Soybean-SCN Battle: Novel Insight into Soybean's Defense Strategies against .

Soybean cyst nematode (SCN, , Ichinohe) poses a significant threat to global soybean production, necessitating a comprehensive understanding of soybean plants' response to SCN to ensure effective management practices. In this study, we conducted dual RNA-seq analysis on SCN-resistant Plant Introduction (PI) 437654, 548402, and 88788 as well as a susceptible line (Lee 74) under exposure to SCN HG type 1.2.

Quantitative trait loci and gene-specific markers associated with resistance to soybean cyst nematode HG type 2.5.7.

Unlabelled: Soybean cyst nematode (SCN) is one of the most damaging soybean () pests worldwide. More than 95% of SCN-resistant commercial cultivars in North America are derived from a single source of resistance named PI 88788, and the widespread use of this source in the past three decades has led to the selection of virulent biotypes of SCN, such as HG () type 2.5.

Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components.

A genome-wide association study (GWAS) is currently one of the most recommended approaches for discovering marker-trait associations (MTAs) for complex traits in plant species. Insufficient statistical power is a limiting factor, especially in narrow genetic basis species, that conventional GWAS methods are suffering from. Using sophisticated mathematical methods such as machine learning (ML) algorithms may address this issue and advance the implication of this valuable genetic method in applied plant-breeding programs.

Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods.

In conjunction with big data analysis methods, plant omics technologies have provided scientists with cost-effective and promising tools for discovering genetic architectures of complex agronomic traits using large breeding populations. In recent years, there has been significant progress in plant phenomics and genomics approaches for generating reliable large datasets. However, selecting an appropriate data integration and analysis method to improve the efficiency of phenome-phenome and phenome-genome association studies is still a bottleneck.

Effects of type I Diacylglycerol O-acyltransferase (DGAT1) genes on soybean (Glycine max L.) seed composition.

Type I Diacylglycerol acyltransferase (DGAT1) catalyzes the final step of the biosynthesis process of triacylglycerol (TAG), the major storage lipids in plant seeds, through the esterification of diacylglycerol (DAG). To characterize the function of DGAT1 genes on the accumulation of oil and other seed composition traits in soybean, transgenic lines were generated via trans-acting siRNA technology, in which three DGAT1 genes (Glyma.13G106100, Glyma.

Genomic regions associated with important seed quality traits in food-grade soybeans.

Background: The production of soy-based food products requires specific physical and chemical characteristics of the soybean seed. Identification of quantitative trait loci (QTL) associated with value-added traits, such as seed weight, seed protein and sucrose concentration, could accelerate the development of competitive high-protein soybean cultivars for the food-grade market through marker-assisted selection (MAS). The objectives of this study were to identify and validate QTL associated with these value-added traits in two high-protein recombinant inbred line (RIL) populations.

Anti-cancer activity of pegylated liposomal trans-anethole on breast cancer cell lines MCF-7 and T47D.

Objective: To examine the role of liposomes for the encapsulation of drugs and their suitability for chemotherapy of breast cancer.

Results: Pegylated liposomal trans-anethole nanoparticles were synthesized through a reverse-phase evaporation technique. Nanoparticles were characterized in terms of mean diameter, size distribution, zeta potential, encapsulation and drug loading efficiency, drug release pattern and cytotoxicity effects.

Effects of nanoliposomal and pegylated nanoliposomal artemisinin in treatment of breast cancer.

This study is aimed to investigate the nanoliposomal artemisinin preparation, and its implementation on breast cancer cells. Side effects have been one of the common challenges of drug usage, as well as cancer treatment. In order to reduce such effects, nanotechnology has been a great help.

Investigation of the effects of curcumin on serum cytokines in obese individuals: a randomized controlled trial.

Background: Obesity is a disorder often accompanied by a heightened state of systemic inflammation and immunoactivation. The present randomized crossover trial aimed to investigate the efficacy of curcumin, a bioactive polyphenol with established anti-inflammatory and immunomodulatory effects, on the serum levels of a panel of cytokines and mediators in obese individuals.

Methods: Thirty obese individuals were randomized to receive curcumin at a daily dose of 1 g or a matched placebo for 4 weeks.

Identification and cloning of putative water clarification genes of Moringa peregrina (Forssk.) Fiori in E. coli Xl1 blue cells.

Background: Water purification processes include the use of chemical compounds despite the concern that they may induce diseases. An ecological solution to this dilemma can come from the use of plant seeds for this purpose. Moringa peregrina (Forssk.

A comparative proteome approach to decipher the mechanism of rice adaptation to phosphorous deficiency.

Mineral deficiency limits crop production in most soils and in Asia alone, about 50% of rice lands are phosphorous deficient. In an attempt to determine the mechanism of rice adaptation to phosphorous deficiency, changes in proteome patterns associated with phosphorous deficiency have been investigated. We analyzed the parental line Nipponbare in comparison to its near isogenic line (NIL6-4) carrying a major phosphorous uptake QTL (Pup1) on chromosome 12.