Infraspecific morphological and molecular variation of Linum nervosum (Linaceae) in Iran

IF 0.4 Q4 PLANT SCIENCES
Maryam Rashnou-Taei, M. Sheidai, S. Talebi, Z. Noormohammadi, F. Koohdar
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引用次数: 0

Abstract

Linum nervosum is among species that can hybridize with L. usitatissimum and produce fertile offsprings. Genetic diversity analysis of this wild relative of flax is important from conservation and breeding points of view. In the present study, 55 randomly selected plants of six different populations of L. nervosum varieties, including var. nervosum and var. bungei, were studied for morphological and genetic variability as well as population structure. Analysis of variance (ANOVA) did not show significant morphological difference between populations. PCA as well as PCA biplot confirmed that some morphological traits have taxonomic value. UPGMA clustering separated the populations of varieties in two distinct clusters, indicating degrees of morphological differentiation between them. Furthermore, UPGMA confirmed the variability in morphological characters within populations. Neighbor Joining tree and Neighbor-Net analysis of ISSR data revealed inter- and intrapopulation genetic variability. STRUCTURE plot revealed allelic difference of these varieties and some degree of intervarietal gene flow. K-means clustering showed the fragmentation of populations in support of AMOVA test, which revealed significant genetic difference among them. In general, obtained results confirmed the alternation of taxonomic level of L. bungei to the variety of L. nervosum.
伊朗神经Linum(Linaceae)的亚特异性形态和分子变异
神经林是可以与L。 产下可育的后代。从保护和育种的角度来看,对亚麻野生亲缘关系的遗传多样性分析具有重要意义。在本研究中,从六个不同群体的神经乳杆菌品种中随机选择了55株植物,其中包括变种。 神经根和变种。 对bungi的形态和遗传变异以及种群结构进行了研究。方差分析(ANOVA)没有显示种群之间的显著形态差异。主成分分析和主成分分析双谱图证实了某些形态性状具有分类学价值。UPGMA聚类将品种群体分为两个不同的聚类,表明它们之间的形态分化程度。此外,UPGMA证实了种群内形态特征的变异性。ISSR数据的邻居连接树和邻居网分析揭示了群体间和群体内的遗传变异。结构图揭示了这些品种的等位基因差异和一定程度的品种间基因流动。K-means聚类显示了支持AMOVA检验的种群的破碎化,揭示了它们之间的显著遗传差异。总的来说,所获得的结果证实了L。 对L。 神经系统。
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来源期刊
Modern Phytomorphology
Modern Phytomorphology PLANT SCIENCES-
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33.30%
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