The development of next generation sequencing(NGS)and high throughput genotyping are important techniques for the QTL mapping and genetic analysis of different crops.High-resolution melting(HRM)is an emerging technolo...The development of next generation sequencing(NGS)and high throughput genotyping are important techniques for the QTL mapping and genetic analysis of different crops.High-resolution melting(HRM)is an emerging technology used for detecting single-nucleotide polymorphisms(SNPs)in various species.However,its use is still limited in maize.The HRM analysis was integrated with SNPs to identify three types of populations(NIL population,RIL population and natural population),and the useful tags were screened.The patterns of temperatureshifted melting curves were investigated from the HRM analysis,and compared these with the kit.Among all 48 pairs of primers,10 pairs of them were selected:six pairs of primers for the NIL population,three pairs of primers for the RIL population,and one pair of primer for the natural population.The marker for the natural population was developed with a matching rate of 80%for the plant height trait,based on the data of the phenotypic characteristics measured in the field.This study provides an effective method for maize genotyping in the classification of maize germplasm resources,which can be applied to other plants for high-throughput SNP genotyping or further mapping.展开更多
基金This work was supported by the National Natural Science Foundation of China(31371636)Key R&D Project in Shandong Province(2016GNC110018)+3 种基金Applied Basic Research Project of Qingdao(14-2-4-13-jch)“The Innovation Team in Maize”Modern Agricultural System of Shandong Province(SDAIT-02-01)Improved Seed Engineering in Shandong Province(2019LZGC002)National Natural Science Foundation of China(31201218).
文摘The development of next generation sequencing(NGS)and high throughput genotyping are important techniques for the QTL mapping and genetic analysis of different crops.High-resolution melting(HRM)is an emerging technology used for detecting single-nucleotide polymorphisms(SNPs)in various species.However,its use is still limited in maize.The HRM analysis was integrated with SNPs to identify three types of populations(NIL population,RIL population and natural population),and the useful tags were screened.The patterns of temperatureshifted melting curves were investigated from the HRM analysis,and compared these with the kit.Among all 48 pairs of primers,10 pairs of them were selected:six pairs of primers for the NIL population,three pairs of primers for the RIL population,and one pair of primer for the natural population.The marker for the natural population was developed with a matching rate of 80%for the plant height trait,based on the data of the phenotypic characteristics measured in the field.This study provides an effective method for maize genotyping in the classification of maize germplasm resources,which can be applied to other plants for high-throughput SNP genotyping or further mapping.
