樟子菜遗传多样性和群体遗传结构的估算。使用DAMD和ISSR标记的群体。

IF 3.6 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Kanchana Vaishnav, Vandana Tiwari, Anjala Durgapal, Baleshwar Meena, T S Rana
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引用次数: 4

摘要

背景:Gymnema sylvestre (Retz.)r . Br。Schult交货。是印度著名的抗糖尿病药用植物。在印度没有这种有组织的种植,人们仍然从野外采集这种植物作为治疗用途。因此,对其遗传多样性和群体遗传结构进行评估,对确定其遗传多样性具有重要意义。利用微卫星区DNA (DAMD)定向扩增和简单重复序列(ISSR)分析了11个野生居群118份材料的遗传变异性。结果:对11个居群25个标记(8个DAMD和17个ISSR)的遗传分析显示,在种水平上具有显著的遗传多样性(H = 0.26, I = 0.40, PPL = 80.89%),而居群水平上的平均遗传多样性较低。在11个群体中,PCH和UTK群体的遗传多样性最高,KNR和AMB次之,TEL群体的遗传多样性最低。AMOVA和Gst值(0.18)表明,大部分遗传变异发生在群体内,群体间遗传变异较少,较高的基因流量(Nm = 2.29)是导致群体遗传均一化的主要原因。UPGMA树图的聚类模式与结构和PCoA一致,将11个居群划分为两个主要的遗传集群:集群I(印度北部和中部的居群)和集群II(印度南部的居群)。三种统计方法得到的聚类模式表明,大叶茅居群的遗传结构符合居群的地理多样性,具有较强的遗传结构。结论:本研究鉴定的遗传多样性群体可为进一步勘探和保护这一重要植物资源提供潜在的遗传资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Estimation of genetic diversity and population genetic structure in Gymnema sylvestre (Retz.) R. Br. ex Schult. populations using DAMD and ISSR markers.

Estimation of genetic diversity and population genetic structure in Gymnema sylvestre (Retz.) R. Br. ex Schult. populations using DAMD and ISSR markers.

Estimation of genetic diversity and population genetic structure in Gymnema sylvestre (Retz.) R. Br. ex Schult. populations using DAMD and ISSR markers.

Estimation of genetic diversity and population genetic structure in Gymnema sylvestre (Retz.) R. Br. ex Schult. populations using DAMD and ISSR markers.

Background: Gymnema sylvestre (Retz.) R. Br. ex Schult. is a well-known medicinal plant against diabetes in India. There is as such no organized cultivation in India, and the plant is still being collected from the wild for their therapeutic uses. It is, therefore, important to estimate the genetic diversity and population genetic structure of G. sylvestre to ascertain the genetically diverse germplasm. The present study, therefore, was undertaken to analyze the genetic variability in 118 accessions belonging to 11 wild populations of G. sylvestre using directed amplification of minisatellite-region DNA (DAMD) and inter simple sequence repeats (ISSR).

Results: The present genetic analyses of 11 populations with 25 markers (8 DAMD and 17 ISSR) revealed significant genetic diversity (H = 0.26, I = 0.40, PPL = 80.89%) at a species level, while the average genetic diversity at the population level was low. Among the 11 populations studied, PCH and UTK populations showed maximum genetic diversity, followed by KNR and AMB, while TEL population revealed the lowest genetic diversity. AMOVA and Gst values (0.18) revealed that most of the genetic variations are found within populations and very less among populations, and higher gene flow (Nm = 2.29) was found to be responsible for the genetic homogenization of the populations. The clustering pattern resulting from the UPGMA dendrogram was in congruence with STRUCTURE and PCoA, segregating all the 11 populations into two main genetic clusters: cluster I (populations of North and Central India) and cluster II (populations of South India). The clustering patterns obtained from all three statistical methods indicate that the genetic structure in G. sylvestre populations corresponds to the geographical diversity of the populations and represents a strong genetic structure.

Conclusion: The genetically diverse populations identified during the present study could be a potential genetic resource for further prospecting and conserving this important plant resource.

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