9 results about "Chromosome regions" patented technology

The invention discloses a haplotype molecular marker related to cotton fiber strength and application of a detection primer of the haplotype molecular marker, and relates to the technical field of plant molecular biology and genetic breeding. The haplotype molecular marker is located in 112, 985, 431-112, 990 and 059bp regions of A06 chromosome of a cotton reference genome, a haplotype block is formed by nine closely linked SNP (Single Nucleotide Polymorphism) sites, the incidence relation between three haplotypes Hap1, Hap2 and Hap3 in the block and fiber strength is defined, and a new molecular target is provided for cotton fiber quality breeding. Compared with a single SNP marker, the haplotype molecular marker provided by the invention has higher stability and phenotype prediction accuracy under a complex genetic background. Genetic typing can be carried out in the cotton seedling stage based on the marker, fiber maturation does not need to be waited, the breeding period is greatly shortened, and the field screening cost is reduced.

The present application provides a marker combination for early detection of digestive system cancer, tissue localization, diagnosis, prognosis detection and identification of benign and malignant, the marker combination is selected from 1656 chromosome regions in table 1. A multi-cancer early screening and localization technology GutSeer for five high mortality digestive system cancers is also provided, which proves that using a relatively small second-generation sequencing panel can realize accurate cancer detection and organ tissue localization by using multiple dimensional characteristics including methylation, copy number variation and terminal motif.

The invention discloses an InDel molecular marker related to maize rough dwarf disease resistance and application of the InDel molecular marker, and belongs to the technical field of molecular genetics. The InDel molecular marker closely linked with the maize rough dwarf virus resistance gene is obtained by screening in 12, 857, 147-13, 124 and 718 bp regions of the maize chromosome 2, the resistance of maize to rough dwarf virus can be accurately identified in an early stage by utilizing the InDel molecular marker, and the InDel molecular marker has the advantages of simplicity, convenience, rapidness, high efficiency, accuracy, good repeatability, high specificity and the like; the method can be used for corn molecular marker-assisted breeding.

The present application relates to the technical field of plant breeding, and provides a corn molecular marker assisted backcross breeding electronic simulation method and system, the method comprising: collecting whole genome molecular marker data of a first group of single plants carrying known target genes which exhibit new traits; collecting whole genome molecular marker data of a donor parent of the known target genes; collecting whole genome molecular marker data of a recipient parent of the known target genes; based on the whole genome molecular marker data, deducing one or more candidate chromosome regions by analyzing chromosome fragments commonly inherited from the donor parent in the genome of the first group of single plants; selecting representative molecular markers from the candidate chromosome regions as proxy targets; taking the proxy targets and the whole genome molecular marker data of the first group of single plants as selection targets, performing electronic simulation of subsequent backcross breeding, and outputting the results of the electronic simulation. The present application has the effect of improving breeding efficiency and decision-making scientificity.

This application provides a method and system for intelligent chromosome karyotype segmentation that integrates deep learning. The method involves: enhancing chromosome microscopic images; performing region segmentation based on the enhanced chromosome images to obtain multiple chromosome region sub-images; for any chromosome region sub-image, extracting the chromosome pixel area and band count corresponding to that sub-image, and determining the structural coverage index of the sub-image based on these values; comparing the structural coverage index with a preset chromosome banding distribution model to perform anomaly screening and identify candidate chromosome adhesion regions; and segmenting the candidate adhesion regions using a deep learning segmentation model to obtain the corresponding chromosome karyotype segmentation image. This application can screen and identify candidate adhesion regions based on the chromosome skeleton banding density, improving the accuracy of chromosome image segmentation.

The invention discloses a chromosome counting method and device based on image processing and electronic equipment. The method comprises the steps that computer equipment acquires a chromosome karyotype graph; projecting each row of pixel points of the chromosome karyotype graph to obtain a first projection vector; determining a plurality of foreground regions of the chromosome karyotype graph according to the first projection vector; selecting a plurality of first foreground areas from the plurality of foreground areas, and extracting target image areas corresponding to the plurality of first foreground areas; projecting each column of pixel points of the target image area to obtain a second projection vector; determining one or more chromosome regions contained in the target image region according to the second projection vector; selecting a target chromosome region comprising the chromosomes of the target type from one or more chromosome regions contained in the target image region; and obtaining the chromosome number corresponding to the chromosome of the target type. According to the invention, the counting accuracy and efficiency of the chromosome karyotype graph can be improved.

This invention relates to the field of genetic engineering technology, and more particularly to a molecular marker for detecting wheat leaf rust resistance genes LrN4B or LrN3B and its application. The molecular marker LrN4B-1 is located in the 578-585Mb region of chromosome 4BL, with a polymorphism of C / G. The molecular marker LrN3B-1 is located in the 4-8Mb region of chromosome 3BS, with a polymorphism of T / C. This invention obtains molecular markers linked to wheat leaf rust resistance genes LrN4B and LrN3B through the construction of genetic linkage maps and the screening and localization of molecular markers. These two molecular markers can be used to distinguish the LrN4B+LrN3B disease-resistant genotype, screen for wheat lines containing these two disease-resistant genes, accelerate the process of wheat disease-resistant breeding, and are of great significance in the field of breeding leaf rust-resistant wheat.

The invention discloses a KASP molecular marker linked with a loose cauliflower globule gene and application, and belongs to the technical field of molecular breeding. Specifically, a high-generation inbred line material and a globule mutant obtained through EMS mutagenesis of the high-generation inbred line material are utilized to construct a segregation population for gene localization, a chromosome region closely linked with globule characters is obtained, and a corresponding molecular marker is developed in a candidate region. A KASP molecular marker is further designed and verified for a key single base mutation site of a candidate gene. Through verification, in genotype identification of 550 single plants, the coincidence rate of the marker with large and small ball phenotypes reaches 100%. The molecular marker can be effectively applied to molecular marker-assisted selective breeding of loose broccoli with big and small ball characters, and the selection accuracy and the breeding efficiency are remarkably improved; meanwhile, an important tool and a genetic basis are provided for cloning and functional analysis of related genes of the globules.

A process for analysing chromosome regions and interactions relating to physical performance.