54 results about "Diversity analysis" patented technology

The invention provides a beet genetic diversity analysis method based on whole genome re-sequencing. The method comprises the steps of PacBio HiFi library construction, computer sequencing, data information analysis, assembly quality evaluation and Hi-C auxiliary genome assembly. The invention further provides application, and the high-continuity beet reference genome is used for analyzing beet intraspecific genetic diversity and developing high-density molecular markers. According to the method, the high precision of HiFi, the super-long read length of Nanopore and Hi-C space interaction data are combined for the first time, the problems of repeated sequence and complex SV analysis are solved, and all-round breakthrough of genome continuity, annotation integrity, genetic diversity coverage and epigenetic integration is achieved.

The invention relates to the field of forensic medicine, and discloses a method and system for identifying smoking behaviors and application of the method and system. The construction method comprises the following steps: respectively obtaining saliva and excrement of a smoking object and a non-smoking object; performing metagenome sequencing to obtain original microbiome data; after processing the original microbiome data, extracting multi-omics feature information, including species information and gene function annotation information; based on a statistical analysis method, carrying out diversity analysis and screening microbial markers and functional genes significantly related to smoking behaviors; constructing a training set and a test set, and training a machine learning model and model evaluation by taking the microbial markers and / or the functional genes as input features; and performing smoking behavior identification on a target sample by using the model, and outputting a prediction result. The accuracy rate of model identification reaches 0.7966, the sensitivity is 0.8750, the specificity is 0.7037, and the method can be applied to health assessment and judicial expertise.

The invention relates to a method and primers for analyzing genetic diversity of nardostachyos root and rhizome based on ISSR molecular markers, and belongs to the technical field of molecular biology. The first technical problem solved by the invention is to provide an ISSR molecular marker primer for genetic diversity analysis of rhizoma nardostachyos. The sequences of the primers comprise UBC809, UBC823, UBC840, UBC842, UBC847 and UBC850, and the UBC840, the UBC842, the UBC847 and the UBC850 are The six ISSR primer sequences provided by the invention are stable in PCR amplification reaction in rhizoma nardostachyos, clear in amplified fragment and relatively good in stability and repeatability. The method for analyzing the genetic diversity of the rhizoma nardostachyos based on the ISSR molecular marker provides technical support for analysis of genetic structures and genetic relationships of different geographical populations and different characters of the rhizoma nardostachyos, can complete identification of test materials in a low-cost, large-batch and short-time manner, and provides a basis for protection of rhizoma nardostachyos resources and breeding of excellent varieties.

The invention relates to the technical field of genomics, molecular biology, bioinformatics and whole-genome selective breeding, in particular to a whole-genome liquid chip for apostichopus japonicus and application of the whole-genome liquid chip. The liquid phase chip contains sequences of background SNP loci and functional SNP loci which are used for gene analysis and are positioned on an apostichopus japonicus reference genome; wherein the functional SNP sites are associated with important economic characters of the apostichopus japonicus. The invention also discloses application of the liquid chip in apostichopus japonicus genome selective breeding, important economic character gene positioning, genetic diversity analysis, germplasm resource improvement and protection.

The invention discloses a zoysia japonica SNP (Single Nucleotide Polymorphism) molecular marker combination, an SNP fingerprint sequence, a DNA (Deoxyribose Nucleic Acid) fingerprint spectrum and application thereof, and belongs to the technical field of molecular biology. The zoysia japonica SNP molecular marker combination comprises 426 core SNP loci, the 426 core SNP loci can uniformly cover zoysia japonica genomes, the polymorphic information content is high, and the zoysia japonica SNP molecular marker combination can be used for obtaining zoysia japonica SNP fingerprint sequences and drawing zoysia japonica molecular identity cards and DNA fingerprint spectrums so as to efficiently identify zoysia japonica germplasm identities. The problems of zoysia japonica germplasm mixing, repeated storage and management, intellectual property disputes and the like are solved. Moreover, the SNP molecular marker combination provided by the invention can also be used for zoysia japonica genetic diversity analysis, population structure analysis and genetic breeding, and lays a foundation for effectively protecting and utilizing zoysia japonica germplasm resources to accelerate zoysia japonica breeding.

The invention relates to the technical field of intelligent peanut disease monitoring, in particular to an intelligent peanut disease monitoring method based on community diversity analysis. According to the method, soil environment parameters are collected in real time through a multi-source sensor array, and rhizosphere microorganism DNA is extracted based on an improved CTAB-PEG method for high-throughput sequencing; constructing a dynamic baseline model fusing a Shannon-Wiener index, a phylogenetic diversity index and an environment correction factor; synchronously analyzing spatial distribution and time evolution characteristics of an OTU abundance matrix by adopting a deep space-time convolutional network, and decoding a microbial anomaly succession signal through a gating circulation unit; and when the disease risk index exceeds a threshold value, activating an early warning terminal and generating a resistant variety adaptation scheme. According to the method, the problems of incomplete microorganism capture, misjudgment of environmental interference, early warning lag and the like of a traditional method are solved, and collaborative optimization of precise early warning and prevention and control decision of peanut diseases is realized.

The invention discloses a highland barley rhizosphere microbial community regulation and control method, which comprises the following steps: clustering sequencing sequences of microbial data in rhizosphere soil data of mature highland barley to obtain taxonomic information and an operable classification unit, performing zero-model analysis on the soil data and the operable classification unit according to planting data, and determining whether the soil data and the operable classification unit are in zero-model analysis. The method comprises the following steps: acquiring a ratio of nitrogen fertilizer data to environmental screening contribution and drift contribution of microbial community composition, performing diversity analysis on an operable classification unit according to taxonomy information to obtain dominant species data, extracting a nitrogen fertilizer amount and a fertilization period corresponding to the dominant species data, and performing parameter optimization through a Bayesian optimization algorithm. The rhizosphere soil is fertilized according to the fertilization period and the optimization parameters of the planting area, and the regulation and control result of the microflora is obtained. According to the method, the optimal nitrogen application amount gradient is determined through zero model analysis and Bayesian parameter optimization, so that the rhizosphere microorganism function adapts to the growth requirement of highland barley, and an interpretable basis is provided for optimizing nitrogen fertilizer management.

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

The invention relates to the technical field of molecular biology, in particular to a betel nut InDel marker and application thereof in provenance detection. According to the invention, on the basis of the results of re-sequencing of one betel nut germplasm resource and comparative analysis of a reference genome sequence, InDel sites are excavated to develop molecular markers, 46 pairs of InDel molecular marker primer pairs with high polymorphism are obtained, the variation range of Shannon's diversity index is 0.361-1.713, and the variation range of polymorphism information content is 0.201-0.752. The clustering analysis result shows that the genetic similarity coefficient is 0.36, 211 parts of areca-nut materials are divided into four groups, the InDel marker pair provided by the invention can be effectively used for detecting and analyzing the genetic background of areca-nut germplasm resources, the genetic relationship between the tested areca-nut materials is accurately identified, and the method has the advantages of high specificity, high accuracy and high accuracy. And a foundation is laid for genetic diversity analysis of betel nut germplasm resources and detection of seed fruit and seedling sources.

The invention discloses an SSR molecular marker combination, a primer and a fingerprint spectrum for identifying potato germplasm resources and application of the SSR molecular marker combination and the primer and the fingerprint spectrum, and belongs to the technical field of biology. The molecular marker combination comprises STSSRC1-STSSRC12, and the nucleotide sequences of the STSSRC1-STSSRC12 are as shown in SEQ ID NO. 25 to 36. According to the molecular marker combination for identifying the potato variety resources and the primer combination of the molecular marker combination, multiple potato varieties can be accurately distinguished and identified, the identification process of the potato variety resources is greatly shortened, and technical support is provided for potato variety DNA molecular genotype identification and potato genetic diversity analysis.

The invention relates to the technical field of molecular detection, and particularly discloses a police dog 10K liquid phase chip, a design method and application thereof and a kit, and genetic typing sites of the police dog 10K liquid phase chip comprise 10463 SNP sites; the physical positions of the 10463 SNP loci are determined based on the comparison of the whole genome sequence of the canine reference genome CanFam 3.1, and the 10463 SNP loci are shown in the table 1. The 10463 SNP loci disclosed by the invention are obtained by screening based on a DNA sample of the police dog, and the obtained 10463 SNP loci can be used as a basis for genetic typing of the police dog; the liquid chip designed according to 10463 SNP loci can quickly realize genotyping of the target SNP loci, and obtained genotyping data can be used for variety identification of police dogs and population diversity analysis of police dogs.

The invention relates to an object grouping method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: grouping a plurality of objects to obtain a plurality of groups, and obtaining attribute information of each object; the attribute information comprises skill information and character information; energy models corresponding to the multiple groups are constructed according to the attribute information of the objects; and optimizing the plurality of groups according to the energy model to obtain a target group corresponding to each object. By adopting the method, the energy models corresponding to the multiple groups can be constructed according to the attribute information of each object, so that the energy models corresponding to the multiple groups constructed in the embodiment of the invention can accurately represent the skill complementarity analysis result and the character diversity analysis result of each group; and grouping optimization is carried out according to the more accurate energy model which is more suitable for multiple objects, so that the target group with a better effect can be determined.

The invention discloses a natural reserve plant diversity analysis device based on a monitoring matrix in the technical field of plant diversity analysis. The natural reserve plant diversity analysis device comprises an acquisition unit and an analysis unit wirelessly connected with the acquisition unit, the acquisition unit comprises an unmanned aerial vehicle monitoring module and a plurality of groups of ground monitoring modules; the ground monitoring module comprises a mounting frame, an adjusting mechanism arranged on the mounting frame, and image acquisition equipment which is connected with the adjusting mechanism and is used for acquiring plant image data. The unmanned aerial vehicle monitoring module and the ground monitoring module cooperatively construct a three-dimensional monitoring matrix with full space coverage, continuous time and multiple parameters, and the analysis unit processes and analyzes collected data in real time to generate plant diversity data. And the adjusting mechanism is controlled to dynamically adjust the height position and the horizontal position of the image acquisition equipment according to the plant image data, so that the integrity and the definition of plant image data acquisition are ensured.

The invention provides a one-stop detection method and device for metagenome pathogenic microorganisms, and relates to the technical field of biology. The method comprises the following steps: identifying whether the sequencing data of each sample belongs to single-end sequencing or double-end sequencing; then sequencing data is processed according to the identification result difference; then performing species annotation and relative abundance estimation of different biological levels on the sample; and then annotation results are merged, according to abundance information of the samples, a classification histogram is generated, alpha diversity analysis is performed, and beta diversity analysis is performed when the number of the samples is multiple, and the whole method directly transmits data by using a pipeline, so that intermediate files are reduced, the whole process time is shortened, and a foundation is laid for rapid detection of pathogenic microorganisms.

The invention relates to the technical field of molecular biology, and discloses a goat whole genome 50K breeding chip and application thereof. On the basis of whole genome re-sequencing data of goat groups (gt, 500 parts) covering domestic local and cultivated varieties and imported varieties abroad, functional marker information remarkably related to 14 economic characters such as growth and development, slaughtering, breeding, wool production and milk production of goats is screened through whole genome association analysis and selection signal analysis, and a probe combination contains 50000 SNP loci. The goat whole genome 50K breeding chip disclosed by the invention has the characteristics of strong cross-variety universality, high detection accuracy, comprehensive functional information and the like, can be widely applied to the aspects of goat genetic diversity analysis, whole genome correlation analysis, whole genome selective breeding and the like, and can be used for remarkably shortening the breeding period and reducing the typing cost.

The invention discloses a pig SINE-RIP probe combination, a gene chip, a kit and application, the pig SINE-RIP probe combination is based on a reference genome Sscrofa11.1, has wide variety and group applicability, and detects a type of SINE-RIP structure variation markers of SINE-RIP which is large in fragment, easy to cause gene activity change and large in genetic effect. The method is suitable for various applications and researches such as pig genome selective breeding, pig germplasm resource identification and evaluation, genetic relationship analysis, genetic diversity analysis and evaluation, functional gene or locus positioning, whole genome association analysis and the like, the detection process is convenient to operate, the flux is high, the cost is low, the detection rate is high, and the typing result is accurate. The probe combination effectively supplements and even substitutes an existing SNP molecular marker system, the accuracy of genome selection can be further improved, a brand-new high-reliability tool is provided for whole genome related research and application of pigs, and the industrial application value is extremely high.

The application discloses ginkgo polymorphic EST-SSR molecular marker primers and application thereof, and belongs to the technical field of molecular marker development and application thereof. EST-SSR sites are screened from ginkgo transcriptome data, and 100 pairs of primers are designed and synthesized. Through effectiveness verification and polymorphism screening with 141 ginkgo germplasm genomic DNAs as templates, finally, 20 pairs of specific EST-SSR molecular marker primers with good stability and high polymorphism are obtained. The application further discloses application of the self-developed molecular marker primers in ginkgo genetic diversity analysis and core germplasm construction and the like. The EST-SSR molecular marker primers provided by the application provide theoretical and technical support for ginkgo genetic evolution analysis, kinship identification and good seed selection and the like, and have important value for rational utilization, preservation and protection of ginkgo germplasm resources.

This invention discloses an InDel molecular marker system covering the entire genome of *Gypsophila paniculata* and its applications. The InDel molecular marker system includes primer pairs corresponding to 191 marker sites, with primer sequences shown in SEQ ID NO.1 to SEQ ID NO.382. Based on next-generation sequencing technology, this invention develops 191 InDel markers for genomic polymorphisms, increasing the variety and number of molecular markers for *Gypsophila paniculata* genetic diversity analysis and variety identification, thus aiding in the detection of *Gypsophila paniculata* varieties and laying the foundation for *Gypsophila paniculata* genetics and molecular breeding.

This application belongs to the field of bioassay technology, and particularly relates to microsatellite markers and their applications for brown-spotted grouper, freshwater grouper, and their hybrid offspring, the 'Shanhu' hybrid grouper. This application provides SSR molecular markers for brown-spotted grouper, freshwater grouper, and their hybrid offspring, the 'Shanhu' hybrid grouper, including the following molecular markers: ad30, ae26, ab42, ad19, ad25, ae27, and ac34; the nucleotide sequences of the molecular markers are shown in SEQ ID NO.1 to SEQ ID NO.7, and the primer pairs for amplifying these molecular markers include the nucleotide sequences shown in SEQ ID NO.8 to SEQ ID NO.21. This application provides microsatellite markers for brown-spotted grouper, freshwater grouper, and their hybrid offspring, the 'Shanhu' hybrid grouper, and their applications, providing seven SSR molecular marker combinations that can be used for population genetic diversity analysis and identification of the three grouper species.

The application discloses a primer combination for analyzing bird species information based on an environmental biological sample and a design method and application thereof, and relates to the technical field of bird species diversity analysis. By using the design method, the primer combination for analyzing bird species information based on an environmental biological sample can be designed, the specificity of the primer can be enhanced, and the amplification of non-target groups can be reduced on the basis of ensuring wide coverage of bird species, so that more efficient and more accurate amplification and data analysis can be realized in bird species identification and ecological monitoring. The primer combination has wide coverage, high resolution and strong specificity, and improves the reliability of bird species information analysis.

The present application relates to the technical field of molecular detection, and specifically discloses a police dog 10K liquid chip, a design method, application and kit thereof, wherein the genotyping sites of the police dog 10K liquid chip include 10463 SNP sites; the physical positions of the 10463 SNP sites are determined based on the whole genome sequence alignment of the canine reference genome CanFam 3.1, wherein the 10463 SNP sites are shown in Table 1. The 10463 SNP sites of the present application are obtained by screening the DNA samples of police dogs, and the 10463 SNP sites can be used as the basis for genotyping the police dogs; the liquid chip designed according to the 10463 SNP sites can quickly realize the genotyping of target SNP sites, and the obtained genotyping data can be used for breed identification of the police dogs and analysis of the diversity of the police dog population.

In order to solve the willow breeding problem with low cost, high efficiency and simple means, the willow whole genome 40K SNP liquid phase chip is provided, the willow whole genome 40K SNP liquid phase chip comprises a willow 40K site probe mixed solution and a hybridization capture reagent, the willow 40K site probe mixed solution comprises a willow SNP background site probe and a willow SNP associated site probe, and each site comprises at least two capture probes. The liquid-phase chip is used for willow genetic diversity analysis, molecular genetic map construction, whole genome association analysis, variety authenticity identification, molecular marker-assisted selective breeding and whole genome selective breeding, is applied to willow leaf detection tests, performs statistics on detection conditions, has 40188 loci, and can be used for detecting willow leaves. According to the method, the average detection rate of the original SNP sites of 16 samples is 97.39%, the site detection rate reaches 99.9% after data of the 16 samples are merged and counted, the service cycle of sample detection is greatly shortened, and the breeding efficiency of willows is improved.

The invention provides a data processing method and device, electronic equipment, a medium and a product. The method comprises the following steps: determining quality scores of a plurality of first training dialogue data in a first training dialogue data set; clustering analysis is conducted on the multiple pieces of first training dialogue data, multiple data clusters are obtained, and the semantic similarity of the first training dialogue data in each data cluster meets a similarity condition; performing diversity analysis on the plurality of first training dialogue data according to the plurality of data clusters, and determining diversity scores of the plurality of first training dialogue data; and according to the quality score and the diversity score, a second training dialogue data set meeting a preset condition is screened out from the first training dialogue data set, and the second training dialogue data set is used for model training, so that training dialogue data with higher quality and higher diversity can be automatically screened out.

The invention belongs to the technical field of oat germplasm resource genetic diversity analysis, and discloses an oat germplasm resource genetic diversity analysis and feeding value evaluation method which comprises the following steps: S1, planting oats; s2, recording growth periods, and dividing maturity; s3, recording organ characteristics and hay components, and calculating a feeding value; s4, recording quality character indexes; s5, measuring spike characteristics and seed weight; s6, performing genetic diversity index calculation, correlation, clustering, principal component and multiple correspondence analysis, and analyzing and evaluating genetic diversity and feeding value; according to the method, the genetic diversity index of oat phenotypic characters in each planting area is calculated, correlation analysis, principal component analysis, clustering analysis, structural equation model construction and multiple correspondence analysis among quantitative characters are carried out, the genetic diversity of each resource is explored, the resource suitable for the climate of the planting land is screened out, and the method has the advantages of being high in practicability and the like. And a scientific basis is provided for improvement and innovative breeding of oat germplasm resources.

The invention discloses a whole genome genetic diversity cloud analysis method based on workflow automation, particularly relates to the field of genetic diversity analysis, is used for solving the problem of cutting imbalance, and is characterized in that accurate description of an original read length structure is realized based on sequence head and tail feature division, quantile tag construction, quality control and cutting steps; mass distribution and section characteristics are correlated by using a mapping matrix, a truncation sensitive coefficient is quantified through a change point potential energy and tip valley symmetry measure two-parameter risk mapping model, and accurate identification of a hidden excessive truncation section is realized; the sensitive index set drives the slow-release cutting strategy to be updated, and after the static threshold is replaced, the cutting result is restored to be stable in comparison coverage and variation integrity; dynamically updating the parameter cache in combination with the coverage curve and the variation distribution data to form a self-correction process; a collaborative linkage data-driven workflow is constructed, abnormal wave crests in the diversity analysis process are effectively stabilized, and cloud parallel stability and resource utilization efficiency are optimized.

The application discloses a SSR core primer group based on whole genome sequencing and core germplasm resequencing of Glycine max and application thereof. Specifically disclosed is the SSR core primer group, which comprises at least 5 pairs of primers (SEQ ID No. 1-460) in 230 pairs of primers. The application establishes a method for developing the whole genome SSR marker of Glycine max, which is comprehensive, accurate and reliable, and solves the problems of the current Glycine max SSR marker, such as small quantity, low polymorphism and low genome coverage. The SSR core primer group can maximize the reflection of the genetic diversity of Glycine max germplasm resources, has the characteristics of high polymorphism, uniform distribution, stable amplification, good reproducibility, clear site, clear and easy-to-distinguish statistical electrophoresis bands and the like, can accurately perform kinship analysis and diversity analysis, and is helpful to the researches such as genetic map construction, gene positioning, variety identification and variety DNA fingerprint construction, and has a wide application prospect.

The application discloses a kind of microorganism culture scheme customization recommendation method and system based on soil data analysis, it is related to microorganism culture scheme technical field, this method includes: by collecting different positions and depth of soil sample, analysis soil characteristic data and carry out data processing;Through soil DNA extraction, PCR amplification and high-throughput sequencing obtain microbial community information, combine data preprocessing and diversity analysis, assess microorganism distribution and function;According to soil characteristics and microbial community analysis result, select suitable microorganism strain;Microorganism culture scheme is combined with agricultural management measure;Through real-time monitoring soil and microorganism condition, based on feedback mechanism dynamically adjusts microorganism culture scheme;Through field test and advanced performance evaluation index, the effect of microorganism culture scheme is verified for a long time.The application has strong adaptability and sustainability, and can provide customized microorganism management scheme in different agricultural environments.

This invention discloses a cloud-based method for whole-genome genetic diversity analysis based on automated workflow, specifically in the field of gene diversity analysis. It addresses the problem of pruning imbalance by dividing read length segments based on sequence beginning and ending features and constructing quantile tags. Quality control and pruning steps achieve accurate characterization of the original read length structure. A mapping matrix is ​​used to correlate quality distribution with segment features, and a two-parameter risk mapping model using variable point potential energy and trough symmetry measures quantifies the truncation sensitivity coefficient, enabling accurate identification of hidden over-pruned segments. A sensitive index set drives the update of a slow-release pruning strategy, restoring stability in alignment coverage and variant integrity after replacing static thresholds. Combining coverage curves and variant distribution data, parameter caching is dynamically updated, forming a self-correcting process. A collaborative data-driven workflow is constructed to effectively smooth out abnormal peaks in the diversity analysis process and optimize cloud-based parallel stability and resource utilization efficiency.

The invention relates to the field of biological medicine, in particular to a BU (Behcet's disease uveitis) biomarker screening method based on an intestinal microorganism metagenome, a screened BU biomarker combination and application of the biomarker combination in BU diagnosis. The kit is especially suitable for early diagnosis of BU and differential diagnosis of other systemic immune diseases. The biomarker combination consists of 24 intestinal strains, and is obtained by analyzing excrement metagenome data of BU patients, other systemic immune disease patients and healthy controls through diversity analysis, LEfSe screening and ROC verification. The marker has high sensitivity and specificity, can effectively distinguish BU from healthy people and diseases such as VKH, AS, RA, CD and UC, is suitable for developing a non-invasive BU diagnostic kit, and remarkably improves the clinical diagnosis efficiency.

The invention belongs to the technical field of molecular markers, and particularly relates to a lily SSR primer and application thereof in population genetic diversity analysis. The lily SSR primer comprises 17 pairs of SSR labeled primers, namely, IdS1-IdS17, and 17 pairs of SSR labeled primers, namely, IdS1-IdS17. Each pair of SSR labeled primers comprises a forward primer and a reverse primer. According to the invention, SSR primers with relatively high polymorphism and relatively strong specificity are screened from lily germplasm by utilizing an SSR molecular marker technology, and the genetic diversity and genetic relationship of 200 parts of lily experimental materials under 20 populations are analyzed through 17 pairs of core primers obtained by screening. According to the method, the genetic diversity of the lilies is analyzed from the molecular level, the main source of genetic differentiation of the lilies is disclosed, clustering analysis is carried out on 200 lily germplasms, and the relation between geographic positions and genetic differentiation of lily populations is explored.