50 results about "Mutation rate" patented technology

The invention discloses a horizontal centrifuge real-time PID gain optimization control method based on an improved adaptive genetic algorithm. The method comprises the steps that a chromosome population is defined based on PID gain of a horizontal centrifuge; constructing a first fitness function based on the first index of the horizontal centrifuge, and calculating the fitness of individuals in the chromosome population; and screening parent individuals by using a champion for genetic generation of offspring, obtaining the crossover rate and mutation rate of the individuals based on the fitness of the individuals in the genetic process, repeating the genetic process until convergence, and applying the PID gain corresponding to the current optimal individual to control the horizontal centrifuge. In the process, the parent is screened, and the genetic crossover rate and the mutation rate are adaptively adjusted, so that the PID parameters are converged more quickly, and the robustness is high.

The invention discloses a construction method of a glycogen accumulation disease type 3 (GSD III) zebrafish F0-generation model and application of the model in drug screening, sgRNA combination and Cas9 protein are mixed, the mixture is jointly injected into a single cell stage embryo of wild type zebrafish, and the F0-generation zebrafish model generating diallele mutation is obtained through cultivation. The sgRNA combination comprises a first targeting sequence and a second targeting sequence aiming at the agla gene, and a third targeting sequence and a fourth targeting sequence aiming at the aglb gene. The technical barrier that the construction period of a traditional GSD III zebrafish double-knockout homozygous strain is as long as 6-12 months is broken through, through the screened high-activity sgRNA combination and the adoption of a high-concentration Cas9 protein co-injection strategy in the single cell period, the extremely high biallele mutation rate is achieved in the F0 generation, and the high-concentration Cas9 protein co-injection strategy is adopted in the single cell period. The defects that the traditional F0 generation is high in chimeric degree and unstable in phenotype are effectively overcome.

The invention belongs to the technical field of job shop scheduling, and particularly relates to a self-learning job shop scheduling method meeting waiting time constraint, which comprises the following steps: S0, constructing a job shop scheduling problem model with waiting time constraint; the method comprises the following steps: S1, acquiring job shop scheduling problem data, a configuration algorithm and operation parameters; s2, constructing chromosome individuals, generating chromosomes and initializing a population; s3, calculating the fitness value of each chromosome individual; s4, forming a new generation of population; s5, combining the fitness information of the current population, dynamically selecting a crossover rate Pc through a Q learning algorithm, and performing crossover operation on the population; s6, dynamically determining a mutation rate Pm in the same parameter combination space by using a Q learning algorithm, and performing mutation operation on the crossover progeny to generate an updated population; and S7, judging whether an iteration termination condition is met or not. According to the method, a feasible and near-optimal scheduling scheme can be efficiently generated on the premise of ensuring that the inter-process waiting time constraint is met.

Provided are a method for large-scale synthesis of a long-chain RNA and a method for site-specific modification of the long-chain RNA. The method for large-scale synthesis of a long-chain RNA comprises: designing short RNA fragments and splint DNA fragments; ligating; capping; and removing the splint DNA fragments and other steps. A large number of short RNA fragments and different splint DNA fragments are chemically synthesized, and then the different short RNA fragments are ligated by a biological method so as to form a target long-chain RNA. The product long-chain RNA has a low mutation rate, a plurality of the short RNA fragments can be assembled in a single reaction, and the long-chain RNA can be synthesized at a high throughput so as to fulfill the large-scale production of the long-chain RNA. In addition, by chemical modification of the short RNA fragments, the site-specific modification of the long-chain RNA can be realized.

According to an example aspect of the present invention, there is provided a method for generating a transmission timeline, the method comprising: determining, based on SNP information, SNP evolutionary distance from a reference genome for each sample; determining, based on the SNP information, SNP evolutionary distance between each sample; and generating, based on: the SNP information, the SNP evolutionary distances from the reference genome, the SNP evolutionary distance between the samples, the mutation rate, generation rules and the corresponding timestamps; a dated phylogenetic tree, said tree comprising sample nodes) and non-sample nodes, wherein each sample may correspond to a node, for example.

The application provides a design method and device of a wave-absorbing composite material based on a genetic algorithm, and the method comprises the following steps: based on a plurality of different types of wave-absorbing materials, random coding is performed to obtain a plurality of genetic individuals, and an initial population is formed; the reflectivity of each genetic individual in the population is calculated; the fitness of each genetic individual is evaluated; according to the number of bits corresponding to the data variable in the coding and the current population evolution generation number, the mutation rate of each genetic individual is calculated; the genetic individual with the minimum fitness is retained, and the other genetic individuals are crossed and mutated by using the mutation rate to obtain a new generation population, and the calculation of the reflectivity of each genetic individual in the population is performed on the new generation population, until the termination condition of the genetic algorithm is met, so that the genetic individuals in the new generation population obtained form the wave-absorbing composite material. According to the scheme, the mutation rate can be gradually increased to accelerate the optimization speed under the premise of ensuring the early rapid convergence, and the rapid convergence and rapid optimization of the genetic algorithm are realized.

The application provides a method, device, equipment, medium and program product for determining suspension system parameters. In the method, after obtaining an initial crossover rate, an initial mutation rate and a multi-objective optimization model of a suspension system, an initial population is determined according to a constraint condition of the multi-objective optimization model, and then the multi-objective optimization model is solved according to a non-dominated sorting genetic algorithm, an algorithm parameter dynamic optimization model, the initial population, the initial crossover rate and the initial mutation rate to obtain target suspension system parameters. The algorithm parameter dynamic optimization model is a preselected deep Q network model for determining a crossover rate increment and a mutation rate increment according to state data of the population. In the solving process, the algorithm parameter dynamic optimization model dynamically adjusts the crossover rate and the mutation rate of the non-dominated sorting genetic algorithm according to the state data of the population, which can improve the solving efficiency and thus improve the efficiency of determining the suspension system parameters.

The invention discloses a construction method and application of a kluyveromyces marxianus mutant, and belongs to the field of synthetic biology and molecular biology. According to the method, single-stranded DNA binding protein and cytosine deaminase pmCDA1 are fused, a random base editing system is constructed, and whole-genome efficient C-T / G-A mutation is realized in kluyveromyces marxianus by taking MCM2-7 as a verification target. The system does not need a specific target or an exogenous DNA template, the mutation efficiency is high, the distribution is wide, the mutation rate is improved by 303.1 times compared with that of a control group through optimal combination, and the application potential of kluyveromyces marxianus in industrial production is expanded. The method is combined with an efficient screening system, mutant strains with the intracellular protein expression quantity remarkably improved are screened out, the constructed mutation system is not only suitable for kluyveromyces marxianus cell factory transformation, but also can be popularized to genome evolution of other yeasts or eukaryotic hosts, and a new strategy is provided for industrial microorganism breeding and protein engineering.

The application discloses a plant and animal evaluation method based on a genetic algorithm, and the method comprises the following steps: determining initial genes to be evaluated according to evaluation indexes, and determining a chromosome where the initial genes are located as an initial chromosome; setting a preset mutation rate for a position where each gene on the initial chromosome is located, and increasing the preset mutation rate corresponding to the position where the initial gene is located to obtain a target mutation rate; performing genetic simulation on the initial chromosome according to a preset crossover rate, the preset mutation rate and the target mutation rate to obtain a target chromosome; inputting gene coding of the target chromosome into a preset neural network model; determining an evaluation score of the target chromosome in the preset neural network model; and if the evaluation score is higher than a preset threshold, determining that a gene code corresponding to the evaluation score is a high-quality gene. According to the method, genetic simulation is performed in a directional manner according to a target mutation direction, and the problem that the number of iterations is too large and the target solution is not high-quality in the prior art is solved.

The invention relates to the technical field of strain breeding, in particular to a high-yield beta-glucan Meyrowia guilliermondii strain and application thereof. According to the present invention, the high-yield beta-glucan mutant strain obtained through ARTP mutagenesis has the name of Meyerozyma guilliermondii NCUASD7, has been preserved in Guangdong Microbial Culture Collection Center on November 28, 2025, and has the preservation number of CDMCC NO: 67365; aRTP mutagenesis is high in mutation rate, good in hereditary stability and safer to operate, a large number of mutation libraries can be obtained within a short time, high-throughput primary screening and shake flask secondary screening are conducted through a 24-deep-hole plate, a yeast mutant strain with the high beta-glucan yield capacity is obtained, then subculture is conducted on the high-yield mutant strain, the hereditary stability of the strain is verified, and the high beta-glucan yield is obtained. The mutant strain not only has the characteristic of high yield of beta-glucan, but also can maintain good genetic stability.

The invention discloses a tissue culture method for reducing the somatic variation rate of bamboo reed by adding chitosan oligosaccharide. According to the method, 50-200 mg / L of chitosan oligosaccharide with the specific molecular weight of (3000-5000 Da) is added into a callus induction culture medium, and 1.5 mg / L of 2, 4-D and 0.2 mg / L of 6-BA are combined, so that the variation rate of somatic cells is reduced from 23.7% to 9.8%. The SSR molecular marker and flow cytometry prove that the genetic stability is remarkably improved, and the biomass of the regenerated plant is increased by 15-20%. The method is suitable for large-scale cloning propagation of energy plants.

The invention provides a method for measuring the mutation rate of a sexual reproduction animal whole genome level nucleotide germline. The method comprises the following steps: (1) performing genome sequencing on a to-be-detected species to obtain sequences of all coding proteins of the to-be-detected species; (2) constructing a phylogenetic tree of a to-be-tested species; (3) obtaining the divergence time Tdivergence between the species to be detected and the sibling species; (4) optimizing the phylogenetic tree of the species to be tested; and (5) obtaining the annual germline mutation rate [mu] year of the species to be detected. The principle of the method is as follows: neutral regions or neutral sites are widely distributed in a genome, and mutations generated at the positions are generally not influenced by natural selection; the mutation rate of the germline can be calculated by analyzing the change of the variation frequency of the sites along with time. The method provided by the invention not only is widely applicable to sexual reproduction animal species with obtained genome or transcriptome data, but also is accurate and efficient, fills up the blank of the prior art, and has great significance in theoretical research and practical application of biomedical engineering.

The invention discloses a cancer genome variation prediction system based on multiple genetic operators, relates to the technical field of genetic variation detection, and aims to solve the problems that the traditional cancer genome variation prediction is mainly based on a static mutation rate and a single mutation type, the dynamic balance and nonlinear evolution of a tumor in mutation, selection and clone expansion processes are difficult to accurately reproduce, and the accuracy is poor. According to the cancer genome variation prediction method and the cancer genome variation prediction system, high-fidelity simulation and evolution reconstruction of the cancer genome are realized by fusing a multi-type mutation mechanism, fitness feedback and a polyclonal competition strategy. According to the method, through the synergistic effect of multiple genetic operators and dynamic parameter adjustment, the dynamic balance and nonlinear evolution of the tumor in the mutation, selection and clone expansion process can be accurately reproduced, and then the accuracy of cancer genome variation prediction is improved. The application provides a brand new technical approach for early screening of cancers, variation detection and precise medical treatment.

The present invention provides engineered T7 replisomes that contain one or more modified protein components, and E. coli based orthogonal DNA replication systems that contain such engineered T7 replisomes. Relative to known orthogonal replication systems, the engineered DNA replication systems of the invention are capable of evolving target polynucleotide sequence with enhanced mutation rates.

The invention discloses a double-end modified probe for detecting single nucleotide polymorphism as well as a design method and application of the double-end modified probe, and through the synergistic effect of thio-modification and locked nucleic acid modification and in combination with SNP sites and 3 '-end artificial mutation design, the distinction degree and detection sensitivity of the probe to wild types and mutant types are improved. Experiments show that the probe can detect a mutation proportion as low as 0.1%, the melting temperature difference between a wild type and a mutant type is greater than 4 DEG C, and the probe is suitable for multiple detection of drug-resistant genes or strain identification of pathogenic microorganisms such as mycobacterium tuberculosis and the like.

The purpose of this invention is to provide a method for detecting mutant genes that can comprehensively and without omission measure the mutation rate of genes while suppressing costs. The method for detecting mutant genes of this invention involves performing a base extension reaction using a first pigment group and a second pigment group, respectively. The first pigment group is configured such that one of the bases A and B is not fluorescently labeled, while the other is fluorescently labeled, and GC is fluorescently labeled. The second pigment group is configured such that one of the bases C is not fluorescently labeled, while the other is fluorescently labeled, and AT is fluorescently labeled. Both the first and second pigment groups are configured such that the base extension reaction does not stop at the unlabeled bases but stops at the fluorescently labeled bases (see Figure 6).

The application discloses a DNA polymerase III mutant and application thereof. The mutant contains an amino acid sequence shown in SEQ ID No. 1, and the mutant can be applied to improving the mutation frequency of a host strain genome. In the application, the Escherichia coli is used as a starting strain, a high-efficiency evolution auxiliary plasmid is introduced, and the mutation frequency of the host is improved; combined with competitive pressure directional screening of a tryptophan structural analog 5MT, finally, the Escherichia coli engineering strain with high yield of tryptophan is obtained. The auxiliary plasmid comprises a pBad24 plasmid vector skeleton and an engineered Escherichia coli DNA polymerase III danQ nucleotide fragment. The high-efficiency evolution auxiliary plasmid provided by the application can significantly improve the mutation rate of the host genome, combined with the directional screening of 5MT, the traditional mutagenesis cycle can be greatly shortened, the engineering strain with high yield of tryptophan can be efficiently screened, and the application has important application value.

The invention relates to a base editing system based on I-E type Cas3 and application of the base editing system in saccharomyces cerevisiae gene editing, and belongs to the technical field of gene editing. An I-E type CRISPR system which is wide in editing window and high in mutation rate is developed in saccharomyces cerevisiae, error-prone DNA polymerase from different sources is selected to be fused with Cas3, the error-prone DNA polymerase is fused at the N end of the Cas3, and a fusion body with the highest mutation activity, namely the fusion body of the error-prone DNA polymerase PO1I5M and the Cas3, is obtained through screening. According to the invention, the operable range of the base editor on the saccharomyces cerevisiae genome is widened, multi-site base editing can be realized, and the editing window is wide.

The application belongs to the technical field of aquatic organism breeding, and discloses a method for creating grass carp resistant to hemorrhagic disease by knocking out dhcr7 a gene and application thereof. dhcr7 The method utilizes CRISPR-Cas9 technology to generate an insertion / deletion mutation in a grass carp dhcr7 gene, so that the gene cannot encode a protein or the encoded protein does not have a function. dhcr7 The application first knocks out the innate immune negative regulation gene dhcr7 in grass carp, obtains a F0 generation population with a high mutation rate, and finds that knocking out significantly improves the resistance of grass carp to GCRV-II virus, thereby providing a method and breeding material for breeding grass carp resistant to hemorrhagic disease and having important industrial application value.

The application discloses a construction method of a glycogen storage disease type 3 (GSD III) zebrafish F0 generation model and application thereof in drug screening, mixes sgRNA combinations with Cas9 protein, and jointly injects into single-cell period embryos of wild type zebrafish to cultivate and obtain F0 generation zebrafish models with double allelic mutations. The sgRNA combinations comprise a first targeting sequence and a second targeting sequence for an agla gene, and a third targeting sequence and a fourth targeting sequence for an aglb gene. The application breaks through the technical barrier that a traditional GSD III zebrafish double knockout homozygous strain construction cycle lasts for 6-12 months, through screening of high-activity sgRNA combinations and a high-concentration Cas9 protein co-injection strategy in the single-cell period, the application realizes a very high double allelic mutation rate in the F0 generation, and effectively overcomes the defects of high chimerism and unstable phenotype in the traditional F0 generation.

The invention discloses a genetic marker system containing 31 high-performance autosomal microhaplotypes as well as a detection primer and application thereof, and belongs to the technical field of forensic medicine identification. The genetic marker system comprises 31 loci, namely, mh02ZL-022, mh03ZL-014, mh03ZL-015, mh03ZL-016, mh03ZL-017, mh03ZL-018, mh04ZL-014, mh10ZL-010, mh10ZL-01, mh10ZL-012 and the like, and is characterized in that the molecular weight of the genetic marker system is 8000-9000, and the molecular weight of the genetic marker system is 8000-9000. On the basis of traditional micro-haplotype screening, InDels is incorporated into micro-haplotypes for whole genome screening, and an amplification system of a novel composite genetic marker is constructed. The system has the advantages of short fragment, short amplicon, low mutation rate and the like, is wide in applicability, and has good application potential in individual recognition, genetic relationship analysis and mixed sample detection of forensic detection.

The point mutation rate detection method according to the present invention is used in a multiplex ligation-dependent probe amplification (MLPA) measurement, and includes: a measurement step of measuring at least an intensity SMT among the intensity SMT of a mutation-derived signal as a fluorescence signal emitted from a mutation site of a sample and an intensity SWT of a wild-type derived signal as a fluorescence signal emitted from a site of the sample other than the mutation site, using an electrophoresis device; and a rate calculation step of calculating a rate of the intensity SMT to a reference value having a higher intensity than the SMT. In the point mutation rate detection method, an upper limit of a dynamic range of measurement for the fluorescence signal of the electrophoresis device is equal to or more than a predetermined value.

The invention provides a primer probe composition for detecting Southeast Asia deletion type alpha-thalassemia and application of the primer probe composition, and belongs to the technical field of disease screening. The primer probe composition can be used for detecting samples with the mutation rate as low as 2% and the mutation gene concentration as low as 101 copies / mu L, and is suitable for trace sample analysis. According to the present invention, the Southeast Asia type alpha-thalassemia with the highest carrying rate is adopted as the breakthrough, the total DNA of the non-enriched cervical exfoliated cell sample can be directly extracted, the ddPCR is adopted to perform absolute quantification on the content of the mutant type alpha gene cluster and the wild type alpha gene cluster in the sample, and the ratio is calculated; the purpose of identifying the genotype of fetal thalassemia through an enrichment-free cervical exfoliated cell specimen is achieved by utilizing the proportion. According to the method, indirect inference of the fetal genotype is realized by dynamically analyzing the wild type / deletion type gene proportion and combining the mother genotype.

The application relates to the technical field of radar deployment optimization, in particular to a space radar multi-target planning simulation method and system considering space coverage, which comprises the following steps: determining a simulation characteristic value based on the change trend of the simulation change value of each type of to-be-optimized target under the parent population of any generation and a preset number of generations before the generation, and the number of all types of to-be-optimized targets; determining a comprehensive characteristic value based on the correlation between the number of non-repeated radar parameter groups in the parent population of any generation and the corresponding generation number, and the correlation between the spatial distribution of the parent population and the corresponding generation number; and combining the simulation characteristic value to optimize and adjust the mutation rate to obtain an optimal radar parameter group. The application solves the problem that the traditional genetic algorithm is prone to local convergence in a multi-constraint environment due to the fixed defect of the mutation rate, and improves the global search capability and convergence efficiency of the space radar multi-target planning.

This invention discloses a method and its application for creating stress-resistant mutants of common bean using chemical mutagenesis. The main steps include: determining the screening concentration of hydroxyproline (Hyp), determining the median lethal dose of ethyl methanesulfonate (EMS), and subculturing the stress-resistant mutants. After 3-5 subcultures, the stress-resistant mutants screened by this invention ultimately yielded 31 cotyledonary nodes of common bean resistant to hydroxyproline (Hyp), with a mutation rate of 8.16%. This invention can induce mutagenesis and directionally screen for stress-resistant common bean mutants, providing material support for stress-resistant breeding of common bean.

The invention discloses a propionibacterium mutant strain with high propionic acid tolerance as well as a mutation breeding method and application of the propionibacterium mutant strain, and belongs to the technical field of industrial microorganism breeding. The mutant strain is named as propionibacterium CCTCC M20252200D5-6, the propionic acid tolerance upper limit of the mutant strain reaches 85 g / L, and the propionic acid yield of the mutant strain in a 50 L fermentation tank is 76 g / L and is increased by 25.25% compared with that of a wild strain. The breeding method comprises the following steps: 1) carrying out ARTP mutagenesis (treatment is carried out for 80s, and the fatality rate is 92.2%); 2) adaptive evolution of gradient propionic acid pressure (30-80g / L); (3) carrying out primary screening on a 100g / L propionic acid flat plate; 4) carrying out targeted screening on bacterial colonies with high content of trehalose by virtue of a Raman spectrum (532nm excitation, 850cm <-1 > characteristic peak); 5) fermentation verification; the method solves the problems of low screening efficiency and poor positive mutation rate of traditional breeding, the screening flux reaches 1000 strains per day, the period is shortened to 5 days, and the method can be directly applied to industrial production of propionic acid through a microbial fermentation method and has remarkable economic and environmental benefits.

The application provides a network updating driven adaptive genetic clustering optimization method, device and medium, and belongs to the field of unmanned underwater vehicle cluster cooperative control.The method takes the current position and residual energy of the AUV as input, adopts individual coding composed of cluster head vector I and membership vector M, calculates the relative position change according to the node motion state at each network update, adaptively sets the mutation rate, and performs multi-generation genetic optimization within a single network update.The fitness function comprehensively considers the communication distance, cluster head energy, cluster size uniformity and cluster head energy balance;in the selection stage, the elite reservation and roulette are combined;in the crossover stage, the dynamic crossover rate is adopted with the generation number decreasing;in the mutation stage, the exchange mutation and constraint repair mechanism are adopted;at the same time, the excellent individuals of the last network update are inherited and random individuals are injected, so that the solving efficiency and stability under the dynamic topology are improved.

The application provides a mutagenesis breeding method based on seed island Porphyra and application thereof, and belongs to the technical field of breeding.The mutagenesis breeding method based on seed island Porphyra provided by the application comprises the following steps: selecting immature seed island Porphyra thalli for segmentation to obtain segmented leaves; the segmented leaves are subjected to ARTP mutagenesis, the leaves after mutagenesis are subjected to light-avoiding culture, and then mechanical crushing is performed to 20-40 cell sizes, and then the mutants are screened.The application combines the single spore dissemination technology induced by damage and the ARTP technology, uses the seed island Porphyra thalli as mutagenesis materials for mutagenesis, greatly shortens the mutagenesis period and reduces the workload, has the advantages of high efficiency, high mutation rate and good specificity, and can obtain stable mutants.

The invention belongs to the field of biological medicine and immunology, and particularly relates to a monoclonal antibody of a stable neoepitope of a targeted prostaglandin endoperoxide synthase 1 (PTGS1) protein and application of the monoclonal antibody. Wherein the stable neoantigen epitope is a protein region defined by an amino acid sequence as shown in SEQ ID NO. 1; the stable neoantigen epitope is located at the 271 site to the 282 site of the human PTGS1 protein. The epitope has extremely low mutation rate in people and ovarian cancer tissues, so that high specificity and high stability of the antibody are ensured. Experiments prove that the antibody prepared by the invention has excellent performance in ovarian cancer IHC application, can clearly and remarkably distinguish cancer tissues from normal tissues, and provides a reliable diagnosis basis for pathologists.

The invention relates to the technical field of single cell transcriptomics and microbiomics, in particular to a method for detecting viral load based on single cell transcriptome sequencing, which comprises the following steps: extracting single cell transcriptome sequencing data to form a single cell gene expression matrix, and comparing the single cell gene expression matrix with a host comparison file to extract reading data; dynamically translating the reading data to generate an amino acid sequence; comparing and scoring the amino acid sequence with a virus protein sequence in a virus database, obtaining a weighted comparison value through distance weight correction, and forming a virus sequence-cell matrix by the weighted comparison value and reading data; inputting the virus reading data, the host cell immune response index and the cell type sensitivity score into a cell infection tendency index calculation formula, and obtaining the cell infection probability through a logistic regression model. The technical problem that the sensitivity to RNA viruses with high mutation rate is poor is solved, quantitative estimation of the single cell infection probability is achieved, and the method is suitable for detecting distant viruses or new viruses which are not recorded yet.