17 results about "Disease susceptibility" patented technology

The application belongs to molecular breeding technology, and particularly relates to a KASP-SNP molecular marker for identifying or screening tobacco bacterial wilt resistant material and application thereof, the site is located at the physical position 10274040 of the fifth chromosome of tobacco 300 in the tobacco genome, and the allele is A / G; the genotype of the to-be-tested material at the site is detected through KASP typing detection, the G / G genotype is linked with disease resistance, the A / A genotype is linked with disease susceptibility, and the A / G is hybrid; the primer method provided by the application is applied to tobacco bacterial wilt resistant breeding material screening, and has the advantages of simple and easy operation, strong specificity, high efficiency and the like, and has an important application prospect.

The invention belongs to the technical field of molecular markers for boron poison resistance of citrus varieties, and relates to a molecular marker for identifying boron poison resistance of citrus, a primer and application of the molecular marker, the nucleotide sequence of the molecular marker is shown as SEQ ID No.5, if a citrus genome contains a DNA fragment, the citrus is a boron poison resistance citrus variety or a candidate is a boron poison resistance citrus variety; the nucleotide sequence of the PCR detection primer for identifying the boron poisoning resistance of the citrus is as shown in SEQ ID No.6-7; the PCR detection primer is used for identifying the boron poison resistance of the citrus, if a PCR product containing 442 bp can be specifically amplified, the citrus variety is diagnosed as a boron poison resistant citrus variety, and if only a PCR product containing 231 bp is specifically amplified, the citrus variety is a boron poison sensitive variety. By utilizing the developed molecular marker, resistance and susceptible allelic mutation of the 3-KAT promoter can be distinguished at high throughput and low cost, marker-assisted selection in boron poison resistance breeding is facilitated, and a 3-KAT resistant material can be accurately and efficiently utilized to breed a citrus boron poison resistance variety.

The invention belongs to the field of plant genetic engineering and crop disease-resistant breeding, and discloses a cotton WRKY transcription factor gene GhWRKY21 and application thereof in regulation of fusarium wilt resistance of cotton. The nucleotide sequence of the gene is shown as SEQ ID NO: 1, and the amino acid sequence of the encoded protein is SEQ ID NO: 2. Researches prove that the GhWRKY21 is a negative regulation factor of cotton fusarium wilt resistance, and the resistance of cotton to fusarium wilt caused by fusarium oxysporum (fusarium wilt specialized type) can be remarkably improved by inhibiting the expression of the GhWRKY21 through technologies such as VIGS, RNAi or gene editing. The GhWRKY21 can be rapidly induced by defense signal molecules such as SA, JA and ABA, the molecular mechanism for regulating and controlling the disease resistance of the GhWRKY21 is related to reactive oxygen (H2O2) metabolic balance, and the over-expression of the gene can cause excessive accumulation of H2O2 after pathogenic bacteria infection, cause oxidative damage and enhance the susceptibility of plants. In addition, the invention also provides a related disease-resistant construct, a transgenic plant and a molecular marker screening method of a cotton fusarium wilt resistant material based on the GhWRKY21 expression level, and provides a key target gene for cotton disease-resistant molecular breeding.

The present disclosure relates to the identification of single nucleotide polymorphisms (SNPs) in the Gamma genomic block in the central region of the major histocompatibility complex (MHC) that can be used for matching transplant donors and recipients and determining disease susceptibility.

The application discloses rice NB-ARC protein OsRPM-L1 and application thereof in disease-resistant breeding, and belongs to the technical field of genetic engineering. The application screens rice NB-ARC protein OsRPM-L1 and its coding gene OsRPM-L1, and the amino acid sequence of the rice NB-ARC protein OsRPM-L1 is shown in SEQ ID NO. 2. The application constructs a knockout plant and an overexpression plant of the OsRPM-L1 gene by taking Kittake rice as a background. The inoculation experiment proves that the disease susceptibility of the knockout plant of the OsRPM-L1 gene has no significant change, and the overexpression plant of the OsRPM-L1 gene is more resistant to diseases than the background plant; and it is indicated that the rice protein OsRPM-L1 positively regulates the disease resistance of plants, the coding gene OsRPM-L1 of the rice protein OsRPM-L1 can be used as a target gene for molecular breeding for improving the disease resistance of plants, has a wide application prospect, and has important significance for cultivating rice varieties with improved disease resistance.

The present disclosure relates to the identification of single nucleotide polymorphisms (SNPs) in the Gamma genomic block in the central region of the major histocompatibility complex (MHC) that can be used for matching transplant donors and recipients and determining disease susceptibility.

The invention discloses a freezing and thawing disease susceptibility assessment method for a highway tunnel in a cold region. The method comprises the following steps: step 1, acquiring environmental element data; step 2, determining scale scores of the environmental elements; step 3, determining the weight wa-wn of each environment element based on an improved entropy weight method; 4, constructing an evaluation model: G = A * (wa * a + wb * b + wc * c + wd * d + wee * e + wf * f + wg * g + wh * h) + B * i + C * (wj * j + wk * k + wl * l + wm * m + wn * n); and 5, importing the freeze-thaw disease susceptibility index G into SPSS for Q-type clustering analysis, classifying evaluation results based on an inter-group connection method, and correcting a threshold value of a classification boundary in combination with spatial distribution characteristics of a natural environment in a research area so as to determine a freeze-thaw disease susceptibility grade of the tunnel in the cold region. And drawing a tunnel freeze-thaw disease susceptibility grade map in the research area. According to the method, the occurrence probability and degree of highway tunnel freezing injury in the whole research area can be predicted.

The application belongs to the technical field of plant genetic engineering, and particularly relates to a wheat magnesium transporter TaNIPA8-6B and application of an encoding gene thereof in regulating plant resistance to stripe rust. The application analyzes the function of the wheat magnesium transporter TaNIPA8-6B through gene editing and overexpression, finds that the wheat magnesium transporter TaNIPA8-6B is induced to express in the reaction of wheat and stripe rust in compatible and incompatible systems, and creates gene editing and overexpression TaNIPA8-6B mutant plants of the gene, and identifies that the gene knockout mutant of the gene shows a disease susceptibility to the incompatible race CYR23 of stripe rust, and the overexpression mutant plant shows a disease resistance to the compatible race CYR32 of stripe rust, and determines that TaNIPA8-6B the gene plays a positive regulation role in the disease resistance of wheat to stripe rust, and provides a high-quality germplasm resource for the resistance of wheat to stripe rust.

The present invention relates to an artificial intelligence–driven platform designed for comprehensive genetic counseling, hereditary cancer risk assessment, and automated pedigree analysis. The invention integrates genomic data, clinical features, and multigenerational family history through advanced data modeling and machine learning algorithms to enable precise, scalable, and evidence-based genetic consultation. Traditional genetic counseling processes are labor-intensive, requiring manual pedigree construction and subjective evaluation of variant pathogenicity and familial inheritance. These limitations result in delayed risk stratification and inconsistent preventive recommendations. The disclosed platform overcomes these shortcomings by introducing an intelligent, interoperable system that automates the acquisition, normalization, and interpretation of heterogeneous genetic and clinical data to deliver real-time, individualized counseling outcomes. The system comprises five primary modules: (1) a data acquisition module, (2) a data processing and inference engine, (3) a pedigree generation and visualization unit, (4) a counseling and recommendation module, and (5) a secure cloud-based user interface. The data acquisition module receives and harmonizes multi-source inputs including genomic sequencing results, variant annotation files (such as VCF or BAM formats), patient demographics, electronic health records (EHRs), and family medical history collected via structured questionnaires or natural language processing (NLP) of unstructured clinical notes. The processing engine employs supervised and unsupervised machine-learning models trained on large-scale, anonymized datasets of hereditary cancer syndromes, enabling the prediction of gene-level pathogenicity, inheritance mode, and personalized disease susceptibility. The AI model calculates individualized hereditary risk scores, integrating polygenic risk factors and family aggregation metrics. The pedigree generation module automatically constructs interactive multigenerational family trees, highlighting affected members, carriers, and probable inheritance patterns using graph-based inference algorithms. This visualization facilitates intuitive understanding of familial transmission, carrier probability, and consanguinity. The counseling module translates computed risk profiles into actionable, evidence-based recommendations, aligned with international clinical guidelines such as NCCN, ACMG, and ESMO. These outputs include suggestions for confirmatory genetic tests, early screening programs, lifestyle modifications, and targeted preventive interventions. Reports are automatically generated for both clinicians and patients, promoting consistent and reproducible genetic counseling. The user interface operates as a secure, GDPR- and HIPAA- compliant digital platform accessible via web or API integration with hospital information systems. In certain embodiments, the platform supports federated learning across multiple institutions or countries, ensuring model improvement without direct data sharing, thereby preserving patient privacy and data sovereignty. In one embodiment, the system is validated across data cohorts from at least eight countries to ensure cross-population generalizability of its predictive models. The platform's modular design allows integration with additional AI-based oncology tools, digital pathology systems, and precision medicine workflows. Overall, the invention provides a robust and scalable technological infrastructure that transforms genetic counseling from a manual, expert-dependent process into a data-driven, automated, and globally interoperable service. By combining AI-based analytics, dynamic pedigree visualization, and standardized preventive guidance, the invention significantly enhances the accuracy, accessibility, and cost-effectiveness of hereditary cancer risk management.

The invention belongs to the technical field of plant genetic engineering, and particularly relates to application of a wheat MYB48 transcription factor gene in regulation of stripe rust resistance of crops. The wheat MYB48 transcription factor gene is a novel plant transcription factor, responds to infection up-regulation expression of wheat on stripe rust, and has the function of promoting wheat to be infected with stripe rust. After the wheat MYB48 transcription factor gene is knocked out or silenced, the resistance of a wheat plant to stripe rust infection is improved, and it is proved that the MYB48 transcription factor gene plays a role in disease infection in the interaction of wheat and stripe rust. Furthermore, the stripe rust resistance of the wheat can be improved and a stripe rust resistant wheat material can be cultivated by negatively regulating the expression of the MYB48 transcription factor gene of the wheat, and a biological material and a technical support are provided for breeding the stripe rust resistant wheat.

The invention discloses a method for identifying complex disease susceptible protein based on multi-phenotype conjoint analysis, and relates to the technical field of susceptible protein identification. The method comprises the following steps: obtaining multiple phenotypes related to a target complex disease, and searching GWAS summarized statistical data corresponding to the phenotypes; calculating genetic correlation among different phenotypes of the disease, and screening out a remarkably related phenotype combination; carrying out conjoint analysis by utilizing MTAG to obtain a phenotypic specificity correlation estimation value of each SNP (Single Nucleotide Polymorphism); establishing a protein expression model based on SNP, screening an optimal prediction model, integrating the optimal prediction model with the phenotype specificity correlation estimation value, and analyzing the relationship between different proteins and phenotype comprehensive characteristics; inferring a causal relationship between the protein and the disease; according to the method, the interaction among various phenotypes and the common influence of the phenotypes on disease susceptibility are considered, the identification method is optimized, the identification capability is improved, and the accuracy of an identification result is guaranteed.

The application belongs to the technical field of potato breeding, and particularly relates to a molecular marker related to potato PVX virus resistance and application thereof. In the embodiments, specific mutation sites closely related to disease resistance and disease susceptibility are screened in PVX resistance genes Rx1 and Rx2, and PCR molecular markers and KASP molecular markers are developed based on the mutation sites. The markers can be used for detecting the genotype of potato at the specific sites, thereby identifying the resistance of the potato to the PVX virus, and providing an effective auxiliary tool for potato PVX disease resistance breeding.

The present application belongs to the technical field of plant cultivation, and provides a method for promoting the branching of pepper variety S16, which comprises compounding 6-benzylaminopurine (6-BA) and gibberellin (GA3), and performing foliar spraying on pepper seedlings at a development stage of 3-5 true leaves with a specific concentration (6-BA 20 mg / L, GA3 100 mg / L) and an amount (50 mL) at an interval of 7 days for 4 times in succession, so as to construct a chemical regulation scheme. The present application solves the technical problems of traditional physical pinching, such as laboriousness, disease susceptibility, and unstable effect of single hormone treatment, and difficulty in effectively inducing early branching of the variety. The present application analyzes the regulation effect of compounding use of two plant growth regulators on the branching number, provides a theoretical basis for plant type optimization in pepper cultivation, is suitable for seedling raising and cultivation of pepper variety S16, and provides a technical means for realizing plant type management of the variety.

The invention provides a kit and system for predicting immune age or a storage medium, and belongs to the technical field of biological detection. According to the present invention, the 60 specific genes in the peripheral blood initial T cells can be adopted as the biomarkers for immune age prediction for the first time, and the prediction result is high in accuracy, such that the immune function of the body can be evaluated, the health risk and the disease susceptibility of the subject can be predicted, and the personalized intervention guidance can be provided. According to the method, the immune age prediction model based on the initial T cell characteristics is constructed, more accurate and more reliable evaluation on the immune function of the organism is realized, and the method has important significance on health management and has a good application prospect.

The application relates to an endometriosis causal gene screening method and device based on cross-brain region genetic regulation integration analysis, equipment and a medium, and relates to the technical field of biomedical testing. The method constructs a cross-system genetic analysis platform, realizes a reproducible cross-tissue genetic integration analysis framework by integrating brain region eQTL data and large sample GWAS statistical results, and comprises the following steps: identifying a potential pathogenic path and a candidate causal gene of central expression factors by using eQTL data and GWAS data, covering data acquisition, tool variable construction, causal inference modeling, linkage disequilibrium control and functional annotation analysis, realizing cross-system analysis of a genetic regulation mechanism of an endometriosis pathogenic risk, and focusing on exploring a remote action path of brain region homeostatic expression on disease susceptibility.

The invention relates to an SCAR molecular marker for identifying pepper rust resistance and application of the SCAR molecular marker, and belongs to the technical field of molecular markers. The SCAR molecular marker disclosed by the invention is derived from a DNA fragment which is obtained by screening through an AFLP (Amplified Fragment Length Polymorphism) technology and specifically exists in low-resistance or non-resistance zanthoxylum bungeanum. The result of the embodiment verifies that the SCAR molecular marker provided by the invention has the remarkable advantages of high specificity, quick detection, simplicity and convenience in operation, wide application and the like, is only expressed in pepper leaves with low rust resistance or no rust resistance, and is not expressed in pepper leaves with high rust resistance. Through repeated verification, the specificity can reach 100%, and disease-resistant germplasm and disease-susceptible germplasm can be accurately distinguished.

The application provides a peanut anti-rhizoctonia solani NBS-LRR encoding gene AhRRS6 and application, the nucleotide sequence of the gene AhRRS6 is as shown in SEQ ID NO.1 (from the genome of a disease-resistant variety YY92) and SEQ ID NO.2 (from the genome of a disease-susceptible variety XHXL). The gene AhRRS6 (SEQ ID NO.1) heterologous overexpression tobacco significantly improves the resistance of tobacco to rhizoctonia solani. By constructing the overexpression vector of AhRRS6 transgenic n. benthamiana, under the infection of rhizoctonia solani, the gene AhRRS6y from the disease-resistant variety is compared with the gene AhRRS6x from the disease-susceptible variety and non-transgenic plants, and the transgenic plants of the disease-resistant variety show obvious disease resistance, while the alleles of the disease-susceptible variety and the non-transgenic control show disease susceptibility. The application provides a gene resource and theoretical basis for the genetic engineering breeding of plant resistance to rhizoctonia solani.