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美国农业部水稻微型核心种质资源遗传分化与多样性的基因型和表型特征分析

Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection.

作者信息

Li Xiaobai, Yan Wengui, Agrama Hesham, Hu Biaolin, Jia Limeng, Jia Melissa, Jackson Aaron, Moldenhauer Karen, McClung Anna, Wu Dianxing

机构信息

College of Life Sciences, Zhejiang University, Hangzhou, China.

出版信息

Genetica. 2010 Dec;138(11-12):1221-30. doi: 10.1007/s10709-010-9521-5. Epub 2010 Nov 16.

DOI:10.1007/s10709-010-9521-5
PMID:21080033
Abstract

A rice mini-core collection consisting of 217 accessions has been developed to represent the USDA core and whole collections that include 1,794 and 18,709 accessions, respectively. To improve the efficiency of mining valuable genes and broadening the genetic diversity in breeding, genetic structure and diversity were analyzed using both genotypic (128 molecular markers) and phenotypic (14 numerical traits) data. This mini-core had 13.5 alleles per locus, which is the most among the reported germplasm collections of rice. Similarly, polymorphic information content (PIC) value was 0.71 in the mini-core which is the highest with one exception. The high genetic diversity in the mini-core suggests there is a good possibility of mining genes of interest and selecting parents which will improve food production and quality. A model-based clustering analysis resulted in lowland rice including three groups, aus (39 accessions), indica (71) and their admixtures (5), upland rice including temperate japonica (32), tropical japonica (40), aromatic (6) and their admixtures (12) and wild rice (12) including glaberrima and four other species of Oryza. Group differentiation was analyzed using both genotypic distance Fst from 128 molecular markers and phenotypic (Mahalanobis) distance D(2) from 14 traits. Both dendrograms built by Fst and D(2) reached similar-differentiative relationship among these genetic groups, and the correlation coefficient showed high value 0.85 between Fst matrix and D(2) matrix. The information of genetic and phenotypic differentiation could be helpful for the association mapping of genes of interest. Analysis of genotypic and phenotypic diversity based on genetic structure would facilitate parent selection for broadening genetic base of modern rice cultivars via breeding effort.

摘要

已构建了一个由217份种质组成的水稻微型核心种质库,用以代表美国农业部核心种质库和完整种质库,其中核心种质库和完整种质库分别包含1794份和18709份种质。为提高挖掘有价值基因的效率并拓宽育种中的遗传多样性,利用基因型数据(128个分子标记)和表型数据(14个数量性状)对遗传结构和多样性进行了分析。该微型核心种质库每个位点有13.5个等位基因,这在已报道的水稻种质资源库中是最多的。同样,微型核心种质库的多态信息含量(PIC)值为0.71,在已报道的种质库中,该值除了在一个种质库中是最高的之外,在其他种质库中也是最高的。微型核心种质库中较高的遗传多样性表明,挖掘感兴趣的基因以及选择能够提高粮食产量和品质的亲本具有很大可能性。基于模型的聚类分析结果显示,低地稻包括三个组,即奥氏稻(39份种质)、籼稻(71份)及其杂交种(5份);高地稻包括温带粳稻(32份)、热带粳稻(40份)、香稻(6份)及其杂交种(12份);野生稻(12份)包括光稃稻和其他四种稻属物种。利用128个分子标记的基因型距离Fst和14个性状的表型(马氏)距离D(2)对群体分化进行了分析。由Fst和D(2)构建的两个聚类图在这些遗传群体之间达到了相似的分化关系,并且Fst矩阵和D(2)矩阵之间显示出较高的相关系数0.85。遗传和表型分化信息有助于对感兴趣的基因进行关联作图。基于遗传结构对基因型和表型多样性进行分析,将有助于通过育种工作选择亲本,以拓宽现代水稻品种的遗传基础。

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本文引用的文献

1
Isozymes and classification of Asian rice varieties.同工酶和亚洲稻品种分类。
Theor Appl Genet. 1987 May;74(1):21-30. doi: 10.1007/BF00290078.
2
Association mapping of stigma and spikelet characteristics in rice (Oryza sativa L.).水稻(Oryza sativa L.)柱头和小穗特征的关联分析
Mol Breed. 2009 Oct;24(3):277-292. doi: 10.1007/s11032-009-9290-y. Epub 2009 May 26.
3
Microsatellite marker-mediated analysis of the EMBRAPA Rice Core Collection genetic diversity.利用微卫星标记分析巴西农业研究公司水稻核心种质的遗传多样性。
台湾蝴蝶兰的遗传图谱和表型模式:一种使用改良遗传距离算法的两步法表型和基因型策略。
Front Plant Sci. 2024 Sep 11;15:1416886. doi: 10.3389/fpls.2024.1416886. eCollection 2024.
4
GWAS unravels acid phosphatase ACP2 as a photosynthesis regulator under phosphate starvation conditions through modulating serine metabolism in rice.GWAS 揭示了酸性磷酸酶 ACP2 在磷饥饿条件下通过调节水稻丝氨酸代谢来调控光合作用。
Plant Commun. 2024 Jul 8;5(7):100885. doi: 10.1016/j.xplc.2024.100885. Epub 2024 Mar 19.
5
Harnessing on Genetic Variability and Diversity of Rice ( L.) Genotypes Based on Quantitative and Qualitative Traits for Desirable Crossing Materials.基于数量和质量性状的水稻(L.)基因型遗传变异性和多样性的利用,以获得理想的杂交材料。
Genes (Basel). 2022 Dec 21;14(1):10. doi: 10.3390/genes14010010.
6
Core Collections: Is There Any Value for Cotton Breeding?核心种质库:对棉花育种有价值吗?
Front Plant Sci. 2022 Apr 28;13:895155. doi: 10.3389/fpls.2022.895155. eCollection 2022.
7
Genetic Dissection of Grain Yield Component Traits Under High Nighttime Temperature Stress in a Rice Diversity Panel.水稻多样性群体中夜间高温胁迫下产量构成性状的遗传剖析
Front Plant Sci. 2021 Sep 28;12:712167. doi: 10.3389/fpls.2021.712167. eCollection 2021.
8
Natural variation in the fast phase of chlorophyll a fluorescence induction curve (OJIP) in a global rice minicore panel.全球水稻微型核心种质库中叶绿素a荧光诱导曲线(OJIP)快速相的自然变异。
Photosynth Res. 2021 Dec;150(1-3):137-158. doi: 10.1007/s11120-020-00794-z. Epub 2020 Nov 7.
9
Genome-wide association studies of ionomic and agronomic traits in USDA mini core collection of rice and comparative analyses of different mapping methods.全基因组关联研究美国农业部水稻迷你核心种质资源的离子组学和农艺性状及不同作图方法的比较分析。
BMC Plant Biol. 2020 Sep 24;20(1):441. doi: 10.1186/s12870-020-02603-0.
10
Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice.可见/近红外高光谱成像可区分水稻中的亚种群、生产环境和物理化学颗粒特性。
Sci Rep. 2020 Jun 9;10(1):9284. doi: 10.1038/s41598-020-65999-7.
Genetica. 2009 Dec;137(3):293-304. doi: 10.1007/s10709-009-9380-0. Epub 2009 Jul 9.
4
Nonmetric multidimensional scaling corrects for population structure in association mapping with different sample types.非度量多维标度法可校正不同样本类型关联映射中群体结构的影响。
Genetics. 2009 Jul;182(3):875-88. doi: 10.1534/genetics.108.098863. Epub 2009 May 4.
5
Population structure, genetic variation and morphological diversity in indigenous sheep of Ethiopia.埃塞俄比亚本土绵羊的种群结构、遗传变异和形态多样性
Anim Genet. 2007 Dec;38(6):621-8. doi: 10.1111/j.1365-2052.2007.01659.x. Epub 2007 Nov 20.
6
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.MEGA4:分子进化遗传学分析(MEGA)软件版本4.0。
Mol Biol Evol. 2007 Aug;24(8):1596-9. doi: 10.1093/molbev/msm092. Epub 2007 May 7.
7
Genetic diversity analysis of traditional and improved Indonesian rice (Oryza sativa L.) germplasm using microsatellite markers.利用微卫星标记对传统和改良的印度尼西亚水稻(Oryza sativa L.)种质进行遗传多样性分析。
Theor Appl Genet. 2007 Feb;114(3):559-68. doi: 10.1007/s00122-006-0457-1. Epub 2006 Nov 29.
8
Caught red-handed: Rc encodes a basic helix-loop-helix protein conditioning red pericarp in rice.当场抓获:Rc编码一种调控水稻红色果皮的碱性螺旋-环-螺旋蛋白。
Plant Cell. 2006 Feb;18(2):283-94. doi: 10.1105/tpc.105.038430. Epub 2006 Jan 6.
9
Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.使用STRUCTURE软件检测个体聚类数量:一项模拟研究
Mol Ecol. 2005 Jul;14(8):2611-20. doi: 10.1111/j.1365-294X.2005.02553.x.
10
PowerMarker: an integrated analysis environment for genetic marker analysis.PowerMarker:用于遗传标记分析的集成分析环境。
Bioinformatics. 2005 May 1;21(9):2128-9. doi: 10.1093/bioinformatics/bti282. Epub 2005 Feb 10.