221 results about "Genome resequencing" patented technology

The invention relates to the technical field of molecular detection, and particularly discloses a liquid chip for identifying opisthopapus taihangensis and Hebei province as well as a preparation method and application of the liquid chip. Genotyping sites of the liquid chip comprise 1140 SNP sites; the physical positions of the 1140 SNP loci are determined based on comparison of a whole genome sequence of a bovine reference genome, and the version number of the whole genome sequence of the bovine reference genome is ARSUCD 1.2; wherein the physical position information of the 1140 SNP loci is as shown in a table 1. The liquid chip can realize genetic typing of the opisthopapus taihangensis and the Hebei province cattle, has the advantage of high detection rate, and can obviously cluster the opisthopapus taihangensis and the Hebei province cattle into two classes when clustering analysis is carried out on the opisthopapus taihangensis and the Hebei province cattle, so that a marker combination of the liquid chip can represent whole genome re-sequencing genes, assists in distinguishing the opisthopapus taihangensis and the Hebei province cattle, and is high in accuracy and high in accuracy. Therefore, the variety identification of the opisthopapus taihangensis and the Hebei Hebei is realized.

The invention relates to a pigeon whole genome 5K liquid phase chip and a manufacturing method and application thereof, and belongs to the technical field of molecular biology. According to the pigeon whole genome 5K liquid phase chip disclosed by the invention, the pigeon whole genome 5K liquid phase chip is composed of 5483 SNP molecular markers, and the positions of the SNP molecular markers on a pigeon reference genome Cliv1.0 are as shown in a table 1. Whole genome re-sequencing is carried out on local pigeon varieties and introduced pigeon varieties, quality control screening is carried out through the SNP locus screening strategy to obtain a core SNP locus set, functional SNP loci related to growth and reproductive performance are added, and the method has the advantages of being wide in genetic range, high in pertinence, low in detection cost and high in detection efficiency and has good application prospects. The method has the beneficial effects that the method has important significance on accurate identification and evaluation of pigeon germplasm resources and molecular marker-assisted selective breeding.

The invention provides a beet genetic diversity analysis method based on whole genome re-sequencing. The method comprises the steps of PacBio HiFi library construction, computer sequencing, data information analysis, assembly quality evaluation and Hi-C auxiliary genome assembly. The invention further provides application, and the high-continuity beet reference genome is used for analyzing beet intraspecific genetic diversity and developing high-density molecular markers. According to the method, the high precision of HiFi, the super-long read length of Nanopore and Hi-C space interaction data are combined for the first time, the problems of repeated sequence and complex SV analysis are solved, and all-round breakthrough of genome continuity, annotation integrity, genetic diversity coverage and epigenetic integration is achieved.

The invention discloses a peanut quality character selective breeding method based on whole genome SNP and application, and relates to the technical field of crop breeding, the method comprises the specific steps of data acquisition, SNP optimization and marker screening, model construction and new strain breeding; by integrating whole genome re-sequencing, SNP optimization marker screening and mixed deep learning model construction, peanut quality character prediction and breeding value evaluation are achieved, through whole genome re-sequencing and quality control processes, an SNP variation map is obtained, ten key quality characters including protein, oil content, oleic acid and the like are covered, and the breeding value of peanuts is evaluated. According to the method, comprehensive genetic information is provided for subsequent analysis, a feature marker set is formed by screening out sites in the SNP optimization and marker screening link, interference of low-quality sites is avoided, a whole genome selection model is obtained by adjusting and training a mixed deep learning model and optimizing hyper-parameters through ten-fold cross validation, the breeding period is shortened, and the breeding efficiency is improved. And the prediction error rate is reduced.

The invention belongs to the technical field of molecular biology and plant molecular breeding, and particularly relates to a mustard core SNP molecular marker set and a screening method and application thereof. The invention provides a core SNP marker set (33) which is subjected to whole genome re-sequencing screening and experimental verification and is suitable for mustard germplasm resource identification and genetic analysis for the first time. The marker set is high in polymorphism and good in stability, covers the whole genome and can effectively distinguish different leaf mustard germplasms. By utilizing the core marker set and the matched KASP primer, the genetic typing of the leaf mustard germplasm resources can be quickly and accurately performed with high throughput, and the defects that the traditional morphological identification is time-consuming, labor-consuming and poor in accuracy are overcome. The marker set can be used for analyzing the genetic diversity, the population structure and the phylogenetic relationship of the leaf mustard germplasm resources, and a molecular basis is provided for collection, preservation and evaluation of the germplasm resources and breeding parent matching.

The invention relates to the field of cherry molecular biotechnology and molecular assisted breeding technology detection, in particular to a molecular marker for identifying the core SNP (single nucleotide polymorphism) of a Chinese cherry resource and a DNA (deoxyribonucleic acid) fingerprint spectrum database constructed by using marker sites. 185 resources representing the distribution and genetic diversity of Chinese cherries in China are utilized to perform whole genome re-sequencing and biological information analysis, 469776 SNP molecular markers are obtained, 1674 SNP molecular markers are screened out to serve as core SNP markers, and a DNA fingerprint database of cherry resources is constructed and can be used for identifying germplasm resources of Chinese cherries. DNA genetic information and genetic differences of the to-be-detected Chinese cherry resources are evaluated, and a scientific basis is provided for effective protection of the Chinese cherry resources, utilization of local germplasm and selection of cherry breeding.

The invention discloses a method for improving the synthesis level of L-tryptophan in escherichia coli based on ARTP mutagenesis high-throughput screening, and belongs to the technical field of bioengineering. According to the invention, the L-tryptophan biosensor pSensor-trp3 is constructed, and the L-tryptophan biosensor pSensor-trp3 is good in response under the condition that the exogenous addition concentration range of L-tryptophan is 0-300mg. L <-1 >. High-throughput screening is performed by using a flow cytometry, a dominant mutant strain YB-2 is obtained through iterative mutagenesis, and the shake flask L-tryptophan yield and the sugar-acid conversion rate of the dominant mutant strain YB-2 are 5.68 g.L <-1 > and 0.103 g.g <-1 > respectively and are increased by 11.4% and 10.7%. Through second-generation whole genome re-sequencing comparative analysis, it is speculated that the genes ynfB and waaO possibly have a promoting effect on synthesis of L-tryptophan. The L-tryptophan biosensor used in the invention also provides reference for high-throughput screening and transformation of other related L-tryptophan production strains.

The invention provides a target character prediction method suitable for low-depth sequencing and a whole genome selection model suitable for low-depth sequencing, and relates to the technical field of biology. According to the target character prediction method suitable for low-depth sequencing and the whole-genome selection model provided by the invention, the target character of the to-be-detected sample can be accurately predicted under a limited data volume by combining low-depth whole-genome re-sequencing data with a machine learning technology, and the genome selection efficiency can be improved by matching the two; the time and economic cost of breeding or medical research are reduced, and the method is particularly suitable for large-scale genetic analysis scenes needing rapid iteration.

The invention discloses an immature bitter orange-based original plant identification method based on an InDel molecular marker and a special primer combination, and belongs to the technical field of traditional Chinese medicinal material identification. In order to solve the problem of uncontrollable quality of medicinal materials caused by miscellaneous immature bitter orange base (lime, sweet orange and Yichang orange) in the prior art, two pairs of specific primers YCC-F / R (SEQ ID NO: 1-2) are screened out through genome re-sequencing and are used for specific identification of the Yichang orange (amplifying a single bande-1000bp); the invention relates to a specific primer for identifying three primary plants, in particular to a specific primer for identifying three primary plants, namely SC-F / R (SEQ ID NO: 3-4), which is used for distinguishing acid orange (single bande-1300 bp) and sweet orange (double bande-1200 bp / 1300 bp), and triple accurate identification of the three primary plants can be realized by combining PCR (Polymerase Chain Reaction) amplification and gel electrophoresis analysis. The method is simple and convenient to operate, low in cost, short in period and suitable for large-scale source tracing and quality control of medicinal materials.

The invention relates to the technical field of molecular markers and animal genetic breeding, in particular to an SNP marker influencing pig UMP content and application thereof. Whole genome re-sequencing and GWAS analysis are adopted, American-series purebred landrace pigs, American-series purebred large white pigs and American-series purebred duroc are used as research objects, seven SNP markers related to the pig UMP content are researched and determined, by optimizing dominant alleles of the SNP, the frequency of the dominant alleles can be increased generation by generation, the UMP content can be increased, and the pig UMP content can be improved. The pig genetic improvement progress is accelerated, so that the economic benefit of breeding pig breeding is effectively improved.

The invention belongs to the technical field of biomolecular markers, and particularly relates to an SNP (Single Nucleotide Polymorphism) molecular marker related to the crown tooth number character of broiler chicken as well as a primer and application of the SNP molecular marker. Through phenotypic determination and whole genome re-sequencing related to crown tooth number characters of broiler individuals and whole genome association analysis, the excavated Chr7: 391959 locus and the crown tooth number have extremely high genetic correlation, the significance reaches 2.90 * 10 <-7 >, phenotypic variation variances capable of being explained reach 1.75%, the genetic effect is very remarkable, and the method has the advantages that the method is simple and convenient to operate, and the method is suitable for popularization and application. Therefore, the molecular marker can be effectively used for molecular marker-assisted selective breeding of the crown tooth number character of the broiler chicken, individuals with the molecular marker Chr7391959 site as the TT genotype are selected as breeding hens, the genetic selection process of the crown tooth number character of the yellow feather broiler chicken can be accelerated, the individuals are directly bred on the genome level in the early stage, the breeding efficiency is improved, and the breeding cost is reduced. The industrial competitiveness of the yellow feather broilers is effectively improved.

The invention discloses a Chinese rose petal outer edge wave whole genome SNP (Single Nucleotide Polymorphism) molecular marker combination and application thereof, and aims to solve the problems that the traditional Chinese rose breeding period is long, the Chinese rose breeding is easily interfered by the environment, and the petal wave character cannot be predicted in a seedling or seed stage. According to the method, 358 Chinese rose whole genome re-sequencing data and petal outer edge wave phenotype association analysis are integrated, a multi-model combined screening strategy is adopted, 1453 SNP markers obviously associated with petal outer edge waves are determined, and a whole genome selection model with high prediction precision is constructed. By combining a specific probe and chip technology, high-throughput and rapid detection is realized, the detection period can be shortened, the petal wave traits can be directly predicted by utilizing genotype data in a seedling stage, the breeding process is accelerated, and core data support is provided for Chinese rose petal outer edge wave genetic law analysis and molecular marker-assisted breeding; the method has outstanding theoretical value and application potential.

The invention belongs to the technical field of aquatic product breeding, and particularly relates to a KASP molecular marker related to high temperature resistance character of patinopecten yessoensis and application of the KASP molecular marker in genetic breeding. On the basis of genome re-sequencing of 200 patinopecten yessoensis, a PySNP587919 locus obviously associated with the patinopecten yessoensis high-temperature-resistant character is screened by combining a whole genome SNP genotype and whole genome association analysis of the patinopecten yessoensis high-temperature-resistant character, and after the reliability of the locus is verified through Sanger sequencing, the locus is developed into a KASP marker, and the KASP marker can be used for identifying the high-temperature-resistant character of the patinopecten yessoensis and identifying the high-temperature-resistant character of the patinopecten yessoensis. The screening method can be used for screening the high-temperature-resistant comb shells. Furthermore, the invention also establishes a method for screening the high-temperature-resistant patinopecten yessoensis, and the method is efficient and accurate. Therefore, the technical scheme provided by the invention is suitable for molecular marker-assisted breeding work, rapid and effective screening of parents can be realized by typing the PySNP587919 site, and the breeding efficiency is improved.

The invention discloses a loach sex-specific SNP (Single Nucleotide Polymorphism) marker and a genetic sex identification method, and belongs to the technical field of fish genetic breeding. The loach sex specificity SNP marker disclosed by the invention is obtained through whole genome re-sequencing and GWAS analysis and screening; according to the loach genetic sex identification method, on the basis that specific primers are designed aiming at the SNP marker, loach genome DNA is used as a template, individual SNP types are obtained through PCR amplification and Sanger sequencing, the homozygous type is female, and the heterozygous type is male. According to the method, the genetic sex of the individual can be accurately identified, pseudo male fish, pseudo female fish and the like obtained through artificial induction can be screened out, sex identification can be carried out in the early development stage of the individual, and the method has the advantages that damage of the tested individual is minimized, and survival is not affected. The method has an important application value in parent sex identification in loach sex control breeding.

This invention discloses a combination of SNP loci, a gene chip, and their applications for cotton variety identification, relating to the fields of bioinformatics and molecular breeding. From 100 cotton whole-genome resequencing data, this invention screened out 128 SNPs, which can be used as SNP fingerprints for cotton varieties. Using the SNP molecular markers and liquid-phase probes developed in this invention, cotton identification achieved a 100% detection rate, with a minimum allele frequency greater than 0.05, capable of distinguishing any two cotton varieties, enabling efficient and rapid cotton variety identification. Furthermore, this invention utilizes next-generation sequencing technology, resulting in a simple and standardized procedure that reduces human error, leading to extremely low unit costs for batch identification analysis. It is economical and efficient, particularly suitable for large-sample analysis and identification, and has promising application prospects.

The invention provides a method for detecting genes related to early growth traits of Inner Mongolia down producing goats based on copy number variation (CNV). The method comprises the following steps: acquiring whole genome re-sequencing data of 461 Inner Mongolia down producing goats; the method comprises the following steps: detecting autosomal CNV by using CNV native software, and screening out 26,003 non-redundant CNV which covers 1, 015.4 Mb (38.97%) of an autosomal genome; gWAS analysis is carried out on the basis of CNV, 11 CNVs obviously related to early growth traits (birth weight CSZ, weaning weight DRZ, daily gain ADG before weaning and 12-month-old weight ZWT) are identified, and two CNVs influence ADG and DRZ at the same time; seven key candidate genes (ZN845, SOX15, FGF11, GPS2, DVL2, SPRY4 and STAT2) are analyzed and identified through bioinformatics, and GO and KEGG function enrichment analysis is utilized to find that the genes participate in biological pathways such as cell proliferation, differentiation and protein phosphorylation. The invention provides a theoretical basis for molecular marker-assisted breeding of Inner Mongolia down producing goats, and has important scientific value and application prospect.

The invention discloses an SSR molecular marker primer related to leek dormancy as well as a detection method and application of the SSR molecular marker primer. Aiming at the problems that the traditional dormancy character identification of Chinese chives depends on field morphological observation as long as 4 months, the efficiency is low and special molecular markers are lacked, seven pairs of specific SSR primers (SSR005 / 170 / 249 / 325 / 423 / 478 / 610) are developed based on cross-species genome re-sequencing (taking green Chinese onion as a reference genome, and the comparison rate is 18.76%-18.89%) for the first time. The method comprises the following steps: establishing a matched detection system: rapidly extracting DNA (deoxyribonucleic acid) by a CTAB (cetyltrimethyl ammonium bromide) method, optimizing a PCR (polymerase chain reaction) system (20 mu L of DNA containing a template of 30 ng, 0.4 U of Taq enzyme, 0.2 mu M of primer, 2.0 mM of Mg < 2 + >, 0.2 mM of dNTPs, and annealing at 57 DEG C), and performing 8% polyacrylamide gel electrophoresis combined with silver staining development, thereby accurately identifying the dormancy character within 7 days. For example, the SSR423 primer has non-differentiated non-dormancy / dormancy germplasm at 177bp, and the coincidence rate of the detection result of 52 germplasm (such as dormancy germplasm 21-1 and non-dormancy germplasm 22-7) and the field phenotype reaches 100%.

The invention discloses a fig germplasm resource diversity evaluation system and a fig germplasm resource diversity evaluation method, and relates to the field of comprehensive evaluation.The fig germplasm resource diversity evaluation method comprises the steps that after multi-climate zone fig germplasm resources are collected and samples are processed in a standardized mode, 32 phenotypic characters are obtained in combination with hyperspectral imaging, 3D morphological scanning and a physiological sensor; a UPLC-QTOF-MS technology is utilized to construct metabolite fingerprints of leaves and fruits, and an SNP / InDel molecular marker is developed through whole genome re-sequencing for genotyping. Integrating stress resistance physiological data in a stress environment, and calculating a comprehensive score by adopting an analytic hierarchy process. And screening core evaluation indexes through weighted principal component analysis, constructing a similarity matrix in combination with an improved Shannon-Wiener index and a Neii's genetic distance algorithm, and finally forming a germplasm clustering map and a genetic diversity thermodynamic diagram. The method has the advantages that germplasm representativeness is guaranteed through multi-climate-zone sampling, multi-dimensional data are integrated, core indexes are accurately analyzed and screened, a visual atlas is finally generated, and scientific support is provided for germplasm research and breeding.

The invention discloses a grape cold resistance character whole genome selective breeding method based on machine learning, which comprises the following steps: carrying out whole genome re-sequencing and freezing point detection on 352 grape germplasm resources, and carrying out whole genome association analysis, so as to obtain a variation site data set related to cold resistance characters. Then, ten classic regression models are utilized to train a variation site data set after dimension reduction, and phenotypic training and evaluation of the grape cold resistance character are realized. Finally, a Bayesian regression model and 4189 variation points are adopted, the prediction accuracy rate of 82.2% is achieved in a training set, and the Pearson correlation coefficient between a predicted value and a true value in a test set reaches 95%. The invention relates to the technical field of grape cold resistance character whole genome selective breeding. According to the machine learning-based grape cold-resistant character whole-genome selective breeding method, the screening cost of grape filial generations is remarkably reduced, the cold-resistant breeding efficiency is improved, and the method has an important breeding application value.

The invention discloses an SNP (Single Nucleotide Polymorphism) molecular marker combination for predicting the shape of Chinese rose petals and application of the SNP molecular marker combination. Based on whole genome re-sequencing data of 358 Chinese rose germplasm resources, significant SNP sites with the length (2882), the width (2360) and the length-width ratio (2581) of the petals are screened out through multi-model GWAS analysis, and a high-precision prediction model (BRR model R2gt; 0.651) of the optical fiber. A liquid phase probe is synthesized on the basis of an Agilent SureDesign platform, a targeted capture chip is integrated, the dynamic development trajectory of petals can be predicted through genotyping in the seedling stage, and the longitudinal growth potential and the transverse expansion trend are quantified. According to the method, the technical bottleneck of traditional static measurement is broken through, target strains are accurately screened within 6-8 months after sowing, the breeding period is shortened to 2-3 years, and meanwhile the field planting and manual screening cost is reduced.

The invention discloses a Chinese rose petal outer edge notch whole genome SNP molecular marker combination and application thereof, and aims to overcome the defects in the prior art, 879 SNP markers significantly related to petal outer edge notch are identified by fusing 358 Chinese rose whole genome re-sequencing data and petal outer edge notch phenotype correlation analysis and applying a multi-model combined screening technology, and the SNP markers are used for identifying the petal outer edge notch. And a whole genome selection model with high prediction accuracy is established. The markers are distributed on 14 chromosomes, high-throughput and rapid detection can be achieved, the detection period is shortened, the petal wave character is directly predicted through seedling genotype data, and the breeding process is accelerated. The method has the advantages of low cost, high throughput and industrialization potential, provides key data support for Chinese rose petal outer edge notch genetic law analysis and molecular marker assisted breeding, and significantly improves the breeding efficiency and precision.

The invention belongs to the field of molecular breeding, and particularly discloses a molecular marker for identifying the width of tartary buckwheat seeds, a molecular marker primer group and application of the molecular marker, the SNP site of the molecular marker is located at the 22515278 bp position of the first chromosome of a tartary buckwheat reference genome, and the base polymorphism of the molecular marker is G / T; according to the invention, an F2 segregation population constructed by a wide-grain material KQ-1 and a narrow-grain material JQ-2 is subjected to whole genome re-sequencing and correlation analysis of grain width phenotype data, and an SNP locus which is extremely remarkably related to grain width is identified in a 22.51 Mbp interval of a first chromosome of tartary buckwheat; the genotype of the locus is highly consistent with the grain width phenotype, and the locus can be directly used for rapid identification of tartary buckwheat germplasm resources, early screening of filial generations and molecular marker-assisted breeding of high-yield tartary buckwheat varieties, and has important application value.

The invention relates to the technical field of intelligent agriculture and crop models, and particularly discloses a corn whole growth period simulation model construction method based on gene information. The method comprises the following steps: firstly, obtaining whole genome re-sequencing data of a target corn population and multi-growth-stage phenotype data of continuous years at the same ecological point, and dividing the population into a plurality of subgroups with consistent genetic backgrounds based on the re-sequencing data; and then, by adopting a strategy of'single family parameter inversion-subgroup template construction-secondary optimization and calibration on a single genotype under the constraint of the subgroup template ', the genetic subgroup characteristics based on the genome are associated with an APSIM crop model, and a high-precision corn growth period prediction model is constructed. According to the method, the defects that a traditional crop model is low in large-scale breeding material parameter calibration efficiency and prone to falling into local optimum are overcome, and the method is particularly suitable for efficient and accurate growth period prediction and adaptability evaluation on a large number of breeding materials in a unified ecological region.

The invention discloses a nuclear factor YB subunit gene GhNF-YB3 and application thereof. The nucleotide sequence of the gene GhNF-YB3 is shown as SEQ ID NO. 1, and the nucleotide sequence of the gene GhNF-YB3 is shown as SEQ ID NO. The site gene GhNF-YB3 significantly related to the cotton yield trait is obtained by performing yield trait investigation on 245 upland cotton varieties and combining population genome re-sequencing and ovule transcriptome sequencing one day after flowering to perform GWAS and eQTL positioning. Gene expression of the gene GhNF-YB3 is in significant positive correlation with two yield traits, namely seed index and boll weight, and the gene GhNF-YB3 may be a causal gene for regulating and controlling the traits of the seed index of cotton. The nuclear factor YB subunit gene GhNF-YB3 disclosed by the invention can be applied to identification of high-yield upland cotton varieties and improvement of cotton yield traits.

The application discloses a kind of silver carp variety specific SNP molecular marker combination, silver carp DNA fingerprint and application, the SNP molecular marker combination includes 367 SNP sites, the site information of the SNP molecular marker combination is as shown in table 1.The application takes silver carp germplasm resource as research object, obtains genotype by whole genome resequencing method, and then filters out 367 specific SNP markers capable of distinguishing different silver carp varieties, and the DNA fingerprint based on these markers can be used to distinguish different silver carp varieties.Compared with traditional methods, the fingerprint has the characteristics of high accuracy and strong reliability when used for silver carp variety identification.This technology not only provides strong support for the specific evaluation of silver carp varieties, the protection and management of breed rights, and the optimization and structure adjustment of silver carp breeding industry, but also shows good application prospects in the classification of silver carp germplasm resources, the confirmation of breed rights and the tracing of individual sources.

The invention discloses a KASP molecular marker related to the oil character of upland cotton, a KASP primer and application of the KASP molecular marker and the KASP primer, and belongs to the technical field of molecular biology and plant molecular breeding. The invention discloses a KASP molecular marker for cotton oil content identification developed by whole genome re-sequencing and application, and in order to develop a KASP molecular marker for assisting cotton oil content breeding work, the invention develops the cotton oil content KASP molecular marker from 562 parts of upland cotton germplasm materials based on whole genome re-sequencing. The molecular markers are used for PCR detection, and the oil content of the cotton can be rapidly, accurately and effectively identified. Marker-assisted breeding of high-oil cotton is assisted, and a breeding plan is accelerated to improve the cotton oil content.

The present application relates to the field of molecular markers and animal genetic breeding technology, and particularly relates to a SNP marker affecting pig purine base content and application thereof. Based on three test pig populations of American purebred Landrace, American purebred Large White and American purebred Duroc, the present application uses pig whole genome resequencing and GWAS analysis to research and determine 15 SNP markers significantly affecting pig purine base content. By selecting the advantageous alleles of the above SNP markers, the frequency of the advantageous alleles can be increased generation by generation, the corresponding purine content can be reduced or increased, the progress of pig genetic improvement can be accelerated, and the economic benefits of pig breeding can be effectively improved.

The present invention discloses a molecular marker for identifying Vitis vinifera and its interspecific hybrid grapes and its application, belonging to the technical field of biological breeding. Through the analysis of whole-genome resequencing data, the present invention identifies a significant InDel locus IH1, which is located at 7,224,357 bp on chromosome 13 of grapes. This locus shows significant genotypic differences between Vitis vinifera grapes and their interspecific hybrids. Through the differences in the number and distribution of electrophoretic bands, Vitis vinifera grapes and their interspecific hybrids can be visually and accurately distinguished. Based on the characteristics of this molecular marker, it can be used for rapid screening of interspecific hybrid offspring lines in the early stage of breeding to eliminate self-crossed offspring. At the same time, it can also rapidly screen the genetic background of seedlings to ensure the accuracy of seedlings, which plays an important role in the early screening of breeding offspring and the screening of the genetic background of seedlings.

This invention relates to the fields of molecular markers and animal genetic breeding technology, specifically to a molecular marker located on chromosome 4 of pigs that is associated with body size and carcass traits, and its application. Using the F7 generation of a chimeric family as the research object, this invention employs whole-genome resequencing and GWAS analysis to study and identify the molecular markers located on chromosome 4 of pigs associated with body size and carcass traits. By optimizing the dominant alleles of these molecular markers, the frequency of dominant alleles can be increased generation by generation, enabling rapid and accurate selection of body size and / or carcass traits, accelerating the progress of pig genetic improvement, and thus effectively improving the economic benefits of pig breeding.

The invention provides a method for screening candidate genes and SNP (Single Nucleotide Polymorphism) loci related to residual feed intake of Sahu hybrid sheep, which is characterized by comprising the following steps: S1, collecting jugular vein blood samples of the Sahu hybrid sheep, and extracting genomic DNA (Deoxyribose Nucleic Acid) of the blood samples for quality detection; the method comprises the following steps: S1, extracting DNA, S2, carrying out whole genome re-sequencing on the extracted DNA and carrying out genotyping to obtain SNP genotype data, and S3, carrying out reference genome comparison, SNP detection and genotype quality control. And S4, carrying out whole genome association analysis on the residual feed intake character of the Sahu hybrid sheep to obtain a significant SNP site. The nucleotide sequence of the SNP site obviously related to the residual feed intake of the Sahu hybrid sheep, which is obtained by the method provided by the invention, is as shown in SEQ ID NO.1, the basic group R at the 51st site of the sequence is A or G, the gene mutation causes the nucleotide of the sequence to generate polymorphism, and when the marker is mutated into G, the Sahu hybrid sheep shows lower residual feed intake.