用SSR标记分析辣椒属种质资源的遗传多样性

利用21对引物在33个辣椒材料中共检测到54个等位基因,每对SSR引物检测到2~4个等位基因变异,平均为2.6个,说明辣椒种质资源的遗传多样性相对较少。通过MVSP3.13f软件对SSR数据进行聚类分析,把33个辣椒材料分为五类,同个种的辣椒种质资源基本聚在一起,说明用SSR标记来区分辣椒种质是可行的,是研究辣椒种质资源遗传多样性的有效手段。     

应用SSR标记分析大豆种质资源的遗传多样性

利用SSR分子标记分析了119个大豆品种的遗传多样性,结果表明：30对SSR引物在119份材料中共检测出159个等位变异,平均每对引物检测到5．30个等位变异;河北省农家品种中平均每对引物检测到5．17个等住变异,育成品种4．87个,省外品种4．93个,表明地方品种的遗传多样性高于育成品种。河北省农家品种、育成品种和省外育成品种依据SSR数据获得的品种间相似系数总体平均值相近,分别为0．698、0．698、0．672,但河北省农家品种较育成品种具有较大的变化幅度。119个品种可被划分为3个类群,在一定程度上能把育成品种和农家品种分开,并反映了一定的品种地域来源。     

半野生大豆种质资源SSR位点遗传多样性分析

利用12对SSR引物对67份半野生大豆种质进行了遗传多样性的检测分析,结果表明,12个位点共检测到184个等位基因变异,平均每个位点等位基因数目为15．41个,平均多态性信息量,平均遗传多样性指数,平均遗传距离分别为0．849,0．706,0．118,根据SSR分析结果,按欧式距离将67份半野生大豆种质聚类并划分为5个组群。     

梨砧木种质资源的SSR遗传多样性分析

用9对SSR特异性引物对74份梨砧木种质资源进行遗传多样性分析,结果表明：9对SSR引物扩增得到57个等位基因,平均6.33个,可以区分除K11、K12、杜梨-13和杜梨-15以外的70份梨资源样本。聚类分析结果显示,74份样本的相似系数的变化范围为0.41~1.00,表现出较高的遗传多样性。供试品种在相似系数0.67处被分为7大类群,与品种的系谱来源和地理分布基本吻合。     

基于SSR标记的荔枝种质遗传多样性分析

从53对本课题组自主开发设计的SSR特异引物对中筛选出22对多态性引物,对46份荔枝材料的基因组DNA进行扩增,共得到54个等位基因,其中每对引物的平均等位基因数为2.4,共获得23个特异性标记,各标记的平均观察杂合度值、平均期望杂合度和PIC值分别为0.451、0.355和0.507。其中L it6位点各数值最高,是最理想的选择标记。利用22对多态性引物对46份荔枝种质进行聚类分析,构建树状图,结果表明:大多数种质相似系数在0.63～0.95之间,说明它们之间的亲缘关系较近,并发现淮枝(广东)与淮枝(海南)两者可能为同名异物品种。     

基于SSR标记的贵州薏苡种质资源遗传多样性?分析

利用SSR标记研究了22份薏苡种质的遗传多样性,用11对扩增带型稳定的SSR引物从供试材料中检测出105个等位基因变异,每对引物检测等位基因4～20个,平均9.55个。SSR引物的PIC介于0.3048～0.9238,平均多态性信息量为0.8255。利用UPGMA聚类分系法将供试自交系划分为4类,该划分结果与根据地理来源、种质系谱的分类结果基本一致。SSR分子标记辅助的种质改良是薏苡品种改良的重要途径。     

中国芒(Miscanthus sinensis)初级核心种质的构建

以555份芒(Miscanthus sinensis)种质资源为研究对象,根据26个表型性状数据,按地理来源、植物区系和单一性状进行分组,分别采用简单比例法、平方根法和多样性指数法确定组内取样数,再根据聚类和随机2种方法进行组内个体选择。依照上述方案共构建出19个具有代表性的芒初选核心种质样本库。通过平均相似系数、性状符合度、数量性状变异系数和遗传多样性指数等4项检测指标对上述19种构建方案进行比较,最终确定了按"植物区划分组+多样性指数确定取样数+聚类选择个体"为芒初级核心种质构建的最佳方案。通过此方法建立起的芒初级核心种质资源共83份,占总资源的14.95%,且新构建的初级种质资源与总资源性状符合度达到100%。     

藜麦种质资源遗传多样性SSR标记分析

为研究藜麦(Chenopodium quinoa Willd.)种质资源的遗传多样性,分析中国藜麦种质遗传背景,本研究利用65对简单重复序列(SSR)标记对163份藜麦种质和3份台湾红藜(Chenopodium formosanum Koidz.)种质进行分子标记,分析了该种质群体的多态性和亲缘关系.数据显示,65对S...     

玉米SSR引物在芒属植物遗传多样性分析的应用研究

目的:本文为了探索芒属植物的遗传多样性,方法:运用SSR分子标记的方法,用30对玉米SSR引物对15份中国湖南省的野生芒属材料进行扩增.结果:结果表明:30对引物共扩增出159条带,其中多态性条带121个,占76.10%.平均Nei's基因多样度为0.1992,平均Shannon信息指数为0.3139.UPGMA聚类分析显示,15份材料在遗传相似系数(GS)为0.75水平上,聚成三大类.第一大类由芒组成,第二大类由五节芒组成,第三大类由南获组成.这与形态学上的分类吻合.结论:玉米的SSR引物对于芒属植物遗传多样性分析仍具有很好的可行性.     

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。     

利用SSR分析红菜苔的遗传多样性

红菜苔是我国独有的蔬菜资源,深受消费者喜爱。利用63对SSR引物检测来自全国的45份红菜苔种质资源的遗传多样性,63对引物扩增出124条带,平均每条引物扩增出近2条带,扩增产物片段大小都在150～300bp之间,相似系数在0.56～0.89之间。结果表明,红菜苔具有丰富的遗传多样性,本研究为菜苔资源的利用和育种提供了分子生物学依据。     

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India

Molecular characterization and genetic diversity among 82 soybean accessions was carried out by using 44 simple sequence repeat (SSR) markers. Of the 44 SSR markers used, 40 markers were found polymorphic among 82 soybean accessions. These 40 polymorphic markers produced a total of 119 alleles, of which five were unique alleles and four alleles were rare. The allele number for each SSR locus varied between two to four with an average of 2.97 alleles per marker. Polymorphic information content values of SSRs ranged from 0.101 to 0.742 with an average of 0.477. Jaccard’s similarity coefficient was employed to study the molecular diversity of 82 soybean accessions. The pairwise genetic similarity among 82 soybean accessions varied from 0.28 to 0.90. The dendrogram constructed based on genetic similarities among 82 soybean accessions identified three major clusters. The majority of genotypes including four improved cultivars were grouped in a single subcluster IIIa of cluster III, indicating high genetic resemblance among soybean germplasm collection in India.

Electronic supplementary material

The online version of this article (doi:10.1007/s12298-014-0266-y) contains supplementary material, which is available to authorized users.     

Generation means analysis for productivity in two diverse peanut crosses

Summary Utilization of exotic germplasm resources for population improvement in peanut (Arachis hypogaea L.) has increased as the need to increase genetic diversity among peanut cultivars was recognized. Progeny of crosses of two unadapted germplasm lines (GP-NC 343 and FESR-11-P11-32) with an adapted cultivar (NCV11) of peanut were evaluated for the genetic factors influencing the inheritance of yield and fruit characters in crosses among diverse lines. Objectives were to (1) estimate the relative importance of additive and nonadditive genetic effects in the inheritance of yield and fruit characters in two diverse peanut crosses; (2) determine the proportion of exotic germplasm that gave the optimum combination of mean productivity and genetic variability for each of the crosses; (3) relate the results to theories regarding the transfer of desirable alleles from exotic germplasm into adapted breeding populations. Crosses and backcrosses were made to generate germplasm lines (ten generations) ranging from 0 to 100% exotic germplasm for each cross. The populations were evaluated in replicated field trials. Yield and six fruit characters were measured, and a weighted analysis of variance was conducted to determine if significant differences existed among generations. Generation means analyses were performed for each trait measured in each of the crosses using both three- and six-parameter models, which were tested for goodness-of-fit with a joint-scaling test. Significant differences were detected among generations for most traits measured in both crosses. Estimates of additive genetic effects were significant for pod weight and seed weight in cross 1 (NC-V11 x GP-NC 343) and for all traits in cross 2 (NC-V11 x FESR-11-P11-32) except seedpod ratio. Significant estimates of dominance effects were found for pod length, pod width, and pod weight in cross 1 and for pod length in cross 2. No significant estimates of digenic effects were observed in cross 1, whereas in cross 2 estimates of additive x dominance epistatic effects were significant for yield and pod length, while estimates of additive x additive effects were significant for seed number. Regression of trait means on generations showed a curvilinear response for all traits in cross 1 except seed weight, which gave a linear response. For all traits in cross 2, the relationship between productivity and proportion of unadapted germplasm was effectively linear. Based on generation means and variances, progeny from the first or second backcross generation to the recurrent parent should be expected to give an optimum combination of mean productivity and relative variability in the population.The research reported in this publication was funded in part by the North Carolina Agricultural Research Service     

Genetic diversity analysis in sorghum germplasm as estimated by AFLP, SSR and morpho-agronomical markers

A comparison of the different methods of the estimation of genetic diversity is important to evaluate their utility as a tool in germplasm conservation and plant breeding. Amplified fragment length polymorphism (AFLP), microsatellites or SSR and morphological traits markers were used to evaluate 45 sorghum germplasm for genetic diversity assessment and discrimination power. The mean polymorphism information content (PIC) values were 0.65 (AFLPs) and 0.46 (SSRs). The average pairwise genetic distance estimates were 0.57 (morphological traits), 0.62 (AFLPs) and 0.60 (SSRs) markers data sets. The Shannon diversity index was higher for morphological traits (0.678) than AFLP (0.487) and SSR (0.539). The correlation coefficients obtained by the Mantel matrix correspondence test, which was used to compare the cophenetic matrices for the different markers, showed that estimated values of genetic relationship given for AFLP and SSR markers, as well as for morphological and SSR markers were significantly related (p <0.001). However, morphological and AFLP data showed non-significant correlation (p >0.05). Both data sets from AFLP and SSR allowed all accessions to be uniquely identified; two accessions could not be distinguished by the morphological data. In summary, AFLP and SSR markers proved to be efficient tools in assessing the genetic variability among sorghum genotypes. The patterns of variation appeared to be consistent for the three marker systems, and they can be used for designing breeding programmes, conservation of germplasm and management of sorghum genetic resources.     

Analysis of genetic diversity in Aconitum kongboense L. revealed by AFLP markers

The systematic evaluation of the molecular diversity encompassed in Aconitum kongboense L. inbreds or parental lines offers an efficient means of exploiting the heterosis in A. kongboense as well as for management of biodiversity. An excellent and novel DNA-based molecular, amplified fragment length polymorphisms (AFLPs) markers, was firstly used to analysis the genetic diversity in A. kongboense genotypes. Out of 256 primers screened, a total of ten combinations successfully produced scorable, clear, reproducible and relatively high polymorphism bands, 64.12% of which were polymorphic. The values of number of polymorphic loci (NPL), percentage of polymorphic loci (PPB), observed number of alleles (Na) and effective number of alleles (Ne) were highest in population 3 (NPL = 77, PPB = 68.75%, Na = 1.688 ± 0.466, Ne = 1.412 ± 0.397) and lowest in population 2 (NPL = 57, PPB = 50.89%, Na = 1.509 ± 0.502, Ne = 1.273 ± 0.340). In addition, Jaccard's similarity coefficients among different populations varied from 0.45 to 1.00 with an average of 0.55. The data collected will contribute to identification, rational exploitation and conservation of germplasms of A. kongboense, and potentially useful to aid its breeding.     

中国绿豆种质资源遗传多样性研究

分析中国作物种质资源数据库中5072份国内绿豆资源的地理分布,并对14个性状(6个质量性状和8个数量性状)进行遗传多样性分析。结果表明:我国绿豆种质资源分布在约28个纬度、60个经度内,其中29~41°N×107~123°E范围内分布最多,占总材料数的75.99%。6个质量性状中荚色的遗传多样性指数最高,而8个数量性状中百粒重的遗传多样性指数最高。35~37°N×111~115°E、37~39°N×111~115°E、39~41°N×115~119°E、41~43°N×115~119°E几个小区遗传多样性指数较高,可初步推断中国绿豆资源遗传多样性中心在35~43°N×111~119°E范围内。