogen fertilizer, organic fertilizer, silicon fertilizer, and the interaction of the three had significant effects on the quality and yield of tomato fruits, and that the 4M + 0.6N + Si treatment had the best combined effect on the yield and quality of the tomatoes. Thus, a moderate reduction in chemical N fertilizer, combined with increased organic fertilizer and Si, could be an effective agronomic practice for improving the yield and quality of tomatoes.

A green fluorescent protein (GFP)-tagged isolate of Verticillium dahliae was used to study its colonization in potato plants and tubers. Three-week-old potato plants of the highly susceptible cultivar ‘Shepody’ were inoculated with a conidial suspension of a GFP-tagged isolate of V. dahliae using a wound inoculation method. Colonization was studied using confocal microscopy combined with tissue sections. Conidia germinated and hyphae grew along the root hairs, elongation zones, and root caps between 24 and 96 h postinoculation (HPI). At 7 days postinoculation (DPI), the pathogen advanced to cortical tissues and grew into the root vascular bundles. At 8 weeks postinoculation (WPI), the stem epidermal cells, cortical tissues, vascular elements, and petioles were fully colonized by the mycelium of V. dahliae. At 11 WPI, the pathogen was detected in the stolon and progeny tubers, as confirmed by both GFP signals in tissues and reisolation of the pathogen on the semiselective NP-10 medium. Progeny potato tubers were harvested from the inoculated potato plants, and the GFP-signal was observed in the epidermal cells and vascular elements of sprouting buds that emerged from the harvested tubers. The infection rate of progeny tubers detected on semiselective NP-10 medium ranged from 34.55 to 55.56%, with an average of 45.31%. In conclusion, we report, for the first time, the entire progression of colonization by V. dahliae in potato plant tissues, progeny tubers, as well as of the sprouting buds that emerged from progeny tubers.

Chinese cabbage [Brassica rapa L. subsp. pekinensis (Lour.) Hanelt] has been grown commercially for many decades in Huade County, Inner Mongolia. In 2018 and 2019, an unusual stem and leaf wilt dis...

In this study, whole-genome resequencing was performed on the cold-tolerant variety ND-6 and the cold-sensitive variety ‘Sorbonne’. After evaluation, the Lilium davidii var. unicolor reference genome was selected to analyze SSR distribution characteristics. Whole-genome InDel identification and comparative analysis were conducted for the two varieties, yielding 34,812,909 and 24,497,857 InDels, respectively. Short InDels were predominant, with deletions slightly outnumbering insertions, mostly located in intergenic regions. Twenty pairs of SSR primers were screened and synthesized. Among them, 10 pairs amplified clearly, with a polymorphism rate of 82.6%, effectively distinguishing the two cultivars examined in this study. This study provides systematic data and a reliable marker resource for the analysis of lily genomic variation, laying a foundation for the identification of cold-tolerant germplasm; validation across additional cultivars and individuals will be required to extend their utility to broader germplasm.

In systems biology, gene regulatory networks can well reveal complex biological systems and dynamic biological processes. Traditional gene regulatory network reconstruction methods ignore dynamic biological processes. A gene regulatory network reconstruction method based on transfer entropy and single-cell dynamic time series data is proposed to solve this problem. And from a theoretical point of view, the possibility and rationality of transfer entropy in the application of big data and causal reasoning are proved in detail. Firstly, the method construct pseudo-time series dynamic gene expression data based on trajectory inference. Secondly, The transfer entropy is used to calculate the directional transfer information between paired genes, and screen the major gene regulatory relationships . Finally, remove the indirect gene regulation relationship according to the data processing inequality, and construct the gene regulation network . This method takes the single cell sequencing data of early mouse embryo blood development as an example, and selects TENET and DynGENIE3 algorithms as comparisons, which proves the feasibility and effectiveness of this method from the theoretical and experimental perspectives. The experimental results not only identify the key cell development regulatory factors and regulatory relationships, but also consume less time. It can not only provide important reference value and assumptions for biological disturbance experiment, but also reduce the time cost and research cost of biological experiment.