58 results about "Genetic distance" patented technology

The invention discloses an acer elegans cross breeding method based on flowering phase difference regulation and control, and belongs to the technical field of garden plant breeding. The method comprises the following steps: selecting an acer elegans variety of which the natural early flowering phase difference is greater than or equal to 10 days and the genetic distance is greater than or equal to 0.5 as a cross parent, carrying out low-temperature refrigeration and shading blue light supplementing treatment on a female parent to delay the flowering phase, and carrying out prolonged illumination, red light supplementing and hormone and nutrient solution spraying on a male parent to advance the flowering phase; male parent pollen is collected through a vacuum negative pressure adsorption device and stored in a closed container, a sucrose solution is sprayed to female parent stigmas before pollination, and repeated pollination is conducted through a directional nozzle at 9-11 o'clock every day; carrying out stratification treatment and temperature-difference temperature-control germination on the hybrid seeds, and carrying out light-temperature regulation and control seedling culture after sowing; the molecular marker is used for verifying the hybridization authenticity and target traits, phenotype determination is carried out on three-year-old seedlings to complete breeding, the hybridization obstacle caused by asynchronous flowering phases of the caenorhabditis elegans varieties is solved through the flowering phase regulation and control technology, and the hybridization success rate is increased.

The invention discloses a corn crossbreeding intelligent matching system and method based on artificial intelligence, and the method comprises the steps: collecting molecular marker genotype data and phenotype data of candidate parents, calculating the genetic distance between the parents, and constructing a genetic distance matrix; analyzing the phenotypic complementarity degree of the parent pair, and calculating a phenotypic complementarity index; constructing a heterosis prediction model based on genetic distance and phenotype complementarity, and predicting the yield heterosis value of the candidate hybrid combination; evaluating the environmental adaptability and resistance comprehensive score of the candidate combination; and adopting a Pareto multi-objective optimization strategy to screen an optimal matching scheme. According to the method, molecular marker data and phenotype data are integrated, a heterosis prediction model considering a genetic distance nonlinear effect is constructed, collaborative optimization of multiple breeding targets such as yield, resistance and environmental adaptability is achieved, the prediction accuracy is improved by about 20% compared with that of a traditional method, and the method is suitable for large-scale popularization and application. And an intelligent and precise decision support tool is provided for corn crossbreeding.

The invention relates to the technical field of biology, in particular to an SSR molecular marker primer group for identifying the variety of herba epimedii, a kit and application. The core primers of the SSR molecular marker disclosed by the invention comprise 823, 840, 841, 842, 854 and 866, and the primers can be used for identifying the herba epimedii arrow leaf No.1, the herba epimedii arrow leaf No.2 and the herba epimedii soft hair No.1. The SSR molecule can be used for researching the genetic diversity, genetic relationship and genetic distance of epimedium, and respectively establishing molecular identity cards of three new epimedium varieties, namely epimedium arrow leaf No.1, epimedium arrow leaf No.2 and epimedium soft hair No.1, so that a foundation is laid for genetic map construction, excellent character marking and the like; meanwhile, a scientific basis is provided for constructing a molecular breeding system of a new variety (line) of herba epimedii in the later period.

The invention relates to the technical field of gene SNP molecular markers, in particular to a gene SNP molecular marker method and system for watermelon breeding, and the method comprises the following steps: respectively extracting DNA solutions of watermelon samples of a plurality of varieties, and performing fingerprint construction based on SNP typing; the method comprises the following steps: acquiring a 16S rRNA sequence of each watermelon flora, and dividing each 16S rRNA sequence into each base sequence; determining mutation associated parameters of each basic group; obtaining a transition probability matrix of each 16S rRNA sequence; correcting the sampling step length of each 16S rRNA sequence; the transition probability matrix is corrected; determining a feature vector of each 16S rRNA sequence; the genetic distance between the watermelon flora and the 16S rRNA sequence of the soil sample is determined, a phylogenetic tree is constructed, and the strongly correlated flora of the breeding environment of each variety of watermelon samples is determined. Therefore, the suitability of the watermelon breeding environment is improved.

The invention relates to the technical field of virus traceability, and particularly discloses a coronavirus sample detection method which comprises the following steps: S1, acquiring high-throughput original sequencing data of a target sample; s2, inputting the original sequencing data into a dynamic learning type recognition model, and outputting each virus pedigree and the credibility of each pedigree; s3, performing noise perception variation detection on the original sequencing data; s4, aiming at each virus lineage, determining a variation point; s5, detecting a mixed infection indicator; s5, constructing a Bayesian network to determine the genetic relationship among the variation points, and generating a virus haplotype sequence; s6, calculating a genetic distance, and deducing a propagation path through a maximum likelihood method; and outputting a traceability report. The method solves the problem of frequency conflict when multiple pedigree coexist, is suitable for the situation that multiple pedigree viruses coexist to form mixed infection or co-infection, and avoids misjudgment of attribution of variation sites.

The invention discloses a fig germplasm resource diversity evaluation system and a fig germplasm resource diversity evaluation method, and relates to the field of comprehensive evaluation.The fig germplasm resource diversity evaluation method comprises the steps that after multi-climate zone fig germplasm resources are collected and samples are processed in a standardized mode, 32 phenotypic characters are obtained in combination with hyperspectral imaging, 3D morphological scanning and a physiological sensor; a UPLC-QTOF-MS technology is utilized to construct metabolite fingerprints of leaves and fruits, and an SNP / InDel molecular marker is developed through whole genome re-sequencing for genotyping. Integrating stress resistance physiological data in a stress environment, and calculating a comprehensive score by adopting an analytic hierarchy process. And screening core evaluation indexes through weighted principal component analysis, constructing a similarity matrix in combination with an improved Shannon-Wiener index and a Neii's genetic distance algorithm, and finally forming a germplasm clustering map and a genetic diversity thermodynamic diagram. The method has the advantages that germplasm representativeness is guaranteed through multi-climate-zone sampling, multi-dimensional data are integrated, core indexes are accurately analyzed and screened, a visual atlas is finally generated, and scientific support is provided for germplasm research and breeding.

The invention discloses an AIDS molecular propagation network monitoring method and device based on deep learning classification, and the method comprises the steps: collecting AIDS virus gene sequence data and social attribute data of AIDS patients, calculating a genetic distance and a genetic distance matrix, and converting the genetic distance and the genetic distance matrix into AIDS image data; then constructing an AIDS neural network model to output propagation network characteristics, obtaining virus data classification of different AIDS virus gene sequences according to the propagation network characteristics, selecting a target classification result, obtaining a propagation path and a propagation speed, and further knowing the propagation dynamic state of the AIDS virus. Predicting the transmission risk of an HIV gene sequence corresponding to the HIV image data; according to the embodiment of the invention, the transmission of the HIV not only depends on gene sequence data, but also provides more accurate and comprehensive transmission risk collection and distribution in combination with social attributes such as social relationship and gender of the propagator, and can identify higher transmission risks, so that prevention measures can be implemented in a targeted manner.

The invention discloses an InDel molecular marker for detecting radish clubroot resistance as well as an acquisition method and application thereof, and belongs to the technical field of molecular breeding. The invention discloses an anti-clubroot QTL (quantitative trait locus) RsCr5g. 1 located in a radish chromosome 5, the maximum LOD (limit of death) value of the anti-clubroot QTL reaches 66.94, and the credibility is high; the disease-resistant QTL locus has high contribution rate to clubroot resistance, can explain 64.3% of phenotypic variation, and has high utilization value in radish clubroot-resistant breeding. The genetic distance between the molecular marker GZ012 disclosed by the invention and the clubroot-resistant QTL site RsCr5g. 1 is only 0.36 cM, the molecular marker GZ012 and the clubroot-resistant QTL site RsCr5g. 1 are closely linked, and the marker GZ012 is used for carrying out clubroot-resistant molecular marker-assisted selection, so that the accuracy of disease resistance prediction is high, the efficient and accurate development of disease-resistant molecular breeding is facilitated, and the molecular marker GZ012 has important significance in the prevention and control research of radish clubroot.

This invention provides a data storage method and system for tuberculosis detection, relating to the field of tuberculosis detection technology. The data storage method for tuberculosis detection includes the following steps: S1. Collecting whole-genome sequencing data of Mycobacterium tuberculosis, host serum IgG titer, and drug sensitivity test results; S2. Calculating genetic distance D based on a reverse evolution model to generate four-dimensional spatiotemporal coordinates (t, x, y); S3. Performing data partitioning and storage based on the drug target barrier value β; S4. Generating dynamic metadata using a host-pathogen dynamics model and compressing and storing it. This invention implements a dynamic storage entropy adjustment algorithm at the hardware and software collaborative level, continuously optimizing the matching efficiency of data compression and physical storage. This results in an intelligent data hub that can perceive the evolutionary pulse of pathogens and autonomously optimize resources, providing support for clinical tuberculosis prevention and control decisions with temporal depth, spatial correlation, and risk evolution.

The invention discloses a method for cross breeding of trichosanthes kirilowii maxim, which belongs to the technical field of breeding and comprises the following steps: performing sister line inbreeding through female plants and male plants in the same trichosanthes kirilowii maxim, planting seed seedlings according to plant rows in the second year, combining field phenotype identification, eliminating bad single plants, selecting single plant groups with excellent characters, and further performing sister line inbreeding homozygosis to obtain the trichosanthes kirilowii maxim. The method comprises the following steps: continuously inbreeding compulsory sister lines for 3-4 years, eliminating bad allelic genes, identifying the homozygous degree of different sites of a whole genome by using SSR molecular markers to obtain inbred lines with excellent comprehensive characters, calculating genetic distances of different inbred lines according to genotypes, and selecting the inbred lines as parents in combination with phenotypic character complementation and breeding target requirements of the inbred lines. The method comprises the following steps: carrying out cross breeding on snakegourd fruits, selecting single plants with excellent comprehensive characters from filial generations, carrying out propagation through root tuber or tissue culture, and carrying out yield and related quality comparison so as to breed more new snakegourd fruit varieties with high yield, high quality, disease resistance and excellent comprehensive characters.

The application discloses a high-throughput genotype intelligent analysis method, which comprises data acquisition and preprocessing, molecular marker identification and prediction of genetic relationship and hybridization advantage; high-throughput genotype data are subjected to standardization treatment, three quality evaluation standards of coverage, transversion / transversion ratio and error rate are established, and batch effect is corrected through a position effect index; then genetic similarity matrix between samples is calculated based on the pretreated data, a label SNP with high centrality is identified as a molecular marker through linkage disequilibrium network analysis; the population genetic relationship is estimated by using the marker, and a phylogenetic tree is constructed, and the hybridization advantage is predicted based on the relationship index of heterozygosity and genetic distance. The application significantly improves the quality of genotype data, optimizes the screening of molecular markers, accurately estimates the population genetic relationship and accurately predicts the hybridization advantage, and provides an efficient bioinformatics solution for modern breeding.

The invention discloses a KASP molecular marker, a detection method and an application of a wheat leaf rust resistance gene Lr16G216 in the adult stage, and belongs to the field of molecular breeding technology. The KASP molecular markers tightly linked to the wheat leaf rust resistance gene Lr16G216 in the adult stage are Ax109403980 and Ax95083494, and the above two molecular markers are co-localized with the wheat leaf rust resistance gene Lr16G216 in the adult stage on the long arm of wheat chromosome 6B, and the genetic distance between the two is 0.59cM. Compared with conventional molecular markers, the molecular markers provided by the invention can not only efficiently, accurately and high-throughput detect the genetic mapping population of Lr16G216, and be applied to the fine positioning and map cloning of Lr16G216, but also can perform high-throughput molecular marker-assisted selection, realize high-throughput screening of the disease resistance gene Lr16G216 in a large breeding population in a short time, and can effectively improve the efficiency of molecular breeding for wheat leaf rust resistance.

This invention discloses a method, system, and device for branching the gene sequence of influenza A virus, relating to the field of bioinformatics. The method includes the following steps: reading a user-input phylogenetic tree structure file and a Fasta file; dividing the phylogenetic tree into multiple branches based on a set first custom parameter and the gene sequence data of each cotyledon node; verifying the relationship between branches based on a set second custom parameter, and merging branches whose genetic distance is within a set threshold; verifying the merged branches; and if there are unassigned cotyledon nodes, assigning them to the branch with the closest genetic distance that satisfies the custom parameter, thereby obtaining the final branching result of the influenza A virus gene sequence. The method employed in this invention enables targeted phylogenetic branching based on the characteristics of influenza A virus, improving the accuracy of the branching results.

The invention provides a cyclobalanopsis rupestris EST-SSR (expressed sequence tag-simple sequence repeat) marker primer, the primer comprises seven primer pairs which are P2, P11, P24, P25, P29, P32 and P34 in sequence, and the sequences are shown as SEQ ID NO: 1-14, the invention further provides a preparation method of the EST-SSR marker primer, and the preparation method comprises the following steps: S1, selecting a cyclobalanopsis rupestris sample, sampling, drying and storing; s2, carrying out DNA extraction and purity detection on the sample, and then storing all extracted sample DNAs for later use; and S3, selecting a DNA sample to establish a PCR amplification system, then carrying out PCR amplification to obtain pre-selected primers, and then screening the pre-selected primers to obtain the cyclobalanopsis gilgiana EST-SSR labeled primer. The invention also comprises the application of the EST-SSR labeled primer in population genetic diversity, population genetic structure analysis, population genetic differentiation analysis, genetic distance and clustering analysis of the EST-SSR labeled primer. The cyclobalanopsis gilgii leaf EST-SSR marker primer fills up the technical vacancy in the field, and provides a research basis for cyclobalanopsis gilgii population protection and germplasm resource preservation and utilization.

The invention belongs to the technical field of germplasm resources, and particularly relates to a method for constructing notopterygium root core germplasm, which comprises the following steps: collecting wild population and cultivated population samples of notopterygium root and broad-leaf notopterygium root, extracting sample DNA, amplifying chloroplast gene segments and sequencing; performing data analysis on a sequencing result; screening populations with the following characteristics as core germplasm sources: a) populations with single genotype or haplotype distribution and large genetic distance; b) populations containing locally specific or rare haplotypes; and c) original populations which are not cultivated and mixed. The method constructs the core germplasm of notopterygium root and notopterygium broadleaf from the molecular perspective, provides a powerful tool for construction of the core germplasm of medicinal plants, and has important significance for sustainable utilization of the germplasm of notopterygium root.

The invention discloses a method for identifying rhizoma cibotii medicinal material base and adulterants thereof based on rbcL bar codes, and belongs to the technical field of medicinal material base molecular identification. The rbcL sequence of the rhizoma cibotii species is constructed by collecting rhizoma cibotii and adulterants thereof from different producing areas and combining the adulterants sequence downloaded from GenBank, K2P genetic distance analysis and phylogenetic tree construction are carried out based on the rbcL bar code, and it is determined that the rbcL is the optimal DNA bar code of rhizoma cibotii. The rbcL gene amplification primer is adopted to perform PCR amplification on the DNA sequence of the to-be-detected sample to obtain the corresponding sequence, the K2P genetic distance is analyzed and the phylogenetic tree is constructed according to the obtained sequence matrix, species can be obviously separated, the cibotium rhizome medicinal material and the source species of the adulterants can be clearly distinguished, and the method is simple and convenient to operate. A brand-new thought is provided for identification of the rhizoma cibotii medicinal material base and adulterants of the rhizoma cibotii medicinal material base, and the method has important significance for solving the problem of adulteration of rhizoma cibotii medicinal materials in the medicinal material

The present invention relates to the field of animal breeding technology, and in particular to a method for constructing a core germplasm of beef cattle and its application. The construction method provided by the present invention comprises: 1) obtaining genotype data of a beef cattle breed for which a core germplasm is to be constructed; 2) performing quality control and filling on the obtained genotype data, and screening common SNP sites; 3) using common SNP sites to calculate the genetic distance of an individual to a group, establishing a standard for eliminating outliers, and constructing a primary core germplasm of a beef cattle breed; 4) using the Core Hunter 3 algorithm to search for the core germplasm of the best proportion, and constructing a core germplasm of a beef cattle breed. The construction method provided by the present invention can represent the genetic diversity of each germplasm resource to the maximum extent with a minimum number of germplasms, greatly reducing the workload of preserving beef cattle germplasm resources, and has a certain promoting effect on the purity analysis of population pedigree.

The present application belongs to the field of aquatic animal genetics and breeding, and particularly relates to a breeding method of a new line of palm-shaped and high-meat-yield long oyster. The method comprises the following steps: (1) determining the genetic distance of each population of long oysters from different geographical sources; (2) obtaining the variation coefficient of the shell length and meat yield of long oysters; (3) calculating the genetic force of the shell length and meat yield of long oysters, and the genetic correlation between the two indexes; (4) calculating the family breeding value of the two traits, setting the weight value of the shell length and meat yield respectively, calculating the comprehensive breeding value, and screening the optimal family in proportion; (5) pairing the families among populations to improve the genetic diversity of the offspring; (6) taking the shell length and meat yield as the breeding target, and retaining the seed oysters according to the set seed retention rate every generation, the number of female and male seed oysters is maintained above the set number, and the breeding population retains the matching line.

The application discloses a breeding method of Yunnan fragrant soft rice, which comprises the following steps: step one is to excavate specific rice resources, step two is to create new germplasm backbone parents, step three is to perform 'two-way' separation expression and single recessive relative trait elimination, and step four is to perform excellent trait balanced selection. In the application, indica rice or semi-indica rice resources from 1450-1650m warm and cool rice areas in Yunnan are collected, apparent morphological identification is performed on the resources and low-heat valley rice area materials, excellent materials with complementary traits are screened, and fragrant soft rice breeding intermediate materials and backbone parent reserves are created. In addition, parent populations with far genetic distance and different ecotypes are created, excellent genes with far genetic distance are introduced into Yunnan fragrant soft rice materials, according to the physiological characteristics of similar ecotype rice, affinity is improved, blood penetration and fusion are increased, backbone parents with rich and varied gene types are created, and'sticky + waxy' and 'colored vs. non-colored' parents are selected to perform hybridization, recessive trait materials are selected or eliminated, and the breeding efficiency can be improved.

The application provides a method for determining salmon run time based on genetic distance and principal coordinate analysis, and belongs to the technical field of molecular biology. On the basis of obtaining salmon microsatellite data, the application makes accurate determination of salmon run time at the molecular level by using a genetic differentiation coefficient in combination with a technical means of principal coordinate component analysis. Based on the application, technical support is provided for accurate determination of the run time of anadromous fish, and the application has important significance for the study of anadromous fish.

The invention discloses a high-throughput genotype intelligent analysis method. The method comprises the steps of data acquisition and preprocessing, molecular marker recognition and genetic relationship and hybridization advantage prediction. Performing standardization processing on the high-throughput genotype data, establishing triple quality evaluation standards of coverage rate, conversion / transversing rate and error rate, and correcting batch effect through a position effect index; then calculating a genetic similarity matrix among the samples based on the preprocessed data, and analyzing and identifying a tag SNP with high centrality as a molecular marker through a linkage imbalance network; the markers are used for estimating the genetic relationship of the population and constructing a phylogenetic tree, and meanwhile, the hybridization advantage is predicted based on the relationship index of the heterozygosity and the genetic distance. According to the method, the genotype data quality is remarkably improved, molecular marker screening is optimized, the population genetic relationship is accurately estimated, the hybridization advantage is accurately predicted, and an efficient bioinformatics solution is provided for modern breeding.

A computer-implemented method for calculating an individual's tailored Polygenic Risk Score is based on known genetic information. A dataset is provided related to a reference panel including genetically characterized individuals with known disease status and diversified global ancestry. An individual-specific genetic reference group of individuals is selected as a subset from the reference panel. Genetic distances of the individual from each of the reference panel individuals are computed; each being the individual's genetic distance from a respective reference panel individual. Individuals of the individual-specific genetic reference group based on the individual's computed genetic distances are selected. The individual's basic Polygenic Risk Score for a disease is calculated to provide the individual's disease risk prediction. An ancestry-based background PRS contribution is determined. The ancestry contribution is removed from the individual's calculated basic Polygenic Risk Score to obtain the individual's tailored Polygenic Risk Score and provide a disease risk prediction.

The present invention discloses a molecular marker linked to a major QTL regulating rice whiteback whitefly resistance. The QTL is located on rice chromosome 1, with a genetic distance of 30.88-34.32 cM and a physical distance of 7203302-8007653 bp. Molecular markers are then set on both sides of the QTL, and the molecular markers are used to screen rice varieties resistant to whiteback whiteflies, thereby improving the efficiency of screening for ideal rice plant types.

This invention discloses a method for recommending germplasm resources and hybrid combinations for new peach variety breeding, belonging to the field of agricultural bio-breeding technology. The method involves collecting phenotypic observation data and genotypic detection data of peach germplasm resources; determining phenotypic characteristics including fruit development duration and dynamic parameters of sugar and acid accumulation, and generating a phenotypic dataset through genetic association analysis; generating a preliminary genetic similarity matrix through genetic distance calculation and kinship analysis, and obtaining a standardized genetic similarity matrix by correcting phenotypic expression stability data; inputting the dataset into a genetic breeding digital model, adjusting the germplasm unit arrangement and genetic effect parameters to update the model; acquiring cultivation environment data, determining phenotypic segregation patterns under different breeding cycles, analyzing the correlation between phenotypic segregation patterns and cultivation environment data, and generating hybrid combination recommendation results. This invention can provide systematic guidance for parent selection in peach breeding work, improving breeding efficiency.

The invention relates to a method for the temporal calibration of a phylogenetic tree by means of digital processing, and comprises: - receiving, in digital format, a set of dated events involving the isolation or transmission of a pathogen, and a set of events to be dated involving the isolation or transmission of the pathogen, organised in the form of a phylogenetic tree following a traversal order from the root to the leaves. A plurality of events have a date to be determined; - forming a Hessian matrix of a logarithmic objective function F of a molecular clock model of the pathogen, defining the relationship between the genetic distances, the dates, and the durations between the events, wherein the Hessian matrix H comprises what is referred to as a local block T defining the branches between the events on the phylogenetic tree. The block T has a size proportional to the number of events on the phylogenetic tree for which the date is to be determined; - identifying the dates to be determined by means of Newton's optimisation method.

The invention provides an HIV molecular network construction method and analysis system based on gene distance analysis, and relates to the field of bioinformatics, the system sequentially comprises a data input module, a sequence quality control module, a multi-sequence comparison module, a genetic distance analysis module, a network construction and cluster identification module, a network index calculation module, a visual rendering module, a user cooperative control module and the like; all the modules work cooperatively through preset interfaces, alignment, distance calculation and threshold judgment can be automatically completed on batch HIV nucleic acid sequences, sequence pairs meeting the threshold condition are mapped into a node edge network, propagation clusters are recognized in real time, and topological indexes such as node degree and betweenness centrality are calculated. The system adopts a plug-in architecture, supports algorithm replacement and parameter configuration, allows multiple users to synchronously adjust a threshold value or a screening condition, refreshes a network structure and a statistical result in real time, and outputs a personalized network diagram and an analysis report.

The invention belongs to the technical field of agricultural biology, and particularly relates to a grape stock-scion bidirectional screening and predicting system, which comprises an interaction module, a database module, a stock-scion prediction module, a stock-scion prediction module and a stock-scion prediction module, the database module is used for storing germplasm feature data, grafting feature original data and genetic distance data between germplasm; the calculation module generates grafting evaluation data based on the grafting feature original data and updates the grafting evaluation data to the database module; the screening and predicting module is used for responding to a germplasm name input by a user, screening out a first related germplasm set with similar genetic distances based on genetic distance data among germplasm, screening out a set of candidate germplasm recommended to be suitable for grafting in combination with grafting evaluation data, and predicting the first related germplasm set; and selectively screening out a second related germplasm set with the genetic distance close to that of the germplasm in the candidate germplasm set, and outputting the second related germplasm set by the output module. The scheme is used for solving the technical problems of low grape stock-scion selection efficiency, high individual experience dependency and poor precision in the prior art.

The invention belongs to the technical field of germplasm diversity screening, and particularly provides a core germplasm screening method based on genetic distance control, which comprises the following steps of: collecting an original germplasm group tissue sample to extract DNA (Deoxyribonucleic Acid), and performing PCR (Polymerase Chain Reaction) amplification by utilizing an SSR (Simple Sequence Repeat) molecular marker to obtain site length polymorphism data; the Neii's genetic distance between individual sites is calculated to construct a genetic distance matrix, and multi-round screening is carried out according to specific conditions. Through multiple rounds of screening, comparing the genetic diversity preserving rates to determine a final alternative group, and verifying the effectiveness of the group through t test or a principal coordinate analysis method. According to the method, germplasm resources can be effectively screened, the diversity of the germplasm resources is guaranteed, and powerful support is provided for biodiversity protection and forestry production.

The invention discloses a linkage marker of a haynaldia villosa stripe rust resistance gene and application of the linkage marker. According to the invention, a new stripe rust resistance gene is positioned from artificially synthesized durum wheat-haynaldia villosa didiploid STH55-1 and is named as Yr2VS, two molecular markers InDel411 and InDel1393 which are closely linked with the Yr2VS are obtained, and the genetic distances are 3.4 cM and 2.2 cM respectively. The two molecular markers are co-dominant InDel markers, can accurately identify whether wheat germplasm resources and varieties carry the Yr2VS gene or not and predict whether the wheat germplasm resources and varieties have stripe rust resistance or not, and can be used for molecular marker-assisted selective breeding of the stripe rust resistant gene Yr2VS.

The invention discloses a method, a system and equipment for dividing influenza A virus gene sequence branches, and relates to the technical field of bioinformatics, and the method comprises the following steps: reading an evolutionary tree structure file and a Fasta file input by a user; dividing the evolutionary tree into a plurality of branches according to a set first custom parameter and the gene sequence data of each cotyledon node; verifying the relationship among the branches according to a set second self-defined parameter, and performing branch combination on the branches of which the genetic distances are within a set threshold value; the combined branches are verified; and if the cotyledon nodes which are not allocated exist, allocating the cotyledon nodes which are not allocated to branches which are closest in genetic distance and meet custom parameters, and obtaining a final influenza A virus gene sequence branch division result. By means of the method, targeted evolution branch division is carried out according to the characteristics of the influenza A virus, and the accuracy of the division result is improved.