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Home > Archive>Volume 26, Issue 1, 2025 >133-147. DOI:10.13430/j.cnki.jpgr.20240403002
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Construction of DNA Molecular Identity Card of Broomcorn Millet Resources in Inner Mongolia
Author:
Affiliation:

1.College of Agronomy， Shanxi Agricultural University， Taigu030801;2.Center for Agricultural Genetic Resources Research， Shanxi Agricultural University/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on Loess Plateau， Ministry of Agriculture and Rural Affairs/Shanxi Key Laboratory of Genetic Resources and Genetic Improvement of Minor Crops， Taiyuan 030031;3.Panhandle Research & Extension Center， Department of Agronomy and Horticulture， University of Nebraska-Lincoln， Scottsbluff 69361， Nebraska， USA

Fund Project:

National Special Fund for Construction of Modern Agricultural Industrial Technology System （CARS-06-14.5-A16）； The Special Fund for Construction of Modern Agricultural Industrial Technology System of Shanxi Province （2023CYJSTX03-12）； The Key Research & Development Project of Shanxi Province （2022ZDYF110）；Shanxi “1331”Project Crop Soience First-Class Discipline Construction Project； Graduate Education Reform and Quality Improvement Project of College of Agronomy， Shanxi Agricultural University （2023YCX33，2023YCX48，2023YCX45，2023YDT05）

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    Abstract:

    Broomcorn millet （Panicum miliaceum L.） is a diverse and ancient crop with rich germplasm resources. The use of fluorescent SSR markers enables the digital management and classification of these resources， facilitating their rational and efficient utilization. In this study， 258 broomcorn millet accessions from Inner Mongolia， China， were used to develop 12 fluorescent SSR markers， based on 85 pairs of conventional SSR markers previously developed by our research group， through multiple rounds of amplification， selection， optimization and modification （adding fluorescent labels to the 5'-end of the primers）. MapChart 2.32 was used to plot the chromosome location of these markers， ID Analysis 4.0 to assess the discriminating power of the markers， PowerMarker 3.25 and PopGen 1.32 for genetic diversity analysis， MEGA 11.0.10 for constructing the cluster diagram， and NTSYSpc2.11a for principal component analysis. A DNA molecular ID was created for the genotypes using a QR code generator. Genetic diversity analysis showed that there were 123 alleles in 258 materials amplified by 7 pairs of markers， with an average of 17.5714 alleles per marker. The mean values of effective alleles ， Shannon diversity index， Observed heterozygosity， expected heterozygosity ， Nei's gene diversity index and Polymorphism information content were 7.4622， 2.2270， 0.8021， 0.8372， 0.8353， and 0.8994. The results of capillary electrophoresis were encoded in a specific way， and only 7 pairs of fluorescent labels （RYW6， RYW8， RYW37， RYW40， RYW67， RYW124 and RYW125） were used to generate 258 strings and two-dimensional code DNA molecular identity cards of Inner Mongolia millet resources. This approach provided a molecular detection tool and theoretical basis for the classification management and rapid identification of the germplasm resources of Inner Mongolia broomcorn millet germplasm resources.

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  • Received:April 03,2024
  • Online: January 07,2025
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