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利用iPBS和SCoT标记探索节节麦核心种质群体的遗传多样性

Exploring Genetic Diversity in a Core Collection of Aegilops tauschii Coss. Populations Using iPBS and SCoT Markers.

作者信息

Moradkhani Hoda, Pour-Aboughadareh Alireza, Jamshidi Bita, Jadidi Omid, Mehrabi Ali Ashraf, Türkoğlu Aras, Bocianowski Jan

机构信息

Department of Agronomy and Plant Breeding, College of Agricultural and Natural Resources, University of Tehran, 31587-77871, Karaj, Iran.

Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), 3183964653, Karaj, Iran.

出版信息

Biochem Genet. 2025 Jul 9. doi: 10.1007/s10528-025-11178-0.

Abstract

Evaluation of population structure and genetic diversity is one of the primary steps in any plant breeding program. Wheat (Triticum aestivum L.) is a key staple cereal crop that plays an important role in global food security. The development of improved wheat varieties and the broadening of their genetic base depends on identifying novel allelic variations within germplasm resources. Hence, this study aimed to analyze the genetic diversity and population structure of 111 selected Aegilops tauschii Coss. accessions-the donor of the D-genome in bread wheat-collected from different countries, using Start Codon Targeted (SCoT) and inter-Primer Binding Site (iPBS) molecular markers. Ten selected primers from the SCoT and iPBS marker systems amplified a total of 108 and 147 fragments, respectively. Key informativeness parameters, including the number of polymorphic fragments (NPF), polymorphic information content (PIC), marker index (MI), and resolving power (R), were estimated as 10.80/14.70, 0.38/0.41, 4.12/6.13, and 12.90/16.31 for SCoT and iPBS primers, respectively. Analysis of molecular variance (AMOVA) indicated that genetic variation within regions was greater than variation among them. Among the studied populations, those from Iran and Afghanistan exhibited the highest levels of genetic diversity. Multivariate analyses showed that grouping patterns largely corresponded to the geographical origins of the accessions. These results were further validated by population structure analysis, which confirmed distinct genetic classifications based on SCoT, iPBS, and combined marker data. In conclusion, our results highlight that the combining SCoT and iPBS markers can be a robust approach for genotyping and assessing genetic diversity in plant germplasms. These insights are valuable for wheat breeding programs, aiding in the identification and utilization of diverse germplasm and managing it for crop improvement.

摘要

评估群体结构和遗传多样性是任何植物育种计划的主要步骤之一。小麦(Triticum aestivum L.)是一种关键的主食谷物作物,在全球粮食安全中发挥着重要作用。改良小麦品种的培育及其遗传基础的拓宽取决于在种质资源中鉴定新的等位基因变异。因此,本研究旨在利用起始密码子靶向(SCoT)和引物间结合位点(iPBS)分子标记,分析从不同国家收集的111份选定的节节麦(Aegilops tauschii Coss.)材料——面包小麦D基因组的供体——的遗传多样性和群体结构。从SCoT和iPBS标记系统中选择的10条引物分别扩增出108个和147个片段。关键信息参数,包括多态性片段数(NPF)、多态性信息含量(PIC)、标记指数(MI)和分辨能力(R),SCoT引物和iPBS引物分别估计为10.80/14.70、0.38/0.41、4.12/6.13和12.90/16.31。分子方差分析(AMOVA)表明,区域内的遗传变异大于区域间的变异。在研究的群体中,来自伊朗和阿富汗的群体表现出最高水平的遗传多样性。多变量分析表明,分组模式在很大程度上与材料的地理来源相对应。群体结构分析进一步验证了这些结果,该分析基于SCoT、iPBS和组合标记数据确认了不同的遗传分类。总之,我们的结果突出表明,结合SCoT和iPBS标记可以是一种用于植物种质基因分型和评估遗传多样性的强大方法。这些见解对小麦育种计划很有价值,有助于鉴定和利用不同的种质并对其进行管理以改良作物。

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