利用 SSR 标记分析沙波塔的遗传亲缘关系

Q3 Agricultural and Biological Sciences Ecological Genetics and Genomics Pub Date : 2024-02-28 DOI:10.1016/j.egg.2024.100234
Hemangini Rathva , Avnish Kumar Pandey , Kiran Suthar , Harish Suthar , Ankita Chakote , Diwakar Singh , Timur Ahlawat , Vinay Parmar , Vivek Kumar Dhiman , Himanshu Pandey , Devendra Singh
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引用次数: 0

摘要

遗传亲缘关系分析是有效保护、维护和改良现有遗传多样性的第一步。近年来,基于 DNA 的标记因其可靠性和技术优势而得到广泛应用。本研究使用了 20 个简单序列重复(SSR)引物来评估 10 个沙波塔基因型之间的遗传亲缘关系。SSR 分析共产生了 59 个等位基因,范围在 88 到 239bp 之间。SapSSR-15、SapSSR-5、SapSSR-21、SapSSR-39 和 SapSSR-59 的等位基因数最多(4 个)。SapSSR-37 的内遗传多样性最高(0.500),而 SapSSR-23 的内遗传多样性最低(0.320)。SapSSR-37 的香农信息指数(I)最高(0.693),而 SapSSR-23 的 I 值最低(0.499)。不同引物的 PIC 值在 0.71-0.89 之间,其中 SapSSR-54 的 PIC 值最高。根据标记分析,发现 SapSSR-4、SapSSR-21、SapSSR-36 和 SapSSR-54 对沙坡头的遗传多样性分析最有效。雅卡德相似系数(0.29-0.86)的范围很广,表明所研究的无患子基因型之间具有中等到高等程度的多样性。此外,树枝图分析表明,基因型的聚类是基于地理起源的。PCA 分析表明,所有基因型在四个坐标上均匀分布。本研究报告的品种特异性等位基因可用于分子指纹识别。本研究揭示的遗传亲缘关系可用于品种鉴定和沙坡头改良计划。
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Genetic relatedness analysis in sapota using SSR markers

Genetic relatedness analysis is the first step toward efficient conservation, maintenance, and improvement of the existing genetic diversity. Recently, DNA-based markers have been widely used due to their reliability and technical advantages. In the present study, twenty Simple Sequence Repeats (SSR) primers were used to evaluate genetic relatedness among ten sapota genotypes. The SSR analysis produced a total of 59 alleles with a range of 88 to 239bp. The maximum numbers of alleles (4) were recorded in SapSSR-15, SapSSR-5, SapSSR-21, SapSSR-39, and SapSSR-59. The Highest Nei genetic diversity was recorded in SapSSR-37 (0.500), whereas the lowest was in SapSSR-23 (0.320). The highest Shannon's information index (I) was observed for SapSSR-37 (0.693), while SapSSR-23 showed the lowest I value (0.499). The PIC value was in the range of 0.71–0.89 among the different primers, where the highest was observed for SapSSR-54. Based on marker analysis, SapSSR-4, SapSSR-21, SapSSR-36, and SapSSR-54 were found to be most effective for the genetic diversity analysis of sapota. The wide range of Jaccard's similarity coefficients (0.29–0.86) reported a moderate to high level of diversity among the studied sapota genotypes. Further, the dendrogram analysis showed clustering of genotypes based on geographical origin. The PCA analysis reported the evenly distribution of all genotypes across the four coordinates. The variety-specific alleles reported in this work can be exploitable for molecular fingerprinting purposes. The genetic relatedness revealed in this study can be useful for both varietal identification and sapota improvement programs.

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来源期刊
Ecological Genetics and Genomics
Ecological Genetics and Genomics Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
1.80
自引率
0.00%
发文量
44
期刊介绍: Ecological Genetics and Genomics publishes ecological studies of broad interest that provide significant insight into ecological interactions or/ and species diversification. New data in these areas are published as research papers, or methods and resource reports that provide novel information on technologies or tools that will be of interest to a broad readership. Complete data sets are shared where appropriate. The journal also provides Reviews, and Perspectives articles, which present commentary on the latest advances published both here and elsewhere, placing such progress in its broader biological context. Topics include: -metagenomics -population genetics/genomics -evolutionary ecology -conservation and molecular adaptation -speciation genetics -environmental and marine genomics -ecological simulation -genomic divergence of organisms
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