256 results about "Snp markers" patented technology

The invention discloses a corn kernel size regulation gene X1 as well as an SNP (Single Nucleotide Polymorphism) marker and application thereof. The invention discovers that the X1 gene has the function of regulating and controlling the grain shape and the grain weight for the first time. The invention provides a novel SNP (Single Nucleotide Polymorphism) marker related to the corn grain size, the SNP marker has two alleles AA and GG, and the allele AA is clear to be regarded as an excellent / synergistic allele. The X1 gene provided by the invention can lead to increase of grain types such as the length of a corn grain of a mutant strain compared with that of a control grain; the length and other grain types of the X1 gene overexpression strain are reduced compared with those of the control grain. Precious gene resources are provided for corn breeding, and the application prospect is wide.

The invention discloses a mulberry SNP (Single Nucleotide Polymorphism) marker mining and stress resistance character prediction method based on a Transform architecture, and belongs to the crossing field of biotechnology and artificial intelligence. According to the method, mulberry genome sequencing and stress resistance phenotype data are collected, high-credibility SNP is screened through quality filtering and Bayesian statistics, a Transform model containing multiple self-attention mechanisms is constructed after multi-dimensional features are extracted, early stop method training optimization is combined, stress resistance character prediction is achieved, and the key SNP contribution degree is analyzed through feature disturbance. According to the method, the problems of insufficient long-distance feature correlation capture, low prediction precision, poor model interpretability and the like in the traditional technology are effectively solved, the stress resistance character prediction precision and the SNP marker credibility are improved, and an interpretable efficient screening strategy is provided for mulberry molecular breeding.

The invention relates to the technical field of teasel breeding, and discloses a teasel germplasm resource multi-character collaborative screening breeding method, which comprises the following steps: multi-omics data acquisition: extracting teasel germplasm leaf DNA (deoxyribonucleic acid), and capturing exon regions of disease resistance and metabolism related genes by adopting a targeted sequencing technology to obtain an SNP (single nucleotide polymorphism) marker matrix; the method comprises the following steps: collecting root extracts, detecting medicinal components through ultra-high performance liquid chromatography-mass spectrometry, and constructing a metabolite abundance matrix; measuring phenotype data of plant height, root length, root weight, root rot morbidity and survival rate under drought stress; key site and metabolite correlation analysis: constructing a Bayesian network containing SNP markers, metabolite and phenotypes by using a graph database, and carrying out cross validation through a leave-one-out method. The dipsacus asper germplasm resource multi-character collaborative screening breeding method aims at solving the problem that a traditional breeding method lacks systematic integration analysis of genomes and metabolic pathways in dipsacus asper multi-character collaborative improvement.

The invention discloses a positioning method of trachinotus ovatus growth trait related QTL (quantitative trait loci) based on 2b-RAD technology and application, the method uses 2b-RAD technology to perform sequencing on 300 trachinotus ovatus full-sib F1 generation and male and female parent individuals and develop SNP (single nucleotide polymorphism) markers, constructs a trachinotus ovatus high-density genetic linkage map, performs linkage positioning analysis in combination with 8 growth phenotype data, and finds that the trachinotus ovatus growth trait related QTL is found. 85 stable QTLs associated with the growth traits are screened out, and the stable QTLs contain 763 SNP sites. The invention also discloses an application of the method in a genetic map of trachinotus ovatus growth character positioning or molecular marker-assisted breeding of trachinotus ovatus, and the SNP molecular markers of trachinotus ovatus can be applied in genetic map construction and growth character positioning. Particularly, the method has a good application prospect in trachinotus ovatus growth trait molecular marker assisted breeding.

The invention discloses a Chinese rose spine shape whole genome SNP molecular marker combination and application thereof, 358 Chinese rose re-sequencing materials and spine shape phenotypic data are subjected to whole genome association analysis, 679 significantly related SNP markers are screened out, and a prediction model is constructed. The probe and the chip provided by the invention can efficiently detect the target SNP site in the Chinese rose genome and predict the thorn shape, have the advantages of high efficiency, accuracy, low cost and the like, can obviously shorten the breeding period and reduce the breeding cost, and provide technical support for genetic improvement and new variety cultivation of Chinese roses.

The invention relates to a gene related to the body color character of paramisgurnus dabryanus, a primer group of an SNP marker and application of the primer group, and belongs to the technical field of molecular markers, and the nucleotide sequence of the gene is as shown in SEQ ID NO.1. The invention also provides a primer pair for detecting the body color related SNP marker herc2-105, and the nucleotide sequence of the primer pair is as shown in SEQ ID NO: 2-3; the SNP marker herc2-105 is located at the 105bp position of the nucleotide sequence of the gene, and the polymorphic form of the SNP marker herc2-105 is A / T. Wherein the AA genotype individual has a golden red body color, and the AT and TT genotype individuals have a wild body color. The molecular marker provided by the invention can be used for body color character breeding of the golden red paramisgurnus dabryanus, the genetic diversity of population offspring is effectively increased, and the breeding process of new body color variety breeding of the red paramisgurnus dabryanus is remarkably promoted.

The invention discloses an SNP (Single Nucleotide Polymorphism) marker-based rice disease resistance character whole genome association analysis method, which relates to the technical field of biology, and is characterized by comprising the following steps: selecting a representative genetic recombination population, carrying out high-density SNP genetic typing on the population, and combining recombination event positioning and linkage analysis to obtain the disease resistance character whole genome association analysis of rice. Obtaining genetic parameters reflecting recombination frequencies of different genome segments; on the basis of the obtained original genetic data, parent and offspring genotype information is further integrated, fine positioning and statistics are carried out on recombination breaking points, and a high-resolution genetic map is constructed. By constructing a high-resolution genetic map and combining feature engineering and machine learning, accurate identification and dynamic SNP encryption of a high-recombination region are realized, the marker coverage and associated signal capture capability of the region is enhanced, the functional site leak detection risk is reduced, and the detection efficiency is improved. The positioning accuracy and the molecular breeding application effect of the rice disease resistance character related candidate gene are 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 invention relates to the field of cherry molecular biotechnology and molecular assisted breeding technology detection, in particular to a molecular marker for identifying the core SNP (single nucleotide polymorphism) of a Chinese cherry resource and a DNA (deoxyribonucleic acid) fingerprint spectrum database constructed by using marker sites. 185 resources representing the distribution and genetic diversity of Chinese cherries in China are utilized to perform whole genome re-sequencing and biological information analysis, 469776 SNP molecular markers are obtained, 1674 SNP molecular markers are screened out to serve as core SNP markers, and a DNA fingerprint database of cherry resources is constructed and can be used for identifying germplasm resources of Chinese cherries. DNA genetic information and genetic differences of the to-be-detected Chinese cherry resources are evaluated, and a scientific basis is provided for effective protection of the Chinese cherry resources, utilization of local germplasm and selection of cherry breeding.

The invention belongs to the technical field of molecular biology, and particularly relates to an SNP (Single Nucleotide Polymorphism) marker combination for single apple remarking assisted selection, a probe group and application of the SNP marker combination and the probe group. The SNP marker combination is composed of 16 SNP markers; the 16 SNP markers comprise SNP1-SNP16, and the number of the SNP markers is 16; the nucleotide sequences of the SNP1-SNP16 are sequentially as shown in SEQ ID NO. 1 to SEQ ID NO. 16. The invention focuses on controlling major variation sites of apple plant single fruit weight, develops 16 major SNP markers linked with apple single fruit weight traits, and is suitable for marker-assisted selection of apple single fruit weight traits in the seedling stage of breeding materials.

The invention provides a local livestock and poultry variety identification method based on an SNP marker, and relates to the field of variety identification, and the method comprises the following steps: S1, genotype data acquisition, S2, genotype data quality control, S3, variety identification standard library establishment, and S4, bloodline content evaluation. According to the method, on the basis of a standardized molecular identification analysis process of genomic SNP marker bloodline content evaluation, genotype information of a core SNP site is analyzed, so that whole analysis process processing from original genotyping data to variety identity judgment is realized; the method can provide standardized, convenient and efficient molecular detection technical support for protection and utilization of genetic resources of local livestock and poultry in China, germplasm innovation and industrial development.

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 an SNP molecular marker combination for paternity test and individual recognition of dairy cows and application, the SNP molecular marker combination comprises 300 SNP markers on 29 autosomes of the dairy cows, the marker combination can be applied to paternity test and individual recognition of the dairy cows, and an identification method comprises the step of preparing a liquid phase chip of the 300 SNP markers, constructing a high-throughput sequencing library by using the genome DNA of the dairy cow to be detected; mixing the liquid phase chip probe with a high-throughput sequencing library, capturing a DNA fragment containing a target SNP site in the dairy cow DNA high-throughput sequencing library, amplifying and purifying to obtain a genetic typing of a dairy cow individual to be detected, and performing paternity test inference according to the genetic typing. The invention provides a probe and a kit for identifying SNP (Single Nucleotide Polymorphism) site information. According to the invention, the SNP polymorphism is detected through targeted capture sequencing, through high-depth sequencing, the typing result is accurate and reliable, and the accuracy of paternity test and individual recognition is ensured.

The invention discloses a Chinese rose vase life whole genome SNP molecular marker combination and application thereof, the SNP locus combination comprises 1679 SNP markers significantly associated with Chinese rose vase life, and the SNP markers are uniformly distributed on 14 chromosomes of Chinese rose. The SNP loci are obtained through genome-wide association analysis and screening, a genome-wide selection model constructed by the SNP loci can accurately predict the vase life of the Chinese rose, and the prediction accuracy can reach 0.710 or above. The invention also relates to specific probes designed aiming at the SNP loci and a liquid phase breeding chip containing the probes, which can be used for rapidly and efficiently screening individuals with excellent vase life characters in a Chinese rose seed or seedling stage, so that the breeding period is remarkably shortened, the breeding efficiency is improved, and the breeding cost is reduced. Powerful technical support is provided for molecular breeding and variety improvement of the Chinese roses.

The invention discloses a citrus hybrid offspring authenticity identification method based on whole genome SNP (Single Nucleotide Polymorphism) analysis. According to the invention, a genome typing technology in a whole genome range is adopted, and a set of discrimination system capable of accurately identifying real hybrid offspring is established through high-density SNP (Single Nucleotide Polymorphism) marker analysis and an IBD (Identity by means of an algorithm. The method breaks through the limitation of a traditional method on hybrid filial generation identification, and provides reliable technical support for breeding practice.

The invention relates to the technical field of molecular markers and animal genetic breeding, in particular to an SNP marker influencing pig UMP content and application thereof. Whole genome re-sequencing and GWAS analysis are adopted, American-series purebred landrace pigs, American-series purebred large white pigs and American-series purebred duroc are used as research objects, seven SNP markers related to the pig UMP content are researched and determined, by optimizing dominant alleles of the SNP, the frequency of the dominant alleles can be increased generation by generation, the UMP content can be increased, and the pig UMP content can be improved. The pig genetic improvement progress is accelerated, so that the economic benefit of breeding pig breeding is effectively improved.

The invention discloses a Chinese rose petal outer edge wave whole genome SNP (Single Nucleotide Polymorphism) molecular marker combination and application thereof, and aims to solve the problems that the traditional Chinese rose breeding period is long, the Chinese rose breeding is easily interfered by the environment, and the petal wave character cannot be predicted in a seedling or seed stage. According to the method, 358 Chinese rose whole genome re-sequencing data and petal outer edge wave phenotype association analysis are integrated, a multi-model combined screening strategy is adopted, 1453 SNP markers obviously associated with petal outer edge waves are determined, and a whole genome selection model with high prediction precision is constructed. By combining a specific probe and chip technology, high-throughput and rapid detection is realized, the detection period can be shortened, the petal wave traits can be directly predicted by utilizing genotype data in a seedling stage, the breeding process is accelerated, and core data support is provided for Chinese rose petal outer edge wave genetic law analysis and molecular marker-assisted breeding; the method has outstanding theoretical value and application potential.

The invention discloses a CAPS molecular marker of a GhFRO7 gene of upland cotton and application of the CAPS molecular marker in early blossoming character identification and breeding, and belongs to the field of molecular biology. Whole genome association analysis is carried out based on a high-density SNP marker, an SNP site which is located on an upland cotton GhFRO7 gene and is remarkably related to the flowering time character is identified and obtained, and then a CAPS molecular marker with the sequence shown as SEQ ID NO.34 and a primer pair with the sequence shown as SEQ ID NO.3-4 are developed. The CAPS molecular marker and the primer pair thereof provided by the invention can be applied to identification of early flowering upland cotton varieties and molecular marker-assisted selective breeding, and can effectively save the detection cost, shorten the period and improve the detection efficiency. The invention provides a new method for genetic improvement of cotton prematurity, and provides important genetic resources for developing cotton varieties adapting to specific climate conditions.

The invention provides an SNP (Single Nucleotide Polymorphism) marker combination for identifying a Gaoligong Mountain pig variety. The sites of the SNP marker are selected from a combination of more than two sites in 28 listed sites. The invention also provides application of the SNP marker combination and a method for rapidly identifying the Gaoligong pig variety by using the SNP marker combination. According to the method, group differentiation index analysis is carried out on the Gaoligong pigs, linkage imbalance analysis is further carried out on the screened SNP markers, deep mining is carried out in combination with a random forest algorithm, 28 SNPs markers are successfully determined, and the markers can clearly distinguish the Gaoligong pigs from other representative varieties. According to the invention, a target variety characteristic SNP marker combination is successfully constructed, and powerful technical support is provided for low-cost and rapid variety identification of Gaoligong pigs and other varieties of pigs.

The invention provides a Kawasaki disease coronary artery disease risk dynamic prediction algorithm and an automatic upgrading system. The Kawasaki disease coronary artery lesion risk dynamic prediction algorithm and the automatic upgrading system comprise the following steps: a, acquiring clinical data of a Kawasaki disease child patient, including data of disease date, sex, month age, serum sodium level, D dimer, erythrocyte distribution width, prothrombin time and C-reactive protein biomarker; according to the Kawasaki disease coronary artery disease risk dynamic prediction algorithm and the automatic upgrading system, through combination of clinical features and gene data of Kawasaki disease children patients, a plurality of machine learning algorithms are used, and an efficient and accurate CAL risk prediction model is constructed. The model combines a plurality of key clinical indexes such as serum sodium level, CRP and D dimer and gene data such as SNP markers such as SIGLEC8-CEACAM18 and PPP1R1C, and the sensitivity and specificity of risk prediction are remarkably improved.

The invention discloses a China rose fragrance whole genome SNP molecular marker combination and application thereof, 2068 SNP markers significantly related to fragrance are screened out by analyzing 358 parts of China rose re-sequencing materials and flower fragrance phenotype data, and a whole genome selection model is constructed. The method can accurately predict the fragrance character of the China rose, improve the breeding efficiency and accuracy, shorten the breeding period and reduce the cost. Meanwhile, a new direction is provided for China rose fragrance improvement and breeding, the method has reference value for character improvement of other horticultural crops, has efficient and stable capture efficiency, and can be used for subsequent sample detection and evaluation.

The invention discloses an SNP (Single Nucleotide Polymorphism) marker related to porcine No.8 chromosome and muscle shear force as well as a detection method and application. The SNP marker is located on a pig 8 # chromosome, the site of the SNP marker is the nucleotide site of the pig 8 # chromosome rs332282301 of a reference sequence of an international pig genome version 11.1, the SNP marker has A / G polymorphism, and the SNP marker is significantly related to the pig muscle shear force. According to a primer pair for detecting the SNP marker, an upstream primer is SEQ ID NO: 2, and a downstream primer is SEQ ID NO: 3. The SNP marker provided by the invention is related to the tenderness of the pigs, the pigs with low muscle shearing force (better tenderness) can be screened by identifying the SNP marker, and the SNP marker has important economic benefits and social values for establishing pig groups with low muscle shearing force (better tenderness).

The invention relates to the field of molecular biology and genetic breeding, and provides application of an SNP (Single Nucleotide Polymorphism) marker related to a body height character. The SNP marker is located at the 136651710 bp position of the No.3 chromosome of sheep, and is Cgt; and T base mutation (rs403130818) is carried out. Experiments show that the SNP marker developed by the invention has significant influence on the sheep body height character (Plt; 0.05), and the allele T has more excellent body height character, so that the SNP molecular marker in the MCRS1 gene can be applied to molecular marker breeding of the sheep body height character. The molecular marker provided by the invention is not limited by the age, sex and the like of the sheep, can be used for breeding excellent body height sheep varieties, and even can be accurately screened when the sheep are newly born, so that the breeding process of the excellent body height sheep varieties is greatly accelerated.

The invention relates to the technical field of molecular genetic breeding, and particularly discloses an eggplant core SNP molecular marker set and application, and the molecular marker set comprises 23 SNP markers; screening representative eggplant germplasm for re-sequencing; the method comprises the following steps: by taking an eggplant HQ-1315V1.0 genome as a reference genome, carrying out comparison to obtain 4869502 SNP (Single Nucleotide Polymorphism) markers; the method comprises the following steps: screening to obtain a first SNP molecular marker set based on a material discrimination degree, a distribution uniformity degree on a genome, specificity intensity, a heterozygosity degree, a gene diversity index, a polymorphic information amount PIC and a minimum allele frequency MAF principle of SNP markers; 96 SNP molecular markers are randomly selected, and genetic typing verification is carried out on the SNP molecular markers by using eggplant resource materials to obtain 32 candidate SNP molecular markers; and further performing genetic diversity evaluation, clustering analysis and population structure analysis on the 32 candidate SNP molecular markers, and screening to obtain 23 core SNP molecular marker sets. The method has the characteristics that germplasm resources can be effectively distinguished, and variety identification and authenticity detection are convenient.

The invention discloses a Chinese rose petal outer edge notch whole genome SNP molecular marker combination and application thereof, and aims to overcome the defects in the prior art, 879 SNP markers significantly related to petal outer edge notch are identified by fusing 358 Chinese rose whole genome re-sequencing data and petal outer edge notch phenotype correlation analysis and applying a multi-model combined screening technology, and the SNP markers are used for identifying the petal outer edge notch. And a whole genome selection model with high prediction accuracy is established. The markers are distributed on 14 chromosomes, high-throughput and rapid detection can be achieved, the detection period is shortened, the petal wave character is directly predicted through seedling genotype data, and the breeding process is accelerated. The method has the advantages of low cost, high throughput and industrialization potential, provides key data support for Chinese rose petal outer edge notch genetic law analysis and molecular marker assisted breeding, and significantly improves the breeding efficiency and precision.

The invention discloses application of an SNP (Single Nucleotide Polymorphism) marker influencing the lambing number of goats. The marker is located at the 6293801th basic group on the No.15 chromosome of a goat, the specific SNP marker site is C / G basic group mutation at the 392bp position of SEQ ID NO: 1 in a sequence table, and the lambing number of a CC genotype goat individual and a CG genotype goat individual at the site is remarkably higher than that of a GG genotype individual. The method comprises the following steps: by taking a Muncheng black goat as a research object, carrying out PCR (Polymerase Chain Reaction) amplification on a segment of ENSCHIG00000009743 gene, wherein the segment contains a goat 15 # chromosome g.6293801Cgt; according to the present invention, the DNA sequence of the G mutation site is analyzed, the influence of the specific genotype of the site on the lambing number of the Mancheng black goats is analyzed, and the individual breeding of the Mancheng black goats is performed according to the influence, such that the Mancheng black goat lambing number can be increased, and the breeding of the new variety (strain) using the Mancheng black goats as the breeding material can be accelerated; and a marker resource is provided for marker-assisted selective breeding of goat lambing number traits.

The invention belongs to the technical field of experimental animal inbred line rat strain identification and genetic quality control, and particularly discloses a CAL inbred line rat strain identification with 21 SNP markers, a preparation kit or a detection site sequence, a primer sequence, a nucleotide type and application of the CAL inbred line rat strain identification. According to the method, 21 SNP markers are used for identifying a CAL inbred line rat strain, and each SNP marker comprises 21 SNP loci; the inbred line rat strain is a CAL inbred line rat. According to the invention, 21 SNP markers are used for identifying a CAL inbred line rat, the detection result shows that 20 sites of the CAL inbred line rat are all in a homozygous state, and one site rs106335590 is deleted; the accuracy of inbred line rat strain identification is improved.

This invention belongs to the field of molecular marker development for vegetable agronomic traits and marker-assisted breeding technology, specifically relating to a specific marker suitable for screening and breeding watermelon varieties, providing a high-throughput auxiliary technology for subsequent variety protection and improved seed breeding. This invention discloses 44 core SNP markers suitable for watermelon population structure analysis and variety identification; it also discloses KASP primers for amplifying the above SNP markers; and it further discloses the application of the above molecular markers in watermelon population structure analysis and variety identification.

The invention belongs to the technical field of genetic engineering and pulmonary interstitial disease medicine, and particularly relates to an SNP marker for auxiliary diagnosis of idiopathic pulmonary fibrosis and application of the SNP marker. The invention discloses and verifies the application value of a specific marker combination composed of 76 SNPs in auxiliary diagnosis of idiopathic pulmonary fibrosis for the first time. By detecting the SNP spectrum, an important molecular tool and data basis can be provided for early discovery of idiopathic pulmonary fibrosis, disease assessment and even subsequent drug target mining. The invention further provides a kit for detecting the 76 SNP markers, the kit has high sensitivity and specificity, and effective diagnosis of idiopathic pulmonary fibrosis can be achieved by detecting the 76 SNP markers.

The present invention relates to a Single Nucleotide Polymorphism (SNP) marker for determining the degree of protein content of rice seeds and a method for determining the degree of protein content of rice seeds using said marker. Specifically, the present invention relates to an SNP marker for determining protein content and a method for determining protein content using said marker, which constructs a machine learning-based rice protein content prediction model by utilizing SNP markers associated with high and low protein content, thereby enabling the prediction of rice seeds with high protein content in the early stages of growth.