The Construction and Application of SSR and SNP Molecular ID for Maize Germplasm Resources of Jilin Province
[Objective]Crop germplasm resources hold a crucial strategic position.The Maize Germplasm Resources Bank in Jilin Province safeguards a collection of germplasm resources distinctively representative of the Northern Spring Maize Region.Traditional germplasm resource management faces challenges in ascertaining accurate identity information.To address this issue,molecular marker technology has been employed to establish a process for the construction and classification of molecular IDs for germplasm resources,thereby enabling precise identification and bolstering categorical management.Thorough exploration of the exceptional resources within Jilin Province's Maize Germplasm Resources Bank is intended to advance the shared utilization of these valuable germplasm resources.[Method]A total of 2 918 maize germplasm resources were utilized from the Jilin Provincial Maize Germplasm Resources Bank as subjects of the study,the molecular IDs were constructed by using 40 pairs of SSR markers and 61 214 SNP markers recommended in maize variety identification standards.Based on the molecular ID information,the germplasm resources were categorized into core,closely related,heterogeneous,and population groups for management purposes.Furthermore,the core germplasms were analyzed on genetic diversity.[Result]In this investigation,the SSR molecular IDs were constructed for 2 918 maize germplasm resources,while the SNP molecular IDs were constructed for 2 502 maize germplasm resources,excluding heterogeneous germplasm.The standards for the construction of SSR and SNP molecular IDs were established for maize germplasm resources.The SSR molecular ID is composed of a combination of three-digit numbers and one-letter code converted from 40 SSR loci fingerprints,stored in the form of a QR code.The SNP molecular ID converts the fingerprints of 61 214 SNP loci into visual barcodes.Based on the features of sample homozygosity and fingerprint specificity,the samples were categorized into 1 561 cores,705 closely related,416 heterogeneous,and 236 population types of germplasm resources.Genetic diversity analysis indicates that domestic germplasm resources,represented by Lüdahonggu and Huanggai groups,constituting the main germplasm resources in the Jilin Provincial Maize Germplasm Resources Bank,accounting for 64.38%of all core germplasm resources.[Conclusion]This research outlines a methodology for constructing molecular IDs for maize germplasm resources.The SSR molecular IDs were constructed for 2 918 accessions stored in the Jilin Provincial Maize Germplasm Resources Bank and the SNP molecular IDs were constructed for 2 502 among them.The germplasm resources were categorized into core,closely related,heterogeneous,and population types to achieve the classification management.
国家科技期刊平台
NSTL
万方数据
维普
