112 results about "Genetic analysis" patented technology

The invention discloses a tuna pond culture strategy optimization method and system based on meteorological influence analysis, and the method comprises the steps: collecting regional meteorological data and pond culture monitoring data, and constructing a multi-modal pond ecological feature vector; establishing a weather-water body dynamic coupling model by using a space-time diagram neural network, and generating water body situation response prediction information; a breeding regulation and control strategy is made based on the prediction information, and strategy self-adaptive optimization is achieved through real-time monitoring data; evaluating the anti-disaster capability of the tuna after the meteorological influence is finished, screening high-quality germplasm resources by combining genetic analysis, and generating an anti-disaster breeding scheme. According to the method, full-chain optimization from meteorological early warning to culture regulation and control to genetic breeding is achieved, and the climate toughness and economic benefits of tuna pond culture are comprehensively improved.

The invention discloses a rice drought resistance phenotype detection and genetic analysis method based on a phenotypic robot, which is characterized in that rice hyperspectral phenotypic character data is acquired based on the phenotypic robot, and the relative water content RWC of rice is predicted. Through high-frequency data acquisition, RWC (t) based on a time sequence is obtained, RWC (t) curve change characteristic indexes are calculated, the dynamic change process of a rice experiment material in the whole drought experiment period is quantified, the drought resistance index DTI of the rice experiment material is obtained, and the drought resistance of the rice variety is comprehensively evaluated. DTI as a user-defined phenotypic character can be used for whole genome association analysis (GWAS), and a key gene for controlling the drought resistance of rice is excavated. According to the invention, the problems of low efficiency and low flux of traditional rice phenotype detection are solved, phenotype-gene mining based on the mobile robot is realized, and a new way is expanded for improvement of rice genetic breeding.

The invention relates to the technical field of molecular biology, and discloses 74 core molecular marker sets for identifying cold resistance of pennisetum alopecuroides, a primer group, a detection reagent, a kit, a gene chip and application thereof. According to the method, core germplasm resources of pennisetum alopecuroides are systematically collected, and the GWAS population is constructed by utilizing multi-environment (different altitudes) conditions, so that wide genetic and phenotypic variation is fully covered, and a representative material foundation is laid for cold-resistant genetic analysis. In the aspect of phenotype evaluation, a method for determining the number of reviving and root cutting seedlings after natural overwintering by combining single-root double-stem-node oblique cutting planting is innovatively provided, a set of scientific and stable cold resistance and reproducibility evaluation system capable of being operated in a standardized mode is established, and the reliability and efficiency of phenotype identification are remarkably improved. The detection is not influenced by human and climate environments; the method realizes efficient and accurate early cold resistance identification of pennisetum alopecuroides, greatly improves the breeding screening efficiency and scale, and accelerates the breeding process.

The invention belongs to the technical field of molecular biology and plant molecular breeding, and particularly relates to a mustard core SNP molecular marker set and a screening method and application thereof. The invention provides a core SNP marker set (33) which is subjected to whole genome re-sequencing screening and experimental verification and is suitable for mustard germplasm resource identification and genetic analysis for the first time. The marker set is high in polymorphism and good in stability, covers the whole genome and can effectively distinguish different leaf mustard germplasms. By utilizing the core marker set and the matched KASP primer, the genetic typing of the leaf mustard germplasm resources can be quickly and accurately performed with high throughput, and the defects that the traditional morphological identification is time-consuming, labor-consuming and poor in accuracy are overcome. The marker set can be used for analyzing the genetic diversity, the population structure and the phylogenetic relationship of the leaf mustard germplasm resources, and a molecular basis is provided for collection, preservation and evaluation of the germplasm resources and breeding parent matching.

Agentic AI, Contextual AI, and Generative AI systems and methods are provided for quantitative or qualitative patient analytics, blood work analytics, medical image analytics (x-ray, ultrasound, CT Scan, MRI and the like), brain scan analytics, present or historical genetic analytics and the like, to be used to guide, assist or even replace some of these physician functions with improved patient outcomes or with an improved understanding of the source of ailments, the analysis of treatment efficacy or treatment side-effects for individuals or populations of individuals. Genetic information is used to create individualized or population-based analysis, diagnostics, or treatment plans with even better outcomes.

The invention discloses a chip for genome breeding and variety identification of tilapia mossambica. The invention provides a group of SNP (Single Nucleotide Polymorphism) marker combination for tilapia mossambica, which comprises 50000 SNP markers which are respectively SNP1-SNP50000 markers. According to the invention, the SNP marker combination related to economic characters of tilapia mossambica is integrated, representative sites with uniform coverage are selected, a biological probe for site typing is developed, and the site coverage, typing accuracy and GS accuracy of the SNP marker combination are basically consistent with those of re-sequencing; the method can be applied to the aspects of tilapia germplasm resource identification, genetic relationship identification, SNP typing, variety identification, molecular breeding, DNA fingerprint database construction, variety purity detection, germplasm resource genetic analysis, whole genome selective breeding, functional gene positioning, genetic map construction, genetic evolution analysis, whole genome association analysis and the like.

The invention provides a target character prediction method suitable for low-depth sequencing and a whole genome selection model suitable for low-depth sequencing, and relates to the technical field of biology. According to the target character prediction method suitable for low-depth sequencing and the whole-genome selection model provided by the invention, the target character of the to-be-detected sample can be accurately predicted under a limited data volume by combining low-depth whole-genome re-sequencing data with a machine learning technology, and the genome selection efficiency can be improved by matching the two; the time and economic cost of breeding or medical research are reduced, and the method is particularly suitable for large-scale genetic analysis scenes needing rapid iteration.

The application relates to the technical field of molecular biology, and discloses a cold-tolerance identification method of Pennisetum based on a 65-core molecular marker set, a primer group and a gene chip and application thereof. The application collects core germplasm resources of the Pennisetum through a system, and constructs a GWAS population by using multi-environment (different altitudes) conditions, so that a wide genetic background and phenotype variation are fully covered, and a material foundation for genetic analysis of cold tolerance is laid. In the aspect of cold-tolerance phenotype identification, the application innovatively takes the chlorophyll content of leaves and the percentage of green leaves after natural low-temperature stress in autumn and winter fields as the cold-tolerance evaluation indexes, judges individuals with more than 40 excellent allelic variations as high-cold-tolerance varieties, and establishes a rapid and non-destructive phenotype screening method which can be implemented at the seedling stage.

The invention relates to a gene breeding value prediction method and device based on deep learning and a storage medium, and belongs to the technical field of biological information.The method comprises the steps that a target SNP site corresponding to each individual is extracted based on a Bayesian lasso model and phenotype vectors of the individuals; inputting the genotype matrix into a trained prediction model to obtain a predicted gene breeding value output by the prediction model; the KAN convolution model comprises two KAN convolution layers and a KAN linear layer; the KAN convolutional layer is constructed on the basis of the Kolmogorov-Arnod expression theorem. According to the gene breeding value prediction method based on deep learning provided by the invention, the KAN convolutional layer is constructed based on the Kolmogov-Arnod representation theorem, the nonlinear kernel function is adopted to replace the traditional linear function, and the KAN convolution operation is introduced, so that the prediction accuracy of the model is remarkably improved, the complexity of the model is reduced, and the prediction efficiency is improved. The method is suitable for genetic analysis and breeding prediction of complex characters of animals and plants.

The invention discloses a molecular marker closely linked with a thin-skinned muskmelon bacterial fruit blotch resistance gene and application thereof, and belongs to the field of muskmelon disease resistance identification. According to the method, a disease-resistant muskmelon strain and a susceptible muskmelon strain are subjected to interspecific hybridization, genetic analysis is carried out on BFB-resistant characters of muskmelons by utilizing an F2 group, a high-resistance gene pool and a high-susceptibility gene pool are constructed on the basis, and resistance candidate genes of the muskmelons are mined by utilizing a BSA-seq technology and a molecular marker technology. Research results can provide a research basis for disease resistance character gene mining and mechanism research, and the method has important scientific significance for screening and application of muskmelon disease-resistant germplasm resources. The molecular marker KASP988272 is developed according to the genotype difference between candidate gene parents, and the genotype identification accuracy of the molecular marker in an F2 group is as high as 80%. The developed molecular marker closely linked with the bacterial fruit blotch resistant gene is used for rapidly and efficiently identifying the bacterial fruit blotch resistant thin-skinned muskmelon variety, and a technical support is provided for selection of the bacterial fruit blotch resistant thin-skinned muskmelon variety.

This invention describes systems, primers, kits, and methods for detecting microsatellite instabilities in biological samples. Signal data is received from a capillary electrophoresis genetic analysis instrument, wherein the signal data is determined based on the fluorescence of fragments comprising nucleic acid sequences amplified from the biological sample by polymerase chain reaction (PCR). The nucleic acid sequences correspond to multiple different microsatellite loci and are obtained using multiple PCR primers configured to side-join the multiple microsatellite loci of the biological sample. When the PCR primers are combined with the biological sample and subjected to PCR amplification, fluorescently labeled DNA fragments comprising the multiple microsatellite loci are generated. The microsatellite instabilities of the biological sample are classified using the fluorescence data obtained from the multiple fluorescently labeled microsatellite loci.

The present application belongs to the technical field of fish genetic identification, discloses a large yellow croaker wild and domestication population typing identification method based on 10 universal SNPs sites, and specifically discloses a set of SNP molecular markers for identifying large yellow croaker wild and domestication samples. The present application provides a set of SNP molecular markers for identifying large yellow croaker wild and domestication samples. By detecting the SNP molecular markers, the identification of large yellow croaker wild and domestication samples can be realized only by using a multiplex PCR reaction system and SNaPshot typing sequencing. The operation on various genetic analysis instruments can realize automatic typing and identification of large yellow croaker wild samples and large yellow croaker domestication samples. Compared with the current method for identifying large yellow croaker populations, the method is faster, has higher detection flux, and more importantly, has very high accuracy and cumulative exclusion rate.

The application provides a construction method of a humanized keloid mouse model, comprising the following steps: BAC plasmid construction and preparation; superovulation of experimental mice and collection of zygotes; pronuclear microinjection of zygotes; post-injection embryo transplantation; genotype identification; breeding and genetic analysis; and verification of construction results of the humanized immune system by immunohistochemistry and immunofluorescence. In the application, peripheral blood mononuclear cells treated by sCD27 and skin around keloids (homologous cells and tissues) are transplanted into NSG-MHC-DKO immune-deficient mice with overexpression of CD70 genes, so that HLA rejection of different homologous immune cells and tissues can be avoided, the internal microenvironment of keloids and the interaction between the internal microenvironment and the immune system can be restored to the maximum extent, and the influence of immune factors on the occurrence and development of keloids can be realized in vitro. The application first discovers and verifies that the activation of the CD27-CD70 axis can promote the occurrence and development of keloids, and provides a suitable animal model for the research and development of anti-keloid drugs, especially immunotherapy.

The invention discloses application of a GhGDSL102 gene in regulating and controlling the oil content of a plant, and belongs to the technical field of gene engineering. The GhGDSL102 gene is over-expressed in arabidopsis thaliana, the oil content of arabidopsis thaliana seeds is obviously reduced by 13.67%, and oleic acid C18: 1 is obviously reduced by 7.7%. After the GhGDSL102 gene is silenced, the oil content and oleic acid content of the cotton seeds are obviously increased by 9.99% and 7.57%. Meanwhile, three transgenic positive strains are obtained through overexpression of cotton, it is found through measurement of the oil content of cotton seeds that the oil content of the three overexpression strains is remarkably reduced by 11.70%, 9.14% and 19.25% respectively compared with that of a control group, and the oleic acid content is reduced by 5.54%, 7.09% and 6.29% respectively; the cottonseed oil content of the obtained homozygous edited strain is remarkably improved by 19.4%, and the GhGDSL102 is proved to be a gene for negatively regulating the cottonseed oil content.

The invention belongs to the field of crop heredity, and relates to application of a polyphenol oxidase gene. The invention discloses an InDel marker for rice brown glume traits, a regulatory gene and application of the InDel marker and the regulatory gene. Based on a brown glume mutant material in the background of Hunan early indica 42, genetic analysis shows that the mutation is dominant mutation, single-gene control and gene positioning find that the mutant gene is a polyphenol oxidase encoding gene (MSULocus is LOCOs04g53300), and the exon region of the mutant gene is deleted by 6bp (GCGACT), so that the material shows brown glume; the gene is knocked out from a brown glume mutant, and the glume color becomes normal; the method has the advantages that the GCGACTs are used as the raw materials, the GCGACTs are accurately edited in the wild type materials, the corresponding 6bp deletion (GCGACT) materials are obtained, the glumes of the GCGACTs are brown, and new gene resources and methods are provided for quickly and directionally cultivating novel rice materials and rice materials suitable for mechanized seed production of hybrid rice.

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.

This invention belongs to the field of bio-aquaculture technology, specifically relating to SNP loci related to the body color of the leopard-gill spiny perch and their applications. This invention provides SNP loci (16_797851, 13_24322516, and 9_17302939) associated with the body color of the leopard-gill spiny perch. Furthermore, this invention provides a method for mining SNP loci and a method for enhancing the red color of the leopard-gill spiny perch's skin. By employing the HSV color model, the red body color is transformed from a direct sensory representation into a continuous quantitative variable, providing a data foundation for the genetic analysis of body color traits. Based on genome-wide molecular marker screening, genetic markers significantly associated with body color traits are obtained. Combined with the administration of agonists to individuals with genetic advantages, a significant enhancement of the red color of the leopard-gill spiny perch's body surface can be achieved. Therefore, the technical solution of this invention can not only directionally improve the body color trait of the leopard-gill spiny perch and cultivate high-quality new strains with stable body color inheritance, but also promote the development of marine aquaculture and the seed industry.

The application belongs to the technical field of fish genetic identification, and discloses a multi-site identification method for wild large yellow croaker of Lutjanus Russellii based on SNaPshot technology, and specifically discloses a group of SNP molecular markers for identifying wild large yellow croaker of Lutjanus Russellii, wherein by detecting the SNP molecular markers, the identification of wild large yellow croaker of Lutjanus Russellii in wild large yellow croaker samples can be realized only by using a simple multiplex PCR reaction system and SNaPshot typing sequencing. The wild large yellow croaker samples of Lutjanus Russellii can be automatically typed and identified only by operating on various genetic analysis instruments. Compared with the method for identifying wild large yellow croaker of Lutjanus Russellii, the method is more accurate, faster and higher in detection flux, and has higher accuracy and cumulative exclusion rate.

The invention relates to the technical field of molecular genetic breeding, in particular to a molecular marker primer group for identifying the early flowering character of brassica napus and application of the molecular marker primer group, the molecular marker primer group is a group of KASP primers and is used for detecting a single nucleotide polymorphism site in a brassica napus BnCRY2 gene coding region; the single nucleotide polymorphism site is located at the 1259th site of the nucleotide sequence as shown in SEQ ID NO.11, and the basic group of the site is T or C. The molecular marker primer group developed by the invention is high in detection efficiency and accurate in typing, can be used for rapid identification, genetic analysis and molecular marker-assisted breeding of a brassica napus early flowering material, and provides an effective technical support for cultivating a new variety of extremely early-maturing brassica napus.

The invention provides a group epigenetic analysis method and system based on consensus peak recognition, and belongs to the technical field of bioinformatics, and the method comprises the steps: S1, recognizing a consensus peak from a multi-sample peak file based on a position offset threshold and a minimum sample proportion; s2, calculating the coverage depth of a consensus peak based on the segment / read segment to obtain an original peak intensity matrix; s3, eliminating GC preference through GC content inter-partition local correction; s4, performing cross-sample normalization by adopting methods such as DESeq2, TMM and the like; and S5, automatically removing a hidden batch effect by utilizing potential variable analysis. The system correspondingly comprises five functional modules. According to the method, the problems of inconsistent peak coordinates, incomparable signals and large technical deviation interference in multi-sample epigenetic data are solved through an integrated process, full-automatic generation from original data to a high-quality and high-comparability peak intensity matrix is realized, and the analysis efficiency and accuracy of researches on large-scale groups ChIP-seq, ATAC-seq and the like are remarkably improved.

The invention relates to the technical field of food processing and biology, discloses a genetic analysis bear gall body-building wine liver and stomach maintenance and immunity enhancement process, and solves the problems of unstable quality, low component dissolution rate and fuzzy efficacy orientation caused by fluctuation of raw material components and single soaking process in the prior art. Comprising the following steps: carrying out biochemical fingerprint analysis on fresh ursodesoxycholic acid and fructus lycii, and carrying out efficacy typing according to the contents of ursodesoxycholic acid, lycium barbarum polysaccharide, betaine and the like; carrying out targeted bio-enzyme pretreatment on the specific Chinese wolfberry fruits according to the typing result; raw materials of specific types are subjected to efficacy coupling combination, stepped dynamic alcoholysis soaking is adopted, and components with different dissolution characteristics are fully extracted through low-alcohol pre-dissolution and gradient alcohol rising steps; and finally, filtering, harmonizing and alcoholizing. According to the scheme, raw material standardization and process precision are combined, so that the stability of product quality is ensured, the transfer rate of functional components is increased, and liver and stomach nourishing or immunity enhancing products with definite efficacy can be directionally prepared.

This invention application discloses a gene regulating maize kernel development. ZmRH51 This application focuses on the encoded proteins, functional markers, and applications of maize kernel mutants. m223 Using this as the basic material, its heterozygotes were crossed with Zheng 58 (Z58) to construct the F2 segregating population. Phenotypic identification and cytological observation were performed on the progeny segregating population. Controlling populations were obtained through genetic analysis, BSR-seq analysis, and map-based cloning. m223 Genes with mutant phenotypes ZmRH51 This gene is located in the nucleolar region and encodes an RNA helicase belonging to the DEAD-Box gene family. Studies have shown that... ZmRH51 It participates in ribosome assembly and can influence the processing of pre-rRNA in maize kernels; and further mining yields... ZmRH51 The superior allelic variant genotype of this gene in terms of grain thickness can be utilized to improve grain thickness and 100-grain weight, thereby increasing yield. Furthermore, the distribution and utilization potential of different haplotypes in inbred lines were studied, providing technical support and excellent germplasm resources for the utilization of this gene.

Provided herein are methods and associated compositions, kits, systems, devices and instruments useful for genetic analysis where there is / are a sequence(s) similar to the gene of interest in a sample. In the methods, a combined copy number for related genes (e.g., a gene of interest and its pseudogene) can be determined via an assay. In addition, relative amounts of the related genes, i.e., a ratio of the related genes can be determined via the assay. Using the data of the combined copy number and the ratio of the related genes, the genotype of the gene of interest (as well as its pseudogene(s), if desired) can be determined with high accuracy.

The invention relates to a method for screening InDel labeled primers by using transcriptome data and application of the method, and belongs to the technical field of genetics and molecular biology. The invention provides a method for screening an InDel labeled primer by using transcriptome data, which comprises the following steps: (1) acquiring the transcriptome data of a target variety, and carrying out parameter-free assembly to generate a transcript sequence; (2) comparing transcriptome data, detecting InDel variation, and screening out an InDel site; (3) screening transcript fragments according to the InDel site; and (4) designing primers according to transcript fragments, and screening specific primers to obtain InDel labeled primers. The screening method is suitable for genetic analysis and diversity research of the reference-free genome species, is low in cost, wide in applicability and simple and convenient to operate, and provides a basis for molecular marker development of the reference-free genome species.

The invention belongs to the technical field of bioengineering, and particularly relates to a DNA fingerprint spectrum database for identifying stamen choerospondias and application of the DNA fingerprint spectrum database. According to the invention, the genome is subjected to enzyme digestion by using the combined restriction enzyme, and the DNA fragments of 314-394 bp are specifically selected, so that an efficient and stable library building scheme is established. According to the scheme, the development efficiency and quality of the molecular marker are remarkably improved, and a reliable basis is provided for large-scale population genetic analysis. The method can be further used for constructing DNA fingerprint databases of different species and screening core germplasm resources, and provides key technical support for germplasm identification and breeding research.

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 application discloses a quality control method for detecting copy number variation of second-generation whole exome sequencing and application. The quality control method comprises the following steps: obtaining whole exome sequencing data of a sample to be detected, and calculating average sequencing depth of a probe region; matching the average sequencing depth of the sample to be detected with average sequencing depths of reference samples in different batches; if a matching condition is met, selecting corresponding depth reference sample sequencing data, and performing subsequent quality control on the sample to be detected; if the matching condition is not met, the sample to be detected cannot be used for copy number variation analysis; calculating STD and NEDDI of the sample to be detected, and comparing the STD and NEDDI with a quality control model; if the STD and NEDDI are located below a curve of the quality control model, the sample to be detected passes the quality control; otherwise, the sample to be detected does not pass the quality control. The application innovatively performs quality control grading in a data preprocessing stage, judges whether a sample is suitable for copy number abnormal genetic analysis, significantly improves variation detection accuracy and reliability, and provides efficient technical support for clinical practical application.

The invention discloses a detection marker of a corn plant type regulatory gene and application of the detection marker. Belongs to the technical field of molecular breeding. The corn dwarf mutant d16 is subjected to phenotype identification, genetic analysis and gene positioning, and finally, the ZmD16 gene is found to be a new allele of a known gene Br2. According to the mutant, G > T single base mutation occurs at 3533bp at the downstream of a fifth exon ATG in a coding region of a wild type ZmD16 gene. A KASP molecular marker is designed according to a mutation site. A foundation is laid for deeply analyzing a molecular mechanism of a corn plant type, and a new material is provided for breeding application of density-tolerant varieties.

The application provides a missing genotype filling method based on an automatic encoder sample matching, realizes low-cost and accurate filling of missing genotypes, and can provide more accurate genetic data support for various genetic analysis work. In the application, the genotype information value of each sample at each position in the target data file is converted and finally encoded into a one-hot encoding, a training set and a test set are divided, and then a convolutional denoising autoencoder model is constructed. The application uses an automatic preprocessing strategy to segment the sample data set participating in filling, reduces the device memory occupation, so that the user can successfully perform high-precision genotype filling using a low-cost device. The application has high filling precision, simple and reliable model structure, high training efficiency, and has a wide application prospect in the field of genetic sequence analysis, and can be used for subsequent biological whole genome association analysis and whole genome selection work.