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<p>Kernel-used apricots, especially <i>Armeniaca sibirica</i> and <i>A. vulgaris</i>, are well known for their ecological and economic value. However, it is difficult to identify and classify germplasm at the interspecific and intraspecific levels based on morphological analysis because of resource abundance. Furthermore, work related to germplasm identification is still in the preliminary stage. In this study, a total of 90 apricot accessions, including 87 kernel-used apricots (45 <i>A. sibirica</i>, 40 <i>A. vulgaris</i> var. <i>ansu</i>, and two <i>A. mandshurica</i>) and three cultivated apricots, were examined with 18 selected fluorescent-labeled simple sequence repeat markers. The results showed that the markers were highly polymorphic among the tested materials. The average alleles number of per locus was 13, and the polymorphism information content was 0.5151–0.7898, with a mean of 0.7041. Subsequently, the identification ability for each marker was assessed using probability of identity (<i>PI</i>), <i>PI</i> between siblings (<i>PIsibs</i>) and power of discrimination (<i>PD</i>), which showed that the probability of seeking out two random individuals with the same genotypes at the 18 loci was estimated to be 2.79 × 10<sup>–20</sup>. Meanwhile, six markers were further filtered as a core marker set that provided sufficient resolution for identification of the individuals in larger groups, and to generate unique string DNA molecular ID and QR code ID card of the 90 accessions. This study provides a rapid, accurate and efficient molecular identification method and a basis for the utilization, conservation and management of kernel-used apricot.</p>

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Establishment and application of DNA molecular fingerprint of kernel-used apricots using capillary electrophoresis with fluorescence-labeled simple sequence repeats (SSR)

  • 期刊论文

  • 发表日期：

    2025年9月9日

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  • Yongqiang Sun,
  • Jianhua Chen,
  • Yuncheng Zhang,
  • Ruilin Liu,
  • Shipeng Wang,
  • Shengjun Dong

摘要

Kernel-used apricots, especially Armeniaca sibirica and A. vulgaris, are well known for their ecological and economic value. However, it is difficult to identify and classify germplasm at the interspecific and intraspecific levels based on morphological analysis because of resource abundance. Furthermore, work related to germplasm identification is still in the preliminary stage. In this study, a total of 90 apricot accessions, including 87 kernel-used apricots (45 A. sibirica, 40 A. vulgaris var. ansu, and two A. mandshurica) and three cultivated apricots, were examined with 18 selected fluorescent-labeled simple sequence repeat markers. The results showed that the markers were highly polymorphic among the tested materials. The average alleles number of per locus was 13, and the polymorphism information content was 0.5151–0.7898, with a mean of 0.7041. Subsequently, the identification ability for each marker was assessed using probability of identity (PI), PI between siblings (PIsibs) and power of discrimination (PD), which showed that the probability of seeking out two random individuals with the same genotypes at the 18 loci was estimated to be 2.79 × 10–20. Meanwhile, six markers were further filtered as a core marker set that provided sufficient resolution for identification of the individuals in larger groups, and to generate unique string DNA molecular ID and QR code ID card of the 90 accessions. This study provides a rapid, accurate and efficient molecular identification method and a basis for the utilization, conservation and management of kernel-used apricot.