19 results about "Gene Organization" patented technology

The invention belongs to the technical field of biomedical engineering, and discloses a gene regulatory network optimization method based on a diffusion model, which comprises the following steps: acquiring gene data of cells under a steady state condition, and constructing a gene expression matrix according to the gene data; injecting Gaussian noise into the gene expression matrix based on a diffusion model method to generate a series of noisy data sequences; performing noise estimation and structure estimation on the noisy data sequence by a noise estimator and a structure estimator based on a gene regulation and control network, and performing reverse denoising processing according to the noise estimation and the structure estimation to obtain gene structure estimation after reverse denoising; performing structure optimization on the gene structure estimation after reverse denoising by adopting an acyclic constraint function and a regularization substitution method; and outputting the optimized gene structure estimation. According to the method, the regulation and control relation between the genes is accurately recognized from high-dimensional gene expression data, and the modeling precision of the regulation and control relation between the genes is improved.

Recombinant polynucleotides and vectors containing an engineered (artificial) exon-intron-exon gene structure in a transgene are provided, which undergoes splicing when it is expressed in a target cell.

The invention discloses a primer group, a kit and a detection system for thalassemia gene detection. In order to more comprehensively and accurately detect point mutation, small insertion, small deletion, gene fusion mutation, large fragment deletion and gene structure variation on a thalassemia core gene and a modified gene in single detection, the invention provides a thalassemia gene detection primer group and a kit. Based on third-generation sequencing platforms such as a single-base nanopore sequencing platform and the like, all point mutation, small insertion, small deletion and gene fusion mutation in the amplification range of the thalassemia core gene and the modified gene can be detected by utilizing the primer group or the kit; and 60 alpha large fragment deletion mutations, 60 beta large fragment deletion mutations and 7 gene structure variations. The method is beneficial to rapid and comprehensive screening of thalassemia, and is high in detection sensitivity and good in accuracy.

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.

A gene related to biosynthesis of ergothioneine is provided. Based on five synthesis genes of ergothioneine in Mycobacteroides abscessus, only an encoding sequence of each of the five genes is retained, and a gene structure of an encoding region in each gene is optimized to obtain genes related to the biosynthesis of the ergothioneine that are stably expressed in rice. These genes have sequences set forth in SEQ ID NO: 1 to SEQ ID NO: 5, and encoded proteins thereof have amino acid sequences set forth in SEQ ID NO: 6 to SEQ ID NO: 10. The gene is transferred into rice to construct a transgenic rice molecular farm to produce the ergothioneine. As a molecular farm, rice seeds do not contain alkaloids or allergens that are harmful to the human body. Moreover, biosynthesized ergothioneine shows the advantages of easy extraction and processing and of low production cost.

The invention provides a genome annotation method and an electronic device. The genome annotation method comprises the following steps: S1) performing gene structure prediction on a genome by adopting multiple modes to obtain multiple prediction gene sets; s2) performing gene integration on the multiple predictive gene sets by using an EVM tool to obtain an integrated gene set; s3) performing BUSCO evaluation on the integrated gene set to obtain an integrated gene set evaluation file; s4) performing BUSCO evaluation on the genome to obtain a genome evaluation file; and S5) correcting the integrated gene set evaluation file by using the genome evaluation file to obtain a corrected gene set, wherein the gene structure prediction comprises transcriptome prediction, de novo prediction and homologous prediction.The genome annotation method can significantly improve the accuracy and integrity of gene annotation.

The present application provides a kind of eukaryotic pan-transcriptome annotation method, comprising the following steps: the transcriptome data of more than 3 different sources of eukaryotic species sample is compared to reference genome, obtains corresponding gene structure annotation information, integrates, obtains the transcriptome annotation result of reference genome dependence;Sample transcriptome data is spliced and assembled, and corresponding mature transcript sequence information is obtained, and the mature transcript sequence information is compared with reference genome, and corresponding gene structure information is obtained, to obtain the transcriptome annotation result of reference genome independence;Integrate structural transcript annotation information, filter transcript that cannot be compared with reference genome, obtain new transcript annotation information;Integrate sample high-throughput transcriptome data, and the pan-transcriptome annotation information of target eukaryotic species can be obtained.The present application can obtain more complete transcriptome annotation structure of eukaryote, and different strategies are mutually verified, which greatly improves the annotation accuracy.

The application provides a molecular marker combination significantly related to the effective branch number of oilseed rape and an application thereof, and belongs to the technical field of plant molecular breeding and gene editing. The molecular marker combination significantly related to the effective branch number of oilseed rape comprises one or more of the following: a DEL00022485 gene structure variation, a DEL00003485 gene structure variation, a DEL00022483 gene structure variation, a DEL00022460 gene structure variation, a DEL00022459 gene structure variation and a DEL00022484 gene structure variation. The application mines the above-mentioned molecular marker combination based on whole genome association analysis of gene structure variations, can accurately determine the number of effective branch numbers of oilseed rape germplasm, and further assists breeding. The application provides a new method and a new gene sequence resource for increasing effective branches and improving yield of Brassica napus breeding.

This invention discloses a method utilizing Breast Milk A method for identifying the red coat color phenotype in cattle using an 8403 bp gene sequence. Analysis of third-generation sequencing data from domestic cattle samples with different coat color phenotypes identified, for the first time, a gene significantly associated with the red coat color phenotype. Breast Milk An 8403bp structural variation in the gene sequence overlaps with a LINE-1 transposon, leading to... Breast Milk Gene transcripts produce different mRNA isoforms. This invention achieves the detection of bovine mRNA using two pairs of primers. Breast Milk Gene detection and accurate genotyping can be performed, enabling marker-assisted selection of the red coat color trait in cattle at the DNA level.

This invention discloses the disease resistance function and application of the CC domain of CNL protein 2541 involved in wheat stripe rust resistance, belonging to the field of functional gene technology. This invention provides the application of the 2541-CC gene domain in regulating wheat stripe rust resistance, and provides a recombinant expression vector overexpressing the 2541-CC gene domain, as well as a method for constructing plant germplasm overexpressing the 2541-CC gene domain using the recombinant expression vector. This invention found that plants overexpressing the 2541-CC gene domain exhibited significant resistance, increased leaf hypersensitive necrosis, reduced stripe rust urediniospores, increased reactive oxygen species, increased cell necrosis, and inhibited stripe rust growth and development, thus confirming that the 2541-CC gene domain is a key domain in the 2541 gene's disease resistance signal transduction.

The application discloses a whole genome prediction parallel computing and data visualization analysis system and relates to the technical field of gene image data analysis. The system converts whole genome data into a genome heat map, a genome variation map and a gene structure diagram through parallel computing. Through an image processing algorithm, the system accurately extracts gene expression differences, gene variation characteristics and gene region distribution density in the genome image, and generates an expression difference index, a variation distribution map and a gene density index. According to a machine learning model, the system predicts gene expression trends, variation hot spot evolution and functional region distribution, and generates a genome prediction map. Finally, the system displays and analyzes the analysis results through multiple levels of graphics, helps researchers to intuitively identify the expression changes, variation hot spots and region distribution characteristics of genes, and improves the computing efficiency of large-scale genome data processing. Meanwhile, through multi-level visualization display, the system enhances the intuitiveness and interpretability of data analysis.

The invention relates to the field of animal models, in particular to sgRNA for preparing an aortic aneurysm animal model and a preparation method, and the sgRNA is characterized in that a TB structural domain of an exon 57 part of an FBN1 gene is knocked out on Bama miniature pig cells through a CRISPR / Cas9 gene editing method. The important structural domain of the FBN1 gene and the TB structural domain of the exon 57 part are screened out by deeply analyzing the structure and the function of the FBN1 gene and combining bioinformatics prediction and disease model related research. The prepared Bama miniature pig subjected to specific gene editing is expected to show unique value in medical research, disease model construction or specific animal husbandry production application, and powerful support is provided for research and development of related fields.

The application provides a snowflake black cattle breeding method and system based on whole genome association analysis, relates to the technical field of black cattle breeding, and comprises the following steps: extracting PacBio long read HiFi sequencing data and second-generation whole genome resequencing data in a blood sample, and extracting Hi-C chromosome conformation capture sequencing data and multi-tissue full-length transcriptome sequencing data in a tissue sample; performing genome assembly to obtain a chromosome-level reference genome sequence; performing gene structure annotation on the reference genome sequence; detecting a whole genome SNP marker data set of a breeding population; screening whole genome SNP marker data meeting a preset significance threshold; performing functional annotation to obtain molecular markers for snowflake black cattle breeding. The application provides reliable and practically functional molecular marker support for the directional breeding of snowflake black cattle meat quality-related key economic traits.

The invention discloses a related gene for enhancing synthesis of an ergothioneine precursor substance L-histidine from rice and application of the related gene, and belongs to the technical field of gene engineering. Gene structure optimization is carried out based on eight L-histidine synthetic genes in escherichia coli, and biosynthetic L-histidine related genes capable of being stably expressed in rice are obtained. The gene is connected with a rice endosperm specific promoter to construct a multi-gene tandem expression vector, and the multi-gene tandem expression vector is transformed to created engineering rice capable of synthesizing ergothioneine. According to the method, the yield of the ergothioneine in transgenic rice seeds is indirectly increased by strengthening precursor supply of a synthetic route of the ergothioneine; results show that compared with rice only expressing an ergothioneine synthesis pathway, the L-histidine content is increased by 29%, and the ergothioneine content is increased by 22%. According to the method, rice seeds are used as a molecular farm, the method has the advantages of safety, low cost, easiness in large-scale production and the like, and a new way is provided for green production of ergothioneine.

The invention discloses a method for improving genome selection accuracy by integrating genome annotation information, and belongs to the technical field of molecular breeding. The method comprises the following steps: constructing a reference group and accurately determining target traits; acquiring high-density genotype data by using a whole genome re-sequencing technology; constructing an SNP function annotation matrix containing multi-dimensional information such as a gene structure, codon degeneracy in a coding region, nucleotide diversity and the like; estimating genetic variance weights of different functional regions by using a random Heismann-Elstarton regression (RHE) algorithm and a Monte Carlo REML algorithm; and constructing a weighted genome prediction model based on mixed prior distribution to estimate a breeding value. According to the method, differential modeling is carried out on functional sites and background noise markers through biological prior information, the genome selection accuracy of complex characters and the robustness of cross-population prediction are remarkably improved, and the method has a good application prospect.

The invention provides a specific gene structure variation combination remarkably related to the thousand seed weight of brassica napus, a primer and application of the specific gene structure variation combination and the primer, and belongs to the technical field of plant molecular breeding. The specific gene structure variation combination comprises DEL00005089 gene structure variation, INS00023318 gene structure variation and / or INS00099306 gene structure variation; the nucleotide sequence of the DEL00005089 gene structure variation, the nucleotide sequence of the INS00023318 gene structure variation and the nucleotide sequence of the INS00099306 gene structure variation are respectively as shown in SEQ ID NO. 1, SEQ ID NO. 2 and SEQ ID NO. 3. As a novel molecular marker combination, the specific gene structure variation combination provided by the invention can more comprehensively and accurately analyze the thousand seed weight genetic basis and promote the efficiency and accuracy of high-yield breeding of brassica napus.

The application provides a gene structure variation combination, primers and application thereof significantly related to a Brassica napus growth period, belongs to the field of plant molecular breeding and gene editing technology, and the gene structure variation combination comprises one or more of "DEL00146035 gene structure variation + INS00146036 gene structure variation", DEL00006200 gene structure variation, "DEL00018831 gene structure variation + INS00018834 gene structure variation". BnaC6.MED13 As a major genetic locus (initial flowering time, final flowering time), the gene structure variation combination is respectively composed of BnaA2.GA20ox2 , BnaA4.SPL15 A gene structure variation combination of a genetic locus (silique maturation time) can accurately and quickly and accurately identify a short growth period of a rapeseed variety.

The invention belongs to the technical field of biological genetic engineering, and particularly relates to a brassica napus BnaA7.MYB95 transcription factor, a preparation method thereof and application of the brassica napus BnaA7.MYB95 transcription factor in the aspect of positively regulating insect resistance of brassica napus. Specifically, the invention discloses a gene structure of the brassica napus BnaA7.MYB95 transcription factor, a preparation method of the brassica napus BnaA7.MYB95 transcription factor and an application of the brassica napus BnaA7.MYB95 transcription factor in the aspect of positively regulating The invention also discloses that the expression of the brassica napus gene can cause up-regulation of the expression of jasmonic acid synthetase genes BnaLOX2, BnaLOX3, BnaLOX4, BnaAOC2, BnaAOS, BnaAOC3, BnaJMT, BnaJAR1, BnaAOC1, BnaOPCL1 and BnaAOC4, and activates a jasmonic acid signal channel, thereby enhancing the resistance to two different mainstream pests, namely beet armyworm and plutella xylostella.

The application provides a gene structure annotation method, and relates to the field of biotechnology. The method is characterized in that: the core gene set of a target species and a close species is identified through whole genome sequence alignment of the target species and the close species, and then the longest transcript sequence of the core gene is extracted and integrated into the result of a transcriptome to improve and enhance the quality of the target species transcriptome data annotation, thereby providing a solid, reliable and comprehensive reference basis for further improving the comprehensiveness and accuracy of gene structure annotation.