基于微卫星标记的中国西部三种熊果树遗传多样性和种群结构分析

IF 3.5 Q3 Biochemistry, Genetics and Molecular Biology Journal of Genetic Engineering and Biotechnology Pub Date : 2024-05-03 DOI:10.1016/j.jgeb.2024.100379
Jinrong Zhao , Yanjiao Wang , Wenhuan Ding , Haiyan Xu
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引用次数: 0

摘要

旱莲草是中国西部,尤其是新疆地区的一种重要药用多年生草本植物。然而,阿胶资源的评估、利用和保护仍有待探索。在这项研究中,我们利用简单序列重复(ISSR)分子标记,评估了中国新疆 47 个地区(Ae = 16、Ag = 16、Ad = 15)中三个阿胶种群的遗传多样性。用 ISSR 标记筛选的 6 对引物共扩增出 48 个等位基因。平均有效等位基因数(Ne)为 1.5770。A. guttata 的种间遗传多态性百分比(Ag = 89.58 %)高于 A. euchroma 和 A. decumbens(Ae = Ad = 87.50 %)。在种内遗传多态性方面,A. euchroma 的博乐(BL)种群表现出最高的多态性条带百分比(PPB% = 58.33 %,Na = 1.313,Ne = 1.467,I = 0.0.366,H = 0.255),表明遗传多样性较高。相比之下,佗力(TL)种群的这些参数值最低(PPB% = 0.00 %,Na = 0.313,Ne = 1,000,I = 0.000,H = 0.000)。根据 UPGMA 聚类分析(图 8a)和主坐标分析(PCOA),将 Arnebiae Radix 种质分为两大类(I 和 II)。此外,A. decumbens 因其分化系数较高而被单独归为一类。AMOVA 和遗传分化系数的结果表明,Arnebiae Radix 的遗传变异主要来自种群内差异(78%)。此外,种群间的基因流指数(Nm)为 2.4128,进一步表明 Arnebiae Radix 的遗传多样性在种群内水平更高。生态环境的破坏导致旱莲草种质资源的遗传多样性不断减少和退化。本研究利用ISSR分子标记分析了旱莲草的遗传多样性和亲缘关系,从分子水平上揭示了旱莲草种质资源的遗传关系,为今后选育优良品种、评价旱莲草品质、保护和利用旱莲草资源等研究提供了科学依据。
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Microsatellite marker-based analysis of the genetic diversity and population structure of three Arnebiae Radix in western China

Arnebiae Radix is an important medicinal and perennial herb found in Western China, particularly in the Xinjiang region. However, the assessment, utilization and conservation of Arnebiae Radix resources are still unexplored. In this study, we evaluated the genetic diversity of three Arnebiae Radix populations across 47 regions (Ae = 16, Ag = 16, Ad = 15) in Xinjiang, China, using inter-simple sequence repeat (ISSR) molecular markers. In total, 48 alleles were amplified by six pairs of primers screened with ISSR markers. The average number of effective alleles (Ne) was 1.5770. The percentage of interspecific genetic polymorphisms in A. guttata (Ag = 89.58 %) was greater than that in A. euchroma. and A. decumbens (Ae = Ad = 87.50 %). Intraspecific genetic polymorphisms, Bo Le (BL) population of A. euchroma exhibited the highest percentage of polymorphic bands (PPB% = 58.33 %, Na = 1.313, Ne = 1.467, I = 0.0.366, H = 0.255), which indicated high genetic diversity. In contrast, the Tuo Li (TL) population of A. guttata had the lowest values for these parameters (PPB% = 0.00 %, Na = 0.313, Ne = 1,000, I = 0.000, H = 0.000). The Arnebiae Radix germplasms were classified into two major groups (I and II) based on UPGMA cluster analysis (Fig. 8a) and principal coordinate analysis (PCOA). In addition, A. decumbens is placed in a separate category due to its high differentiation coefficient. The AMOVA and genetic differentiation coefficient results indicated that the genetic variation in Arnebiae Radix was predominantly due to intrapopulation differences (78 %). Additionally, the gene flow index (Nm) between populations was 2.4128, which further indicated that the genetic diversity of Arnebiae Radix was greater at the intrapopulation level. The destruction of the ecological environment leads to the continuous reduction and degradation of the genetic diversity of Arnebiae Radix germplasm resources. In this study, we used ISSR molecular markers to analyze the genetic diversity and relatedness of Arnebiae Radix, which revealed the genetic relationship of Arnebiae Radix germplasm resources at the molecular level and provided a scientific basis for future research on selecting and breeding good varieties, evaluating the quality of Arnebiae Radix, and conserving and utilizing its resources.

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来源期刊
Journal of Genetic Engineering and Biotechnology
Journal of Genetic Engineering and Biotechnology Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
5.70
自引率
5.70%
发文量
159
审稿时长
16 weeks
期刊介绍: Journal of genetic engineering and biotechnology is devoted to rapid publication of full-length research papers that leads to significant contribution in advancing knowledge in genetic engineering and biotechnology and provide novel perspectives in this research area. JGEB includes all major themes related to genetic engineering and recombinant DNA. The area of interest of JGEB includes but not restricted to: •Plant genetics •Animal genetics •Bacterial enzymes •Agricultural Biotechnology, •Biochemistry, •Biophysics, •Bioinformatics, •Environmental Biotechnology, •Industrial Biotechnology, •Microbial biotechnology, •Medical Biotechnology, •Bioenergy, Biosafety, •Biosecurity, •Bioethics, •GMOS, •Genomic, •Proteomic JGEB accepts
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