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。     

东北春大豆样本的代表性及其SSR位点的遗传多样性分析

从3226份东北春大豆总体中选择283份春大豆种质,用质量性状和数量性状进行检测,对总体的代表性为80%.利用筛选出61对SSR核心引物对具代表性的东北春大豆样本进行分析,共检测到534个等位变异,平均每个位点的等位变异为8.75个,变幅为2～16个;遗传多样性指数变化范围在0.406～0.886,平均为0.704;东北春大豆样本在大多数位点上有优势等位变异,从而降低了其遗传多样性.其中35份种质具有特异等位变异,分布在29个位点上;各个位点上分化系数均较小,遗传多样性分化程度较低.东北春大豆中3个省种质的共有等位变异较多,以吉林省和辽宁省种质的遗传多样性表现较为一致,均高于黑龙江省种质的遗传多样性.地方品种的遗传多样性高于育成品种.东北春大豆种质资源的遗传多样性分布特点为有目的选择杂交亲本拓宽遗传基础以培育新品种提供了理论依据.     

基于SSR标记分析大豆疫霉根腐病抗源的遗传多样性

丰富的遗传多样性可为大豆育种提供宽阔的遗传基础,本研究基于35对SSR标记,对60份东北地区大豆疫霉根腐病抗性品种进行了遗传多样性分析,共检测到189个等位基因,平均每个位点等位变异数5.4个,多态性信息含量指数(PIC)为0.1550~0.8195,平均为0.6636;遗传相似系数的变异范围为0.31~0.74。利用5对高多态性SSR引物构建了60份抗性材料的指纹图谱,这5对SSR引物构建的指纹图谱可以将60份疫霉根腐病抗性材料逐一区分开。采用NTSYS2.10基于遗传距离的聚类分析,将60份抗性材料分为7个类群,其中78.33%的抗性品种(系)的遗传相似系数在0.45~0.74间,表明遗传差异相对较窄,品种间遗传多样性水平较低。聚类分析与群体遗传结构分析结果有部分重合,均反映出不同地区的抗性材料间存在一定的渗透和交流。     

黑龙江省主栽大豆品种遗传多样性的SSR 分析

使用合丰25等来自13个育种单位的13份大豆(Glycine max)品种对大豆20个连锁群上的100对SSR标记进行筛选, 最终保留了扩增稳定且多态性较高的43对SSR标记, 分析了黑龙江省83个主栽大豆品种的遗传多样性。结果表明, 在所有供试材料中共鉴定出等位变异157个, 每个位点2-7个, 平均为3.65个。品种间遗传相似系数为0.216-0.937, 平均为0.638 4, 表明黑龙江省大豆品种的遗传相似性较大, 故拓宽黑龙江省大豆品种的遗传基础具有重要意义。     

用SSR标记分析抗疫霉根腐病大豆品种(系)的遗传多样性

利用50对SSR引物对抗疫霉根腐病大豆品种(系)进行遗传多样性分析。在166份品种(系)中,50个SSR座位共产生265个等位变异,平均每个座位5.3个。采用NTSYS-pc2.10计算品种(系)间遗传相似系数,平均相似系数为0.3124,表明抗疫霉根腐病大豆品种(系)间的遗传差异较大。用UPMGA进行聚类分析,166个品种(系)在相似系数为0.33时被聚为6类,地理来源相同的品种(系)大多聚类在一起。一些具有相同或相近抗病反应型的品种(系)被聚类在同一个类群中,表明这些抗病品种(系)的遗传关系较近,应有选择地利用。W illiam s和C lark抗疫霉根腐病近等基因系构成明显不同于中国大豆的基因源,可以用于拓宽我国大豆品种的遗传基础。     

福建武夷山甜槠不同世代种群遗传多样性的SSR分析

按胸径将福建武夷山大安源样地的甜槠(Castanopsis eyrei)群体划分为成体、小树、幼苗3个世代,利用SSR分子标记对不同世代的甜槠遗传多样性及遗传分化进行分析,旨在揭示其不同世代间的遗传变异规律,为甜槠资源的保护与利用提供科学依据。14对SSR引物共检测到92个等位基因,平均每位点的等位基因数A=6.571 4,居群的平均有效等位基因数Ae=3.905 4,平均期望杂合度He=0.722 9,表明甜槠群体具有丰富的遗传变异。SSR分析显示3个世代的Ae、He、Nei指数(h)、Shannon信息指数(I)均以幼苗最高,小树次之,成体最低,幼苗的遗传多样性指数高于成体及小树,且幼苗中出现最多的稀有等位基因数,表明甜槠种群世代间的遗传多样性呈稳定上升趋势。分子方差分析(AMOVA)表明甜槠群体不同世代内、世代间均存在遗传变异,但遗传变异主要存在于世代内。SSR分析显示,甜槠不同世代间的遗传分化系数Fst=0.074 3,基因流Nm=3.115 4。甜槠不同世代间的遗传相似度以成体与幼苗最小,遗传距离以成体与幼苗间最大。基于甜槠群体SSR的研究结果,认为自然保护区的建立对物种遗传多样性的保护具有重要作用,并提出在遗传多样性保护中应注重保护成体和幼苗中稀有的等位变异。     

湖北夏大豆种质 SSR 标记的遗传多样性研究

利用SSR标记和系统聚类分析,对92个湖北夏大豆种质进行遗传多样性分析。结果表明,28个SSR位点检测到134个等位变异,每个SSR位点的等位变异范围为2~9个,平均4.78个。鄂西南山区的遗传多样性指数和等位变异数最高,其次为江汉平原区。83.6%以上的遗传差异是由于地区差异引起,表现较高程度的地理分化。系统聚类将92个大豆品种分为3个类群,Ⅰ类和Ⅲ类分别以鄂西南山区品种和江汉平原区品种为主。鄂西南山区和江汉平原区的大豆地方品种表现遗传多样性水平较高。     

黑龙江省主栽大豆品种遗传多样性的SSR分析

使用合丰25等来自13个育种单位的13份大豆（Glycinemax）品种对大豆20个连锁群上的100对SSR标记进行筛选,最终保留了扩增稳定且多态性较高的43对SSR标记,分析了黑龙江省83个主栽大豆品种的遗传多样性。结果表明,在所有供试材料中共鉴定出等位变异157个,每个位点2—7个,平均为3．65个。品种间遗传相似系数为0．216—0．937,平均为0．6384,表明黑龙江省大豆品种的遗传相似性较大,故拓宽黑龙江省大豆品种的遗传基础具有重要意义。     

广东省猴耳环遗传多样性研究

为了解猴耳环(Archidendron clypearia)种质资源的遗传多样性,以广东省12个野生猴耳环群体的146份种质资源为材料,采用SSR分子标记技术对其遗传多样性和亲缘关系进行分析。结果表明,21对SSR引物共检测到249个等位基因,平均每对SSR引物检测的等位基因数(Na)为11.857,有效等位基因数(Ne)为3.500,期望杂合度(He)为0.718,多态信息含量(PIC)为0.676;12个群体中博罗群体的Shannon多样性指数(I=0.528)和有效等位基因数(Ne=0.716)均最大,是遗传多样性最丰富的群体;群体间的遗传分化系数为0.071,AMOVA分析表明,猴耳环的遗传变异主要在群体内(97%),群体内的遗传分化大于群体间。聚类分析表明,遗传系数在0.16时,可将12个群体分为6大类,与主坐标分析的结果大致相同。这为发掘、利用与保护猴耳环群体种质资源,开展猴耳环优良品种的遗传育种提供重要的理论依据。     

我国育成小麦品种的遗传多样性演变

对我国小麦育成品种初选核心种质(1680份)的78个微卫星标记(SSR)位点进行了扫描,并就此对50年来育成品种的遗传多样性进行了评价和分析,得到以下结果和结论:(ⅰ)74对SSR荧光引物共检测到1336个等位变异,其中1253个等位变异可以定位在71个位点上.这71个位点上检测到的每个位点等位变异数为4~44个,平均17.6个;多态性信息指数(PIC)为0.19~0.89,平均为0.69.(ⅱ)三个基因组的平均等位变异丰富度为B>A>D,遗传多样性指数为B>D>A.(ⅲ)7个部分同源群的平均等位变异丰富度为2=7>3>4>6>5>1,遗传多样性指数为7>3>2>4>6>5>1.结合两个指标分析,第7部分同源群具有最高的多样性,而1,5群多样性最低.(ⅳ)21条染色体中,7A,3B和2D三条染色体遗传多样性较高,而2A,1B,4D,5D和1D的遗传多样性偏低.(ⅴ)育成品种遗传多样性指数以50年代的最高,以后越来越低,但年代间变化较平缓;品种间平均遗传距离以50年代最高(0.731),以后逐渐减小,各年代依次为0.711,0.706,0.696和0.695.品种遗传基础狭窄化问题日趋突出,应引起有关部门和育种家的关注.     

Allelic reduction and genetic shift in the Canadian hard red spring wheat germplasm released from 1845 to 2004

Analysis of genetic diversity changes in existing gene pools of cultivated crops is important for understanding the impact of plant breeding on crop genetic diversity and developing effective indicators for genetic diversity of cultivated plants. The objective of this study was to assess genetic diversity changes in 75 Canadian hard red wheat (Triticum aestivum L.) cultivars released from 1845 to 2004 using 31 simple sequence repeats (SSRs) markers. A total of 267 SSR alleles were detected, and their allelic frequencies ranged from 0.01 to 0.97, with an average of 0.14. Significant allelic reduction was observed at only four SSR loci for the cultivars released from 1970 onwards. However, 51 alleles (about 19%) present in pre-1910 cultivars were undetected in cultivars released after 1990 and were spread over 27 SSR loci. The proportion of SSR variation accounted for by six breeding periods was 12.5%, by four ancestral families, 16.5%, and by eight breeding programs, 8.4%. The average genetic diversity measured by three different band-sharing methods did not change significantly among cultivars released from different breeding periods, breeding programs, and ancestral families. However, genetic shift was obvious in the cultivars released over the six breeding periods, reflecting well the various breeding efforts over years. These results clearly show the allelic reduction and genetic shift in the Canadian hard red spring wheat germplasm released over time. Consequently, more effort needs to be made to broaden the wheat breeding base and conserve wheat germplasm.     

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。     

中国东北地区水稻主要栽培品种的遗传多样性分析

利用68对SSR引物对91份粳稻品种进行了遗传多样性分析。研究结果共检测到293个等位基因,平均4．3个;平均多态信息含量（PIC）为0．313,变动范围为0．022～0．825。RM333和RM206的等住基因数最多,分别为14、10;且PIC也最高,分别为0．825、0．805。聚类和群体差异分析结果表明,东北三省水稻品种的遗传基础狭窄。黑龙江省和吉林省、黑龙江省和日本、吉林省和日本的水稻品种间遗传距离都很小．分别为0．083、0．084、0．090,而辽宁省与吉林省、黑龙江省的水稻品种遗传基础有一些差异。9个地理来源的品种聚类结果,可分为5个大类群,黑龙江省、吉林省、日本和韩国形成第Ⅰ类群;北京和辽宁省归为第Ⅱ类群;中国台湾、云南省、美国分别为第Ⅲ、第Ⅳ和第Ⅴ类群。东北三省是重要的粳稻生产基地,但遗传基础非常狭窄,要克服遗传脆弱性应从地理位置较远的国家或地区收集更丰富的遗传资源。     

中国主要黑芝麻品种的遗传多样性分析

利用SRAP和SSR各23对引物对20个中国主要黑芝麻品种进行了遗传多样性分析。结果显示,23对SRAP引物共扩增出DNA带672条,其中多态性带152条,比率为22.62%,平均每对引物扩增总带数和多态性条带分别为29.22条和6.61条。23对SSR多态性引物共扩增出DNA带92条,每对引物扩增出3~6条,平均4.00条;每对引物扩增出多态性带1~5条,平均3.09条,多态性带比率平均为77.17%。20个黑芝麻品种间的遗传相似系数为0.8547~0.9804,遗传距离为0.0159~0.0921,遗传多样性匮乏,遗传基础狭窄。聚类结果表明,来自主产区江西的11个品种明显聚在一起,且江西黑芝麻品种的遗传相似系数高于其他省份品种,遗传距离低于其他省份品种,与其他省份品种的差异均达到极显著水平。加强资源引进和利用是拓宽中国黑芝麻品种遗传基础的迫切要求。     

Simple Sequence Repeat Analysis of Genetic Diversity in Primary Core Collection of Peach （Prunus persica）

In this study, the genetic diversity of 51 cultivars in the primary core collection of peach （Prunus persica （L.） Batsch） was evaluated by using simple sequence repeats （SSRs）. The phylogenetic relationships and the evolutionary history among different cultivars were determined on the basis of SSR data. Twenty-two polymorphic SSR primer pairs were selected, and a total of 111 alleles were identified in the 51 cultivars, with an average of 5 alleles per locus. According to traditional Chinese classification of peach cultivars, the 51 cultivars in the peach primary core collection belong to six variety groups. The SSR analysis revealed that the levels of the genetic diversity within each variety group were ranked as Sweet peach 〉 Crisp peach 〉 Flat peach 〉 Nectarine 〉 Honey Peach 〉 Yellow fleshed peach. The genetic diversity among the Chinese cultivars was higher than that among the introduced cultivars. Cluster analysis by the unweighted pair group method with arithmetic averaging （UPGMA） placed the 51 cultivars into five linkage clusters. Cultivar members from the same variety group were distributed in different UPGMA clusters and some members from different variety groups were placed under the same cluster. Different variety groups could not be differentiated in accordance with SSR markers. The SSR analysis revealed rich genetic diversity in the peach primary core collection, representative of genetic resources of peach.     

Automated sizing of fluorescent-labeled simple sequence repeat (SSR) markers to assay genetic variation in soybean

 Simple Sequence Repeat (SSR) allele sizing provides a useful tool for genotype identification, pedigree analysis, and for estimating genetic distance between organisms. Soybean [Glycine max (L.) Merr.] cultivars are identified for Plant Variety Protection (PVP) purposes by standard pigmentation and morphological traits. However, many commercial soybeans arise from a limited number of elite lines and are often indistinguishable based on these traits. A system based on SSR markers would provide unique DNA profiles of cultivars. Fluorescent labeling of alleles combined with automated sizing with internal size standards in each gel lane was used as an alternative to standard [³²P] labeling to assess genetic variability in soybean. Allelic frequencies at 20 SSR loci were determined in 35 soybean genotypes that account for greater than 95% of the alleles in North American soybean cultivars based upon pedigree analysis. An average of 10.1 alleles per locus (range: 5–17), with a mean gene diversity of 0.80 (range: 0.50 to 0.87) were observed at the 20 SSR loci. The 20 loci successfully distinguished modern soybean cultivars that are identical for morphological and pigmentation traits, as well as 7 soybean genotypes reported to be indistinguishable using 17 RFLP probes. Pedigrees of 7 cultivars were studied to estimate stability of SSRs in soybean across generations. Of the 7 pedigrees 6 had one locus in the progeny with an allele(s) that was not present in either parent. These new alleles are most likely the result of mutation. The mutation rate of SSR alleles in soybean was similar to that reported in humans. To avoid difficulty associated with mutation, DNA fingerprint data should be determined from the bulk of 30-50 plants of a cultivar. Received: 24 March 1997 / Accepted: 4 April 1997