74 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 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.

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.

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 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.

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 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.

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 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 discloses a rock cross-cut rubidium deposit rubidium occurrence state and deposit cause analysis method and device and a medium, and belongs to the technical field of deposit cause analysis. A first strain mode sample and a second strain mode sample are distinguished based on divergence characteristics of strain space distribution, and a first-class rubidium occurrence horizon and a first-class enrichment mechanism are judged by utilizing a space lag relationship between an isotope fractionation peak position and a strain peak position; and judging a second-class rubidium occurrence layer and a second-class enrichment mechanism according to a rubidium concentration gradient mutation position around the fluid inclusion, and coupling an enrichment direction of a sample scale with a fracture structure or a permeable stratum to delineate a mineralization area. According to the method, the lattice position quantitative judgment of the rubidium occurrence state, the dynamic process distinguishing of the mineralization mechanism and the geologic structure constraint delineation of the mineralization area are realized.

This invention discloses a molecular marker closely linked to a wheat spikelet number QTL and its application, belonging to the fields of molecular biology and crop genetics and breeding technology. This invention discloses for the first time the wheat spikelet number QTL QSNS.sicau-D12-3B, located on the long arm of wheat chromosome 3B, which can significantly increase the number of wheat spikelets. This invention also discloses the molecular marker KASP-3B-1, which is closely linked to the wheat spikelet number QTL. This molecular marker can be used to rapidly screen plants possessing the wheat spikelet number QTL, thereby facilitating molecular-assisted breeding of high-yielding wheat, improving breeding efficiency, and providing a theoretical basis and technical support for genetic analysis of wheat spikelet number.

The application discloses a plant core related gene and application thereof, and belongs to the technical field of plant genetic engineering and vegetable molecular breeding. RsERF013 Through complete genetic analysis, transcriptome and metabolome sequencing analysis, subcellular localization and transgenic strain construction, the relationship between the core related gene and the occurrence, development and RsERF013 metabolic mechanism of the radish core phenotype is clarified 。 The core related gene provided by the application RsERF013 can be widely applied to the fields of phenotype identification, breeding detection and model construction.

The application provides a method and device for analyzing the genetic basis of cotton plant type, equipment and storage medium, relating to the technical field of plant type genetic analysis. The method comprises: obtaining three-dimensional information of a cotton plant. Based on the three-dimensional information, initial plant type data of the cotton plant is extracted. The initial plant type data is optimized using a machine learning model to obtain plant type phenotype data. The plant type phenotype data is combined with genotype data corresponding to the cotton plant to perform whole genome association analysis and locate candidate genes related to plant type. The method is used to improve the efficiency and accuracy of genetic basis analysis of cotton plant type.

Provided herein is a method of isolating fetal cells from a sample from a pregnant subject. The method utilizes magnetic particles conjugated to anti-EGFR or a combination of anti-EGFR and anti-CD105 antibodies to create an enriched sample and then labeled antibodies for fetal cell markers to isolate different fetal cell types in the sample from the pregnant subject. Said isolated fetal cells can then be analyzed via gene sequencing or genomic or genetic analysis.

The application relates to a gene SDR1 for adjusting plant height. The nucleotide sequence of the SDR1 gene is shown in the nucleotide sequence of SEQ ID NO:1 or SEQ ID NO:2, and one or more nucleotides are added, replaced, inserted or deleted to generate a mutant, allele or derivative. Through phenotype analysis, genetic analysis, gene cloning and expression analysis of the dwarf mutant screened, it is determined that the gene is involved in the regulation of rice plant height development, and a foundation is laid for further analyzing the molecular regulation network of rice stem development. The gene SDR1 has a significant effect on further adjustment of the dwarf rice plant height, and therefore has an important influence on optimization of the dwarf rice plant type.

The invention belongs to the technical field of biological culture, and particularly relates to an SNP site related to the body color of plectropomus leopardus and application of the SNP site. The invention provides SNP (Single Nucleotide Polymorphism) sites (16797851, 1324322516 and 917302939) related to the body color of the plectropomus leopardus, and the SNP sites are related to the body color of the plectropomus leopardus. In addition, the invention further provides a digging method of the SNP sites and a method for improving the red color of the skin of the plectropomus leopardus. By adopting an HSV color mode, a red body surface color is converted from visual sensory representation to continuous quantitative variables, and a data basis is provided for genetic analysis of body color traits; based on whole genome level molecular marker screening, a genetic marker significantly associated with the body color character is obtained, and a gene dominant individual is fed with an agonist, so that the body surface red color of the plectropomus leopardus can be significantly improved. Therefore, according to the technical scheme, the body color character of the plectropomus leopardus can be directionally improved, a high-quality new strain with stable inheritance of the body color can be cultivated, and the development of the mariculture industry and the breeding industry can be promoted.

The invention belongs to the field of cassava molecular markers, and particularly relates to a cassava KASP marker and application of the cassava KASP marker in cassava variety distinguishing. The 27 KASP markers provided by the invention have good distinguishing ability in cassava genetic analysis, and can effectively reveal genetic differences among different materials. The DNA fingerprint spectrum of 184 parts of cassava materials is constructed based on 27 core KASP markers, and the purpose of rapid variety identification can be achieved. The KASP marker disclosed by the invention can be used for effectively identifying false selfing offspring. In conclusion, the KASP marker provided by the invention provides a new method and thought for genetic improvement and variety identification of cassava, provides a powerful tool for subsequent cassava breeding and genetic improvement research, and is beneficial to breeding of new varieties with excellent characters.

The present invention generally relates to microfluidics and labeled nucleic acids. Certain aspects are generally directed to containing cells in gels, such as agarose gels, and determining nucleic acids within the cells, e.g., while contained within the gels. The nucleic acids may be, for example, genomic DNA, mRNA, transcriptomes, or the like. In some embodiments, for instance, both genomic DNA and RNA (e.g., as in a transcriptome) from a cell may be determined. In some cases, the nucleic acids may be attached to beads for sequencing or other purposes. Such systems may be useful, for example, for high-throughput sequencing or other applications.

The hypometric genetics (hMG) method enhances genetic discovery and prediction by leveraging quality control flags, such as below limit of quantification (BLQ), data in large-scale omics (e.g., metabolomics) studies. This approach transforms quality control flags into binary traits, which are then analyzed alongside continuous traits using advanced machine learning techniques. The method applies gene-based rare variant aggregation tests and joint multi-trait analysis to improve statistical power, particularly for rare variants and extreme phenotypes. By integrating previously underutilized data, hMG significantly increases statistical evidence for prioritized genes and predictive accuracy of genetic prediction, offering a novel solution to challenges in genetic analysis. The method's effectiveness has been demonstrated using NMR-based metabolomics data from the UK Biobank, showing improved statistical power in identifying trait-associated genes and enhanced accuracy in polygenic risk score modeling with consistent performance across diverse population groups.

The present application relates to the technical field of molecular biology, and discloses a 74-core molecular marker set for cold tolerance identification of Pennisetum, a primer group, a detection reagent, a kit, a gene chip and applications thereof.The present application collects core germplasm resources of Pennisetum systematically, and constructs a GWAS population by using multi-environment (different altitudes) conditions, fully covers extensive genetic and phenotypic variations, and lays a foundation of representative materials for genetic analysis of cold tolerance.In the aspect of phenotype evaluation, the present application innovatively proposes a method of "single root double stem node oblique planting" combined with the determination of the number of root cutting seedlings after natural overwintering, establishes a scientific, stable and standardizable evaluation system for cold tolerance and regeneration, and significantly improves the reliability and efficiency of phenotype identification.The present application is not affected by human and climate environment, realizes efficient and accurate early cold tolerance identification of Pennisetum, greatly improves the efficiency and scale of breeding screening, and accelerates the breeding process.

This invention discloses a method for detecting 5-hydroxymethylcytosine based on triple cascade signal amplification, belonging to the field of biochemical detection technology. The method includes the following steps: 1) preparation of 5hmC-specific glycosylation and azide labeling; 2) magnetic bead capture and enrichment separation of target DNA; 3) TdT-mediated nucleic acid end polymerization and extension; 4) APE1-triggered primer release and rolling circle amplification; 5) DNase-catalyzed cleavage and fluorescence signal detection. This invention is bisulfite-free and sequence-independent, achieving extremely low background and ultra-high sensitivity detection with a detection limit of 4.41 fM. It can be widely applied to early clinical cancer screening, biomarker detection for neurological or cardiovascular diseases, and provides a powerful platform for low-abundance epigenetic analysis in clinical diagnosis and biomedical research.

This invention discloses cotton GhGot1L This invention relates to genes and their application in creating heat-resistant cotton breeding materials, belonging to the field of cotton genetics and molecular breeding technology. This invention focuses on genetic analysis of the heat-resistant locus qPV-D05, which has been identified in the upland cotton genome. Through gene editing, it was determined that the causal gene at the qPV-D05 locus encodes a Golgi transporter protein. GhGot1L This invention corrects the problem through cloning experiments. GhGot1L Based on the reference genome annotation information, cloned GhGot1L The actual gene coding sequence was obtained, and molecular markers were developed for the heat-resistant genotypes generated by gene editing, which can be used to breed heat-resistant upland cotton germplasm.

The invention discloses an SNP (Single Nucleotide Polymorphism) site combination for identifying jujube tree germplasm resources and application of the SNP site combination, and belongs to the technical field of molecular marker-assisted breeding. According to the invention, 100 high-quality SNP markers are developed, and a core germplasm bank containing 92 parts of jujube germplasm resources is constructed. The 100 SNP molecular markers are used for carrying out genetic diversity analysis and jujube DNA fingerprint spectrum construction on core germplasm, different jujube germplasm can be accurately distinguished, and the genetic relationship of different germplasm can be determined. 23 KASP markers are further developed, the KASP markers are used for carrying out genetic typing detection on the core germplasm, and population genetic analysis and variety identification can be carried out based on the typing result. The jujube tree SNP site combination and the KASP marker combination provided by the invention can provide efficient genome typing technology and data reference for genetic diversity analysis, germplasm resource identification, marker-assisted breeding and the like of jujube trees.

The invention relates to a computer-implemented method for processing genomic data, comprising the following steps: a) Receiving first metadata comprising a request for genetic analysis of the genome of a subject, the genome belonging to an owner, wherein the first metadata (MDD1) comprises data associated with the subject and at least one area of the genome to be analysed, the owner's consent for the analysis having been received; b) Generating a digital DNA tag encoding (i) a unique owner key (ii) a public encryption key specific to the owner, (iii) the first metadata (MDD1) associated with the subject, the first metadata and the unique key (CU) being stored in a first database; the public encryption key (CCP) being associated with a private encryption key.