SSR标记揭示的云南地方稻品种遗传多样性及其保育意义

为了探索水稻(Oryza　sativa　L.)地方品种的遗传多样性及其有效保育方法,对采自云南省17个村寨的82个水稻地方品种和3个国际常用的典型籼稻和粳稻品种进行了微卫星(SSR)分子标记的分析。利用19对SSR引物在85个水稻品种中共扩增出了83个基因型,其分子量变异在100～500　bp之间。基于各品种SSR基因型遗传相似系数聚类分析而获得的UPGMA树状图表明各水稻品种之间存在较大的遗传多样性,其相似系数变异在0.15～0.90之间。但这些地方品种的遗传多样性并非呈均等的地理分布。这85个水稻品种在相似系数为0.52之处分为二组,其中一组包括几乎所有的籼稻品种,而另一组包括全部的粳稻品种,表明SSR标记能很好揭示水稻籼-粳分化。同时,有些来自不同采集地的同名品种表现出一定的遗传差异,说明同名异物的现象存在。云南水稻地方品种具有丰富的遗传多样性,对其有效保育十分重要和迫切,　但只有根据遗传多样性的水平和分布特点,采用正确的保育对策和取样方法才能确保对云南水稻地方品种的有效保育。结果进一步表明,选用适当的微卫星引物,可以为准确鉴定籼稻和粳稻品种及研究其进化规律提供有效的分子标记方法,并有利于有目标的水稻遗传资源保育和育种创新。     

水稻新品种测试的标准品种DNA指纹图谱多样性分析

以植物新品种特异性、一致性和稳定性(DUS)测试指南中选定的49个水稻标准品种为材料,采用农业行业标准(NY/1433-2077)中推荐的24对水稻SSR引物进行DNA指纹图谱构建和遗传多样性分析。结果表明,24对SSR引物在19个籼稻和30个粳稻品种中分别检测到141和156个等位变异,平均每对引物可以检测到5.88(籼稻)和6.50(粳稻)个等位变异;籼、粳稻类群中24对SSR引物的平均Shannon's多样性指数分别为1.5141(1.0460~1.9959)和1.4389(0.4677~2.4503);经聚类分析后,籼、粳稻群体内品种间的相似系数分别介于0.45~0.81和0.36~0.76,取相似系数0.72为阈值,可将19个籼稻和30个粳稻品种分别分为16类和28类。由此可见,本研究的49个品种的遗传多样性丰富。结合形态性状和基因型聚类分析结果,可将现有的49个水稻DUS测试标准品种减少到46个。     

云南栽培稻种SSR遗传多样性比较

采用64个SSR标记对96份云南水稻（Oryza sativa）地方品种和选育品种的遗传多样性进行比较分析。结果发现64个标记都具有多态性,共检测到741个等位基因,每个多态性位点检测到的等位基因数为2—29个,平均11．57个：Nei基因多样性指数（He）范围在0．345（RM321）-0．932（RM1）之间,平均为0．56。水稻品种的遗传多样性并非按地理位置均匀分布,而是在相似系数为0．17的水平上明显分为2个不同类群,即籼稻类群和粳稻类群,且籼粳亚种间的SSR多样性差异不明显,籼稻平均等位基因数（Ap）和Nei基因多样性指数（Ap=10．6,He=0．46）与粳稻品种（Ap=10．7,He=0．48）十分接近,可能与这些品种间存在一定频率的基因交流有关。糯稻和非糯稻在籼稻群和粳稻群中都有表现,没有特别的分布规律。云南栽培稻选育品种与地方稻亲缘关系较近,其遗传基础可能来源于云南水稻地方品种。本研究结果表明,SSR标记能较好地区分云南栽培稻品种,且云南水稻地方品种遗传多样性丰富,存在大量的优质性状可供育种实践选择。     

云南栽培稻种SSR 遗传多样性比较

采用64个SSR标记对96份云南水稻(Oryz a sativa)地方品种和选育品种的遗传多样性进行比较分析。结果发现64个标记都具有多态性, 共检测到741个等位基因, 每个多态性位点检测到的等位基因数为2-29个, 平均11.57个; Nei基因多样性指数(He)范围在0.345(RM321)-0.932(RM1)之间, 平均为0.56。水稻品种的遗传多样性并非按地理位置均匀分布, 而是在相 似系数为0.17的水平上明显分为2个不同类群, 即籼稻类群和粳稻类群, 且籼粳亚种间的SSR多样性差异不明显, 籼稻平均等位基因数(Ap)和Nei基因多样性指数(Ap=10.6, He=0.46)与粳稻品种(Ap=10.7, He=0.48)十分接近, 可能与这些品种间存在一定频率的基因交流有关。糯稻和非糯稻在籼稻群和粳稻群中都有表现, 没有特别的分布规律。云南栽培稻选育品种与地方稻亲缘关系较近, 其遗传基础可能来源于云南水稻地方品种。本研究结果表明, SSR标记能较好地区分云南栽培稻品种, 且云南水稻地方品种遗传多样性丰富, 存在大量的优质性状可供育种实践选择。     

贵州地方水稻种质资源籼-粳遗传分化的InDel分子标记研究

本研究利用36对InDel分子标记引物对贵州地方水稻种质的籼-粳遗传分化和亲缘关系进行分析,结果表明,82份贵州地方栽培稻中49份为粳稻,33份为籼稻,贵州地方栽培稻“禾”品种主要属于粳稻,而“谷”品种主要为籼稻。基于Nei氏遗传距离的亲缘关系分析表明在粳稻群体和籼稻群体中均存在与野生稻亲缘关系近的品种,其中的粳稻品种与野生稻的遗传关系比之籼稻品种近。而基于MCMC算法的遗传结构分析揭示了贵州地方籼稻品种中存在较为复杂的遗传结构。分子变异分析显示,粳稻和籼稻品种的遗传变异主要来自亚种内,遗传多样性分析表明其亚种内籼稻品种的遗传多样性略高于粳稻品种。研究结果揭示了贵州省黔东南地区栽培稻种质资源的籼-粳分化程度、遗传关系及其遗传多样性。     

黑龙江省近年审定水稻品种基于SSR标记的遗传多样性分析

为评估黑龙江省水稻品种的遗传基础,利用24个用于水稻DNA指纹图谱构建的SSR标记以及其他均匀分布于水稻12条染色体的38个SSR标记,对黑龙江省近年审定的73个水稻常规稻品种进行遗传多样性分析。结果表明,在62个SSR标记位点中,共检测到142个等位基因,平均每个标记2.3个,多态性比率平均为71.0%,多态性频率变幅为0~0.775,平均值为0.246。供试品种间两两遗传相似系数的平均值为0.759,变幅为0.622~0.966,且96.4%的品种间遗传相似系数在0.66~0.86之间,表明供试的73个品种亲缘关系较近。通过SSR标记基因型聚类分析将这些品种划分为6个类群,与系谱分析趋势一致,类群间的差异主要表现在生育期和米质方面。综上所述,黑龙江省近年审定的水稻品种遗传基础狭窄,在育种中需要导入新的种质资源,加强种质资源创新,以期丰富水稻品种的遗传多样性,进一步提高水稻产量和抗性。     

宁夏89份粳稻种质遗传多样性的SSR分析

选用分布于水稻12条染色体上的47对引物对宁夏89份粳稻种质材料进行SSR分析,以探讨宁夏粳稻品种的遗传多样性水平.结果表明,(1)47个位点上共检测到204个具有多态性的等位片段,每对引物检测出2～9个多态性片段,平均为4.16个;(2)聚类分析显示,89份材料的相似系数为0.63～0.91,平均为0.79.在相似系数0.718处聚为8个类群.研究表明,宁夏粳稻种质之间的相似性较高,遗传差异较小,遗传背景比较单一.     

陕西省有色稻资源的SSR多态性分析

从水稻12条染色体上筛选出22对有效引物,对陕西省17个有色稻品种的遗传多样性进行分析,共检测到128个等位基因,平均每个标记检测到5.8个等位基因,每个SSR位点的遗传多态性信息含量在0.49-0.89之间,平均值为0.73。聚类分析表明,陕西省17个有色稻品种的遗传相似系数集中在0.24-0.88之间。     

30个粳稻品种SSR标记遗传多样性分析

选用分布于水稻12条染色体上的64对SSR引物,对江苏省育成以及日本引进的粳稻品种共30份材料进行遗传多样性分析。结果表明,有50对SSR引物在30个品种间表现为多态性。共检测到140个等位基因,每对引物的等位基因数变幅为2～5个,平均为2．8个。有效等位基因为94．336个,平均为1．887。每个SSR位点的多态性信息量（PIC）变化范围为0．064～0．752,平均为0．410。30个品种间的遗传相似系数变幅为0．386～0．956之间,平均值为0．719,且81．4％的供试品种其遗传相似系数在0．600～0．800之间,亲缘关系较近;以遗传相似系数为原始数据,按UPGMA方法将30个品种划分为3大类群,结合系谱分析结果表明,江苏省育成的水稻品种遗传多样性不够丰富,多数品种间的亲缘关系较近,欲进一步提高江苏省水稻产量还需拓宽亲本选择范围,扩大遗传背景。     

云南地方稻种的遗传变异和籼粳分化

用７ 个单拷贝探针对８７ 份云南稻地方品种进行了ＲＦＬＰ分析．结果表明∶云南稻（Ｏｒｙｚａｓａｔｉｖａ Ｌ．）地方品种中,籼稻（ｉｎｄｉｃａ）和粳稻（ｊａｐｏｎｉｃａ）都表现出较高水平的变异,粳稻的等位基因数目和遗传多样性水平都高于籼稻,表明粳稻的遗传变异比籼稻丰富． 云南稻地方品种中的籼稻和粳稻间表现出明显的遗传分化,且不同染色体区段分化程度不同． 研究结果支持栽培稻的二系起源学说     

Differentiation of Indica-Japonica rice revealed by insertion/deletion (InDel) fragments obtained from the comparative genomic study of DNA sequences between 93-11 (Indica) and Nipponbare (Japonica)

DNA polymorphisms from nucleotide insertion/deletions (InDels) in genomic sequences are the basis for developing InDel molecular markers.To validate the InDel primer pairs on the basis of the comparative genomic study on DNA sequences between an Indica rice 93-11 and a Japonica rice Nipponbare for identifying Indica and Japonica rice varieties and studying wild Oryza species,we studied 49 Indica,43 Japonica,and 24 wild rice accessions collected from ten Asian countries using 45 InDel primer pairs.Results indicated that of the 45 InDel primer pairs,41 can accurately identify Indica and Japonica rice varieties with a reliability of over 80%.The scatter plotting data of the principal component analysis (PCA) indicated that:(i) the InDel primer pairs can easily distinguish Indica from Japonica rice varieties,in addition to revealing their genetic differentiation;(ii) the AA-genome wild rice species showed a relatively close genetic relationship with the Indica rice varieties;and (iii)the non-AA genome wild rice species did not show evident differentiation into the Indica and Japonica types.It is concluded from the study that most of the InDel primer pairs obtained from DNA sequences of 93-11 and Nipponbare can be used for identifying lndica and Japonica rice varieties,and for studying genetic relationships of wild rice species,particularly in terms of the Indica-Japonica differentiation.     

Assessment of genetic diversity in broomcorn millet （Panicum miliaceum L.） using SSR markers

The genetic diversity of 118 accessions of broomcom millet （Panicum miliaceum L.）, collected from various ecological areas, was analyzed. Using 46 SSR （Simple Sequence Repeat） polymorphic markers from rice, wheat, oat and barley, a total of 226 alleles were found, which exhibited moderate level of diversity. The number of alleles per primer ranged from two to nine, with an average of 4.91. The range of polymorphism information content （PIC） was 0.2844）.980 （average, 0.793）. The expected heterozygosity （He） varied from 0.346 to 0.989, with an average of 0.834. The average coefficient of the genetic similarity of SSR markers among the 118 accessions was 0.609, and it ranged from 0.461 to 0.851. The UPGMA （Unweight Pair Group Method with Arithmetic Mean） clustering analysis at the genetic similarity value of 0.609 grouped the 118 accessions into five groups. Mantel test meant that geographical origin and genetic distance presented positive correlation. The clustering results were consistent with known information on ecological growing areas. The genetic similarity coefficient of the accessions in the Loess Plateau ecotype was significantly lower than those in the other ecotypes. It indicates that the highest level of genetic diversity occurred in the Loess Plateau, which is probably the original site of Panicum miliaceum.     

Genetic Diversity of Global Aromatic Rice Varieties

Genetic diversity of 434 rice accessions collected from 16 countries, including 345 fragrance rice varieties and 89 non fragrance rice varieties, have been analyzed. A total of 573 alleles were detected by using 77 simple sequence repeats (SSR) primer pairs covering all rice 12 chromosomes. The value of allelic polymorphism information content (PIC) ranged from 0090 to 0845, with an average of 0516 per locus; Gene diversity (GD) varied from 0091 to 0859, with an average of 0573; The mean value of major allele frequencies (MAF) was 0540, covering from 0251 to 0953. In addition, 434 rice accessions are divided into three sub populations by cluster and population structure analysis, and FST between sub populations showed a mean of -0116, ranging from -0623 to 0494; The score of genetic distance calculated by Nei′s method appeared from 0207 to 0355. Major allele frequencies within each sub population distributed from 0408 to 0746, and gene diversity level from 0354 to 0699, while PIC from 0320 to 0658. Sequencing 6 mitochondrion genes in 18 rice varieties exhibited no different in 5 genes, whereas Mit4 contains a 3 SNPs in the gene body, which acts as an important marker to understanding the relationship between Indica/Japonica differentiation and the evolution of fragrant gene. Finally, genetic diversity and mitochondrion gene sequencing would help to know about the origin of fragrant resource and benefit rice breeding.     

宁夏60份粳稻种质资源遗传多样性分析

试验用SSR分子标记对60份宁夏粳稻种质资源进行遗传多样性分析。103对SSR引物表现多态性的有58对,共扩增出212条多态性条带,等位变异范围为2～9,平均每对引物3.7个;多态性信息含量(PIC)变幅为0.032～0.788,平均为0.403;高多态性位点主要发生在3号、6号和11号染色体上,而无多态性或低多态性位点主要发生在1号和10号染色体上;成对供试材料的遗传相似系数GS值变幅为0.642～0.958,平均为0.790,单个供试材料的平均GS值变幅为0.710～0.816,平均为0.781,亲缘关系较近;UPGMA聚类表明,在遗传相似系数约0.785处,供试材料可被分为11类,大部分材料被聚在一类中。     

Abundant Within-varietal Genetic Diversity in Rice Germplasm from Yunnan Province of China Revealed by SSR Fingerprints

In order to estimate genetic diversity of rice (Oryza sativa L.) germplasm in Yunnan Province of China, 60 varieties from different regions were analyzed by microsatellite (SSR) fingerprints. Nine selected SSR primer pairs amplified a total of 55 alleles from these varieties, and high genetic diversity (0.706) was found, although it was not evenly distributed across the regions. Marked genetic variation was detected within the traditional varieties. A UPGMA dendrogram based on SSR polymorphism indicated a great variation among the rice varieties, with coefficients ranging between 0.229 and 1.000. The formation of the rice diversity pattern in Yunnan is associated with natural conditions and especially with diverse cultural demands and farming styles. Strategic conservation of rice germplasm in Yunnan is important, and this could be implemented by collecting varieties across geographic regions with sufficient individuals within the same varieties. Effective rice conservation should also consider cultural aspects during collection.     

应用SSR标记分析中国糯大麦种质的遗传多样性

利用SSR标记对来自中国不同省市的76份糯大麦种质的遗传多样性进行分析,并以遗传相似系数为基础进行聚类分析。SSR标记分析表明,50对大麦SSR引物在76份糯大麦中共扩增出203个等位基因,属于高度多态性位点范畴。当遗传相似系数为0.70时可将76个糯大麦品种划分为5个类群,在一定程度上反映了与材料的地理来源和皮裸性。糯大麦资源平均Shan-non多样性指数显示,来自云南和西藏的糯大麦品种遗传多样性略高。SSR标记分析表明,中国糯大麦具有丰富的遗传多样性,对揭示糯大麦的起源与传播以及对资源的有效利用具有现实意义。