斯里兰卡传统水稻(Oryza sativa)核心品种表型和遗传多样性的开发

IF 0.7 Q4 BIOLOGY
S. Weerakoon, S. Somaratne
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引用次数: 3

摘要

摘要苏玛拉特尼。2021。斯里兰卡传统水稻(Oryza sativa)核心品种表型和遗传多样性的开发。生物科学学报(13):61-67。斯里兰卡植物遗传资源中心基因库保存了2000多个传统水稻品种。从古代到上世纪中叶在斯里兰卡种植的水稻品种被称为传统水稻。这些品种表现出对生物和非生物胁迫的适应性,是斯里兰卡生物多样性的重要组成部分。深入了解传统水稻品种的多样性,对于有效利用水稻遗传资源和鉴定具有遗传价值的潜在亲本,对未来作物改良具有重要意义。研究的目的是对100个传统水稻品种进行表型和分子鉴定,并确定表型和遗传多样性的核心集合。水稻品种采用RCBD栽培,4个重复,每个重复5株。观察/收集了32个农业形态性状。基因组DNA是从20天的幼苗中提取的。三十吗?用3对微卫星(Simple Sequence Repeat-SSR)引物检测遗传变异,PCR产物进行毛细管电泳片段分析。采用描述统计和基本推理统计方法对水稻品种间农业形态性状的变异进行了分析。聚类分析和多维尺度分析共得到07个类群,利用分类和回归分析提取诊断性农业形态特征。水稻品种类群以外稃颜色、成熟时芒色、苗高和旗叶角为特征。传统品种在农业形态特征上表现为遥远的集群。分子分析结果显示,在100个传统水稻品种中,33个位点均存在多态性(66.7 ~ 96.9%),共鉴定出387个等位基因,平均每个品种有11.72个等位基因。所有的品种在基因上被划分为15个很好地分开的群体。基于Jaccard相似度的UPGMA分析将品种划分为05个主要聚类。遗传多样性信息对斯里兰卡水稻种质资源的有效利用以及对传统水稻品种就地和非就地种质资源的管理具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a core collection from Sri Lankan traditional rice (Oryza sativa) varieties for phenotypic and genetic diversity
Abstract. Weerakoon SR, Somaratne S. 2021. Development of a core collection from Sri Lankan traditional rice (Oryza sativa) varieties for phenotypic and genetic diversity. Nusantara Bioscience 13: 61-67. A collection of over 2000 traditional rice varieties are conserved at Gene Bank, Plant Genetics Resource Center, Sri Lanka. Oryza sativa varieties grown in Sri Lanka from ancient times to the middle of the last century are known as traditional rice. These varieties show adaptability to biotic and abiotic stresses and, an important component of biodiversity of Sri Lanka. A detailed understanding of the diversity of traditional rice varieties is essential for effective utilization of rice genetic resources and identification of potential parents possessing valuable genetic traits for future crop improvement. Study objectives were phenotypic and molecular characterization of one-hundred traditional rice varieties and to identify a core collection for phenotypic and genetic diversity. Rice varieties were grown in a plant house following RCBD with 4 replicates and 5 plants per replicate. Thirty-two agro-morphological characters were observed/collected. Genomic DNA was extracted from 20-days-old seedlings. Thirty?three microsatellite (Simple Sequence Repeat-SSR) primer pairs were used to assay genetic variation and PCR products were subjected to fragment analysis by capillary electrophoresis. Descriptive statistics and basic inferential statistical analyses were performed to access variation of agro-morphological characters among rice varieties. Cluster analysis and Multidimensional scaling produced 07 groups which were further analyzed using Classification and Regression Analysis to extract the diagnostic agro-morphological features. Groups of rice varieties were characterized by lemma palea color, awn color at maturity, seedling height, and flag-leaf angle. Traditional varieties represent distant clusters on agro-morphological features. Molecular analyses revealed all 33 loci displayed polymorphism (66.7-96.9%) among 100 traditional rice varieties with a total of 387 alleles identified with an average of 11.72 alleles per variety. All varieties were genetically structured into fifteen well-separated groups. UPGMA analysis based on Jaccard's similarity separated varieties into 05 major clusters. Genetic diversity information is useful in the efficient use of Sri Lankan rice germplasm and managing in situ and ex situ germplasm collections in conserving traditional rice varieties.
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