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通过微卫星标记进行基因库管理:以两个意大利桃种质资源库为例

Genebank Management Through Microsatellite Markers: A Case Study in Two Italian Peach Germplasm Collections.

作者信息

Vendramin Elisa, da Silva Linge Cássia, Bassi Daniele, Micali Sabrina, Chietera Giorgiana, Dettori Maria Teresa, Aramini Valeria, Giovinazzi Jessica, Pacheco Igor, Rossini Laura, Verde Ignazio

机构信息

Research Centre for Olive, Fruit and Citrus Crops (CREA-OFA), Council for Agricultural Research and Economics (CREA), Via di Fioranello, 52, 00134 Roma, Italy.

Department of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, University of Milan, Via Celoria 2, 20133 Milano, Italy.

出版信息

Plants (Basel). 2025 Jul 10;14(14):2139. doi: 10.3390/plants14142139.

Abstract

Two germplasm collections, comprising 1026 peach accessions located in Italy, were analyzed with 12 simple sequence repeat (SSR) markers. SSR reactions were performed using the multiplex-ready PCR protocol, and 147 alleles were amplified with an average of 12 alleles per locus. BPPCT001 was the most informative marker displaying the highest discrimination power (0.734). The observed heterozygosity showed an average of 0.45 alleles per locus, lower than expected (0.61). The fixation index (F) values were positive in all loci, with an average of 0.27 alleles per locus, suggesting the presence of endogamy. The DNA fingerprinting data allowed the discrimination of 80.95% of the analyzed accessions. If we exclude known sport mutations, known synonymies, and cultivars with the same pedigree, 161 accessions are mislabeled, with an error rate of 16.56% within or between collections. Population structure analysis revealed three subpopulations: modern peach cultivars, modern nectarine cultivars, and a third group mainly comprising traditional peach cultivars. The results obtained in this work will be useful to efficiently manage Genebank, reducing unwanted redundancy, synonyms and homonyms, mislabeling, and spelling errors, as well as identifying parents in controlled crosses.

摘要

对意大利的两个种质资源库中的1026份桃品种进行了分析,使用12个简单序列重复(SSR)标记。SSR反应采用多重PCR方案进行,共扩增出147个等位基因,每个位点平均12个等位基因。BPPCT001是信息含量最高的标记,具有最高的鉴别力(0.734)。观察到的杂合度显示每个位点平均有0.45个等位基因,低于预期(0.61)。所有位点的固定指数(F)值均为正值,每个位点平均0.27个等位基因,表明存在近亲繁殖。DNA指纹数据能够区分80.95%的分析品种。如果排除已知的芽变、已知的同义词以及具有相同谱系的品种,有161个品种被错误标记,收集内或收集间的错误率为16.56%。群体结构分析揭示了三个亚群:现代桃品种、现代油桃品种以及主要由传统桃品种组成的第三组。这项工作所获得的结果将有助于有效地管理基因库,减少不必要的冗余、同义词和同音异义词、错误标记和拼写错误,以及在控制杂交中识别亲本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fb0/12300406/837dca2e1c3c/plants-14-02139-g001.jpg

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