39 results about "Individual gene" patented technology

The present application relates to a kind of Scylla paramamosain gender-specific genomic sequences and genetic gender identification method, the gender-specific genomic sequence is as SEQ NO.1 and as SEQ NO.2 shown in sequence;Wherein, genetic gender is female individual genome simultaneously containing SEQ NO.1 and SEQ NO.2 sequence, genetic gender is male individual genome only containing SEQ NO.2 sequence.Simultaneously, the present application also uses the gender-specific sequence to develop the genetic gender identification method based on PCR technology.The present application can be used for the identification of Scylla paramamosain gender-specific large fragment and genetic gender rapid detection, with the advantages of strong specificity, high accuracy, simple operation, low cost etc., can be used for crab sex control breeding industry and gender determination and differentiation mechanism research etc., with wide application prospect.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to a local chicken body type character, the SNP molecular marker is located on a chicken chromosome 4, the number of the SNP molecular marker is Chr475876885, and the genome version is GRCg6a; the nucleotide sequence of the SNP molecular marker is shown as SEQ ID NO.1, the SNP molecular marker is located at the 401bp of the nucleotide sequence of the SEQ ID NO.1 and has C / T polymorphism, and the genotype of the site of the polymorphism is that TT corresponds to a large-size individual, and the genotype of CC corresponds to a small-size individual. According to the SNP molecular marker related to the body type character of the local chicken, individuals are directly bred on the genome level, phenotypic information is not depended on, the selection efficiency can be remarkably improved for characters which are low in heritability and difficult to measure, and the breeding process can be accelerated.

The application discloses a soybean plant height related InDel molecular marker and application thereof, relates to the technical field of biological molecule detection.The nucleotide sequence of the InDel molecular marker is shown as SEQ ID NO.4 or SEQ ID NO.5.The InDel molecular marker developed by the application can realize efficient, accurate and early identification of soybean plant height.The InDel molecular marker has stable polymorphism, high amplification efficiency of the matching specific primer, clear bands, good repeatability and clear typing.It is verified that the length difference of the amplification product is significantly related to the plant height phenotype, high-stalk and dwarf individuals can be accurately distinguished, and the genotype detection result is highly consistent with the field phenotype.The application provides a stable and reliable molecular tool for genetic improvement of soybean plant height and rapid cultivation of high-yield and lodging-resistant materials.

The invention discloses an environmental catalyst formula screening method and system optimized by using a genetic algorithm. The method comprises the following steps: S1, taking a component proportion, an active component type, a carrier type and an additive type of an environmental catalyst as individual gene codes; s2, setting an initial population, wherein the initial population is composed of a plurality of randomly generated environmental catalyst formulas; s3, evaluating the fitness of each individual in the population by adopting an evaluation function; s4, selectively retaining individuals with excellent performance according to a fitness result; s5, performing crossover operation on the selected individuals, simulating gene recombination in the genetic process, and randomly selecting two individuals as male parents in the crossover process; and S6, performing mutation operation on the crossed offspring, and selecting the individual with the highest fitness from the final population as the optimal environment catalyst formula. The method has the advantages of interdisciplinary technology fusion, intelligent optimization screening process, high efficiency, low cost and wide application potential.

The present invention belongs to the field of bioinformatics, and in particular relates to a method for generating individual genome simulation data based on graph compression. The purpose of the present invention is to solve the problem of low accuracy of existing individual genome simulation data when used to predict the efficacy of drugs on different individuals. A method for generating individual genome simulation data based on graph compression is provided, comprising: S1: obtaining a historical genome dataset; S2: preprocessing the graph genome data in the historical genome dataset to obtain preprocessed graph genome data; S3: calculating the connectivity of the nodes in the preprocessed graph genome data, and performing forward compression processing on the preprocessed graph genome data according to the connectivity of the nodes to obtain forward compressed graph genome data; S4: generating individual genome simulation data based on the forward compressed graph genome data. This method solves the problem of low accuracy of existing individual genome simulation data when used to predict the efficacy of drugs on different individuals.

The application discloses an optimization method and system for photovoltaic access distribution network, and the method comprises the following steps: based on the photovoltaic construction, a certain number of populations are determined; through Newton-Raphson power flow calculation, the distribution network operation parameters corresponding to each gene individual are obtained; based on the distribution network operation parameters, a multi-objective function and a constraint condition, the gene individuals are screened; the screened gene individuals are iteratively calculated to obtain optimal offspring of each population; the optimal offspring is introduced into an elite population; if a set iteration end criterion is met, an optimal individual gene representative photovoltaic access scheme is obtained; otherwise, the above operation is performed again; based on the distribution network operation parameters and a pre-established multi-objective function and constraint condition, the gene individuals are screened, the defect of immature convergence is overcome, and the global optimization can be achieved in the photovoltaic access optimization process; the screened gene individuals are iteratively calculated to obtain optimal offspring of each population, and the local optimization is performed, so that the balanced global search and local search performance are achieved.

The embodiment of the invention provides a facial feature prediction method and device, equipment, a medium and a product. The method comprises the following steps: obtaining individual gene data, wherein the individual gene data comprises attribute information of M gene points; obtaining a first feature vector set of the individual gene data through a pre-constructed first graph network; the first graph network comprises a plurality of gene points and relationships among the gene points; inputting the first feature vector set of the individual gene data into a preset artificial neural network to obtain a second feature vector set; and inputting the second feature vector set into a trained facial feature prediction model, and after the second feature vector set is processed by the facial feature prediction model, outputting facial coordinate data corresponding to the individual gene data. The method is used for achieving the effect of predicting individual face coordinate data based on individual gene information.

The invention provides a molecular marker and a primer for identifying sex of Nibea dispinosa and application of the molecular marker and the primer, and belongs to fish molecular breeding and sex identification. Whole genome re-sequencing and whole genome association analysis are carried out on male and female individuals of the Nibea dispinosa, male specific DNA fragments are obtained through screening, and corresponding specific primers are designed. The primer is used for carrying out PCR (Polymerase Chain Reaction) amplification on individual genome DNA (Deoxyribose Nucleic Acid), a male individual is amplified to form specific double bands (174bp and 181bp), and a female individual is only amplified to form a single band (174bp), so that the rapid and accurate judgment on the genetic sex of the Nibea dispinosa is realized. The molecular marker and the primer provided by the invention are simple and convenient to operate and small in damage to a fish body, and can be used for early sex identification, sex control breeding and germplasm resource protection of the Nibea dispinosa.

The present invention concerns the field of cancer and methods for early detection of cancerous lesions. Specifically, the invention relates to a method for early detection of cancerous lesions through the analysis of microsatellite instability in the genome of an individual from a liquid biopsy.

The present application belongs to the technical field of molecular biology, and particularly relates to a gender identification molecular marker based on Y chromosome specific deletion of Micropterus salmoides, a primer pair and a gender identification method. The marker disclosed by the present application is a 147 bp deletion sequence (SEQ ID NO. 1) on the Y chromosome of male individuals, and has a complete genetic relationship with gender, wherein the XX genotype corresponds to female individuals, the XY genotype corresponds to male individuals, and the YY genotype corresponds to super-male individuals. Meanwhile, a primer pair for specifically amplifying the marker is provided. When detection is performed, only the genomic DNA of fin tissue of an individual to be detected needs to be extracted, PCR amplification is performed by using the primer pair, and the amplified bands are analyzed by agarose gel electrophoresis. Then, the genotype can be accurately determined according to the number of bands. The method has the remarkable advantages of simple operation, low cost and reliable results.

The invention discloses a global nutrient deep customization platform, and belongs to the field of health management. The platform mainly comprises a user terminal interface module used for collecting multi-dimensional original data of global users, including genes, real-time physiology, diet logs and culture preferences; the global nutrition knowledge base and rule engine module is used for storing and dynamically updating nutrition data and biological effect rules covering different race, regional laws and regulations and diet culture; an analysis engine is deeply customized, multi-objective optimization calculation is carried out on the fused deep health portrait of the user and a global knowledge base through artificial intelligence, and a comprehensive nutrition scheme which cooperatively considers individual genes, real-time states, long-term objectives and regional feasibility is generated; and the global supply chain docking and product customization module is used for converting the scheme into an entity nutrient product conforming to local regulations and completing distribution. According to the method, full-link deep customization from multi-source data deep fusion, globalized knowledge driving to cross-regional product accurate delivery is realized.

This invention relates to the field of gene editing technology, and more particularly to a method for constructing a zebrafish epilepsy model with htr6 gene deletion. Using CRISPANT technology, this invention designs suitable target sites on the htr6 gene in zebrafish, and co-injects specific sgRNA synthesized in vitro with Cas9 protein into zebrafish fertilized eggs via microinjection, successfully constructing a zebrafish epilepsy model. This invention can more efficiently and accurately silence specific genes in the genome of an organism, and is simple and low-cost to produce. It can also simultaneously cleave multiple sites on the target gene, silencing any number of individual genes. The zebrafish epilepsy model provided by this invention lays a solid foundation for further research on the relationship between htr6 gene mutations and the pathogenesis of epilepsy, as well as for screening antiepileptic drugs.

The invention belongs to the technical field of molecular biology, and particularly relates to a sex identification molecular marker based on micropterus salmoides Y chromosome specific deletion, a primer pair and a sex identification method. The marker disclosed by the invention is a 147bp deletion sequence (SEQ ID NO.1) on a Y chromosome of a male individual, and is in a complete linkage genetic relationship with sex, an XX genotype corresponds to a female individual, an XY genotype corresponds to a male individual, a YY genotype corresponds to a super-male individual, meanwhile, a primer pair for specifically amplifying the marker is provided, and the primer pair is used for detecting sex of the male individual. During detection, the genotype can be accurately judged according to the number of bands only by extracting the genome DNA of the fin ray tissue of an individual to be detected, performing PCR amplification by using the primer pair and analyzing amplified bands through agarose gel electrophoresis, and the method has the remarkable advantages of simplicity and convenience in operation, low cost and reliable result.

The application discloses a SNP molecular marker related to a total number of piglets character of a Changbai pig and application thereof, a SNP site with a login number of rs322407989 is significantly related to the total number of piglets character, and the SNP site is located at a base at position 92518039 of a chromosome 7 (version 11.1 of a pig genome), reference is made to an Ensembl database, nucleotide sequences of 50 bp upstream and downstream of a fragment with the login number of rs322407989 are obtained, the nucleotide sequences are shown in a sequence table SEQ ID NO. 1 or 2, a polymorphism site is G or A, compared with an individual with a genotype of GG, the Changbai pig has a higher total number of piglets when the genotype is AG.

The application discloses application of miR-493 gene promoter region SNPs in Qinchuan cattle body size and meat quality trait prediction. The application finds that four SNP sites of a marker located in a miR-493 gene promoter region are significantly related to Qinchuan cattle body oblique length and back fat thickness. Based on the finding, the Qinchuan cattle body size and meat quality traits can be predicted by detecting the genotypes of the above-mentioned SNP sites of the miR-493. Meanwhile, a kit and an operation method for detecting the SNP sites are provided, so that the beef cattle population can be rapidly detected and the individual genotypes can be determined, the early selection of the bull calves for breeding can be realized, the beef cattle breeding process is accelerated, and the production cost is saved.

The application belongs to the technical field of molecular biological breeding, and particularly relates to a SNP marker related to the meat quality trait of iron bone pig and application thereof. The SNP marker is located at the 157th base of the sequence shown in SEQ ID NO: 3, and the polymorphism thereof is C or T, wherein the CC genotype is significantly related to the high intramuscular fat content trait of the iron bone pig. The application further provides a specific primer composition for detecting the SNP marker, wherein the upstream primer and the downstream primer of the primer pair are shown in SEQ ID NO: 4 and SEQ ID NO: 5 respectively. By extracting the genomic DNA of the iron bone pig to be detected, and using the primer to perform PCR amplification and sequencing, the genotype of the individual can be determined as CC, CT or TT. By screening and retaining the individual with the CC genotype, and eliminating the individual with the TT and / or CT genotype, the intramuscular fat content of the offspring population can be improved, and the meat quality flavor can be improved.

The present application relates to the technical field of sheep high multiplication mutant genotype distinguishing, and particularly relates to a rapid genotyping method of sheep FecB mutation site based on SfaTnpB nuclease and a kit thereof.The method can not only effectively identify the genotype of the 746th position (FecB mutation) of the BMPR1B gene exon of a sheep individual, but also accurately distinguish the genotype of an individual with additional mutation at the 743th position in addition to the mutation at the 746th position in the actual production and breeding process.Compared with the prior art, the present application has the advantages of simple operation, rapid detection result judgment (within 45 min) and the like, and can provide a rapid, sensitive and good specificity FecB mutation site genotyping technical means for on-site screening of target genotype individuals in the sheep breeding process.

The invention provides a myopia progress prediction method based on a dynamic weight multi-gene risk score (PRS). The myopia progress prediction method comprises the following steps of: selecting a myopia progress prediction model according to the dynamic weight multi-gene risk score (PRS); the method comprises the following steps of: inputting a whole genome association study (GWAS) effect value of a basic population and individual genotype data of a target population, carrying out dynamic correction on a single nucleotide polymorphism (SNP) effect value in combination with a population differentiation index (Fst) and a linkage disequilibrium (LD) parameter of the target population, and constructing a PRS model with a population generalization ability. The method further collects individual environmental behavior data, including close-range eye load and outdoor exposure, calculates environmental interaction factors, and introduces the environmental interaction factors into a risk scoring model to comprehensively generate an individual dynamic risk score (PRSdynamic). The method has the characteristics of cross-racial adaptability, genetic-environment interaction modeling ability and optimization along with time change, can be used for individualized accurate prediction of myopia progress risks, and provides a scientific basis for myopia prevention and control research and intervention strategy formulation.

The present invention relates to the field of cancer and methods for early detection of cancerous lesions. In particular, the present invention relates to methods for early detection of cancerous lesions by analyzing microsatellite instability in the genome of an individual from liquid biopsy.

The invention belongs to the technical field of genetic breeding, and particularly relates to application of a DNA (deoxyribonucleic acid) fragment to regulation and control of GHR (growth hormone receptor) gene expression quantity and bovine body size, and a base sequence of the DNA fragment is shown as SEQ ID NO.12. According to the invention, SV detection and typing are carried out on individual genome sequencing data from different cattle varieties in the world, SV loci having significant selection in two differential populations are screened by a comparative genomics method, and SV variation located in a first intron region of a growth hormone receptor (GHR) is screened by combining gene functions annotated by SV, so that the SV variation is obtained. The influence of the SV on GHR expression is proved through analysis experiments such as a dual-fluorescein report system, it is proved that the SV can serve as a candidate molecular marker influencing the body type size, and an important target is provided for molecular breeding of beef cattle.

The invention belongs to the technical field of animal genetic breeding, and provides application of an SNP molecular marker associated with a pig backfat thickness character. The nucleotide sequence of the molecular marker is as shown in SEQ ID NO: 7, wherein the polymorphism of the 88th basic group is T / C. The method comprises the following steps: performing deep sequencing on individual genomes with different backfat thicknesses of large white pigs, and finding that mononucleotide mutation Tgt exists at the 88th basic group of the 15th exon of the GLB1 gene; and C, inter-group difference exists. According to the present invention, the pig population is further expanded, the genome DNA is subjected to PCR amplification sequencing, the mutation site typing is performed, the correlation analysis with the corrected 100 kg backfat thickness of the large white pig is performed, and the correlation with the pig backfat thickness is determined, such that the reference data can be provided for the molecular marker-assisted breeding of the large white pig, and the continuous requirement of the large-scale production on the efficient feed energy utilization can be easily met.

The invention discloses a trachinotus ovatus cold-resistant variety breeding assisting method and system based on scene adaptation, and the method comprises the steps: obtaining breeding environment scene data, individual genotype data and individual low-temperature-resistant phenotype data of trachinotus ovatus bred in winter in different sources, and constructing a multi-scene breeding database; screening out a candidate SNP site set significantly related to the low temperature resistance phenotype, and constructing a fusion feature vector representing a genotype-environment interaction effect; taking the fusion feature vector as a decision variable, taking low-temperature-resistant phenotypic data as a target variable, and combining with a multi-scene breeding database to construct a cold-resistant performance prediction model; acquiring expected breeding scene information, simulating and generating a virtual breeding group in combination with an existing germplasm resource library, and performing dominant genotype recommendation to obtain a dominant genotype recommendation table; candidate parent individuals are screened in combination with the current available parent group, a breeding path is designed, an optimal breeding scheme is generated and pushed, and precise adaptive breeding of the variety and the target breeding scene is achieved.

This invention discloses CHS3 Genes and CHS1 The use of gene combination in improving resistance to pine wilt disease in pine trees. This invention discovers that, compared to using individual genes... CHS3 Gene or CHS1 Genes were overexpressed in embryogenic callus tissue of Japanese larch, and Japanese larch was used to... CHS3 Genes and CHS1 Co-expression of the gene in embryogenic callus of Japanese larch significantly enhances the resistance of the callus to pine wood nematode. Therefore, this invention provides a method for addressing the resistance of Japanese larch embryogenic callus to pine wood nematode. CHS3 Genes and CHS1 The use of genes in improving pine resistance to pine wood nematode includes: [the following is unclear and likely incomplete: "in pine trees..."] CHS3 Genes and CHS1 Genes are co-expressed, making CHS3 Genes and CHS1 Enhanced gene expression or increased function or activity of encoded proteins. This invention has significant economic and ecological value in improving the resistance of pine trees to pine wilt disease.

The application discloses a Trichiurus lepturus gender-specific molecular marker and a primer pair thereof. The application first excavates a DNA fragment with stable difference existing in the genomes of male and female Trichiurus lepturus, i.e., the sequence of the molecular marker is shown as SEQ ID NO:1, which exists on the genetic sex X chromosome of the Trichiurus lepturus and is absent on the Y chromosome. The sequences of the primer pair are shown as SEQ ID NO:2 and 3. A genetic sex identification method of the Trichiurus lepturus is established, and the genetic sex of the Trichiurus lepturus can be accurately identified, which lays a foundation for related genetic basic research. The application has the characteristics of wide application range, simple operation, high accuracy and the like, and has important application value in Trichiurus lepturus gender proportion monitoring and resource investigation.

The present application relates to the field of medical systems. The present application discloses a kind of intelligent management system and its management method for intelligent medical treatment, it includes individual gene, environmental exposure and life habit data acquisition module acquisition;Disease association network construction module constructs network containing three kinds of risk factor nodes and association according to this;Data processing module processes node and calculates disease type and risk probability;Risk partition module partitions output risk sub-network according to factor type;Risk assessment module generates evaluation results and intervention suggestions according to sub-network. Each module is connected in turn.The present application captures pathogenic factors comprehensively through gene, environmental, life habit data acquisition;Structured association network can be constructed to visually display factor relationship;Ensure that result is scientific through data cleaning and other processing;Sub-network is divided to realize hierarchical management and factor collaborative capture;Dynamic module real-time monitoring feedback;Static and dynamic cooperation form time-space continuous evaluation to adapt to multiple needs.

The invention discloses a single molecule real-time sequencing-oriented assembling method based on a reference genome, and relates to the field of individual genome assembling, in particular to a single molecule real-time sequencing-oriented assembling method based on the reference genome. The method aims at solving the problems that single-molecule real-time sequencing data is high in original error rate, traditional de novo assembly is large in computing resource and memory consumption, and repeated sequences and complex structure variation regions in genomes are difficult to cross. The method comprises the following steps: step 1, constructing a Hash index based on a reference genome; constructing an alignment skeleton of the long read sequence by adopting a staged alignment strategy; recording the comparison skeleton breakpoint of the long read sequence as an SV signal; step 2, clustering is carried out on the SV signals; step 3, constructing a long read sequence overlapping graph; converting the overlapped graph into a directed character string graph and simplifying the directed character string graph; and replacing the reference sequence with the long read sequence comparison information.

The application discloses a method and device for identifying genetic variation of HLA genes based on NGS data and a storage medium. By obtaining a sequence close to an individual HLA genotype sequence as a sample HLA gene reference sequence, accurate detection of an HLA SNP genotype is performed, and then alignment is performed in a coordinate system, so that the detected SNP sites have comparability between individuals, and a disease-susceptible HLA genetic SNP site with high research and diagnosis value can be more accurately identified.

The invention discloses a mutton sheep breeding method based on machine learning assistance. The mutton sheep breeding method comprises the following steps of 1, multi-source heterogeneous data collection, wherein a multi-dimensional dynamic data pool containing genomes, phenotypes and environments is constructed; 2, data processing: constructing a high-value SNP feature library, and constructing an individual relation graph based on genetic similarity to form a dynamic graph structure; 3, constructing a prediction model: constructing a genotype-phenotype mapping model by adopting a graph convolutional network and a graph attention network, and constructing a multi-task learning framework sharing a bottom feature extractor and a multi-environment output head to complete explicit gene-environment interaction modeling; 4, closed-loop feedback: constructing a closed-loop feedback system; 5, model training: dividing a training set and a verification set by adopting cross-time verification or pedigree grouping verification; and 6, comprehensive breeding value evaluation: inputting candidate individual genotypes and environmental parameters, and predicting the model to output a dynamic comprehensive breeding value.

The invention discloses an SNP molecular marker for identifying the brood amount of female sturgeons and application of the SNP molecular marker, and belongs to the field of sturgeon genetic breeding and sturgeon molecular marker-assisted breeding. The SNP molecular marker for identifying the brood amount of the female sturgeon is located at the 117bp position of a GnA gene nucleotide sequence fragment; the polymorphic form of the SNP site is C / A, and the genotype of the SNP site comprises CC, CA or AA. Wherein the female individuals with the genotype of AA belong to low-brood-amount individuals, and the female individuals with the genotypes of CC and CA belong to high-brood-amount individuals. The molecular marker provided by the invention can be used for early-stage artificial screening of female sturgeon brood quantity characters, screening can be carried out in various female sturgeon groups such as acipenser schrenckii, Huso dauricus, acipenser sibiricum and hybrid sturgeons, and the artificial breeding process of sturgeon varieties with high brood quantity can be remarkably accelerated.

To provide a method for screening a DNA sequence by which the optimum combination of the expression intensities of individual genes can readily be found even when the optimum combination of the expression intensities of the individual genes in a cluster containing a plurality of genes encoding a multimodule type biosynthetic enzyme is unknown.SOLUTION: The method for screening a DNA sequence of the present invention comprises at least the steps of: (a) assembling DNA fragments using the OGAB method to prepare a plasmid containing a plurality of DNA fragments encoding multimodular biosynthetic enzymes; (b) transforming the plasmid into a host cell to allow the host cell to produce the multimodular biosynthetic enzymes; and (c) screening a plasmid containing a DNA fragment based on the properties of the produced multimodular biosynthetic enzymes or the properties of the transformed host cell.SELECTED DRAWING: None