44 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.

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 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.

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 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 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 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.

The invention relates to the technical field of virus traceability, and particularly discloses an anomaly identification traceability method based on coronavirus high-throughput detection, comprising 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, constructing a Bayesian network to determine a genetic relationship among the variation sites, and generating a virus haplotype sequence based on the genetic relationship; s6, calculating a genetic distance between the abnormal variation site and the reference database, and deducing a propagation path through a maximum likelihood method; and outputting a traceability report, wherein the traceability report comprises the geographic position and the propagation timeline of the abnormal variation source. A dynamic learning type recognition model is adopted, and continuous optimization of the recognition capability of new variants is ensured through incremental learning mechanism training.

A method for hybridization detection using whole genome resequencing data alone belongs to the field of molecular biology technology. In order to solve the technical problems of high cost, low accuracy and the need for pure parental reference genome information in the existing hybridization detection methods, the present invention provides a method for detecting hybrid individuals based on nuclear mitochondrial DNA resequencing data. The method is based on the whole genome resequencing data of the target individual and the nuclear mitochondrial DNA fragments, and judges the hybridization detection results based on a broken line graph drawn according to the genetic distance data set between the nuclear mitochondrial DNA fragments and their mitochondrial homologous fragments. The hybrid individual detection method provided by the present invention has high accuracy, circumvents the technical difficulties of needing to design genetic markers that are effective for both parents, and does not require the detection of pure parental reference genomes of the target individual, thereby reducing detection costs and expanding the scope of application.

The present application is suitable for the technical field of corn breeding, and particularly relates to a corn heterosis group division method based on marker dominance effect weight, which comprises the following steps: taking 3-4 copies of a representative inbred line of each corn heterosis group, and performing double cross of all the representative corn inbred lines to form a hybrid population; performing genotype identification on the parents of the representative corn inbred lines by using an SNP chip to obtain a contribution value of a single SNP dominance effect to the heterosis of the hybrid population; calculating the heterosis genetic distance and establishing a fingerprint database; obtaining SNP marker information of a to-be-tested corn inbred line, calculating the heterosis genetic distance between the to-be-tested inbred line and the representative inbred lines of the heterosis group, and dividing the class group of the to-be-tested inbred line. The present application greatly improves the breeding efficiency, saves time, manpower, material resources and financial resources, provides a decision basis for breeders, reduces the blindness of assembly and matching, and provides a reference and guidance for crop breeders.

The invention discloses a major QTL (quantitative trait locus) for regulating and controlling rice bacterial leaf blight resistance, a molecular marker and application. Belongs to the technical field of rice breeding and molecular biology. The invention discloses a major QTL (Quantitative Trait Loci) for regulating and controlling the resistance of rice bacterial blight, and the major QTL is named as qBB4.1. The major QTL locus is located on a chromosome 4, the genetic distance of the major QTL locus is 92.86 cM to 97.92 cM, the physical distance of the major QTL locus is 21662809 bp to 22843728 bp, and the LOD value of the major QTL locus is as high as 4.12. The molecular marker comprises Indel bb-1 and Indel bb-2, and the molecular marker comprises Indel bb-1 and Indel bb-2. The molecular marker is applied to breeding of rice with high resistance to bacterial blight, and the breeding efficiency is greatly improved.

The invention relates to a method for temporal calibration of a phylogenetic tree by digital processing, and comprises: - receiving in digital format a set of events dated isolations or transmissions of a pathogenic agent and a set of events to be dated isolations or transmissions of the pathogenic agent, organized in the form of a phylogenetic tree according to an order of traversal from the root to the leaves. Several events have a date to be determined; - forming a Hessian matrix of a logarithmic objective function F of a molecular clock model of the pathogenic agent, defining the relationship between the genetic distances, the dates and the durations between the events, the Hessian matrix H comprising a so-called local block T defining the branches between said events of the phylogenetic tree. The block T has a size proportional to the number of events of the phylogenetic tree whose date is to be determined.;-identify the dates to be determined by a Newton optimization method. Figure to be published with the abstract: Fig. 1.

The invention relates to the technical field of oyster cross breeding, in particular to a COI genetic distance-based crassostrea calthrop hybridization prejudgment and combined configuration method. The method comprises the following steps: collecting COI gene sequences of calthrop oysters and four cultured oyster samples, constructing an allelic point sliding window, and calculating genetic differences by adopting a Kimura-2P distance, so as to obtain a refined COI genetic distance index; establishing a COI heredity-hybridization advantage regression model by combining historical hybridization survival data, heredity variation data and disturbance factors, introducing a multi-dimensional threshold structure based on genetic distance, and performing regression pre-judgment of threshold logic regulation and control on the hybridization advantage; on the basis, a COI genetic distance matrix is constructed, intraspecific fertility analysis and character complementation inference are coupled, and optimization and combined configuration of cross parents are achieved. Quantitative prediction of the hybridization advantage can be achieved before hybridization, the breeding period is shortened, the hybridization test cost is reduced, and the accuracy of breeding hybridization auxiliary decision making is remarkably improved.

The present invention provides a plant invasion risk assessment method, device, equipment, storage medium and product. The method comprises: determining the genetic distance between an ITS sequence of a plant to be assessed and an ITS sequence of a target sample; obtaining a target climate factor of the plant to be assessed; inputting the target climate factor of the plant to be assessed into a maximum information entropy model, and obtaining a potential suitable zone prediction result of the plant to be assessed at the location to be assessed output by the maximum information entropy model; determining the invasive risk of the plant to be assessed based on the genetic distance and the potential suitable zone prediction result, thereby using the target climate factor as a model input parameter, reducing the error between the result output by the model and the actual result, and calculating the genetic distance through the ITS sequence of the target sample belonging to the same genus as the plant to be assessed, thereby achieving a more rapid and effective determination of the invasive risk of the plant to be assessed.

The application discloses a kind of phenotypic data visualization analysis method and system of potato germplasm resources, it is related to agricultural information technology and data visualization technical field.The multidimensional dataset containing variety identification, multi-time point phenotypic trait value, environmental factor parameter and genetic distance is obtained;Variety is mapped to the first dimension axis of three-dimensional space based on genetic distance;Multi-phenotypic trait is weighted and projected to the second dimension axis;Time and environmental factor are complexly weighted and mapped to the third dimension axis;The control point of each variety in three-dimensional space is generated, and the phenotypic development trajectory curve is generated using spline interpolation;Three-dimensional space and trajectory curve are rendered to display device and provide interactive interface.Can simultaneously integrate four-dimensional information of genetic background, multi-phenotypic trait performance, time dynamics and environmental response, realize the dynamic visualization of phenotypic development process and the automatic identification of abnormal variety, significantly improve the analysis efficiency and cognitive intuitiveness of potato germplasm resources.

The rate of evolution may be estimated for any length of genomic fragments (or amino acid sequences) from a single codon (or amino acid position) to the entire genome or protein. Under the condition that a target genome reference sequence at initial time and each genome specific sequence of one or more target strains within a certain time period after the initial time are given, some genome fragments can be selected; a genetic differentiation parameter for a reference sequence fragment may then be calculated based on the genetic distance between the fragment and a corresponding fragment in each strain-specific sequence. Based on the genetic differentiation parameters, the evolution rate or evolution stability parameter of the fragment may be calculated and applied to the design of antiviral therapy or antiviral vaccines and / or the estimation of tumor growth.