57 results about "Gene mining" patented technology

The invention provides an SNP (Single Nucleotide Polymorphism) site combination for genetic typing of micropterus salmoides and application of the SNP site combination. The SNP locus combination comprises 50000 SNP loci, and the positions and base information of the 50000 SNP loci on chromosomes are as shown in a table 3. By applying the micropterus salmoides whole genome liquid chip of the SNP site combination for genotyping of micropterus salmoides, provided by the invention, the genotype of a sample to be detected can be rapidly and accurately detected, and the average detection rate of the SNP sites and the average consistency rate of the genotype of the sample are as high as 99.95%; the micropterus salmoides whole genome liquid phase chip has the characteristics of high capture specificity, low cost, flexible sites and the like, is suitable for character breeding and improvement, gene mining, genetic relationship identification, genetic diversity analysis and the like of micropterus salmoides, and can effectively improve the breeding efficiency and accuracy of improved varieties of micropterus salmoides; and a new variety of largemouth micropterus salmoides which is more suitable for market requirements and is more competitive can be cultivated.

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

The invention discloses a dance culture symbol recognition evolution analysis method based on deep learning, and the method comprises the steps: constructing an improved feature pyramid network, adaptively extracting the visual features of multi-source heterogeneous dance symbols, improving the time sequence dynamic and culture connotation expression through combining a space-time joint attention and culture semantic enhancement module, and carrying out the recognition evolution analysis of the dance culture symbols. Performing comprehensive feature representation by utilizing a multi-modal fusion framework and integrating vision and text multi-modal information to generate multi-modal fusion features; a space-time evolution model is constructed based on multi-modal fusion features, and a historical evolution track of dance culture symbols is intelligently tracked in combination with change point detection and culture knowledge graph analysis; a dynamic cultural inheritance network is constructed by using multi-modal fusion features and a space-time evolution model, and dynamic dance symbol updating and future propagation trend prediction of the dynamic cultural inheritance network are realized through a cross-culture dance gene mining algorithm. And high-precision identification, analysis and evolution tracking of the dance culture symbols are realized.

The invention provides a halohydrin dehalogenase mutant and an application of the halohydrin dehalogenase mutant in synthesis of a chiral gamma-amino alcohol compound. Halogenated alcohol dehalogenase mutants enabling 2-substituted oxetane to be subjected to ring opening are obtained through the technologies of gene mining, directed evolution and the like, and the enzymes can directly perform ring opening on a substrate 2-aryl oxetane under the action of a nucleophilic reagent to generate a series of chiral gamma-amino alcohol compounds which are important precursors for synthesizing drugs. Therefore, the halohydrin dehalogenase mutants have important application value in the industry.

The invention discloses a progesterone 5beta-reductase mutant and application thereof in synthesis of 5beta-dihydrosteroid, relates to the technical field of biology, and in particular relates to application of gene mining and engineering modification of progesterone 5beta-reductase derived from bacteria in asymmetric synthesis of 5beta-dihydrosteroid. According to the progesterone 5 beta-reductase LpP5beta R disclosed by the invention, the progesterone 5 beta-reductase LpP5beta R from bacteria psoromais is obtained by a gene mining method, and the progesterone 5 beta-reductase LpP5beta R can be subjected to soluble expression in escherichia coli. The mutant obtained by mutating the wild type LpP5beta R has obviously improved catalytic ability on progesterone, and can efficiently catalyze delta 4-3-carbonyl steroids such as hydrocortisone, dinorcitol and the like to generate corresponding 5beta-dihydrosteroids. According to the invention, the technical bottlenecks of poor heterologous expression and low catalytic efficiency of plant-derived progesterone 5beta-reductase are solved, and a potential biocatalyst is provided for green manufacturing of 5beta-dihydrosteroid drugs.

The invention discloses an application of a TaAP2-4 gene in regulating and controlling starch content of wheat grains, which is used for enhancing the expression quantity of the TaAP2-4 gene to improve the starch content of the wheat grains and weakening the expression quantity of the TaAP2-4 gene to reduce the starch content of the wheat grains. The TaAP2-4 gene is located on a chromosome 4 of a wheat genome, and three copies, namely TaAP2-4-A, TaAP2-4-B and TaAP2-4-D, are formed on the chromosome 4. According to the invention, a Crispr / Cas9 gene editing vector for knocking out the TaAP2-4 gene is constructed by adopting a reverse genetics method, the TaAP2-4 gene is successfully knocked out in a wheat material by adopting an agrobacterium-mediated method, and the starch content of a knocked-out mutant is reduced, so that the condition that the TaAP2-4 gene plays a positive regulation role in a wheat grain starch synthesis process is known. In practical application, directional knockout mutation of the genome level TaAP2-4 gene can be achieved through a gene transformation process, the gene knockout mutation method can be used for verifying functions of the TaAP2-4 gene, and materials are provided for mining other starch synthesis related genes.

The invention belongs to the field of biology, and particularly relates to a rhododendron molle heat shock protein RmHSP20-4 gene and application thereof. The RmHSP20-4 participates in response of rhododendron molle to high-temperature stress, and can be used for screening high-temperature tolerance germplasm of rhododendron molle and evaluating high-temperature tolerance of sheep. The gene is transferred into a prokaryotic expression strain, the growth of the transgenic strain under the stress of CdCl2 and high temperature is obviously improved, and the RmHSP20-4 gene and a protein coded by the RmHSP20-4 gene provide candidate genes for the cultivation of Rhododendron molle heavy metal resistance, high temperature stress resistance and other related varieties. A new candidate gene resource is provided for cultivating transgenic plants or microorganisms with excellent shapes such as heavy metal resistance and high temperature stress resistance, and an important reference is also provided for mining heat-resistant genes of azaleaceae plants.

The invention provides a VvYUC10 gene, the nucleotide sequence of the VvYUC10 gene is as shown in SEQ ID No.1, or the nucleotide sequence which is obtained by substituting, deleting and / or adding one or more nucleotides to the nucleotide sequence as shown in SEQ ID No.1 and expresses proteins with the same function; the invention also provides an application thereof. The grape VvYUC10 gene has the advantages that the function of the grape VvYUC10 gene is verified, it is found that the content of auxin in calluses of overexpressed VvYUC10 arabidopsis thaliana and grapes under salt stress is increased, the oxidation resistance is enhanced, and it is further found that the expression quantities of the VvRD22 gene, the VvDREB2A gene, the VvRD29A gene, the VvP5CS gene, the VvCAT1 gene and the VvSOD gene are increased; finally, it shows that the VvYUC10 gene positively regulates and controls the auxin signal channel to positively resist external adverse environmental factor salinization, and a theoretical reference basis is provided for grape salt-tolerant gene mining and breeding.

The invention relates to the technical field of microbial directional cultivation, in particular to a gene editing-based MICP functional bacteria directional cultivation method and system, and the method comprises the following steps: obtaining an original strain library with MICP activity, carrying out strain activation on the original strain library, carrying out high-throughput sequencing on the original strain library, and carrying out gene mining on an initial sequence; the method comprises the following steps: carrying out gene editing on strains in an initial strain library by using a gene editing tool, carrying out shake-flask activation on engineered candidate strains to obtain an activated recombinant bacterium solution, carrying out high-density culture on the activated recombinant bacterium solution by using a pre-constructed fermentation tank, screening out an MICP strain with the optimal function, carrying out continuous passage bacterium function detection on the optimal MICP strain, and carrying out high-density culture on the MICP strain with the optimal function. And based on the MICP functional bacteria, finishing directional cultivation of the MICP functional bacteria based on gene editing. According to the invention, directional cultivation of the MICP functional bacteria is efficiently realized by accurately targeting the key gene with the MICP function, and the MICP functional bacteria are corrected when the problems of function instability and the like exist, so that the more stable MICP functional bacteria are obtained.

The invention belongs to the technical field of agronomy, and provides a high-throughput measurement method for the transverse diameter and the longitudinal diameter of a pineapple fruit based on image processing, which comprises the following steps: measuring the transverse diameter and the longitudinal diameter of the pineapple fruit by using a vernier caliper to obtain transverse diameter and longitudinal diameter data of the fruit, and constructing a training set and a test set; the method for automatically measuring the longitudinal stem and the transverse diameter of the pineapple fruit based on an open source computer vision library (OpenCV) is established, an efficient and accurate method is provided for high-throughput accurate evaluation of pineapple germplasm resource fruits, and accurate data support is provided for genetic analysis and gene mining of pineapple fruit size characters. And a good foundation is laid for the breeding of a new variety of the large-fruit pineapple.

The invention provides application of GW5 gene promoter methylation based on a multi-omics gene mining technology in regulation and control of rice grain length, and relates to the technical field of biology. On the basis of a generic genome micro-core germplasm population, multi-dimensional omics data such as a genome and an epigenome are integrated, a rice epigenome map is constructed, a stable methylation polymorphism marker in the map is utilized, a rice grain width phenotype is combined to carry out multi-omics association analysis, a new epigenetic allele of the GW5 gene is successfully mined, and the GW5 gene is successfully identified. It is found that the upstream promoter region of the GW5 gene has two epigenetic states of hypermethylation and hypomethylation in different rice germplasm backgrounds, and after demethylation editing is carried out on the region, the phenotype that the grain length is remarkably increased is shown. Therefore, detection of the rice grain length character can be realized according to the promoter methylation level of the GW5 gene, and regulation and control of the rice grain length character can be realized by regulating and controlling the promoter methylation level of the GW5 gene.

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

The invention provides a larch pine caterpillar resistance gene mining method based on GWAS and multi-omics data, and belongs to the technical field of gene mining. The method comprises the following steps: S1, carrying out insect-resistant phenotype identification on larch individuals, and carrying out variation identification on the larch individuals based on a liquid-phase gene chip sequencing technology; s2, using a mixed linear model to perform correlation analysis by taking a plot position and phenotype observation time as an interaction environment, taking population density at different observation time as a covariable and taking a larch anti-deciduous pine caterpillar index as a phenotype, and identifying a candidate QTL region; and S3, carrying out transcriptome sequencing on resistance extreme individuals, carrying out variation recognition, comparing read segments to the candidate QTL region, and manually analyzing and annotating a gene structure in the QTL region by using IGV. According to the method disclosed by the invention, low-cost variation recognition, environment noise weakening whole genome association analysis and gene structure accurate annotation on complex genome species are realized.

The invention relates to the technical field of gene engineering, in particular to an application of a YJL151C gene or a protein thereof. On the basis of SCRaMbLE rearrangement, bioinformatics analysis and phenotypic analysis are combined for gene mining work, and a series of tolerance-related genes are obtained. The research finally finds that the over-expression of the YJL151C gene can improve the drug resistance of the strain to nystatin, and a drug-resistant strain with precise corrosion resistance is provided for the food fermentation industry. The strain can also be cooperated with other antagonistic microorganisms to be used for biological prevention and control of crops or feed.

The invention discloses development, preparation and application of a liquid phase chip for detecting wheat high-yield wide-application related traits, and belongs to the technical field of nucleic acid detection molecules. The technical problem to be solved by the invention is how to realize quick and accurate detection of multiple SNP sites of wheat. The chip for detecting the genotype of the SNP site of the wheat comprises a reagent for specifically detecting the SNP site, the SNP sites are 5452 SNP sites in a table 1; the position information of the SNP locus is determined by comparison on the basis of a wheat genome reference sequence Triticumastivum IWGSCv1.0 version, and the position information of the SNP locus is determined by comparison on the basis of the wheat genome reference sequence Triticumastivum IWGSCv1.0 version. The 5452 SNP molecular marker combination provided by the invention is strong in representativeness, high in polymorphism, good in universality, high in coverage rate on a genome and uniform in distribution, and is particularly suitable for applications such as chip preparation, molecular marker-assisted selection, directional improvement, important character gene mining and identification, function analysis and the like.

The invention belongs to the technical field of gene mining, and particularly relates to a multi-level evidence and artificial intelligence character key gene mining method and system, and the method comprises the steps: S1, constructing a multi-omics database and integrating an interaction network; s2, predicting by using different machine learning algorithms; s3, constructing and applying an online platform: developing the online platform based on an integration result, and integrating a part of known interaction relationship databases; and systematically analyzing a genetic network of plant height, grains and drought resistance characters, and mining key genes. According to the method, the interaction network and multi-omics data are integrated, the mutual relation between functional genes is enriched, and all related genes of target characters are mined. And meanwhile, quantitative integration is performed on the relationship of the genes by utilizing artificial intelligence, and the importance of the related genes can be ranked. By means of the method, all related genes of the target character can be found out, key genes can be verified preferentially according to importance, and the method has important guiding significance on target character inheritance and molecular analysis.

This invention discloses a method for microbial association gene mining that combines whole-genome sequencing and metagenomic sequencing, specifically relating to the field of bioinformatics data processing technology. The method includes acquiring host whole-genome sequencing data, metagenomic sequencing data, and sample attribute data of a target population. Within an industrial cloud computing environment, it performs biallelic locus extraction, genotype quality control, calculation of the relative abundance of the target microorganism, and resolution of fixed terms and principal component terms, outputting a locus table, abundance table, fixed term table, and principal component term table. By performing inclusion and removal comparisons on each fixed term and principal component term, the method resolves the association differences of the same host locus under different covariate compositions, determines the dominant terms accordingly, and then combines gene annotation to screen out conditionally dominant loci and candidate genes.

This invention discloses a method for wheat grain quality detection and functional gene analysis based on hyperspectral imaging technology, belonging to the field of agricultural testing technology. The method includes: extracting hyperspectral indices; measuring wheat grain quality indicators as manual measurements; assigning weight coefficients to each quality indicator to digitize the wheat quality phenotype; extracting characteristic wavelengths to establish predictive models for each indicator and wheat quality values; performing GWAS on hyperspectral indices and chemical indicators as phenotypic traits with genotypes to screen SNP loci, conduct co-location analysis, obtain candidate genes, and perform functional verification. This invention, through hyperspectral technology combined with chemometric modeling, is suitable for real-time monitoring during wheat quality breeding and processing; by combining spectral phenotype with GWAS gene mining, it overcomes the limitations of traditional quality detection that only serves phenotypic screening, forming a closed loop of "non-destructive detection - gene localization," providing targeted genes for wheat quality improvement.

The invention belongs to the field of biology, and particularly relates to a rhododendron molle heat shock protein RmHSP20-5 gene and application thereof. The RmHSP20-5 gene participates in response of rhododendron molle to high-temperature stress, and can be used for screening high-temperature tolerance germplasm of rhododendron molle and evaluating high-temperature tolerance of sheep. When the gene is transferred into a prokaryotic expression strain, the growth of the transgenic strain under low-temperature stress, high-temperature stress, sodium chloride stress and cadmium chloride stress is obviously improved, and a new candidate gene resource is provided for cultivating transgenic plants or microorganisms with excellent shapes such as heavy metal resistance and high-temperature stress resistance; and an important reference is provided for mining of the heat-resistant gene of the azaleaceae plant.

The invention provides an arylalkylamine N-acetyltransferase mutant and an application of the arylalkylamine N-acetyltransferase mutant in synthesis of N-acetyl-5-hydroxytryptamine. According to the invention, a series of mutants with N-acetylation activity are obtained through gene mining, directed evolution and the like, and the mutants can directly acetylate a substrate 5-hydroxytryptamine to generate N-acetyl-5-hydroxytryptamine. Therefore, the arylalkylamine N-acetyltransferase mutants have important application value in the industry.

The invention discloses a wheat grain quality detection and functional gene analysis method based on a hyperspectral imaging technology, and belongs to the technical field of agricultural detection. The method comprises the following steps: extracting a hyperspectral index; determining a wheat grain quality index as an artificial measurement value; a weight coefficient is given to each quality index, and the wheat quality phenotype is digitalized; extracting a characteristic wavelength, and establishing a prediction model of each index and a wheat quality value; gWAS, SNP site screening and co-localization analysis are performed on the hyper-spectral index and the chemical index as phenotypic characters and genotypes respectively, and candidate genes are obtained and subjected to functional verification. The method combines a hyperspectral technology with chemometrics modeling, and is suitable for real-time monitoring in wheat quality breeding and processing processes; the spectrum phenotype is combined with GWAS gene mining, the limitation that traditional quality detection only serves phenotype screening is broken through, a'nondestructive testing-gene positioning 'closed loop is formed, and a target gene is provided for wheat quality improvement.

The invention discloses a multifunctional bioactive peptide P3 derived from saccharomyces cerevisiae and application of the multifunctional bioactive peptide P3 based on combination of polypeptide coding gene mining and experimental verification, and belongs to the technical field of biology. The amino acid sequence of the multifunctional bioactive peptide P3 provided by the invention is ISCFSLICNRHF (International Standard Culture Collection Short Language Induced Nuclear Receptor The multifunctional bioactive peptide P3 has triple activities of cancer resistance, bacteria resistance and oxidation resistance at the same time, can effectively inhibit proliferation of cancer cells when acting on a mouse melanoma cell line B16 after being dissolved in ultrapure water, can inhibit proliferation of bacteria when acting on escherichia coli DH5alpha, and also has the capability of removing oxyradicals, so that the multifunctional bioactive peptide P3 can be used for preparing a medicine for treating cancer. Therefore, the multifunctional bioactive peptide P3 not only can be used for developing drugs capable of inhibiting tumor cell activity or anti-tumor activity, but also can be used for preparing antibacterial preparations or antioxidant preparations. The method provided by the invention also provides a good reference for developing more gene-coded bioactive polypeptides.

The invention relates to a dactylicapnos root O-methyltransferase DsOMT018 gene and application thereof, and belongs to the technical field of biology. The nucleotide sequence of the DsOMT018 gene is shown as SEQ ID NO.1, the amino acid sequence of the encoded protein of the DsOMT018 gene is shown as SEQ ID NO.2, and the DsOMT018 gene can be used for preparing isocorydine and corydine. The separation and identification of the DsOMT018 not only breaks through the technical bottleneck of non-model plant gene mining, but also provides a new normal form for sustainable manufacturing of high-added-value alkaloids through full-chain innovation of'precise catalysis-metabolic network-green production '. The advantages of the isocorydine and corydine in synthesis of isocorydine and corydine can promote the leap-wise development of the fields of natural medicine development and synthetic biology.

The application provides a multi-omics gene mining technology-based method for detecting and regulating rice grain length GW5 The application relates to the technical field of biology, and relates to application of gene promoter methylation in regulation of rice grain length. The application is based on a pan-genome micro-core germplasm population, integrates multi-dimensional omics data such as genomes and epigenomes, constructs an epigenome atlas of rice, and uses stable methylation polymorphic markers in the atlas to combine with a rice grain width phenotype to perform multi-omics correlation analysis, successfully mines a new epiallele of a gene, discovers GW5 a new epiallele of a gene, and discovers GW5 that a high-methylation and low-methylation epigenetic state exists in an upstream promoter region of the gene in different rice germplasm backgrounds, and that after demethylation editing is performed on the region, a phenotype of significantly increased grain length is exhibited. Therefore, according to GW5 a methylation level of a promoter of the gene, detection of a rice grain length trait can be realized, and by regulating GW5 a methylation level of a promoter of the gene, regulation of a rice grain length trait can be realized.

The present invention discloses a method for cancer driver gene mining and interpretability analysis based on heterogeneous networks. The method comprises: constructing a multi-omics heterogeneous network and extracting initial node features through the multi-omics heterogeneous network; constructing an information transfer subgraph by random walk along a specific meta-path, and performing meta-path-based heterogeneous network feature extraction to obtain a representation vector of the gene node; inputting the representation vector of the gene node into a multi-layer linear classifier, using the multi-layer linear classifier to perform node classification, and outputting the analysis results of the cancer driver gene. The present invention calculates the representation vector within the meta-path through a network representation algorithm that includes multi-head attention and self-attention mechanisms, and calculates the contribution weight of each meta-path to the classification problem through global attention, thereby obtaining a more robust and effective cancer driver gene prediction result.

The invention discloses a tNGS-based intestinal flora detection method, a kit and application thereof, and belongs to the technical field of gene detection. According to the method, firstly, the intestinal flora containing functional genes is obtained through gene mining, then a large number of primers aiming at specific sequences of the intestinal flora are designed, and the primers can be specifically combined with target nucleic acid fragments in a to-be-detected sample. Through multiple rounds of PCR amplification and large-scale sequencing by using a high-throughput sequencing technology (NGS), a specific gene sequence contained in a sample can be accurately identified, so that the variety, abundance and related functional gene information of donor or receptor intestinal microorganisms are deduced, detailed analysis of donor or receptor intestinal flora is realized, and the method has the advantages of high specificity, high specificity, high sensitivity and the like. And a basis is provided for evaluating the flora disorder degree of the donor and the receptor and matching the donor and the receptor.

The invention discloses a grass carp high-density whole genome 50K SNP (Single Nucleotide Polymorphism) chip and application thereof. Genetic typing objects of the chip comprise 49 and 635 SNP sites on the whole genome of the grass carp, the SNP sites cover 23835 genes of the grass carp, and the positions and genotypes of the SNP sites on the genome (PRJNA1368393) of the grass carp are shown in the specification table 1. The SNP is derived from re-sequencing results of 351 samples, is rich in gene region sites, high in typing accuracy and high in repeatability, is an accurate and efficient molecular breeding chip, can be widely applied to application scenes of grass carp germplasm resource identification, genetic diversity evaluation, target character gene mining and whole genome selective breeding, and has a wide application prospect. The method has the advantage of low detection cost and is beneficial to further improving the grass carp breeding efficiency.

The invention provides a big language model and multi-modal data-based complex character gene mining method and system, and belongs to the technical field of gene data analysis, the method comprises the following steps: obtaining a statistical data set containing multi-modal data of different bean populations; annotating all genes in the statistical data set based on a reference genome to obtain a whole genome semantic map; if the large language model receives a site of a target significance character, calculating a comprehensive score of each gene at the site by using the large language model based on the whole genome semantic map and the site, and determining a complex character gene based on the comprehensive score of each gene; and if the large language model does not receive the locus of the target saliency character, determining candidate genes by using the large language model based on the target saliency character, and determining complex character genes from the candidate genes by using the large language model based on the whole genome semantic map. According to the invention, the most essential gene influencing the target significance character can be positioned.

The invention discloses a fatty acid metabolism regulation gene mining method based on transcriptome data driving, a FindGene platform developed by the invention can efficiently integrate and standardize large-scale RNA-Seq data, systematic mining function related genes are analyzed through a weighted gene co-expression network, and the gene mining efficiency is improved. The limitation of dependence on small-scale experiments and manual screening in the past is broken through, and the efficiency and accuracy of key regulation gene screening are greatly improved. According to the schizosaccharomyces cerevisiae engineering strain QH-7 constructed by carrying out site-directed mutagenesis, overexpression and combined transformation on a key gene obtained by screening, the yield of fatty acid reaches 2.12 g / L and is increased by about 118.6% compared with that of a wild strain, and the biosynthesis efficiency of the fatty acid is greatly improved. According to the modified strain, the total fatty acid content is increased, meanwhile, the proportion of unsaturated fatty acids (C16: 1, C18: 1 and C18: 2) is remarkably increased, and the requirements for high-quality lipid raw materials in the fields of downstream biofuels, nutritional supplements and the like are met.

The invention discloses a corn pythium stem rot resistance phenotype accurate identification method based on adaptive gene mining, and particularly relates to the field of corn disease resistance identification and gene mining, and the method comprises the following steps: S1, selecting a corn material to be identified, planting the selected corn material in a greenhouse, and adopting a unified seedling culture substrate and cultivation management measures to ensure that the growth state of corn seedlings is consistent; step S2, inoculating a strong pathogenicity pythium miscanthus or fusarium graminearum strain on a PDA plate culture medium with the diameter of 9 mm and containing 20 mL of sterilized bacteria, carrying out dark culture at 25 DEG C for 5-7 days, and preparing to inoculate when hyphae are fully distributed on the surface of PDA; s3, phenotype data collection is conducted on the 3th day, the 7th day, the 10th day and the 14th day after inoculation. According to the method, strict requirements of accurate gene mining on phenotypic data stability are met, disease-resistant gene omission caused by index one-sidedness is avoided, and comprehensiveness and accuracy of adaptive gene mining are remarkably improved.