89 results about "Population genetics" patented technology

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to calving interval traits of dairy cows and application of the SNP molecular marker. The number of the SNP molecular markers is four, and the nucleotide sequences of the four markers are as shown in SEQ ID NO.1-4. Researches find that the four SNP molecular markers are significantly related to the Chinese Holstein cattle calving interval traits, and can be used for molecular marker-assisted breeding of the Chinese Holstein cattle calving interval traits to accelerate breeding of Chinese Holstein cattle with strong fecundity. The SNP molecular marker is used for identifying the calving interval character of the Chinese Holstein cattle, the four SNP loci are detected in actual breeding, seed selection and matching are guided, the breeding efficiency is improved, the non-pregnant period is shortened, the production performance of the dairy cattle can be comprehensively improved, the breeding strategy can be optimized, and the population genetic progress can be accelerated.

The invention discloses a polar region environment-oriented two-stage micro-siting optimization method for a wind generating set, and relates to the technical field of polar region renewable energy planning and wind power generation, the optimization method comprises the following steps: polar region environment parameter initialization and scene modeling; the first stage is grid primary selection based on mixed integer linear programming; the second stage is coordinate refinement based on a multi-population genetic algorithm; and scheme output and efficiency evaluation. According to the method, a sector reweighting mechanism of extremely cold correction parameters is realized through reweighting of biochemical parameters and scenes in an environment special for a polar region, the extremely cold correction parameters are directly embedded into a wind regime scene set and a power model, and the problem that a conventional land model can obviously underestimate or overestimate single-machine power and wake flow propagation distance under extremely low temperature and low roughness conditions, so that the reliability of the model is improved is solved. Therefore, the power prediction and wake flow loss evaluation are more practical under the polar region conditions such as the south pole, so that the engineering reliability of site selection decision and the accuracy of generating capacity prediction are improved.

The invention discloses a compression and decompression method based on generic genome expression, and relates to the technical field of compression and decompression of DNA next-generation sequencing data, in particular to the compression and decompression method based on generic genome expression. The method aims at solving the problems that in the prior art, the capacity of processing population genetic diversity is insufficient, original sequencing quality information cannot be effectively restored during decompression, and memory occupation is too high during large-scale data processing. Obtaining a to-be-compressed sequencing sequence data file, a reference genome sequence and a thousand-person genome variation sample; obtaining a haplotype list, a variation list and a haplotype offset list corresponding to each window block; storing the window number, the haplotype number, the haplotype offset, the head and tail unmatched sequences, the current sequence name and the quality score character string into a single compression block; carrying out binding storage; completing the compression processing of the mass fraction; and obtaining each to-be-compressed sequencing sequence based on the result of the compressed part.

The invention provides an AISPN marker combination and a multi-dimensional ancestral and geographic inference model, and relates to the technical field of forensic medicine. According to the method, firstly, seven groups of ancestral inference SNP (Single Nucleotide Polymorphism) sites (AISNPs, AISNPs) of East Asia and Southeast Asia crowds are screened, the screened sites are respectively subjected to efficiency evaluation based on principal component analysis, ADMIXTURE and t-SNE methods, and a set of multi-dimensional ancestral and geographic source inference model is constructed in combination with six different machine learning methods. The AISPN marker combination provided by the invention comprises at least 50 AISPN sites, has relatively high differentiation in East Asia and Southeast Asia crowds, can distinguish nine crowds based on relatively few sites, provides site information for preparation of kits, and provides valuable information for research of forensic medicine, anthropology and population genetics.

The invention discloses 36 pairs of polymorphic primers and 84 pairs of SNP molecular markers used for amplifying the swallow aculeatus, and an application of the polymorphic primers in genetic diversity analysis of the swallow aculeatus, and particularly discloses an application of the polymorphic primers in the genetic diversity analysis of the swallow aculeatus and application of the polymorphic primers in the genetic diversity analysis of the swallow aculeatus, the number of the polymorphic primers is 36, and the number of the swallow aculeatus SNP molecular markers used for amplifying the 36 pairs of the primers is 84. According to the invention, the SNP molecular markers with abundant polymorphism are established on the swallow-wing fish in batches for the first time, 36 pairs of polymorphic primers are screened out, and an efficient analysis technical tool is provided for research on genetic diversity, family identification, population genetic structure, genetic breeding, enhancement and release and the like of the swallow-wing fish; the method for developing the SNP marker is simple, convenient, rapid and efficient, and manpower and cost are saved.

This invention discloses a goose double-enzyme digestion simplified genome sequencing library construction kit, library construction method, and application. The kit includes Kit A, Kit B, and Kit C, and magnetic beads. The invention uses two conventional endonucleases to control the location and number of target fragments, and uses improved enrichment primers to significantly increase the number of library pools for GBS sequencing. This leverages the large amount of NGS data and makes goose population genetics research more feasible. In theory, this library construction strategy can exponentially increase the number of individuals to be tested simply by modifying the corresponding adapter and index sequences.

This invention discloses an artificial intelligence-based method and system for predicting and intelligently replenishing SPD consumable demand, belonging to the field of medical consumable supply chain management technology. It obtains key influencing factors of SPD consumables by clustering analysis of historical SPD consumable demand correlation data and identifying influencing factors. Furthermore, through the acquisition and training of an initial SPD consumable demand prediction model, an accurate SPD consumable demand prediction model is obtained. This model is then used to predict real-time SPD consumable demand correlation data, outputting SPD consumable demand prediction results that better match actual needs and applications. In addition, the replenishment objective function is iteratively optimized using a multi-population genetic algorithm to obtain optimal SPD control parameters, thereby automating the generation of intelligent replenishment strategies.

The invention discloses an SSR (Simple Sequence Repeat) primer composition for evaluating genetic diversity of channel catfish breeding population and an application method of the SSR primer composition, and belongs to the technical field of fish genetic breeding. The method comprises the following steps: modifying 5'ends of forward primers of the primers by using FAM fluorophores respectively, amplifying genome DNA of each breeding group by using the 10 pairs of microsatellite site primers respectively, analyzing amplification products, reading genotypes, analyzing parameters, and determining the genotype of the breeding group. The analysis result is used for evaluating the population polymorphism, the variation condition of the population genetic structure and the genetic differentiation degree among the populations. By applying the evaluation method disclosed by the invention, the population genetic diversity and genetic structure of continuous breeding generations of channel catfish can be systematically evaluated. The SSR primer and the genetic diversity evaluation method can be used for genetic improvement and new variety breeding of channel catfish.

The invention belongs to the technical field of molecular biology, and relates to an SNP (Single Nucleotide Polymorphism) molecular marker related to peak daily milk quantity traits of dairy cows and application. Mainly discloses five SNP (Single Nucleotide Polymorphism) molecular markers (SEQ ID NO.1-5) which are obviously related to the peak daily milk quantity character of the Chinese Holstein cattle. Whole genome association analysis and identification show that the markers can be used for molecular marker-assisted breeding of Chinese Holstein cattle. The five SNP loci are detected in actual breeding, seed selection and matching can be guided, the breeding strategy is optimized, and the population genetic progress is accelerated. The traditional breeding bottleneck is broken through, the seed selection accuracy and efficiency are remarkably improved, the genetic improvement process of high-yield cows is accelerated, and milk enterprises are assisted to improve economic benefits.

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 provides a primer group, a kit and a detection method for individual identification of treponema pallidum, the primer group comprises 12 pairs of primers with nucleotide sequences respectively corresponding to SEQ ID NO.1-SEQ ID NO.24. The invention provides a specific DNA fingerprint spectrum of treponema pallidum strains formed by 12 loci, a variable number tandem repeat sequence (microsatellite sequence) of a genome is analyzed, and the specific DNA fingerprint spectrum of the treponema pallidum strains is obtained. The method is used for realizing individual identification of treponema pallidum strains. The primer group provided by the invention has high sensitivity, accuracy and specificity, and the detection method based on the primer group can carry out individual identification, genetic identification and genetic typing analysis at the same time, and has wide application prospects in the fields of population genetics and the like.

The application provides an analysis method for complex evolutionary history based on deep learning, comprising: according to a preset species evolutionary history simulation sequence data, respectively as a model training set and a test set; determining the topological structure of the training set data, and labeling the training data in different topological structure proportions; constructing a convolutional neural network, training and testing the convolutional neural network with the data set, so that the error between the data prediction value and the label value is minimized; based on the trained convolutional neural network, analyzing real genomic sequence data, and combining other population genetics analysis methods, determining the evolutionary relationship and introgression site between different biological groups. The application uses comparative genome or population genome data, infers the topological structure between sequences through a deep learning algorithm, further evaluates the evolutionary relationship at the genome level, and identifies local introgression signals through the difference of the topological structure between different regions.

The invention belongs to the technical field of molecular markers, and particularly relates to a group of SNP (Single Nucleotide Polymorphism) molecular markers for genetic analysis of hypoxia genes of Himalayan marmots and application of the SNP molecular markers. The SNP molecular marker comprises one or more than two of 11 SNP loci which are all located in an amplified fragment of a Himalayan marmot EPO gene with a nucleotide sequence as shown in SEQ ID NO.1, molecular technical support is provided for Himalayan marmot population genetics research, and the SNP molecular marker can be used for research on Himalayan marmot hypoxia adaptation, population evolution and the like. Moreover, the invention also provides a primer pair capable of identifying the SNP molecular marker, the primer pair can perform specific amplification on Himalayan marmot EPO hypoxia gene sequences of different geographical populations, has high polymorphism, can be applied to the research fields of Himalayan marmot environmental adaptation, genetic diversity, pedigree geography and the like, and has wide application prospects.

The present disclosure discloses a method for reconstructing the working face of coal mine based on search space pruning and multi-population dynamic adjustment, which involves the technical field of working face reconstruction of coal mine under incomplete projection conditions, comprising: based on prior knowledge of the working face reconstruction model structure, an initial grid partitioning of the exploration area is performed. Subsequently, multi-scale grid partitioning is achieved through search space pruning, guided by the sum of ray intercepts within each grid unit; to meet the requirements of population diversity and rapid convergence in the multi-population genetic algorithm, a multi-scale reconstruction objective function is constructed based on the partitioned multi-scale grids, this objective function is then solved using a dynamic multi-population genetic algorithm. Therefore, the above-mentioned method for reconstructing the working face of coal mine based on search space pruning and multi-population dynamic adjustment may dynamically adjust and optimize the number of populations, to ensure that the diversity of populations may be maintained, and the search efficiency may be improved, thereby improving the stability and convergence speed of the working face reconstruction operation.

The application discloses a water surface platform combat force generation method based on natural language processing and intelligent optimization algorithm, relates to the field of natural language processing, and combines intelligent search algorithms with optimization strategies, adopts an improved multi-population genetic algorithm, that is, utilizes multiple populations to perform parallel optimization search, and realizes diversified search strategies by assigning different control parameters to different populations; information exchange is performed between various populations through a migration operator, collaborative evolution is promoted, and convergence is judged by reserving optimal individuals of each generation and using the optimal individuals to maintain generation number, so that correctness and global optimality of a final solution are ensured. The application improves the quality and response speed of combat decision.

The present application relates to the field of biotechnology, and more particularly to a detection method for resistance of tilapia to streptococcosis, a KASP primer set and application. The present application identifies a key SNP site of the ABCB4 gene significantly associated with resistance of tilapia to streptococcosis by the method of population genetics, and develops a genotyping method for the SNP site by KASP technology, thereby realizing efficient evaluation of the disease-resistant trait. Experimental data show that the survival time of AA genotype individuals in the challenge test is longer than that of GA / GG genotype individuals, the proportion of resistant fish is significantly improved, and the genotype frequency distribution is strongly correlated with the disease resistance of the population. The breeding strategy based on the SNP marker can improve the overall disease resistance of the breeding population and reduce the mortality rate, thereby providing an efficient genetic improvement tool for breeding of tilapia resistant to streptococcosis, and helping to reduce the loss of breeding diseases and reduce the dependence on antibiotics.

The application is a mechanical system reliability analysis method based on multi-population genetic optimization response surface, and belongs to the technical field of mechanical system reliability analysis and design. In order to solve the problems of high calculation cost or large calculation result error of the existing response surface model, the method comprises the following steps: converting the response surface cross term combination into a binary vector and a decimal number, setting the initial parameters and the iteration number of the multi-population genetic algorithm, sampling to generate a test sample set, a verification sample set and initial population individuals, taking the prediction error rate of the test sample set as a dynamic constraint condition, combining a cost function and a comprehensive index of the prediction error rate to establish an optimization objective function, iteratively optimizing the optimization objective function to obtain an optimal cross term combination, then obtaining an optimal cross term polynomial response surface model, calculating the failure probability and the confidence interval by using the optimal cross term polynomial response surface model, and obtaining the reliability analysis result of the mechanical system. The method considers the calculation cost and fitting accuracy, and ensures the reliability evaluation of the mechanical system.

The application discloses a kind of integrated hybrid information purebred genome prediction method, belong to animal genetic breeding and propagation technical field.The population genetic dataset comprising purebred population A, B and hybrid population CB is constructed, and the population genetic differentiation is verified by principal component analysis and genetic differentiation index;After the genotypes of purebred and hybrid population CB are phased, the ancestral information inference method is used to determine the origin information of each allele and process missing sites;Based on the origin information of allele, additive effect partial kinship correlation matrix and dominant effect partial kinship correlation matrix are constructed;The above matrix is integrated into three-trait mixed linear model, forming the prediction model that simultaneously incorporates purebred and hybrid population genetic information;The application distinguishes the breed origin of allele and quantifies its additive and dominant effect, significantly improves the prediction accuracy of purebred genome breeding value, is suitable for the traits difficult to directly determine in purebred population, and provides reliable technical support for animal breeding.

The present invention discloses a method for analyzing the selective breeding effects of corn by integrating population genetics and deep learning. The method collects corn germplasm resource data, including phenotypic data, genotypic data and environmental data; standardizes the phenotypic data and fills in missing values, and calculates population genetic parameters, including allele frequency, linkage disequilibrium and population structure stability; uses a deep learning model to perform association analysis between the population genetic parameters and the phenotypic data, uses the trained model to predict the phenotypic values ​​of candidate parents, calculates the breeding index in combination with the population genetic parameters, and provides guidance for corn breeding decisions based on the prediction results. The present invention achieves accurate prediction and evaluation of the selective breeding effects of corn by organically combining deep learning technology with the principles of population genetics, thereby improving breeding efficiency and providing a new technical path for corn variety improvement.

The invention discloses an application of an SNP (Single Nucleotide Polymorphism) site CLA25328 and a detection primer pair of the SNP site CLA25328 in identifying clematis hispida. The SNP site CLA25328 is located at the 182nd site of SEQ ID NO: 1, the polymorphism of the SNP site is C / T, and two genotypes of CC and TT coexist. The detection primer pair is composed of DNA molecules as shown in SEQ ID NO: 2 and SEQ ID NO: 3. PCR amplification and first-generation sequencing are carried out on genomic DNA of 15 clematis plants by adopting the primer pair, and it is found that only clematis angulata is of a TT genotype, and the other clematis plants are of a CC genotype. Therefore, the clematis hispida and other 14 clematis plants can be effectively distinguished by utilizing the SNP site and the detection primer pair provided by the invention. The method disclosed by the invention plays an important role in resource census, efficient evaluation of population genetic diversity and rapid identification of a seedling stage of clematis hispida.

The invention belongs to the technical field of biomolecular markers, and particularly relates to a microsatellite marker for evaluating genetic diversity of metapenaeus ensis as well as a primer pair combination and application of the microsatellite marker. By extracting genomes from different metapenaeus ensis populations, developing 10 microsatellite markers through transcriptome data and designing corresponding primer pair combinations, the microsatellite markers provided by the invention have the characteristics of stable PCR amplification result, high polymorphism and the like, can be used for researching diversity, population genetic structures, evolution, genetic relationships and the like of metapenaeus ensis, and have a wide application prospect. The method is used for evaluating genetic structures and polymorphisms of metapenaeus ensis in different areas and different populations, provides a theoretical basis for parent shrimp breeding work and resource protection of the metapenaeus ensis, and has a good application value.

The invention discloses an SNP (Single Nucleotide Polymorphism) marker primer pair for distinguishing mandarin fish groups in Heilongjiang and Beijing water systems, a kit, application and a method. According to the invention, an SNP (Single Nucleotide Polymorphism) marker is found, the site is lgr4p.D874V and is located at the base 14537718 of a chromosome 1, and the base mutation type is T / A; different genotypes are shown in the two groups, and group verification shows that the site has remarkable group genetic differentiation characteristics and can be used as an effective molecular marker for subsequent group identification. On the basis, the invention also discloses a primer pair of the SNP marker, a kit containing the primer pair, and application of the SNP marker in molecular traceability, germplasm resource identification or population genetic characteristic analysis of a mandarin fish population. The invention further discloses a method for distinguishing siniperca chuatsi group sources in Heilongjiang and Beijing water systems and a molecular monitoring method for siniperca chuatsi local germplasm resources. The method can quickly and accurately identify the population source of the mandarin fish, judge the genetic background and guide the germplasm resource protection and improved variety breeding of the mandarin fish.

The present disclosure provides a combination of single sequence repeat (SSR) molecular marker for Procapra przewalskii, a primer combination, a kit, and use, and relates to the technical field of molecular biology. In the present disclosure, design of SSR primers and screening of SSR loci are conducted based on a whole-genome sequencing data of Procapra przewalskii. 26 pairs of obtained SSR primers can stably amplify a target product, and are highly polymorphic, and can be used for population genetic diversity detection, population genetic structure analysis, evolution, and kinship research of the Procapra przewalskii. A combination of polymorphic SSR molecular marker of Procapra przewalskii selected can be used for individual identification of the Procapra przewalskii with a high accuracy. The experimental results show that the combination of SSR molecular marker of Procapra przewalskii can meet the needs of individual identification.

The invention belongs to the technical field of molecular genetics and biology, and particularly relates to a cynomolgus monkey specific SNP site combination, a liquid chip and application of the cynomolgus monkey specific SNP site combination in individual recognition and paternity identification. The invention provides a combination of 1508 specific SNP (Single Nucleotide Polymorphism) sites of cynomolgus monkeys with high polymorphism. By utilizing the site combination, the invention further develops a high-throughput liquid phase chip which is suitable for efficient genetic analysis of cynomolgus monkeys. Experiments prove that when the liquid chip is used for detecting 383 cynomolgus monkey samples from three different groups, the average site detection rate reaches 99.47%, the recorded parent-child relationship can be accurately restored, and it is proved that the site combination and the liquid chip have extremely high accuracy and reliability in paternity identification. According to the technical scheme provided by the invention, the genetic detection efficiency and identification accuracy of the cynomolgus monkeys can be remarkably improved, and a powerful technical tool is provided for scientific breeding management, population genetic structure optimization and genetic resource protection of the cynomolgus monkeys.

The invention belongs to the technical field of biology, and discloses a plateau dairy cow liquid phase breeding chip and application thereof, and detection objects of the liquid phase chip comprise 75939 SNP sites positioned on a common cow reference genome AR-UCD 1.2. The liquid chip provided by the invention can ensure comprehensive coverage and genetic information representativeness of bovine genomes, and provides a reliable basis for subsequent molecular identification, population structure analysis and molecular breeding application. The gene not only has population genetic polymorphism, but also covers a gene functional region and a non-functional region. Practicality and representativeness of the chip are guaranteed, stability and functional correlation of genetic markers can be considered, and a reliable tool is provided for molecular breeding and genetic improvement.

The invention discloses a human haplogroup hierarchical tracking and macro haplogroup normalization method, and relates to the field of group genetics and bioinformatics software methods. Comprising the following steps: establishing an adjacency list data structure based on an authoritative phylogenetic tree; constructing a synonym normalization dictionary for processing the heterogeneity problem of haplogroup naming; a hierarchical path backtracking algorithm is realized, backtracking is performed from a target haplogroup node to a root node based on a depth-first search principle, a complete evolutionary path is generated, the hierarchical path backtracking algorithm comprises a path integrity verification mechanism, a broken path or a circular reference error is automatically detected and reported, and the biological rationality of the generated path is ensured; a path output interface is provided, and a positive-sequence path representation mode and a negative-sequence path representation mode are supported. The method has the advantages of being high in standardization degree, high in automation level, high in reproducibility, good in universality and good in user experience.

The application relates to a method for evaluating meat quality traits of Sichuan yak. Two SNP sites of g.40461124A>G and g.40460948A>C are found in the IFI47 gene of the Sichuan yak, and population genetic analysis shows that the two SNP sites are low polymorphism. Association analysis proves that the two sites are significantly associated with postmortem pH (affecting tenderness and water holding capacity) and backfat thickness, two key meat quality traits of the Sichuan yak. Important basis is provided for early selection and genetic improvement of the meat quality traits of the Sichuan yak.

The invention relates to a penaeus chinensis 40K liquid phase chip, a probe combination and application thereof, and belongs to the technical field of aquatic molecular breeding biology. The liquid-phase chip comprises probes corresponding to 40 and 803 SNP (Single Nucleotide Polymorphism) loci, and the loci are uniformly distributed on a reference genome ASM1920278v2, are comprehensive in coverage and good in polymorphism, and are particularly closely related to key characters such as growth, stress resistance and disease resistance. Various application requirements of molecular identification, genome selection, functional gene research and the like of the Chinese prawns can be met at the same time, and the method can be used for germplasm resource evaluation and variety identification, population genetic structure research and protection, genome selective breeding, whole genome association analysis, candidate gene mining and the like.

The invention relates to a gracilaria cpSSR (simple sequence repeat) marker primer combination and application thereof. The SSR molecular marker primer combination comprises the following five pairs of primer combinations: CpSSR-6-451, CpSSR-11-97, CpSSR-11-485, CpSSR-10-162 and CpSSR-12-86. The gracilaria cpSSR marker primer combination provided by the invention has the beneficial effects that a group of SSR loci with high polymorphism and high resolution and specific primers thereof are screened from chloroplast genomes, so that the resolving power and stability of the existing molecular marker are remarkably improved; the marker combination can provide objective and accurate identification basis for gracilaria species from genetic essence, effectively distinguish species with similar forms, solve the problem of difficult identification of traditional methods, can be used for gracilaria DNA fingerprint spectrum construction, germplasm resource identification, genetic relationship analysis and population genetic diversity research, and has wide application prospects. And a reliable technical means is provided for protection, development and improved variety breeding of gracilaria germplasm resources.

The application discloses a coal mine working face reconstruction method based on search space pruning and multi-population dynamic adjustment, relates to the technical field of coal mine working face reconstruction under incomplete projection conditions, and comprises prior knowledge based on a working face reconstruction model structure, preliminary grid division of a working face exploration area, and multi-scale grid division through search space pruning according to the sum of ray intercepts in each network; on the basis of considering the population diversity and fast convergence requirements of a multi-population genetic algorithm, a multi-scale reconstruction objective function is constructed based on the divided multi-scale grid, and is solved through a dynamic multi-population genetic algorithm. Therefore, the coal mine working face reconstruction method based on search space pruning and multi-population dynamic adjustment can dynamically adjust and optimize the number of populations, so that the diversity of the population can be maintained, the search efficiency is improved, and the stability and convergence speed of working face reconstruction operation are improved.