99 results about "Diversity analysis" patented technology

The invention discloses a microbiological culture scheme customization recommendation method and system based on soil data analysis, and relates to the technical field of microbiological culture plants.The method comprises the steps that soil samples at different positions and depths are collected, soil characteristic data are analyzed, and data processing is carried out; microbial community information is obtained through soil DNA extraction, PCR amplification and high-throughput sequencing, and distribution and functions of microorganisms are evaluated in combination with data preprocessing and diversity analysis; selecting proper microbial strains according to soil characteristics and microbial community analysis results; a microbial culture scheme is combined with agricultural management measures; the conditions of soil and microorganisms are monitored in real time, and a microorganism culture scheme is dynamically adjusted based on a feedback mechanism; through field trials and advanced performance evaluation indexes, the effect of the microbial culture scheme is verified for a long time. The method has high adaptability and sustainability, and customized microorganism management schemes can be provided in different agricultural environments.

The invention provides a wetland ecological protection area biodiversity evaluation system, and relates to the technical field of ecological system diversity evaluation. The evaluation system comprises a data acquisition and management module, a species diversity analysis module, an ecological system function evaluation module, a threat factor identification and analysis module, a decision support and suggestion module and a data visualization and report module. According to the invention, the system is a platform integrating data collection, analysis, assessment and decision support, aims to comprehensively assess the biological diversity condition in the wetland ecological system and provide a scientific basis for sustainable management and protection of the wetland, not only can realize scientific and systematic management of wetland ecological protection, but also can provide a scientific basis for the sustainable management and protection of the wetland. The sustainable development of biological diversity protection can be promoted, the relationship between the biological diversity and ecological processes such as material circulation and energy flow in the wetland ecological system can be better understood through the evaluation system, and the ecological process of the wetland ecological system can be deeply understood.

The invention discloses a database construction method for identifying cunninghamia lanceolata germplasm resources and application, and belongs to the technical field of biological breeding. The invention discloses a database construction method for identifying cunninghamia lanceolata germplasm resources. The method comprises the following steps: 1) collecting data; 2) data standardization processing; 3) designing a database; 4) creating a database; 5) algorithm integration; 6) establishing a database website; and 7) inputting, updating and maintaining data. The database for identifying the cedarwood germplasm resources comprises a cedarwood germplasm resource data management module, a picture management module, a data analysis module and a user management module. The result of the embodiment shows that the database is suitable for genetic diversity analysis, principal component analysis and comprehensive evaluation of the cunninghamia lanceolata germplasm resources.

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 discloses a primer combination developed based on idesia polycarpa whole genome sequencing and application of the primer combination, and belongs to the technical field of molecular biology. The idesia polycarpa primer combination comprises 18 pairs of SSR primer pairs and / or 30 IRAP primers. Through multiple rounds of screening and verification, the idesia primer combination has the characteristics of codominance, high repeatability, high polymorphism, good stability and the like, can be applied to idesia genetic diversity analysis and genetic relationship analysis, and can also be used for idesia and related genus germplasm genetic identification, breeding and the like. The SSR primer pair and the IRAP primer in the primer combination can be used independently or combined for comprehensive analysis, a more reliable molecular marker is provided for idesia genetic diversity analysis and variety genetic relationship analysis, and the primer combination has important theoretical and practical values.

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 discloses a pea whole genome 20K SNP (Single Nucleotide Polymorphism) liquid phase breeding chip and application thereof, the liquid phase breeding chip comprises 21 and 659 SNP loci on a pea whole genome, the SNP loci comprise published 235 reliable functional loci obviously related to 57 characters, and examples for pea sample genetic typing are provided. The chip can be widely applied to important character analysis, germplasm resource genetic diversity analysis, variety identification analysis, auxiliary selective breeding, population structure analysis, heredity and evolution analysis, genetic relationship identification, whole genome association analysis or genome selection of peas, and is helpful for improving the pea breeding efficiency; the innovation and improvement of pea varieties are promoted.

The invention provides a microbial community analysis method based on statistical analysis, and belongs to the technical field of microbial community analysis. The microflora analysis method comprises the following steps: collecting a plurality of water samples, and carrying out pretreatment; sequencing the microflora of the water sample by adopting high-throughput sequencing to obtain a microflora sequencing result; preprocessing the microbial community sequencing result by adopting OTU clustering analysis and species annotation to obtain a data preprocessing result; and analyzing the data preprocessing result by adopting a statistical method. According to the method disclosed by the invention, various microorganisms in the water sample are sequenced by adopting high-throughput sequencing, the sequencing process is rapid, the result is accurate, and the microflora sequencing result is analyzed by combining various statistical analysis means such as difference analysis, similarity analysis and diversity analysis; and the structural composition and characteristics of the microbial community can be analyzed more comprehensively and accurately.

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 discloses a paleontology diversity analysis method based on a dynamic machine learning joint correction model, and the method comprises the steps: obtaining a paleontology data sample, and carrying out the missing value processing, abnormal value detection, data standardization and time data mapping preprocessing of the paleontology data sample; performing dynamic interval division on the preprocessed paleontology data sample, and realizing adaptive time interval division by adopting multiple algorithms; non-uniform weight distribution is realized through data driving weights; enhanced diversity analysis is carried out on an optimized data set, including interval division processing on the data set, feature evidence extraction and interval weight calculation, integrated interval weighted diversity dynamic calculation, weighted survivor analysis, interval sub-sampling analysis and other methods, so that diversity calculation is more accurate; and outputting a diversity curve, a data table and a performance evaluation result. The method better adapts to the imbalance of fossil records, and the recognition capability of key biological events is improved.

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 provides a primer group for identifying astragalus mongholicus and an identification method of astragalus mongholicus, and belongs to the technical field of molecular markers, the primer group comprises a primer 186781F and a primer 186781R; the nucleotide sequence of the 186781F is as shown in SEQ ID NO. 1, and the nucleotide sequence of the 186781R is as shown in SEQ ID NO. 2. The primer group provided by the invention is designed aiming at the SSR molecular marker, and the SSR molecular marker has the advantages of uniform distribution, rich polymorphism, good amplification repeatability, clear banding pattern and the like in an astragalus membranaceus genome, and is suitable for detection of a common denaturing polyacrylamide gel electrophoresis detection platform and a capillary fluorescence detection platform; the method can be further applied to the research fields of astragalus genetic diversity analysis, variety identification, DNA fingerprint construction, molecular marker-assisted breeding and the like.

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 present invention provides a SNP molecular marker combination for constructing the grouping of eggplant lines. Based on the whole-genome resequencing data of 577 collected eggplant lines, 1009 polymorphic SNP marker combinations were screened out from millions of SNPs, and the SNP marker combination for constructing the grouping of eggplant lines was successfully constructed. This marker combination is evenly distributed on 12 chromosomes of eggplant and has high polymorphism. Based on the characteristics of high marker density, strong automation, and high detection throughput of the liquid-phase probe chip based on this SNP marker, it is more conducive to establishing an eggplant population grouping system. This marker combination can provide theoretical and data support for work such as the identification of new eggplant lines, molecular marker-assisted selection breeding, genome-wide selection, and population genetic diversity analysis, and has relatively important theoretical value and application significance.

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 belongs to the technical field of biological detection, particularly relates to an SSR (simple sequence repeat) primer group for oat genetic diversity analysis and variety identification and application thereof, and develops 14 pairs of primers (nucleotide sequences of the primers are as shown in SEQ ID NO.1-28) which are high in polymorphism and stable in amplification and are used for the oat genetic diversity analysis; 4 pairs of primers are combined to establish DNA fingerprint codes of 48 oat varieties, and the codes have uniqueness; the four pairs of primers can accurately and efficiently identify the authenticity of the oat varieties, prevent counterfeit and shoddy varieties from entering the market, provide technical reference for reasonable utilization of excellent germplasm in the breeding process of the oat varieties, and analyze the genetic relationship among the oat varieties, so that the breeding accuracy of the oat varieties is improved. And support can be provided for protection and utilization of excellent germplasm resources of the oats.

The invention discloses EST-SSR primers developed based on a waterlogging transcriptome sequence of phoenix peony and applications thereof, wherein the EST-SSR primers developed based on the waterlogging transcriptome sequence of phoenix peony include 20 pairs of primers P1-P20, the sequences of P1-P20 are respectively shown as SEQ ID No.1 to SEQ ID No.40, and have the advantages of clear amplification bands, high polymorphism, good repeatability, strong versatility, and the like. The invention fills the gap of SSR markers of candidate genes related to the waterlogging trait of phoenix peony, enriches the number of peony EST-SSR primers, and can utilize the EST-SSR primer set developed by the invention to carry out molecular identification, genetic diversity analysis, kinship analysis, molecular marker-assisted selection breeding, and the like of peony varieties in the south of the Yangtze River, especially to provide a favorable technical means for early screening of waterlogging-resistant varieties.

A system for detecting and visualizing demographics, diversity and disparity in user-generated videos includes a collection of user-generated content, such as videos, having demographic information, a target collection of content having defined diversity information, creator content having diversity information, and a processor capable of performing a diversity analysis on the user-generated content, providing an indication of disparity between the user-generated content and the target collection of content, and taking an action based on the analysis to modify the collection to more closely reflect the target collection of information such as providing the disparity analysis to a vendor so that the vendor can prepare a promotional campaign to a target group of customers more closely identified with its demographic profile.

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 discloses a deep sea mining area bacteria monitoring data analysis method, which comprises: collecting a deep sea environment DNA sample, carrying out PCR amplification on a 16S rRNA V3-V4 region by using a specific primer, obtaining sequence data through high-throughput sequencing, carrying out quality control, sequence splicing and non-microorganism removal on the sequence data, and carrying out quantitative analysis on the sequence data. And merging according to 100% sequence similarity to generate environmental DNA abundance data and environmental DNA sequence data. And the de-noised abundance data and the sequence data subjected to exclusion, mapping, normalization and Fourier transform are used as input to be sent into a multi-mode variational inference model to implement dimension reduction. And finally, carrying out classification annotation and diversity analysis on the flora by utilizing dimension reduction data. According to the method, the composition and diversity change of the bacterial community in the deep sea mining area can be accurately revealed, and a flexible and reliable technical platform is provided for ecological monitoring of the deep sea mining area and evaluation of the influence possibly caused by exploration and development of mineral resources on the marine environment.

The present invention belongs to the technical field of biological detection, and particularly relates to an SSR primer set for oat genetic diversity analysis and variety identification and its application. The present invention has developed 14 pairs of primers with strong polymorphism and stable amplification (the nucleotide sequences thereof are shown in SEQ ID NO.1-28) for oat genetic diversity analysis; by combining 4 pairs of the primers, DNA fingerprint codes of 48 oat varieties have been established, and the codes are unique; the 4 pairs of primers of the present invention can accurately and efficiently identify the authenticity of oat varieties, prevent fake and inferior varieties from entering the market, and at the same time provide a technical reference for the rational utilization of excellent germplasm in the process of oat variety breeding. Meanwhile, by analyzing the genetic relationships among various oat varieties, support can be provided for the protection and utilization of excellent oat germplasm resources.

The invention belongs to the technical field of molecular biology, and particularly relates to an SSR molecular marker combination, a primer pair of the SSR molecular marker combination and application of the SSR molecular marker combination in pistacia chinensis bunge genetic diversity analysis and fingerprint spectrum construction. The SSR molecular marker combination comprises an SSR molecular marker CUPVD117, an SSR molecular marker PC64, an SSR molecular marker Ptg12, an SSR molecular marker PCB-b12, an SSR molecular marker PCB-b13, an SSR molecular marker PCB-b32, an SSR molecular marker PCB-c11, an SSR molecular marker PCB-d2, an SSR molecular marker PCB-d4 and an SSR molecular marker PCB-j12. The SSR molecular marker combination can be applied to pistacia chinensis bunge genetic diversity analysis and pistacia chinensis bunge fingerprint spectrum construction. A first genome of pistacia chinensis bunge is analyzed, 10 pairs of SSR molecular marker primers are screened, genetic diversity analysis is performed on Chinese pistacia chinensis bunge germplasm resources nationwide by utilizing the 10 pairs of SSR molecular marker primers, and a pistacia chinensis bunge fingerprint spectrum is constructed by utilizing the 10 pairs of SSR molecular marker primers, so that the pistacia chinensis bunge polymorphic sites are expected to be accurately positioned; the method has important production and scientific research values.

The present invention provides a high-throughput specific InDel molecular marker for the whole genome of yellow peel and its application. The present invention mines InDel sites to develop molecular markers based on the results of whole genome resequencing analysis of 94 yellow peel germplasm resources, and selects 138 pairs of polymorphic marker primers through verification. 28 InDel markers were randomly selected from them to carry out cluster analysis on 38 yellow peel germplasm resources, revealing their genetic diversity. The results showed that the effective allele number ranged from 1.7304 to 2, the gene polymorphism index was between 0.333 and 0.375, and the Shannon diversity index was between 0.613 and 0.693. The cluster analysis results showed that at the genetic similarity coefficient of 0.57, the 38 yellow peel resources were divided into 2 subgroups. The results of this study laid a foundation for the subsequent breeding of yellow peel.