Suppr超能文献

用于研究菊芋(Helianthus tuberosus L.)遗传多样性和群体分析的EST-SSR标记的鉴定与开发。

Characterization and development of EST-SSR markers to study the genetic diversity and populations analysis of Jerusalem artichoke (Helianthus tuberosus L.).

作者信息

Yang Shipeng, Zhong Qiwen, Tian Jie, Wang Lihui, Zhao Mengliang, Li Li, Sun Xuemei

机构信息

Qinghai Vegetable Genetics and Physiology Laboratory, Xining, 810016, People's Republic of China.

Agriculture and Forestry Sciences Institute of Qinghai University, Xining, 810016, People's Republic of China.

出版信息

Genes Genomics. 2018 Oct;40(10):1023-1032. doi: 10.1007/s13258-018-0708-y. Epub 2018 Jun 28.

Abstract

In recent years, Jerusalem artichoke has received widespread attention as a novel source of sugar, biofuel, and animal feed. Currently, only few gDNA-SSRs derived from sunflower were verified in the Jerusalem artichoke; therefore, it is particularly important to develop SSR primer markers that belonged to Jerusalem artichoke resources. Using EST data to develop EST-SSR markers is simple and effective. In order to understand the general characteristics of SSR markers in Jerusalem artichoke EST sequences and accelerate the use of SSR markers in Jerusalem artichoke research. This study used 40,370 sequenced unigene fragments and MISA software to identify SSR loci. The 48 pairs of EST-SSR primers assessed for the identification of 45 varieties of Jerusalem artichoke. Cluster, genetic diversity parameters and AMOVA analysis was conducted using the genetic similarity coefficient, revealing genetic differences between 48 genetic material. A total of 1204 SSR loci were identified with 13 different types of repeats, distributed among 1020 EST sequences, of which trinucleotide repeats were the most common, accounting for 38.21% of the total SSR loci. Among the 44 repeat motifs, AG/CT, AAG/CTT, and ATC/ATG motifs had the highest frequencies, accounting for 22.45, 14.71, and 7.84% of all motifs, respectively. From these sequences, 48 pairs of EST-SSR primers were designed, and 22 primer pairs for loci with high polymorphism were selected to analyze the genetic diversity of 45 Jerusalem artichoke germplasm sources. The results indicated that the variation range of the effective number of alleles for 22 primers ranged between 1.7502 and 4.5660. The Shannon's information index ranged between 0.6200 and 1.6423. The variation range of PIC ranged between 0.3121 and 0.6662 with an average of 0.5184. Cluster analysis was conducted using the genetic similarity coefficient, revealing significant genetic differences between Asian and European genetic material. Cluster analysis revealed a relationship between the genotypes and geographic origins of the Jerusalem artichoke. The results of AMOVA as well as the genetic identity and genetic distance in the Jerusalem artichoke population showed that there presented certain genetic heterogeneity in Jerusalem artichoke genetic structure of 45 samples from seven different geographic populations. The Jerusalem artichoke EST-SSR marker system established in this study provides an effective molecular marker system for future research focused on Jerusalem artichoke genetic diversity and the breeding of new varieties.

摘要

近年来,菊芋作为一种新型的糖、生物燃料和动物饲料来源受到了广泛关注。目前,在菊芋中仅验证了少数源自向日葵的基因组DNA-简单序列重复(gDNA-SSRs);因此,开发属于菊芋资源的SSR引物标记尤为重要。利用表达序列标签(EST)数据开发EST-SSR标记既简单又有效。为了了解菊芋EST序列中SSR标记的一般特征,并加速SSR标记在菊芋研究中的应用。本研究使用40370个测序的单基因片段和MISA软件来鉴定SSR位点。评估了48对EST-SSR引物以鉴定45个菊芋品种。使用遗传相似系数进行聚类、遗传多样性参数分析和分子变异分析(AMOVA),揭示了48个遗传材料之间的遗传差异。共鉴定出1204个SSR位点,具有13种不同类型的重复,分布在1020个EST序列中,其中三核苷酸重复最为常见,占总SSR位点的38.21%。在44个重复基序中,AG/CT、AAG/CTT和ATC/ATG基序的频率最高,分别占所有基序的22.45%、14.71%和7.84%。从这些序列中设计了48对EST-SSR引物,并选择了22对具有高多态性位点的引物对45份菊芋种质资源的遗传多样性进行分析。结果表明,22对引物的有效等位基因数变异范围在1.7502至4.5660之间。香农信息指数在0.6200至1.6423之间。多态信息含量(PIC)的变异范围在0.3121至0.6662之间,平均为0.5184。使用遗传相似系数进行聚类分析,揭示了亚洲和欧洲遗传材料之间存在显著的遗传差异。聚类分析揭示了菊芋基因型与地理起源之间的关系。菊芋群体的AMOVA结果以及遗传同一性和遗传距离表明,来自七个不同地理群体的45个样本的菊芋遗传结构存在一定的遗传异质性。本研究建立的菊芋EST-SSR标记系统为未来聚焦菊芋遗传多样性和新品种选育的研究提供了一种有效的分子标记系统。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验