我国甘蔗亲本遗传多样性的AFLP标记分析

采用15对多态性较好的AFLP引物对我国自育的78个甘蔗亲本材料遗传多样性进行分析,结果表明,每对引物的多态性位点平均为65.67,多态性位点率为8255%.78个甘蔗亲本的遗传相似系数在0.4535～0.8927之间,平均为0.6821 .相同组合后代的遗传相似系数较高,平均为0.765 6.以遗传相似系数阈值约为0.700划分,聚类分析把78个亲本分为7大类,系谱记录中亲缘关系密切的亲本品系,大多数都能归为同一类.遗传多样性指数分析显示,不同年代亲本多样性指数差异明显,20世纪80年代最高,为0.318 5,70年代最低,为0.264 5;不同省区的亲本遗传多样指数变化更显著,在0.195 2～0.299 9之间,广东最高,云南最低.     

粤糖系列甘蔗亲本表型性状遗传多样性分析

为了解粤糖系列甘蔗亲本遗传关系,提高粤糖系列甘蔗亲本的利用效率,本研究利用35个表型性状对106份粤糖系列甘蔗亲本和10份中国主栽甘蔗品种进行了遗传多样性、聚类分析等研究。结果表明,粤糖系列甘蔗亲本平均多样性信息指数、基因多样性指数分别为0.782±0.082、0.438±0.039,遗传多样性水平较高。叶片宽度和曝光后茎色多样性非常丰富。遗传相似性系数变幅在0.388~0.829,基于遗传相似性系数的聚类分析将参试材料分成2个大类群6个亚类群及5个亚亚类群。20世纪80年代粤糖亲本多样性指数最高,基于遗传距离的聚类分析将7个群体分为3个类群(Ⅰ、Ⅱ、Ⅲ),中国主栽甘蔗品种单独成为一个类群。以上结果为甘蔗遗传育种亲本的选择、杂交组合配制及核心种质构建提供帮助。     

河北省冬小麦品种SSR标记遗传多样性分析

利用79对多态性较高的SSR引物,对河北省1997-2007年间审定的冬小麦品种及国家小麦区试抗旱对照品种晋麦47和洛旱2号,共计87个冬小麦品种进行遗传多样性分析。79对SSR引物共检测出175个等位变异位点,每对引物可产生1~6条等位变异位点,平均2.215条。标记位点多态性信息含量(PIC)变幅为0.824~0.998,平均为0.941;有效等位基因数(Ne)变幅为1.644~20.333,平均4.708;香农指数(H’)变幅为0.148~1.102,平均为0.544,说明河北省冬小麦品种SSR遗传多样性较低。品种间遗传相似系数(GS)变幅为0.184~0.899,平均为0.418,其中河农826与石家庄8号间的遗传相似性最高,GS高达0.899,71-3与藁优9618间的遗传相似性最低,GS为0.184。不同育种单位培育的小麦品种平均遗传相似系数存在较大差异。UPGMA遗传相似性聚类表明,石家庄市小麦新品种新技术研究所培育的小麦品种与其他单位品种存在较大的遗传差异。     

利用SSR分子标记进行海岛棉遗传多样性研究

利用SSR分子标记,对20世纪50年代我国引入海岛棉以来培育的45个国内品种(系)及8个国外品种的遗传多样性进行研究.通过256对SSR引物的筛选,选择24对扩增效果好的引物对53个海岛棉种质资源进行遗传多样性的检测分析,共检测出106个等位位点,每对引物等位位点数在2～8之间,平均为4.4.其中多态性等位基因变异97个,占91.5%.位点多态性信息含量平均为0.688,最高为0.848,最低为0.245.利用NTSYSpc2.1软件,分别计算农艺经济性状的欧氏距离(Euclid)和分子标记数据的Jaccard系数矩阵,采用UPGMA法对所选材料进行聚类分析.结果表明,两个树状聚类图基本吻合,53个品种被分为两大类,与系谱来源一致.实验证明SSR分子标记在鉴别品种和品种遗传多样性研究方面具有重要作用.     

河北省大豆推广品种遗传多样性分析

利用主要农艺性状以及SSR和AFLP2种分子标记,对河北省41个大豆推广品种进行遗传多样性分析,以便为种质资源利用和创新提供依据。农艺性状聚类结果将41个材料划分为3个类群和2个特殊品种,聚类结果与材料系谱来源相差悬殊,不能反映材料间亲缘关系。SSR和AFLP数据聚类结果将41个材料划分为4个SAG（SSR and AFLP—basedgroups）分子类群。30对SSR引物共检测出135个等位变异,平均每个位点上有4．47个等位变异,SSR的遗传多样性指数（Simpson）分布范围为0．0928～0．7800,平均值为0、6442。10对AFLP引物共扩增出93个多态性标记,平均每对引物9．3个多态性标记。品种间的遗传相似系数（GS）变化范围为0．5877～0．9868,平均值变化范围为0．6732～0．7653,总体平均值为0.7237,遗传相似系数较高,说明材料间遗传变异较小。     

1980s-2010s华北夏谷区主栽谷子品种SSR遗传多样性分析

通过对20世纪80年代以来具有代表性的华北夏谷区审(鉴)定的20个主栽谷子品种进行SSR标记多态性分析,研究了华北地区育成谷子品种的遗传多样性。49对引物在20个谷子品种中扩增出具有多态性的条带,共检测出142个等位变异,平均每个位点检测出的等位变异数为2.96个。标记位点多态性信息含量(PIC)变幅为0.0904～0.6896,平均为0.4168。20份材料间的遗传距离变幅为0.0173～0.9000,聚类分析将其分成3个类群,其中谷丰1号自成一类,表明谷丰1号的遗传距离较其他品种大。不同年代谷子品种间遗传距离分析结果显示,各年代品种之间的平均遗传距离由大到小依次是1980s>1990s>2000s>2010s,表明随着年代的递进育成品种的遗传差异减小,亲缘关系增近。     

利用RAPD和ISSR分子标记分析地黄种质遗传多样性

用RAPD与ISSR技术对地黄的8个品种和2个脱毒品系进行了种质遗传多样性分析.分别从80条RAPD引物和44条ISSR引物中筛选出适合地黄种质分析的17条RAPD引物和10条ISSR引物用于RAPD和ISSR分析.17条RAPD引物共扩增出177条带, 多态性位点数为109; 多态性位点比率为61.58%;平均多样性指数(I)为0.3135;每个位点的有效等位基因数(Ne)是1.3641; 10条ISSR引物共扩增出110条带. 多态性位点数为79; 多态性位点比率为71.58%;平均多样性指数(I)为0.3577;每个位点的有效等位基因数(Ne)是1.4037. 基于扩增条带数据库建立了各自的Jaccard遗传相关系数矩阵,构建了相似的分子树状图,将10个供试材料分为2类:一类群含组培85.5、大田85.5、组培9302、大田9302、金状元和金白6个材料;另一类群含北京1号、大红袍、地黄9104和野生地黄4个材料.两种分子标记的分析结果呈极显著正相关(r＝0.649).结果表明,RAPD与ISSR标记适合于地黄种质遗传多样性分析,ISSR标记技术是一种多态性和重复性优于RAPD技术的实用技术.     

猕猴桃SCoT遗传多样性分析及指纹图谱的构建

利用SCoT标记对32个猕猴桃品种进行了遗传多样性分析。从47个SCoT引物中筛选了11个引物进行PCR扩增,共扩增出185个条带,其中多态性条带180个,多态性比率为97.30%。各引物Nei's基因多样性指数（H）平均为0.238 4,Shannon's信息指数（I）平均为0.377 8。利用UPGMA构建32份猕猴桃种质资源的聚类树状图。在遗传相似系数为0.78处可将32个猕猴桃品种分为5组,聚类结果与形态学分类基本一致。利用4条引物扩增的16个多态性位点构建了32个猕猴桃品种的DNA指纹图谱,可以将32个猕猴桃品种区分并准确鉴定。     

黄淮麦区小麦品种(系)的ISSR位点遗传多样性分析

选用11个ISSR引物,对黄淮麦区96个小麦推广品种（系）进行遗传多样性分析。共检测到96个多态性位点,每个引物多态性位点数平均为8．7个,变幅为3～23个;ISSR引物的多态性信息含量PIC变幅为0．601～0．941,平均0．791,表明ISSR具有较强的品种间区分能力,是研究小麦种质资源遗传多样性的有效分子标记技术之一。96个品种（系）间,Nei’s遗传相似系数变化范围为0．53～0．91,平均为0．60,品种间遗传相似性变幅较大,表明黄淮麦区不同小麦品种（系）间存在着不同程度的遗传多样性差异。根据品种间遗传相似系数聚类,96份材料被聚成8大类群,共14个亚类,类群与系谱和原产地无关。     

长江、黄河流域两棉区陆地棉品种的遗传多样性比较研究

从300个随机引物中筛选到带型清晰且重复性强的41个多态性引物,用于长江、黄河流域两棉区的91陆地棉品种的RAPD标记分析。分析采用Jaccard‘s相似系数,使用NTSYS－pcl.80数据分析软件,非加权组平均法（UPGMA）聚类。来自长江流域棉区的23个陆地棉品种产生了84个多态性位点,品种之间的平均相似系数为0．631。而来自黄河流域棉区的68个陆地棉品种产生了96个多态性位点,品种之间的平均相似系数为0．632.两棉区品种的相似系数矩阵比较及成对相似系数分布的比较均表明,长江流域和黄河流域棉区陆地棉品种的遗传多样性水平相当。共同的基础种质资源、相同的育种目标及相近的育种方法和策略可能是造成两大棉区品种遗传多样性水平相当的重要因素。     

甜瓜种质资源遗传多样性的SRAP分析

为研究甜瓜材料之间的亲缘关系及其分类, 更有效地利用种质资源, 为培育新品种提供依据, 文章采用 SRAP (Sequence-related amplified polymorphism)技术对61份甜瓜种质资源的遗传多样性进行研究。结果表明: 从42对引物组合中筛选出16对扩增条带清晰、多态性高的引物组合分析供试材料, 共检测出452个位点, 其中265个为多态性位点, 多态性比率达58.63％, 平均每对引物组合产生28.56个位点和16.56个多态性位点。61份材料间的相似系数为0.48～0.93, 平均为0.73。这些结果说明, 供试甜瓜材料具有较为丰富的遗传多样性。聚类分析结果表明, 61个甜瓜品种中首先可分为薄皮甜瓜与厚皮甜瓜两大类, 彼此亲缘关系最远。以遗传相似系数0.74为截值, 可把供试材料分为5个类群。在生态区域中, 新疆厚皮甜瓜的Nei’s基因多样性指数(0.2231)和Shannon’s信息指数(0.3422)最高。     

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。     

紫、红黄肉甘薯种质遗传多样性的ISSR分析

采用ISSR分子标记,分析了21份紫肉、28份红黄肉甘薯种质遗传多样性。结果表明：17对引物共扩增出154条谱带,其中多态性谱带138条,占89.6%,平均每个引物扩增出8.12条多态性谱带,表现出丰富的多态性。聚类分析和主成分分析将49份甘薯种质聚为4大类,类型间遗传差异较大,将红黄薯单独聚为1类,说明紫薯和红黄薯分别具有明显不同的来源和系统演化关系。种质间的遗传相似系数变幅为0.58~0.93,其中,0.61~0.70之间的种质占51.4%,0.71~0.80之间的占44.0%。而邻近地域育种单位或同一育种单位的品种亲缘关系较近。文章对如何在育种中利用这些优异种质进行了讨论。     

Genetic diversity analysis of Bt cotton genotypes in Pakistan using simple sequence repeat markers

The popularity of genetically modified insect resistant (Bt) cotton has promoted large scale monocultures, which is thought to worsen the problem of crop genetic homogeneity. Information on genetic diversity among Bt cotton varieties is lacking. We evaluated genetic divergence among 19 Bt cotton genotypes using simple sequence repeat (SSR) markers. Thirty-seven of 104 surveyed primers were found informative. Fifty-two primers selected on the basis of reported intra-hirsutum polymorphism in a cotton marker database showed a high degree of polymorphism, 56% compared to 13% for randomly selected primers. A total of 177 loci were amplified, with an average of 1.57 loci per primer, generating 38 markers. The amplicons ranged in size from 98 to 256 bp. The genetic similarities among the 19 genotypes ranged from 0.902 to 0.982, with an average of 0.947, revealing a lack of diversity. Similarities among genotypes from public sector organizations were higher than genotypes developed by private companies. Hybrids were found to be more distant compared to commercial cultivars and advanced breeding lines. Cluster analysis grouped the 19 Bt cotton genotypes into three major clusters and two independent entries. Cultivars IR-3701, Ali Akbar-802 and advanced breeding line VH-259 grouped in subcluster B2, with very narrow genetic distances despite dissimilar parentage. We found a very high level of similarity among Pakistani-bred Bt cotton varieties, which means that genetically diverse recurrent parents should be included to enhance genetic diversity. The intra-hirsutum polymorphic SSRs were found to be highly informative for molecular genetic diversity studies in these cotton varieties.     

瓜类枯萎病菌遗传多样性和亲缘关系的SRAP分析

尖孢镰刀菌可造成不同瓜类的枯萎病.为明确不同寄主、不同地区的瓜类枯萎病菌菌株间的遗传多样性及亲缘关系,采用相关序列扩增多态性(SRAP)分子标记技术,对来源于不同地区、不同寄主的95株尖孢镰刀菌的基因组DNA进行多态性扩增.以筛选出的19对引物共扩增出238条带,多态性比率为100%,平均每对引物扩增出12.5个位点和12.5个多态性位点;尖孢镰刀菌苦瓜专化型共扩增出166条带,其中145条为多态性条带,多态性比率为87.4%,平均每对引物扩增出8.7个位点和7.7个多态性位点,说明尖孢镰刀菌的遗传变异较为广泛.瓜类枯萎病菌株间的遗传相似系数范围为0.68～0.99,样品间的平均Nei遗传多样性指数和Shannon指数分别为0.2390和0.3718.在遗传相似系数为0.74时,可将供试的95株尖孢镰刀菌划分为苦瓜、黄瓜、西瓜、甜瓜4个专化群.在SRAP聚类树中,同一寄主的尖孢镰刀菌聚在一个分支上,其中尖孢镰刀菌苦瓜专化型菌株间的遗传相似系数范围为0.78～0.99,Nei遗传多样性指数为0.1811,平均Shannon指数为0.2750,表明尖孢镰刀菌苦瓜专化型的遗传变异较大,且菌株的聚群与地理来源存在相关性.     

Genetic diversity in Chinese modern wheat varieties revealed by microsatellite markers

Genetic diversity of 1680 modern varieties in Chinese candidate core collections was analyzed at 78 SSR loci by fluorescence detection system. A total of 1336 alleles were detected, of which 1253 alleles could be annotated into 71 loci. For these 71 loci, the alleles ranged from 4 to 44 with an average of 17.6, and the PIC values changed from 0.19 to 0.89 with an average of 0.69. (1) In the three genomes of wheat, the average genetic richness was B>A>D, and the genetic diversity indexes were B>D>A. (2) Among the seven homoeologous groups, the average genetic richness was 2=7>3>4>6>5>1, and the genetic diversity indexes were 7>3>2>4>6>5>1. As a whole, group 7 possessed the highest genetic diversity, while groups 1 and 5 were the lowest. (3) In the 21 wheat chromosomes, 7A, 3B and 2D possessed much higher genetic diversity, while 2A, 1B, 4D, 5D and 1D were the lowest. (4) The highest average genetic diversity index existed in varieties bred in the 1950s, and then it declined continually. However, the change tendency of genetic diversity among decades was not greatly sharp. This was further illustrated by changes of the average genetic distance between varieties. In the 1950s it was the largest (0.731). Since the 1960s, it has decreased gradually (0.711, 0.706, 0.696, 0.695). The genetic base of modern varieties is becoming narrower and narrower. This should be given enough attention by breeders and policy makers.     

Analysis of the genetic diversity of garlic (Allium sativum L.) by simple sequence repeat and inter simple sequence repeat analysis and agro-morphological traits

The genetic diversity of 39 garlic accessions was investigated using eight simple sequence repeat (SSR) primer combinations and 17 inter-simple sequence repeat (ISSR) primer combinations. A total of 109 polymorphic loci were detected among these accessions, with an average of 4.63 polymorphic loci per SSR primer combination and 4.29 polymorphic loci per ISSR primer combination. The mean effective number of alleles, the mean Nei's genetic diversity, and the mean Shannon's information index for SSR were 1.4799, 0.2870, and 0.4378, respectively; and those for ISSR were 1.4847, 0.2898 and 0.4415, respectively. Cluster analysis, using the unweighted pair-group method with arithmetic averages (UPGMA) based on the allele frequency data, classified the accessions into three groups. The results of principal component analysis (PCA) were consistent with those of the cluster analysis. PCA showed that each of these three groups exhibited significant variation in agro-morphological traits. These findings suggest that the eight SSR and 17 ISSR primers identified could define valuable markers for genetic diversity for use by plant breeders.     

Development of SSR Markers and Genetic Diversity in White Birch (Betula platyphylla)

In order to study genetic diversity of white birch (Betula platyphylla), 544 primer pairs were designed based on the genome-wide Solexa sequences. Among them, 215 primer pairs showed polymorphism between five genotypes and 111 primer pairs that presented clear visible bands in genotyping 41 white birch plants that were collected from 6 different geographical regions. A total of 717 alleles were obtained at 111 loci with a range of 2 to 12 alleles per locus. The results of statistic analysis showed that polymorphic frequency of the alleles ranged from 17% to 100% with a mean of 55.85%; polymorphism information content (PIC) of the loci was from 0.09 to 0.58 with a mean of 0.30; and gene diversity between the tested genotypes was from 0.01 to 0.66 with a mean of 0.36. The results also indicated that major allele frequency ranged from 0.39 to 1.00 with an mean of 0.75; expected heterozygosity from 0.22 to 0.54 with a mean of 0.46; observed heterozygosity from 0.02 to 0.95 with a mean of 0.26; Nei''s index from 0.21 to 0.54 with a mean of 0.46; and Shannon''s Information from 0.26 to 0.87 with a mean of 0.66. The 41 white birch genotypes at the 111 selected SSR loci showed low to moderate similarity (0.025-0.610), indicating complicated genetic diversity among the white birch collections. The UPGMA-based clustering analysis of the allelic constitution of 41 white birch genotypes at 111 SSR loci suggested that the six different geographical regions can be further separated into four clusters at a similarity coefficient of 0.22. Genotypes from Huanren and Liangshui provenances were grouped into Cluster I, genotypes from Xiaobeihu and Qingyuan provenances into Cluster II, genotypes from Finland provenance into Cluster III, and genotypes from Maoershan into Cluster IV. The information provided in this study could help for genetic improvement and germplasm conservation, evaluation and utilization in white birch tree breeding program.     

Characterization and development of EST-SSR markers to study the genetic diversity and populations analysis of Jerusalem artichoke (<Emphasis Type="Italic">Helianthus tuberosus</Emphasis> L.)

In recent years, Jerusalem artichoke has received widespread attention as a novel source of sugar, biofuel, and animal feed. Currently, only few gDNA-SSRs derived from sunflower were verified in the Jerusalem artichoke; therefore, it is particularly important to develop SSR primer markers that belonged to Jerusalem artichoke resources. Using EST data to develop EST-SSR markers is simple and effective. In order to understand the general characteristics of SSR markers in Jerusalem artichoke EST sequences and accelerate the use of SSR markers in Jerusalem artichoke research. This study used 40,370 sequenced unigene fragments and MISA software to identify SSR loci. The 48 pairs of EST-SSR primers assessed for the identification of 45 varieties of Jerusalem artichoke. Cluster, genetic diversity parameters and AMOVA analysis was conducted using the genetic similarity coefficient, revealing genetic differences between 48 genetic material. A total of 1204 SSR loci were identified with 13 different types of repeats, distributed among 1020 EST sequences, of which trinucleotide repeats were the most common, accounting for 38.21% of the total SSR loci. Among the 44 repeat motifs, AG/CT, AAG/CTT, and ATC/ATG motifs had the highest frequencies, accounting for 22.45, 14.71, and 7.84% of all motifs, respectively. From these sequences, 48 pairs of EST-SSR primers were designed, and 22 primer pairs for loci with high polymorphism were selected to analyze the genetic diversity of 45 Jerusalem artichoke germplasm sources. The results indicated that the variation range of the effective number of alleles for 22 primers ranged between 1.7502 and 4.5660. The Shannon’s information index ranged between 0.6200 and 1.6423. The variation range of PIC ranged between 0.3121 and 0.6662 with an average of 0.5184. Cluster analysis was conducted using the genetic similarity coefficient, revealing significant genetic differences between Asian and European genetic material. Cluster analysis revealed a relationship between the genotypes and geographic origins of the Jerusalem artichoke. The results of AMOVA as well as the genetic identity and genetic distance in the Jerusalem artichoke population showed that there presented certain genetic heterogeneity in Jerusalem artichoke genetic structure of 45 samples from seven different geographic populations. The Jerusalem artichoke EST-SSR marker system established in this study provides an effective molecular marker system for future research focused on Jerusalem artichoke genetic diversity and the breeding of new varieties.