Genetic identity based on simple sequence repeat (SSR) markers for Quinoa (Chenopodium quinoa Willd.)

Q2 Agricultural and Biological Sciences
M. Romero, Angel Mauricio Mujica Sanchez, E. Pineda, Yesenia Ccamapaza, Nohely Zavalla
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引用次数: 8

Abstract

Molecular markers based on simple sequence repeats (SSRs) constitute a highly effective instrument in the identification of quinoa genotypes ( Chenopodium quinoa ), and they are very useful in the management and conservation of germplasm banks. The present study was carried out in the Molecular Biology Laboratories of the Megalaboratory of the National University of the Altiplano and the National Agrarian University la Molina. With the objective of determining a minimum group of highly informative initiators for the cultivation of quinoa to study and identify the obtained alleles and implementing and incorporating this technology into research of genetic identity, the molecular analysis of nine loci located by microsatellite markers (SSRs) was performed on a sample of 26 varieties of quinoa: Ayrampo, Amarilla de Marangani, Choclito, Chullpi, Huariponcho, Pandela, Sajama, Witulla, Kcancolla, Negra Collana, Salcedo, Pasankalla, Blanca de Juli, and Chenopodium petiolare from the CIP-Camacani and Blanca de Juli, Kcancolla, Negra Collana, Pasankalla, Altiplano, Illpa INIA, Salcedo, Ayara Blanca de Juli, Ayara Blanca de Arequipa, Ayara Cancolla, Ayara Pasankalla, and Ayara Salcedo from the INIA. Genomic DNA was extracted by PCR (GeneJET Plant Genomic DNA Purification), and 20 microsatellite regions were amplified. The amplified fragments were loaded on polyacrylamide gels to determine their size in base pairs, of which only nine showed products with reading quality (QCA012, QCA015, QCA021, QCA029, QCA034, QCA040, QCA053, QCA055 and QCA067). The fragments were evaluated for their allelic richness, heterozygosity (H) and polymorphic information content (PIC). The data were processed with Gen Alex software ver. 3.5 A total of 67 alleles were detected among the different regions analyzed, with an average of 7 alleles for loci ranging from 142 to 240 bp and an effective number of alleles (ENA) of 5.36. The mean heterozygosity was 0.80, and the mean Polymorphic Information Content (PIC) was 0.81. The markers were highly polymorphic; therefore, the most informative SSR primers in the present study would be made up of three markers with PIC, QCA053 (0.87), QCA015 (0.86) and QCA034 (0.86), for determining the genetic identity of Chenopodium quinoa Willd. These markers can be easily interpreted and are useful for the molecular characterization of quinoa varieties. Analysis of the hierarchical clusters using UPGMA (Unweighted Pair Group Method) clustering identified 5 groups at a similarity coefficient of 0.77 among the quinoa varieties studied in this research.
基于SSR标记的藜麦(Chenopodium Quinoa wild .)遗传特性分析
基于简单序列重复序列(SSRs)的分子标记是鉴定藜麦基因型的一种高效工具,在种质库的管理和保护中具有重要的应用价值。本研究在Altiplano国立大学Megalaboratory的分子生物学实验室和莫利纳国立农业大学进行。为了确定用于藜麦种植的最低信息量的高信息启动子组,以研究和鉴定获得的等位基因,并将该技术应用于遗传身份研究,对26个藜麦品种的样本进行了微卫星标记(SSR)定位的9个基因座的分子分析:Ayrampo,Amarilla de Marangani、Choclito、Chullpi、Huariponcho、Pandela、Sajama、Witulla、Kcancolla、Negra Collana、Salcedo、Pasankalla、Blanca de Juli和Chenopodium petiolare来自CIP Camacani和Blanca de Juli、Kcancola、Nebra Collana,和来自INIA的Ayara Salcedo。用聚合酶链式反应(GeneJET Plant Genomic DNA Purification)提取基因组DNA,扩增出20个微卫星区。将扩增的片段装载在聚丙烯酰胺凝胶上,以确定其碱基对的大小,其中只有9个显示出具有读取质量的产物(QCA012、QCA015、QCA021、QCA029、QCA034、QCA040、QCA053、QCA055和QCA067)。对这些片段的等位基因丰富度、杂合性(H)和多态信息含量(PIC)进行了评估。数据用Gen Alex软件进行处理。3.5在分析的不同区域中共检测到67个等位基因,142至240bp的基因座平均有7个等位位点,有效等位基因数(ENA)为5.36。平均杂合度为0.80,平均多态信息含量(PIC)为0.81。标记具有高度多态性;因此,本研究中信息量最大的SSR引物将由三个PIC标记组成,即QCA053(0.87)、QCA015(0.86)和QCA034(0.86。这些标记可以很容易地解释,并可用于藜麦品种的分子表征。利用UPGMA(Unweighted Pair Group Method,未加权对群法)聚类分析,在本研究研究的藜麦品种中确定了5个相似系数为0.77的群体。
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来源期刊
Ciencia E Investigacion Agraria
Ciencia E Investigacion Agraria 农林科学-农业综合
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: The subject matter that is considered to be appropriate for publication in International Journal of Agriculture and Natural Resources (formerly Ciencia e Investigación Agraria) is all new scientific and technological research in agriculture, animal production, forestry, natural resources and other related fields.
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