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1.
分析大豆亲本材料的遗传多样性,发掘农艺性状关联位点的优异等位变异,为大豆杂交组合的配置及分子标记辅助育种提供依据。本试验利用59个SSR标记对90份大豆种质资源进行多态性扫描和遗传多样性分析。筛选出46个标记,应用STRUCTURE2.3.2软件进行群体结构遗传分析,利用Tassel2.1软件MLM模型对18个农艺性状进行关联分析,发掘优异等位变异。结果表明:(1)59个标记中50个标记具有多态性,共检测出154个等位变异;多态性信息值PIC分布范围为0.042~0.765,平均PIC=0.421;SSR标记位点的Shannon指数(H’)的分布范围为0.1066~1.6804,平均值为0.8241;遗传距离的变异范围为0.0307~1.4529,平均值0.7015。(2)供试材料分为4个亚群。发现7个与分枝数、百粒重、叶形、主茎节数、生育期和蛋白含量相关联的标记,表型变异的解释率为0.003~0.339。研究在各关联位点找到了Satt263-A279、Satt156-A203、Satt567-A112等表型效应明显的优异等位变异。为大豆育种优异基因的克隆提供科学依据。  相似文献   

2.
利用79对SSR引物对黄淮麦区129份种质资源进行了分析。结果表明, 79对引物共检测到335个等位变异，每个引物检测到的等位变异数目2～8个，平均4.240个，变异最大的位点主要位于B组染色体上。79个SSR位点的遗传多态性信息含量在0.015～0.820之间，平均0.498。种质资源间的遗传相似系数在0.253～0.909之间，平均0.492。聚类分析把这些种质资源分为4大类和7个亚类。聚类结果与地域并不吻合，但能较好地反映出亲本的特性和其间的亲缘关系。关键词：黄淮麦区；小麦；种质资源；遗传多样性；SSR标记；聚类分析  相似文献   

3.
黄淮麦区部分小麦种质资源的遗传差异分析   总被引：10，自引：0，他引：10  
利用79对SSR引物对黄淮麦区129份种质资源进行了分析。结果表明,79对引物共检测到335个等位变异,每个引物检测到的等位变异数目2～8个,平均4.240个,变异最大的位点主要位于B组染色体上。79个SSR位点的遗传多态性信./010.015～0.820之间,平均0.498。种质资源间的遗传相似系数在0.253～0.909之间,平均0.492。聚类分析把这些种质45674大类和7个亚类。聚类结果与地域并不吻合,但能较好地反映出亲本的特性和其间的亲缘关系。  相似文献   

4.
利用SSR标记对中国柚类资源及近缘种遗传多样性研究   总被引：6，自引：0，他引：6  
利用SSR标记研究了122份我国柚(CitrusgrandisOsbesk)类资源及近缘种遗传多样性。31对SSR引物从供试材料中检测出335个等位基因变异,平均每个位点可检测到9.85个等位基因。位点多态信息量(PIC)变幅为0.1939!0.9073,平均为0.7085。用UPGMA方法将122份材料分成7个组群,110个柚类品种在相似系数0.712,可细分成18个亚组,主要由沙田柚品种群、文旦柚品种群及庞大的杂种柚品种群组成。  相似文献   

5.
东南亚62个籼型水稻亲本SSR遗传多样性分析   总被引：2，自引：0，他引：2  
为探讨东南亚水稻亲本间的遗传多样性,以东南亚62份籼型水稻亲本为材料,选择29对水稻功能基因标记以及平均分布于12条染色体、多态性较高和条带清晰的72对SSR引物进行遗传多样性和聚类分析。结果表明,32对多态性引物在62份水稻材料中检测到201个等位基因,每个位点等位基因数(Na)变异范围为2~12,平均为6.281;有效等位基因数(Ne)变异范围为1.067~5.399,平均为2.867;多态信息含量(PIC)变异范围为0.061~0.789,平均为0.515;平均Shannon信息指数(I)为1.176,变幅为0.143~1.908;观察杂合度(Ho)为0.977,范围为0.936~1.000;期望杂合度(He)为0.439,范围为0.179~0.937;固定指数(Fis)的范围为0.882~1.000;基因流(Nm)的范围为0~0.0157。聚类分析表明,在遗传相似系数为0.805处,东南亚水稻亲本被分为6大类,同一国家大多数品种聚为一类。相对于普通分子标记,功能基因标记的平均等位基因数不高,其遗传多样性参数也低于普通分子标记,东南亚各国水稻品种间的亲缘关系较近,遗传多样性程度较低。研究结果为水稻育种亲本选配、新种质资源的创制以及杂种优势利用等提供了科学依据。  相似文献   

6.
金针菇种质资源5个农艺性状与SSR标记的关联分析   总被引：2，自引：0，他引：2  
金针菇(Flammulina velutipes)是一种重要的商业化栽培食用菌,为挖掘控制金针菇重要农艺性状的基因组区段,本研究以90份金针菇种质资源为实验材料,测定其原基期、菌柄直径、菌柄长度、菌盖直径和单瓶产量5个农艺性状,利用全基因组序列开发的95份多态简单重复序列(simple sequence repeat,SSR)标记对供试材料进行基因组扫描,在分析实验材料的群体结构和连锁不平衡基础上,采用一般线性模型方法对5个农艺性状进行关联分析。结果表明,各供试材料的5个农艺性状均有极显著差异。95份多态SSR标记共检测到582个等位变异,平均每个位点的等位变异数为6.13个。标记多态信息含量(polymorphism information content,PIC)变化范围为0.204~0.818,平均为0.542。群体遗传结构分析将供试材料分为8个亚群体,群体内SSR位点间存在较高的连锁不平衡(linkage disequilibrium,LD),不平衡程度D’值大于0.5的组合数占总组合数的33.01%。关联分析检测出28个标记与5个性状显著相关,其中原基期的关联标记有2个,菌柄直径的关联标记有12个,菌柄长度的关联标记有3个,菌盖直径的关联标记有9个,单瓶产量的关联标记有5个。关联SSR标记对表型变异解释率的变幅为5.11%~23.55%。研究表明,所选金针菇种质资源群体的遗传多样性以及连锁不平衡程度较高,适用于关联分析研究。本研究结果对金针菇核心种质资源库构建以及分子标记辅助育种具有参考价值。  相似文献   

7.
山东省46个花生品种SSR指纹图谱构建与遗传多样性分析   总被引：2，自引：0，他引：2  
为从分子水平上快速鉴别花生品种和选配优良杂交组合,以山东省审定的46个花生品种为材料,利用微卫星(SSR)标记进行DNA指纹图谱的构建和遗传多样性分析。从788对SSR引物中筛选出50对多态性高、稳定性好、谱带清晰的引物,共检测到175个等位位点,其中122个为多态性位点,多态性比率达70.52%;每对SSR引物扩增出的等位位点数为2~7个,多态性信息量变化范围为0.6753~0.8412,平均为0.823。此外,利用14对引物可将46份材料完全区分开。聚类分析表明,在相似系数0.77处,所有供试材料聚为一类,在相似系数0.80处,仍有76%的材料聚在一起。利用SSR标记构建的指纹图谱可为花生种质资源管理及育种实践提供依据。  相似文献   

8.
聂兴华  刘松  王碧瑶  李琰  练蔓青  秦岭  郑瑞杰  邢宇 《核农学报》2022,36(11):2104-2114
为解析我国主栽日本栗品种资源的遗传多样性并构建其指纹图谱,本研究通过毛细管电泳和高质量的17个SSR分子标记对日本栗品种资源进行位点检测。结果显示,日本栗与茅栗具有较近的种间亲缘关系。在59份日本栗品种(系)中共检测到131个等位位点,每个标记平均有7.706个等位位点;多态信息含量(PIC)变幅为0.375~0.815,平均值为0.605;供试日本栗品种表现出高的遗传多样性。系统发育树、群体结构和主坐标分析结果一致,支持中国境内的部分日本栗品种(系)独立形成一个分支,且大多品种为杂交资源。此外,本研究根据多位点匹配分析确定了CmSI0922、CmSI00702和CmSI0658为核心引物,并利用这3个核心引物构建了59份日本栗品种(系)的指纹图谱。综上所述,相比其他栗属植物,日本栗分布范围较狭窄,但其具有丰富的遗传多样性,且品种资源间存在广泛的基因流。本研究成功构建了59份日本栗品种(系)资源的具有唯一对应关系的指纹图谱,为栗属植物的资源鉴定和保护利用提供了有力支撑。  相似文献   

9.
我国部分冬小麦新品种（系）SSR标记遗传差异的研究   总被引：31，自引：0，他引：31  
本研究利用53对SSR引物对全田1999－2000年北方冬麦区及黄淮冬麦区观察圃中选出的48个新品种（系）进行遗传差异研究，共检测出58个SSR位点上的367个等位变异，平均每个位点有6.33个等位变异，其中B组每个位点的等位变异最多，这表明B基因组化更快，分化更大。48个品种（系）在全基因组及A、B、D基因组聚类结果表明这些品种的相似系数聚类的范围较小，为0.75－0.98。全基因组聚类结果与品种的系谱来源及育成地区相吻合。研究结果表明我国冬小麦品种的种质基础相对较狭窄。加强不同来源种质的利用和特异亲本类型的培育对我国冬小麦遗传改良非常重要，利用5个多态性高的SSR标记就可以将这48个小麦新品种（系）区分开，每个品种（系）都有各自独特的指纹图谱。  相似文献   

10.
为探明山西芝麻种质资源的遗传特性,本研究利用30对简单重复序列标记(SSR)对71份山西芝麻种质资源进行遗传多样性分析及群体结构分析。结果表明,30对SSR标记共检测到144个等位基因位点,平均每个SSR标记4.800个等位基因;有效等位基因数在1.058~5.149之间,平均2.805个;Shannon指数变幅为0.128~1.813,平均为1.096;Nei's遗传多样性指数变幅为0.055~0.806,平均为0.558;多态性信息含量变幅为0.053~0.783,平均为0.515。基于SSR标记对参试材料进行聚类分析,遗传相似系数为0.21~0.67,在遗传相似系数0.27处将参试材料分为6个类群;基于SSR标记对参试材料进行群体结构分析,将参试材料划分为5个组群。综上所述,山西芝麻种质资源间遗传差异相对较高,具有丰富的遗传多样性,在今后芝麻种质资源创制利用中,加大山西芝麻种质资源的开发与利用,可为芝麻品种遗传改良和优异基因发掘奠定良好的基础。  相似文献   

11.
A common bean genomic library was constructed using the ‘IAC-UNA’ variety enriched for (CT) and (GT) for microsatellite motifs. From 1,209 sequenced clones, 714 showed microsatellites distributed over 471 simple and 243 compound motifs. GA/CT and GT/CA were the most frequent motifs found among these sequences. A total of 123 microsatellites has been characterized. Out of these, 87 were polymorphic (73.7%), 33 monomorphic (26.8%), and 3 (2.4%) did not amplify at all. In a sample of 20 common bean materials selected from the Agronomic Institute Germplasm Bank, the number of alleles per locus varied 2–9, with an average of 2.82. The polymorphic information content (PIC) of each marker varied from 0.05 to 0.83, with a 0.45 average value. Cluster and principal coordinate analysis of the microsatellite data were consistent with the original assignment of the germplasm accessions into the Andean and Mesoamerican gene pools of common bean. Low polymorphism levels detected could be associated with the domestication process. These microsatellites could be a valuable resource for the bean community because of their use as new markers for genetic studies.  相似文献   

12.
A common bean genomic library was constructed using the ‘IAC-UNA’ variety enriched for (CT) and (GT) for microsatellite motifs. From 1,209 sequenced clones, 714 showed microsatellites distributed over 471 simple and 243 compound motifs. GA/CT and GT/CA were the most frequent motifs found among these sequences. A total of 123 microsatellites has been characterized. Out of these, 87 were polymorphic (73.7%), 33 monomorphic (26.8%), and 3 (2.4%) did not amplify at all. In a sample of 20 common bean materials selected from the Agronomic Institute Germplasm Bank, the number of alleles per locus varied 2–9, with an average of 2.82. The polymorphic information content (PIC) of each marker varied from 0.05 to 0.83, with a 0.45 average value. Cluster and principal coordinate analysis of the microsatellite data were consistent with the original assignment of the germplasm accessions into the Andean and Mesoamerican gene pools of common bean. Low polymorphism levels detected could be associated with the domestication process. These microsatellites could be a valuable resource for the bean community because of their use as new markers for genetic studies. Electronic supplementary material The online version of this article (doi: ) contains supplementary material, which is available to authorized users. An erratum to this article can be found at  相似文献   

13.
Emmer wheat (Triticum dicoccon Schrank) is still largely cultivated in India, and highly appreciated for the preparation of traditional dishes. Moreover, its nutritional characteristics could justify a development of its cultivation. The perspective of genetic improvement however requires a good knowledge of the genetic diversity existing within the eco-geographic group of Indian emmer wheats. A set of 48 emmer wheat accessions from India including 28 from a local collection and 20 Indian accessions obtained from CIMMYT, Mexico, was assessed for genetic variability using 47 microsatellite (SSR) markers, distributed over all the 14 chromosomes. The number of alleles per locus ranged from 2 to 9, with an average of 3.87 alleles per locus. A total of 201 alleles were detected at 52 loci with average polymorphic information content of 0.35 per locus and a mean resolving power of 1. The pair-wise similarity coefficients calculated from binary data matrix based on presence or absence of alleles varied from 0.15 to 0.98, but was greater than 0.5 for most accessions, indicating a high level of similarity. A cluster analysis based on the similarity matrix identified nine distinct accessions and three clusters. All the recently developed commercial varieties were distinctly different from the clusters. Based on the analysis, it appears that Indian emmer wheats are not very diverse. Consequently, there is a need to increase the diversity within the Indian emmer wheat eco-geographic group, by introducing diversity from other eco-geographic groups, or even from other wheat species.  相似文献   

14.
Soybean (Glycine max (L.) Merr.) has a long planting history in both China and Japan. In order to investigate the genetic relationship between Chinese and Japanese soybeans, 205 Chinese soybean accessions, that represent the seven different soybean ecotypes, and 39 Japanese soybean accessions from various regions were analyzed by using 46 SSR loci. In total 745 alleles were detected with an average allele number of 16.2 per locus. The allelic frequencies varied from 0.002 to 0.554 with an average of 0.06. Cluster analysis with UPGMA separated the Chinese accessions from Japanese accessions, suggesting that soybean in these two countries form different gene pools. When comparing the Japanese soybean with that from seven different Chinese soybean ecotypes, 164–200 alleles were specific to the Chinese accessions and 64–112 specific to the Japanese accessions. The comparison of SSRs diversity revealed that accessions from China exhibited more genetic diversity than those from Japan. The data were analyzed to resolve the genetic structure and to interpret the evolutionary relationships between groups. Three distinct groups were identified, corresponding to Japanese soybean, Northern China soybean, Southern China soybean and a mixed group in which most accessions were from central China. The results indicate that accessions from Japan are distinct from Chinese ones, and Japanese accessions had more close relationship with Chinese northeast spring and southern spring ecotypes. We further analyzed five agronomic trait-related SSR loci and found that the preponderant alleles are different in Chinese and Japanese soybean. Our study provides important insights into further utilization of Japanese soybean in Chinese soybean breeding.  相似文献   

15.
为了研究南瓜栽培品种的遗传多样性,本研究利用43个简单序列重复(SSR)分子标记,对35份南瓜育成品种及地方品种进行了分子标记分析,并调查了农艺性状。结果表明,43个SSR标记均能扩增出多态性条带,共检测到155个等位基因,平均每个标记能检测到3.6个等位基因,多态性信息含量(PIC)为0.130 8~0.775 4,平均值为0.487 2。利用非加权组平均法(UPGMA)进行聚类分析,结果表明35份材料可分为三大类,分别与中国南瓜、印度南瓜和美洲南瓜三个种吻合,且印度南瓜与美洲南瓜之间的亲缘关系较近。农艺性状调查结果表明,不同栽培种之间以及同一栽培种内的不同品种之间,都发现有农艺性状差别明显的情况。本研究为南瓜种质资源的保护、品种指纹图谱的建立及分子育种提供了理论依据。  相似文献   

16.
Genetic diversity among 19 Triticum aestivum accessions and 73 accessions of closely related species was analyzed using simple sequence repeat (SSR) markers. Forty-four out of 497 SSR markers were polymorphic. In total 274 alleles were detected (mean 6.32 alleles per locus). The polymorphic information content (PIC) of the loci ranged from 0.3589 to 0.8854 (mean 0.7538). The D genome contained the highest mean number of alleles (6.32) followed by the A and B genomes (6.13 and 5.94, respectively). The correlation between PIC and allele number was significant in all genome groups (0.7540, 0.7361 and 0.7482 for A, B and D genomes, respectively). Among the seven homologous chromosome groups, genetic diversity was lowest in group 7 and highest in group 5. In cluster and principal component analyses, all accessions grouped according to their genomes were consistent with their taxonomic classification. Accessions with the A and D genomes were clustered into two distinct groups, and AABB accessions showed abundant genetic diversity and a close relationship. Triticum durum and T. turgidum were clustered together, consistent with their morphological similarity. Cluster analysis indicated emmer is closely related to hexaploid wheat. Compared with common wheat, higher genetic variation was detected in spelt, T. aestivum subsp. yunnanense and subsp. tibetanum. In addition, a close genetic relationship between T. polonicum and T. macha was observed. The results of the clustering and principal component analyses were essentially consistent, but the latter method more explicitly displayed the relationships among wheat and closely related species.  相似文献   

17.
Genetic diversity in local cowpea varieties and breeding lines from Senegal were studied using random amplified polymorphic DNA (RAPD) and microsatellite (SSR) techniques. Among the 61 RAPD primers used, twelve show polymorphism. Fifteen of the 30 microsatellite primer pairs were polymorphic, detecting one to nine alleles per locus. The RAPD and SSR data were analyzed both separately and in combination to assess relationships among genetic lines. Although RAPD provided information on levels of genetic diversity, microsatellite markers are most effective in determining the relationship among cowpea accessions and varieties. The SSR results support the genetic diversification of cowpea in Senegal and underscore their potential in elucidating patterns of germplasm diversity of cowpea in Senegal. An erratum to this article is available at .  相似文献   

18.
Genetic diversity of 139 accessions of diploid Triticum species including Triticum urartu, Triticum boeoticum and Triticum monococcum was studied using 11 SSR (simple sequence repeats) markers. A total of 111 alleles with an average of 10 alleles per locus were detected. The polymorphism information content (PIC) of each SSR marker ranged from 0.30 to 0.90 with an average value of 0.62. Among the three Triticum species T. urartu had the highest number of total alleles (Na?=?81), private alleles (Npa?=?15) and showed higher genetic diversity (Hex?=?0.58; PIC?=?0.54). The genotypes from Turkey exhibited the highest genetic diversity (PIC?=?0.6), while the least diversity was observed among 4 Georgian accessions (PIC?=?0.11). Cluster analysis was able to distinguish 139 wheat accessions at the species level. The highest genetic similarity (GS) was noted between T. boeticum and T. monococcum (GS?=?0.84), and the lowest between T. urartu and T. monococcum (GS?=?0.46). The grouping pattern of the PCoA analysis corresponded with cluster analysis. No significant differences were found in clustering of T. urartu and T. monococcum accessions with respect to their geographic regions, while within T. boeoticum species, accessions from Iran were somewhat associated with their geographical origin and clustered as a close and separate group. The results from our study demonstrated that SSR markers were good enough for further genetic diversity analysis in einkorn wheat species.  相似文献   

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