24 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 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 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 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 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 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 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 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 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 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.

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

The present application relates to a kind of star point oriental tile genetic sex related InDel molecular marker, primer and its application, belong to molecular biology field, the molecular marker is located on the male DNA of star point oriental tile, the partial DNA sequence shown in the molecular marker is as shown in SEQ ID NO.1, the InDel molecular marker is a 2bp length insertion sequence, at the 35th and 36th of nucleotide sequence shown in SEQ ID NO.1, the sequence only stably exists in the genome of male individual of star point oriental tile, is deleted in the genome of female individual.This application can accurately and non-invasively identify the genetic sex of star point oriental tile fry and non-breeding season adult fish without killing experimental subjects.

The invention relates to an InDel molecular marker related to genetic sex of Takifugu stellate, a primer and application thereof, and belongs to the field of molecular biology, the molecular marker is located on male DNA of Takifugu stellate, the DNA sequence of the part where the molecular marker is located is as shown in SEQ ID NO.1, the InDel molecular marker is an insertion sequence with the length of 2bp, and at the 35th site and the 36th site of the nucleotide sequence as shown in SEQ ID NO.1, the nucleotide sequence of the primer is as shown in SEQ ID NO.1. The sequence only stably exists in male individual genomes of Takifugu star and is deleted in female individual genomes. According to the method disclosed by the invention, the genetic sex of the fugu stellus fries and the adult fishes in the non-breeding season can be accurately and noninvasively identified on the premise of not killing experimental subjects.

The present application belongs to the field of animal genetic breeding technology, and provides a high-efficiency embryo production donor cow screening method, which is characterized in that the method is to collect the phenotype data, pedigree and genomic information of the embryo production donor cow, establish a donor reference population, construct a kinship matrix based on the pedigree information and genomic information of the reference population, estimate the trait variance component according to a linear model; combine the kinship matrix of the reference population, the embryo production capacity trait variance component and the phenotype information to estimate the effect value of each SNP site of the reference population, select a linear model according to the genomic information and the SNP site effect value to construct a breeding model; input the genomic information and pedigree information of the individual to be tested, predict the gEBV of the individual based on the breeding model, and screen the high-efficiency embryo production donor cow according to the gEBV ranking. The present application establishes a genomic prediction technology of the high-efficiency embryo production donor cow, and can early and accurately screen the high-efficiency embryo production donor cow through the genomic information.

Disclosed are a targeted capture sequencing-based 10K low-density SNP array for dairy cattle and a use thereof. Provided is a 10K low-density array for detecting genotypes of dairy cattle, comprising: single-stranded nucleotide probes for specifically detecting 11352 SNP sites and 6 INDEL sites on a dairy cattle genome (mainly comprising three types: sites related to important traits of dairy cattle, parentage testing and genetic defect sites, and sites selected from existing commercial dairy cattle genome arrays). Compared with existing high-density arrays, the provided 10K low-density genomic array has lower detection costs, and has detection performance such as SNP detection rate, polymorphism detection, individual genotype detection rate, and genetic evaluation accuracy consistent with that of the high-density arrays. The array can be applied to genomic selection and genetic defect identification of dairy cattle, and has important significance on early breeding of replacement heifers, establishment of cow nucleus herd, selection and matching, acceleration of genetic progress and improvement of feed management efficiency.

The invention discloses an attention mechanism optimization-based integrated genetic feature selection method, which is used for carrying out feature selection on a training data set for software defect prediction through a genetic algorithm. Specifically, a binary system is used for coding genes of individuals, then the individuals are used as masks, features are selected from a training data set to construct a feature subset, 1 represents feature selection, and 0 represents feature non-selection. The mass fraction of each gene in the parent is calculated through a multi-head attention mechanism, the crossed positions are selected according to the mass fractions of the genes to generate offspring individuals, and the higher the mass fractions of the genes are, the higher the probability of being selected is. Training the base model by using the feature subset, calculating a mean square error of the feature subset on the base model, taking a negative value as a fitness value, taking an individual with the highest fitness value as an optimal individual, selecting features from the training data set, and constructing the feature subset to train the software defect prediction model. And the generalization ability and the training efficiency of the model are improved.

The application discloses a new energy system capacity configuration method and device, and a regional power grid system. The new energy system capacity configuration method comprises the following steps: establishing an individual gene sequence according to a regional power grid network topology structure; wherein the individual gene sequence is a sequence of each load branch connected with a main road of a network frame in each region in the region, and a new energy configuration capacity of a new energy power generation branch in the load branch is taken as a gene of an individual; a plurality of populations are generated; the population comprises a plurality of individuals, and an individual gene sequence of which gene assignment is completed is taken as an individual; according to an environmental constraint condition and a predicted power trajectory of each load branch of each individual in a preset time period, the plurality of populations are subjected to optimization calculation to obtain a plurality of target individuals; and a configuration capacity result of one target individual is selected as a new energy system capacity configuration scheme in the regional power grid. The application solves the capacity planning problem of the new energy system in each region from the perspective of the whole region and in consideration of regional collaborative control and consumption.

A five-axis cutter feeding and retracting method based on a genetic algorithm belongs to the technical field of numerical control machining and comprises the following steps: step 1, discretizing a workpiece space; defining a cutter as a cylinder, and segmenting a cutter path by using a linear sampling method; 2, gene coding processing, wherein the chromosome of each individual is coded into a path point sequence; 3, performing population initialization processing, randomly generating Group Size individuals, and calculating and selecting the Group Size individuals with relatively high fitness to form an initial population; 4, performing gene recombination treatment based on individual fitness; 5, performing gene mutation, namely performing mutation on individual genes according to a mutation probability; 6, natural selection is conducted, population individual fitness is ranked, and a population is reformed; and carrying out iterative solution on the step 4, the step 5 and the step 6. According to the scheme, tool retracting can be achieved at any position, the optimal tool retracting track is automatically selected, collision is prevented in the tool retracting process, and the tool retracting efficiency can be improved.