Genetic diversity and phylogenetic relationship through the use of microsatellites in Gossypium hirsutum L.

IF 4.3 2区 生物学 Q1 PLANT SCIENCES
Syeda Yashfeen Fatima, Tahira Luqman, Shabbir Hussain, Sahar Nadeem, Muhammad Kashif Riaz Khan, Allah Ditta, Muhammad Asif
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Abstract

Enhancing cotton yield and fiber quality is challenging due to the limited genetic variation, highlighting the need for efficient use of germplasm resources. Therefore, 10 morpho-physiological characters and 10 simple sequence repeat (SSR) markers were used to investigate the genetic variability of 50 cotton genotypes. Principal component analysis and Mahalanobis' generalized distance (D2) were applied to morpho-physiological data. Two principal components presented 53.83% of the cumulative variability in the raw data on biomass-related variables. Four different clusters were exposed by cluster analysis (D2): Cluster I included 20 genotypes, whereas clusters II, III, and IV had 6, 18, and 6 genotypes, respectively. Intra-cluster distances were highest in Cluster IV (222.79) and Cluster I (213.65), while Cluster III had the lowest (124.89), indicating greater genetic similarity. The largest inter-cluster distance was among Clusters II and IV (109.28), whereas the smallest was among Clusters II and III (20.67). A greater inter-cluster than intra-cluster distance suggests substantial genetic diversity among genotypes. Molecular-based explorations of genetic variability generated a matrix of similarity coefficients and grouped the accessions into two main clusters. Ten markers revealed polymorphism and produced a total of 35 clearly identifiable bands, with an average of 3.5 alleles per marker. In this study, the highest number of alleles (6) were amplified by DPL0009. Polymorphism Information Content values ranged from 0.076 to 0.731. Clustering based on molecular data classified the germplasm into three groups and measuring genetic distance through Euclidean distance while structure analysis revealed three gene-exchanging populations, representing a limited genetic basis in breeding programs. DNA clustering of upland cotton germplasm revealed genetic relationships independent of geographical origin, indicating its diversity and potential for use in hybridization schemes to develop superior F1 transgressive segregates or hybrids in subsequent generations.

利用微卫星分析棉的遗传多样性及系统发育关系。
由于遗传变异有限,提高棉花产量和纤维品质具有挑战性,因此需要有效利用种质资源。为此,利用10个形态生理性状和10个SSR标记对50个棉花基因型的遗传变异性进行了研究。形态生理数据采用主成分分析和马氏广义距离(D2)分析。原始资料中生物量相关变量累积变率的53.83%由两个主成分组成。聚类分析(D2)发现4个不同的聚类:聚类I包括20个基因型,聚类II、III和IV分别有6、18和6个基因型。聚类IV(222.79)和聚类I(213.65)的群内距离最大,聚类III的群内距离最小(124.89),表明遗传相似性较高。聚类ⅱ和聚类ⅳ之间的簇间距离最大(109.28),聚类ⅱ和聚类ⅲ之间的簇间距离最小(20.67)。簇间距离大于簇内距离,表明基因型之间存在大量遗传多样性。基于分子的遗传变异探索产生了相似系数矩阵,并将加入分为两个主要簇。10个标记显示多态性,共产生35个可识别的条带,平均每个标记有3.5个等位基因。在本研究中,DPL0009扩增的等位基因数量最多(6个)。多态性信息含量值范围为0.076 ~ 0.731。基于分子数据的聚类将种质资源分为3个类群,并通过欧几里得距离测量遗传距离,而结构分析显示三个基因交换群体,在育种计划中代表有限的遗传基础。陆地棉种质的DNA聚类揭示了与地理来源无关的遗传关系,表明其多样性和在杂交方案中利用的潜力,可以在后代中培育出优秀的F1越界分离或杂种。
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来源期刊
BMC Plant Biology
BMC Plant Biology 生物-植物科学
CiteScore
8.40
自引率
3.80%
发文量
539
审稿时长
3.8 months
期刊介绍: BMC Plant Biology is an open access, peer-reviewed journal that considers articles on all aspects of plant biology, including molecular, cellular, tissue, organ and whole organism research.
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