294 results about "Synexpression" patented technology

The invention provides a carbonyl reductase mutant. The carbonyl reductase mutant is obtained by performing single-point mutation or multi-point combined mutation on the 17th site, the 40th site and the 64th site of an amino acid sequence as shown in SEQ ID NO.1. The invention also provides a coding gene, a recombinant vector containing the coding gene, a co-expression engineering bacterium and an application of the co-expression engineering bacterium. Compared with a wild type enzyme, the carbonyl reductase mutant has high activity and high stereoselectivity, the enzyme activity can reach more than two times that of the wild type enzyme, the catalytic efficiency on a substrate precursor ketone is remarkably improved, the yield of a statin drug intermediate and chiral alcohol synthesized by an enzyme method of the carbonyl reductase mutant is remarkably improved, and the yield of a rosuvastatin intermediate (3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R, 3R) is remarkably improved. The highest yields of the (3R, 5R)-6-chloro-3, 5-dihydroxyhexanoic acid tert-butyl ester and the atorvastatin intermediate (3R, 5R)-6-cyano-3, 5-dihydroxyhexanoic acid tert-butyl ester reach 99% and 97.6% respectively, e.e. Is larger than 99%, and the method has high industrial application value.

The invention discloses a thermostable conjugated polyketoreductase mutant, which is obtained by performing single-point mutation or multi-point combined mutation on the 25th site, the 92th site, the 214th site or the 256th site of an amino acid sequence as shown in SEQ ID NO.1. The invention further discloses a preparation method of the thermostable conjugated polyketoreductase mutant. The initial enzyme activity of the mutant is high, and the residual enzyme activity is gt after incubation at 50 DEG C; the Tm value can be increased by more than 9 DEG C compared with that of an original strain, the 50 DEG C half-life period t1 / 2 is increased by more than 377.8 times, and the thermal stability is obviously improved. The invention also provides a coding gene, a recombinant vector containing the coding gene and a co-expression engineering bacterium. The thermostable conjugated polyketoreductase mutant, glucose dehydrogenase and L-pantolactone dehydrogenase are used for constructing a three-enzyme co-expression engineering bacterium as a biocatalyst, racemization pantolactone is catalyzed to synthesize DPL, for a 1M substrate, the yield of the DPL reaches 97.5% within 36 hours, KPL hydrolysis is avoided, the reaction time is shorter, the product concentration is higher, and the thermostable conjugated polyketoreductase mutant has great market application value.

The invention discloses a key gene identification method related to tobacco nitrogen response, which comprises the following steps: S1, setting four nitrogen fertilizer gradient treatments on the basis of same phosphorus and potassium fertilization by adopting a field experiment of a completely random block; s2, randomly taking the 6th to 8th leaves of the five plants in each area, and dividing a sample into two parts: quickly freezing one part with liquid nitrogen, and storing at-80 DEG C for RNA (Ribonucleic Acid) extraction and transcriptome sequencing; one part is used for measuring the nitrogen content, and after baking and drying treatment, a KjeltecTM8100 automatic nitrogen analyzer is used for measuring; s3, nitrogen content determination: determining the nitrogen content in the treated sample by using an automatic nitrogen analyzer KjeltecTM8100; according to the method, high-throughput transcriptome sequencing and weighted gene co-expression network analysis (WGCNA) are combined, so that not only can gene expression maps of flue-cured tobacco leaves treated by different nitrogen fertilizers be comprehensively captured, but also gene modules with similar expression modes can be mined from a global perspective.

The invention belongs to the field of bioengineering, and particularly relates to phosphorylcholine cytidyltransferase and application thereof in preparation of citicoline, and the specific application is that the phosphorylcholine cytidyltransferase can efficiently catalyze phosphorylcholine and CTP to react to generate citicoline. The phosphorylcholine cytidyltransferase is prepared by the following steps: synthesizing a coding gene of the phosphorylcholine cytidyltransferase, selecting pHT01 as an expression vector, co-expressing with choline kinase, transforming into host bacteria, and inducing protein expression. According to the choline phosphate cytidyltransferase disclosed by the invention, under the same reaction condition and within the same reaction time, the yield of a citicoline product obtained by conversion is higher than that of choline phosphate cytidyltransferase (ScCCT) which is most commonly used in the market at present and is derived from saccharomyces cerevisiae S288c. Specifically, the yield of the MsCCT001 is 10 times higher than that of the ScCCT, the yield of the MbCCT006 is 6 times higher than that of the ScCCT, and the yield of the MeCCT008 is 8 times higher than that of the ScCCT.

The invention discloses an inference method and an inference system of a gene regulatory network. The inference method comprises the following steps: acquiring transcriptome data and prior gene network data of a single cell; extracting a gene sub-network related to the transcriptome data from the prior gene network data; obtaining a first view and a second view for the gene sub-network according to a first random deletion strategy and a second random deletion strategy; providing the first view and the second view to a neural network model, and performing comparative learning based on the neural network model to obtain incoming features and outgoing features of each node in the gene sub-network; and constructing a regulation score matrix based on the incoming features and the outgoing features, wherein the regulation score matrix displays the regulation association degree between genes in the transcriptome data of the single cell. According to the technical scheme, the direct causal relationship and the indirect association relationship can be effectively distinguished, so that the gene co-expression network more accurately reflects the real regulation relationship.

The invention discloses a recombinant plasmid, a recombinant strain and a method for synthesizing rebaudioside M by a one-step method, and belongs to the technical field of biological catalytic synthesis. The recombinant plasmid contains a coding gene of a glycosyl transferase UGT91C1 mutant, a coding gene of a glycosyl transferase UGT76G1 mutant and a coding gene of sucrose synthase. The mutant of the glycosyl transferase UGT91C1 is 2-12E, and the coding gene sequence of the glycosyl transferase UGT91C1 is as shown in SEQ ID NO. 1; the glycosyl transferase UGT76G1 mutant is 101H10, and the coding gene sequence of the glycosyl transferase UGT76G1 mutant is as shown in SEQ ID NO. 2; the sequence of the coding gene of the sucrose synthase is as shown in SEQ ID NO. 3. The rebaudioside M is synthesized by using a three-enzyme co-expression recombinant strain containing the plasmid through a one-step method, so that the loss of fermentation materials can be reduced, the utilization efficiency of equipment is improved, the energy consumption is reduced, and the large-scale production of the rebaudioside M is facilitated.

A method for recombinantly expressing feline serum albumin. A method for constructing an engineered strain for recombinantly expressing a feline serum albumin, wherein the method comprises: co-expressing a feline serum albumin, a protein disulfide isomerase, and regulatory factor HAC1 and / or vitreoscilla hemoglobin in a receptor yeast. The obtained strain is an engineered strain capable of expressing a recombinant feline serum albumin. The engineered strain can efficiently express rFSA. Compared with the direct and individual expression of rFSA, the expression level of rFSA in the co-expression strain is significantly increased, and the highest expression level can reach about 16 g / L. This lays a foundation for large-scale industrial production of rFSA.

The invention provides an application of a TGBp1 gene, or a TGBp1 gene coding protein, or a recombinant vector or host bacteria containing a TGBp1 gene coding region in down-regulation of the MeGRXC3 expression level. Researches find that TGBp1 and MeGRXC3 interact with each other, so that the growth ability of yeast in an SD / -Leu / -Trp / -His / -Ade auxotroph culture medium can be improved, the expression of MeGRXC3 can be down-regulated, the active oxygen content of tobacco leaves for co-expression of TGBp1 and MeGRXC3 is improved, and the growth ability of the yeast in the SD / -Leu / -Trp / -His / -Ade auxotroph culture medium is improved. Research results lay a theoretical foundation for breeding of common cassava mosaic virus disease resistance.

The invention discloses a transformation method and application of a G protein coupled receptor, and belongs to the technical field of protein engineering. In order to improve the molecular weight of membrane protein, enable the enlarged part of the membrane protein and the original membrane protein to form a relatively rigid structure and further meet the structural analysis requirement of a cryoelectron microscope, the invention provides a method for transforming a G protein coupled receptor. The method comprises the following steps: co-expressing fusion protein GPCR (Glycine Polymerase Chain Reaction)-GFP10-11 and GFP1-9 fragments formed by GPCR and GFP10-11 fragments in a eukaryotic cell expression system, and adding GFP-clamp in the purification process; one amino acid at the specific site of GPCR is mutated into cysteine, glutamic acid at the 186th position of the amino acid sequence of GFP-clamp is mutated into cysteine, and a disulfide bond is formed between the amino acid and glutamic acid. The molecular weight of the modified G protein coupled receptor obtained by using the method can be increased to 85 kD or above, and the rigidity of the whole compound space structure is relatively strong, so that the modified G protein coupled receptor can be used for structural analysis of a cryoelectron microscope.

The invention relates to the technical field of biology, in particular to recombinant bacillus for heterologous synthesis of ovotransferrin as well as a construction method and application of the recombinant bacillus. According to the invention, bacillus (bacillus subtilis and bacillus amyloliquefaciens) is taken as a host, and the OVT gene is heterologously expressed by using a genetic engineering technology, so that heterologous secretory expression of OVT1 and OVT2 from different sources in chassis cells is realized; meanwhile, the invention also provides a method for more economically and efficiently increasing the expression level of ovotransferrin. Three different molecular chaperones PrsA, DnaK and CasA are further selected for co-expression with the ovotransferrin, correct folding of the ovotransferrin in host cells is promoted, the soluble secretory expression quantity of the ovotransferrin is increased, and the expression efficiency of the ovotransferrin is improved.

The invention belongs to the related technical field of gene regulation and control networks, and provides a gene regulation and control network construction method, system, equipment and medium in order to overcome the defects of the existing gene regulation and control network in the aspects of interpretability, authenticity and the like. Based on a graph neural network, efficient gene embedding representation learning is realized to capture a global dependency relationship; and then based on different types of regulation and control relationships, analyzing a linear causal relationship and a nonlinear causal relationship, integrating the two channels to obtain a confidence coefficient matrix of the gene, and further constructing a gene regulation and control network. The gene regulatory network constructed by the invention can reveal the regulatory relationship between genes, the interpretability, authenticity and credibility of the gene regulatory network are improved, and a more accurate and reliable tool is provided for analyzing a complex biological system subsequently.

The invention discloses a method for screening breast cancer biomarkers based on weighted gene co-expression network analysis and application. High-expression keratin KRT5 and low-expression ubiquitin coupling enzyme UBE2C in breast cancer patients are screened out and are closely related to good prognosis of the high-expression keratin KRT5 and the low-expression ubiquitin coupling enzyme UBE2C, and the KRT5 and the UBE2C are effective molecular markers for breast cancer early-stage diagnosis and prognosis analysis. In-vitro experiments show that the development process of the breast cancer can be effectively inhibited by promoting the expression of the KRT5 gene and inhibiting the expression of the UBE2C gene. According to the invention, early-stage diagnosis and prognosis analysis of breast cancer can be rapidly carried out, a new direction is provided for diagnosis, treatment and prognosis of breast cancer, and development of individualized treatment is promoted.

The invention relates to the field of microbial metabolism engineering, and discloses a method for increasing the yield of 2 '-fucosyllactose (2'-FL) through the synergistic effect of various alpha-1, 2-fucosyltransferases. According to the method, two or more alpha-1, 2-fucosyltransferases with different sources are co-expressed in microbial cells, and the complementary enzymatic characteristics of the alpha-1, 2-fucosyltransferases are utilized, so that the synthesis efficiency of the 2 '-FL is remarkably improved, and the yield of the 2'-FL is effectively improved. The microbial cell is escherichia coli C43 (DE3) (E. coli C43 lacZ waaF with lacZ and waaF genes knocked out, the serial number is SL), a pETDuet-1 plasmid is constructed, and genes manB, manC, gmd, wcaG and zwf are overexpressed on a pETDuet-1 vector, so that the microbial cell can be used for preparing the microbial cell. In a 5L fermentation tank, after the final strain SL07 is used for final fermentation for 68 hours, the yield of 2 '-FL reaches 148g / L, and the production intensity reaches 2.18 g / L / h. The embodiment shows that the engineering strain for co-expressing the alpha-1, 2-fucosyltransferase from different sources can obviously improve the yield of the 2 '-FL.

The invention discloses an aspergillus niger recombinant strain for degrading vomitoxin and application thereof, and belongs to the field of gene engineering. In order to solve the problem that a method for efficiently degrading vomitoxin is lacked in the prior art, the invention provides an aspergillus niger recombinant strain for degrading vomitoxin, the aspergillus niger strain for co-expressing FsTRI12 is taken as a recipient bacterium, a vomitoxin acetyltransferase gene segment is selected, an intracellular gene expression vector is constructed, and a homozygous aspergillus niger recombinant strain is screened. The aspergillus niger recombinant strain provided by the invention can be applied to degradation of vomitoxin, provides a new choice for effectively solving the vomitoxin pollution problem in cereal raw materials and feeds, reducing grain loss and guaranteeing food and feed safety, and has potential industrial application prospects.

The invention relates to a gene co-expression network identification method and system based on a graph convolutional neural network. The method comprises the following steps: S1, data preprocessing; s2, constructing a gene network diagram based on gene expression correlation; s3, node information is captured through a GraphSAGE model of the graph convolutional neural network, and features are extracted; s4, performing clustering analysis by using a Gaussian mixture model; and S5, dividing gene modules according to a clustering result. The method can help researchers to more effectively extract valuable information from massive gene expression data, deeply understand a gene regulatory network, find new gene functions and regulatory mechanisms, and provide important guidance for disease treatment and prevention. And meanwhile, the method also has good expandability and flexibility, and can adapt to analysis requirements of gene expression data of different scales and types.

The invention discloses a gene editing system and a construction and evaluation method, and relates to the technical field of biology. A gene promoter for coding an EF1-alpha extension factor in medicago sativa is adopted to drive Cas9 expression, a Cas9 gene sequence is optimized according to codon preference for coding amino acid in medicago sativa, an improved CRISPR2.0 system is obtained, and a carrier CRISPR2.0-1 * MsEF1-alpha P:: Opt-Cas9 is constructed; a promoter sequence of an EF1-alpha elongation factor of the high-expression gene is shown as SEQ ID NO: 1, and a coding sequence of the optimized CAS9 gene is shown as SEQ ID NO: 2. The evaluation method of the gene editing effectiveness of the gene editing system comprises the following steps: co-expressing the system in tobacco leaves and establishing the gene editing evaluation system by relying on alfalfa transgenic hairy roots. The editing precision is improved, and the genome mutation risk is reduced.

The invention provides a gene SbERF71 capable of improving waterlogging tolerance of sorghum, protein, application and a breeding method, and belongs to the technical field of crop breeding. On the basis of a sorghum plant with waterlogging tolerance, it is determined that SbERF71 is a key gene affecting the waterlogging tolerance of sorghum through RNA extraction and library building, RNA-Seg data analysis, weighted gene co-expression network analysis (WGCNA) and other methods. The SbERF71 gene is related to gene expression of various stress reaction pathways (such as energy metabolism and aero-tissue formation) in sorghum, is a central regulatory factor of sorghum waterlogging, and is beneficial to reaction of sorghum to flooding stress, expression height up-regulation of sorghum in a flooding stress environment and enhancement of flooding resistance of sorghum, so that sorghum can adapt to waterlogging stress. The invention reveals that sorghum can adapt to molecular and physiological mechanisms of waterlogging stress, provides a new direction for breeding of sorghum waterlogging-resistant varieties, and makes a contribution to food safety in waterlogging agricultural areas.

The invention discloses a prognosis evaluation method and system for diffuse large B-cell lymphoma. According to the method, firstly, a gene module closely related to lipid metabolism is screened from DLBCL transcriptome data through weighted gene co-expression network analysis (WGCNA), and then eight key prognosis genes including FNDC1, IL22RA2, C15orf48, OMD, MFAP2, BC017398, CXCL6 and TNFAIP6 are identified from the module by adopting multi-step regression analysis (single factor Cox, LASSO and multi-factor Cox). A risk scoring model is constructed based on the expression levels and regression coefficients of the genes, and DLBCL patients can be divided into a high-risk group and a low-risk group with significant survival differences. The risk score and the clinical pathological factors are further integrated to construct a column graph, and individualized survival probability prediction can be achieved. The invention further provides a corresponding prognosis evaluation system, electronic equipment and a storage medium. An independent data set verifies that the prognosis model has excellent prediction performance and clinical practical value.

The invention belongs to the technical field of single cell data analysis, and particularly relates to a single cell pseudo-trajectory identification method based on a gene co-expression network. Comprising the following steps: S1, constructing a single cell transcription data matrix of behavior gene names and cell names; s2, preprocessing the single-cell transcription data matrix, constructing a cell expression matrix, and performing characteristic gene screening on the cell expression matrix to obtain a single-cell gene expression matrix; s3, constructing a gene co-expression network; s4, constructing a gene rank differential expression network in combination with the single-cell gene expression matrix and the gene co-expression network; and S5, carrying out integrated clustering on the gene rank differential expression network, fusing by using a similarity network to obtain a final clustering result, determining an initial cluster, distributing pseudo time for cells in each cluster, and deducing a cell pseudo trajectory. According to the method, the differentiation track of the cell can be identified, and compared with an original gene expression matrix, a more stable identification result can be obtained by utilizing a relative expression sequence.

The invention discloses a preparation method of recombinant mussel mucin rich in dopa, and belongs to the technical field of genetic engineering. When the recombinant mussel mucoprotein is co-expressed and modified, a certain amount of modifier is fed in the induction process according to the growth of thalli and the expression condition of protein, so that on one hand, the component concentration of a co-expression modification system is controlled, and a favorable environment is provided for the recombinant tyrosinase to oxidize tyrosine into DOPA; on the other hand, an environment is created for the synthesized recombinant mussel mucin containing dopa, the situation that dopa residues are oxidized into unnecessary substances such as dopaquinone and melanin due to long co-expression modification time is avoided, glutamic acid with a certain concentration in a modification auxiliary system serves as energy supply to promote modification, and the dopa oxidation rate and modification efficiency are improved.

The invention provides a hypergraph-based weighted gene co-expression hypernetwork module identification method and system, and the method comprises the steps: obtaining a gene expression profile matrix, and integrating an effective gene set of each sample to construct a weighted hypergraph; calculating a Laplacian matrix of the weighted hypergraph, and obtaining a topological overlapping matrix based on the Laplacian matrix; and based on the topological overlapping matrix, performing module identification on the gene by adopting a hierarchical clustering method, and outputting a gene co-expression module. According to the method, the calculation efficiency is effectively improved by optimizing hypergraph construction and utilizing the hypergraph Laplacian matrix to carry out network analysis. Compared with a traditional WGCNA method, the WGCHNA shows higher calculation speed and processing capacity when processing a large-scale gene data set, so that the gene co-expression network can be analyzed more quickly, and the requirements of multiple samples and complex networks are met.

The invention provides a pathogenic driver gene prediction method based on biological network fusion and related equipment. The method comprises the following steps: acquiring data of various driver genes for training; constructing an initial gene relationship map based on protein interaction, gene sequence similarity, KEGG pathway co-occurrence, a gene co-expression mode and semantic similarity of a gene ontology, and embedding various human driven gene data for training into each node in the initial gene relationship map to obtain various gene relationship maps; performing dynamic adjustment on each gene relationship map through edge discarding, feature discarding and difficult sample recognition enhancement to obtain an adjusted gene relationship map for training the constructed pathogenic driving gene prediction model to obtain a trained pathogenic driving gene prediction model; inputting the target driver gene data into the trained pathogenic driver gene prediction model for prediction to obtain a prediction result; and the accuracy and robustness of pathogenic driver gene prediction are improved.

The invention belongs to the technical field of veterinary medicine, and provides a co-expressed recombinant porcine alpha and gamma interferon. The I-type interferon alpha and the II-type interferon gamma not only exert the anti-virus, anti-cell division and immune regulation effects of the interferon, but also can activate T cells and natural killer cells, and fully exert the multiple activities of the interferon. The two interferons are co-expressed in insect cells, the expression protein can be folded and then processed and modified, the structure of the expression protein is closer to a natural structure, the biological activity is high, the recombinant protein is easy to purify, the production scale is easy to expand, and live viruses or potential dangerous pathogens do not need to be treated, so that the production cost is reduced; by optimizing the production process and fermentation conditions, the quality and stability of the recombinant protein can be further improved.

The invention provides an application of a CP gene, or a protein encoded by the CP gene, or a recombinant vector or host bacteria containing a CP gene coding region in down-regulation of the MeGRXC3 expression level. Researches find that CP and MeGRXC3 interact with each other, so that the growth ability of yeast in an SD / -Leu / -Trp / -His / -Ade auxotrophic culture medium can be improved, cell autophagy can be activated, the expression of MeGRXC3 can be down-regulated, and the active oxygen content of plant tissues co-expressed with MeGRXC3 can be increased. Research results lay a theoretical foundation for breeding of common cassava mosaic virus disease resistance.

The invention discloses a construction method of immune-related key gene prognosis indexes of metastatic melanoma and related equipment, and belongs to the field of bioinformatics, the method comprises the following steps: obtaining an immune-related differential expression gene list, and constructing a weighted gene co-expression network to divide gene modules, two gene modules with the highest correlation degree with the matrix score and the immune score are screened out, and gene intersection is taken to recognize immune related key genes; and determining immune-related key genes significantly related to the lifetime, and sequentially screening through univariate Cox regression and LASSO regression to obtain genes of which the regression coefficients are not zero so as to construct and obtain immune-related key gene prognosis indexes of metastatic melanoma. The method can solve the problems that in the prior art, when a prognosis index is constructed, an immune-related gene pair is only determined by an LASSO regression coefficient, key disease treatment genes are difficult to recognize, too many immune-related genes are contained, and clinical application convenience is low.

The present disclosure discloses a Functional Genomic Imaging method. Genes are filtered based on the expression levels and other information first to improve the ratio of effective genes, and then a correlation matrix of gene co-expression is generated based on the filtered gene data to obtain a co-expression network; data conversion is performed based on the correlation matrix of gene co-expression to obtain a distance matrix; and finally, the co-expression network is subjected to dimensionality reduction and cluster analysis, thus obtaining the visualized gene expression according to the analysis result. The Functional Genomic Imaging method provided by the present disclosure achieves a better visualization effect of the genetic co-expression network and can obtain a co-expressed gene cluster more effectively.

Provided are techniques for generating expression products using one or more nucleic acid concatemers that include tandem repeats of a nucleic acid sequence encoding the expression product or products. In one embodiment, different expression products may be co-expressed using a concatemer mixture of a first nucleic acid concatemer and a second nucleic acid concatemer having a predefined ratio to one another.

The invention relates to the technical field of bioinformatics, in particular to an esophageal cancer RNA-protein interaction space prediction method and device based on a graph neural network, and can solve the problem that it is difficult to accurately distinguish the difference of cancer tissue and normal tissue on RPI in a traditional method to a certain extent. The method comprises the steps of obtaining multi-stage space transcriptome data related to esophageal cancer, and performing preprocessing to obtain a multi-modal feature tensor and a canceration stage tag; using the multi-modal feature tensor and the canceration stage tag, using RNA and protein as nodes, defining a static edge based on sequence complementarity and structure matching degree, defining a dynamic edge based on spatial co-expression correlation, and constructing a space-time dynamic graph updated along with the canceration stage; the space-time dynamic graph serves as input, interaction existence, site coordinates and binding energy are predicted through space-time double-branch coding and attention mechanism fusion features, and an interaction prediction result is output.

The invention discloses an adversity high-photosynthetic-efficiency transcription factor screening method based on deep learning, and relates to the technical field of biological information analys.The method comprises the steps that rice multi-modal stress response data is obtained and preprocessed, and preprocessed gene expression data is obtained; carrying out differential expression gene screening and co-expression network analysis on the preprocessed gene expression data, extracting multi-modal features, and fusing the multi-modal features to generate a multi-modal input feature matrix; constructing a double-layer deep learning model, training the double-layer deep learning model by using the multi-modal input feature matrix, and respectively outputting a regulation and control relationship matrix of transcription factors and target genes and a regulation and control relationship matrix of transcription factors and target pathways; and according to an output result, calculating a comprehensive score of each transcription factor through a multi-dimensional scoring system, and screening out the stress high-photosynthetic-efficiency transcription factor according to a predetermined screening standard.

The invention belongs to the technical field of biology, and discloses a method for screening plant interaction protein by combining big data with artificial intelligence and verifying protein interaction by using yeast two-hybrid. According to the method, AI is combined with big data, and co-expression protein of family protein is obtained through big data screening and analysis; aI interaction prediction and molecular docking are carried out on the proteins, and interaction information is further analyzed and extracted. And further analyzing the condition of the screened interaction protein by using a yeast two-hybridization or fluorescence co-localization experiment. According to the method, aiming at the characteristics of complex genomes and abundant sequencing data of species such as wheat, public sequencing data is creatively utilized to carry out an interaction protein screening process of subgenomes. The problems of long protein screening period, high cost, large workload, false positive protein screening, no co-expression and the like are solved. The interaction relationship between important gene families can be quickly and conveniently obtained, the interaction structural domain can be accurately and clearly found, and technical support is provided for research on analysis of a wheat key gene functional mechanism.