6 results about "Transfer gene" patented technology

The invention relates to the technical field of gene identification, in particular to a method for identifying a horizontal transfer gene based on a model error, which comprises the following steps of: acquiring a class group protein data set from a public database, and performing data cleaning on the class group protein data set to obtain a class group protein data set; the class group protein data set comprises a plurality of protein sequences of different class groups; performing structure prediction on each protein in the cleaned class group protein data set, and extracting a multi-dimensional feature vector based on a prediction result; a classification prediction model is constructed, the multi-dimensional feature vectors are adopted for training, and the output of the classification prediction model is the class group label probability; and predicting a protein structure in a to-be-detected protein sequence, extracting a multi-dimensional feature vector with the same dimension as the training stage based on a prediction result, inputting the multi-dimensional feature vector into the trained classification prediction model, and identifying a potential HGT gene according to a prediction error of the classification prediction model.

The present invention relates to the technical field of gene identification, and in particular to a method for identifying horizontally transferred genes based on model error. The method comprises the following steps: obtaining a group protein dataset from a public database and performing data cleaning on the group protein dataset, wherein the group protein dataset contains multiple protein sequences from different groups; performing structure prediction on each protein in the cleaned group protein dataset, and extracting a multidimensional feature vector based on the prediction result; constructing a classification prediction model and training it using the multidimensional feature vector, wherein the output of the classification prediction model is a group label probability; predicting the protein structure in the protein sequence to be detected, extracting a multidimensional feature vector with the same dimension as that in the training stage based on the prediction result, and inputting the extracted multidimensional feature vector into the trained classification prediction model, and identifying potential HGT genes based on the prediction error of the classification prediction model.

The present invention provides a method and apparatus for identifying horizontally transferred sequences from bacterial genomes in recipient insect genomes, relating to the field of biotechnology. The method provided by the present invention for identifying horizontally transferred sequences from bacterial genomes in recipient insect genomes more comprehensively and accurately identifies and analyzes fragments horizontally transferred from a certain type of bacteria to the genome of this species at the whole genome level; based on the horizontally transferred sequence fragments, horizontally transferred genes, gene fragments, and non-coding region fragments are further identified. This provides a comprehensive analysis of horizontal gene transfer between the genomes of a certain eukaryote and a certain type of bacteria, laying a solid, comprehensive, and reliable foundation for further research into the effects of horizontally transferred genes (fragments) on eukaryotes.

The invention relates to the technical field of biology, in particular to a tomato leaf miner horizontal transfer gene Zadp and application of the tomato leaf miner horizontal transfer gene Zadp to regulation and control of mating rhythm and spawning of tomato leaf miner imagoes. The tomato leaf miner horizontal transfer gene zinc binding ethanol dehydrogenase family gene Zadp encodes a protein with an amino acid sequence as shown in SEQ ID No: 2. The CRISPR / Cas9 is utilized to induce mutation of the Zadp gene of the tomato leaf miner, and the result shows that a Zadp mutation group delays mating, the mating time and the generation length are prolonged, and the egg laying rate within 7 days is remarkably reduced.

This invention relates to a HcKynU Genes, dsRNAs targeting these genes, and their applications. This invention focuses on horizontal gene transfer. HcKynU Designing dsRNAs specifically for the control of the fall webworm (Russian white moth) not only allows for precise pest control but also avoids threatening non-target species. Injecting this dsRNA into the fall webworm effectively silences its target gene, leading to increased mortality and impaired normal growth and development, ultimately achieving control. This invention provides a new and effective approach for controlling the fall webworm.

The invention relates to the technical field of genetic engineering, in particular to bemisia tabaci pectin methylesterase, a BtPME1 gene, dsRNA and application of the bemisia tabaci pectin methylesterase to prevention and treatment of bemisia tabaci. The amino acid sequence of the bemisia tabaci pectin methylesterase provided by the invention is as shown in SEQ ID NO. 2. Based on bemisia tabaci genome data in the early stage of a laboratory, a bemisia tabaci horizontal transfer gene is analyzed, it is found that a plant-derived horizontally-transferred pectin-like methylesterase coding gene BtPME1 exists in bemisia tabaci, and the amino acid sequence of pectin-like methylesterase expressed by the coding gene BtPME1 is shown as SEQ ID NO.2. After the BtPME1 gene is silenced, the survival rate and egg laying amount of bemisia tabaci on a host plant can be effectively reduced. The invention provides a new target for a bemisia tabaci green control technology based on RNA interference guidance, and opens up a new way for improving the insect resistance of crops.