Genome-Wide Identification and Functional Characterization of Brown Spot Resistance Genes in Rice ( L.).

Rice brown spot (BS) caused by affects both rain-fed and upland rice production, causing both yield and grain quality loss. Here, we used a genome-wide association study (GWAS) to analyze the resistance of 130 rice cultivars to BS disease. We identified two quantitative trait loci on chromosome 4.

Enhances Brown Spot Disease Resistance in Rice.

Brown spot (BS) is caused by necrotrophs fungi () which affects rainfed and upland production in rice, resulting in significant losses in yield and grain quality. Here, we explored the meJA treatment that leads to rice resistance to BS. Fibrillins (FBNs) family are constituents of plastoglobules in chloroplast response to biotic and abiotic stress, many research revealed that and are not only associated with the rice against disease but also with the JA pathway.

Enabling Dual Phosphorescence by Locating a Flexible Ligand in Zn-Based Hybrid Frameworks.

Room-temperature phosphorescence (RTP) materials with recognizable afterglow property have gained widespread attraction. Multicolor RTP has added benefits in multiplexed biological labeling, a zero background ratiometric sensor, a multicolor display, and other fields. However, it is a great challenge to prepare multicolor RTP from a single-component compound according to Kasha's rule.

Genome-Wide Identification and Genetic Variations of the Starch Synthase Gene Family in Rice.

Starch is a major ingredient in rice, and the amylose content of starch significantly impacts rice quality. OsSS (starch synthase) is a gene family related to the synthesis of amylose and amylopectin, and 10 members have been reported. In the present study, a synteny analysis of a novel family member belonging to the OsSSIV subfamily that contained a starch synthase catalytic domain showed that three segmental duplications and multiple duplications were identified in rice and other species.

Genome-Wide Association Study of Root System Development at Seedling Stage in Rice.

Root network structure plays a crucial role in growth and development processes in rice. Longer, more branched root structures help plants to assimilate water and nutrition from soil, support robust plant growth, and improve resilience to stresses such as disease. Understanding the molecular basis of root development through screening of root-related traits in rice germplasms is critical to future rice breeding programs.

Using k-dependence causal forest to mine the most significant dependency relationships among clinical variables for thyroid disease diagnosis.

Numerous data mining models have been proposed to construct computer-aided medical expert systems. Bayesian network classifiers (BNCs) are more distinct and understandable than other models. To graphically describe the dependency relationships among clinical variables for thyroid disease diagnosis and ensure the rationality of the diagnosis results, the proposed k-dependence causal forest (KCF) model generates a series of submodels in the framework of maximum spanning tree (MST) and demonstrates stronger dependence representation.

Liposomes modified with P-aminophenyl-α-D-mannopyranoside: a carrier for targeting cerebral functional regions in mice.

Targeting of intracerebral functional regions has been limited by the inability to transport drugs across the blood-brain barrier (BBB) and by poor accumulation in these regions. To overcome these hurdles, liposomes modified with P-aminophenyl-α-d-mannopyranoside (MAN) were used as a fluorescent dye carrier through the BBB and used the specific distribution of liposomes (LIP) modified with MAN (MAN-LIP) to target various functional regions of the brain. An in vitro BBB model was established to evaluate the transendothelial ability of MAN-LIP, and liposomes uptake by C6 glioma cells was analyzed by flow cytometry and live cell imaging.