大铃棉中棉所48主要经济性状的QTL定位分析

利用4961对SSR引物对中棉所48的2个亲本进行多态性筛选,结果筛选到71对条带清晰、稳定性好的多态性引物,利用这些引物对261个F2群体进行扩增构建连锁图,获得了包含有49个标记位点的14个连锁群,共覆盖498.7cM,约占棉花总基因组10.0％的遗传图谱.采用WinQTL Cartographer 2.5的复合区间作图法(CIM),对F2群体的铃重、衣分及纤维品质进行分析,共检测到l1个稳定的QTLs,其中铃重2个、表分4个、纤维整齐度2个、纤维细度2个、纤维伸长率1个.这些稳定表达的QTLs能解释较大的表型变异,可用于纤维品质及产量性状的标记辅助选择,也可为大铃、优质棉的分子标记辅助选择,改良、提高大铃基因的选择效率,提供理论依据.     

SSR与SRAP标记在玉米品种鉴定中的比较研究

利用SSR标记和SRAP标记对19个玉米品种及8份莱农15样品进行了分析,比较了2种标记的分辨能力及在亲缘关系和杂交种纯度鉴定中的表现.与SSR标记相比,SRAP标记用于玉米品种鉴定扩增住点数量更多,PIC值更高,具有更高的分辨率;在亲缘关系分析方面,SSR检测的遗传距离变幅更大,2种标记计算的遗传距离呈极显著正相关,分类结果基本一致;在杂交种纯度检测中,SRAP标记的期望位点在杂交种群体中检测率高于SSR标记相应位点,检测杂交种纯度结果更接近田问种植鉴定,因而准确度更高.SRAP在玉米品种鉴定中具有一定的优势,可作为SSR标记技术的有益补充,特别是在杂交种纯度鉴定中应用.     

青藏高原早熟甘蓝型春油菜遗传资源研究

利用SSR和SRAP 2种分子标记研究了69份试验材料的遗传差异及其亲缘关系.29对SSR标记共扩增出118条多态性带,多态性位点占总扩增位点的97.5%,27对SRAP引物扩增出123条多态性带,多态性比率为70.3%.两种标记聚类结果表明.在相似系数0.566处所有材料可以分为A、B 2个大类群;B类在相似系数0.620处又可分为7个亚类,10个天然双低早熟甘蓝型品系、2个甘蓝型亲本和4个新型品系聚在第1亚类中,其余的51个新型甘蓝型油菜品系分别聚在其他6个亚类中.对55份新型品系进行遗传成分分析,结果表明,每个品系都合有4种带型,各品系所舍不同带所占比率不同.对各品系中含有白菜型亲本带所占比率分别与其对应的两亲本之间的遗传距离进行相关分析,结果表明新型甘蓝型油菜品系中白菜型亲本带所占比率与白菜型素本间的遗传距离为负相关(-0.52),且达到极显著水平;与甘蓝型亲本间的遗传距离为正相关(0.31),且达到显著水平.对试验材料之间的遗传距离及其来源进行分析(除与2个白菜型亲本间),遗传距离排名前20位的都来自新型品系之间或天然品系与新型之间,最大为0.544.     

基于表型性状和SSR分子标记的云南省水稻主要育成品种（系）的遗传相似性分析

为了揭示云南省水稻主要育成品种（系）的遗传相似性。本文利用株高等17个表型性状和48个微卫星（SSR）分子标记,对云南省18个育种部门（或课题组）60年代以来选育的40个品种（系）进行遗传相似性评价。结果显示表型遗传相似性低于DNA水平。40个品种（系）基于17个表型性状的平均遗传相似系数为0.244,籼型为0.289,粳型为0.309,籼粳亚种间为0.162;基于48个SSR分子标记的平均遗传相似系数为0.383,籼型为0.318,粳型为0.478,籼粳亚种间为0.267。48个SSR分子标记共检测到等位基因214个,每个标记2～8,平均4.458个;平均有效等位基因数为2.8336,变幅为1.1515～5.2981;多态性信息含量（PIC）平均值为0.6058,变幅为0.2118～0.8816;基因型多样性指数（H′）平均值为1.1328,变幅为0.3768～1.8087。RM84、RM249、RM152、RM222和RM528是评价云南省水稻选育品种（系）遗传相似性比较理想的SSR分子标记。聚类分析显示,云南省水稻主要选育品种（系）表现为亚种间遗传差异明显,亚种内遗传差异较小,粳型遗传相似性高于籼型。表明云南省选育的粳型品种（系）遗传多样性低,且同一育种部门（或育种人）选育的品种遗传相似度高。     

用SSR标记分析福建漳浦野生稻的遗传多样性

应用平均分布于水稻基因组的21对SSR引物,对福建漳浦野生稻、海南野生稻共计62份材料的遗传多样性进行分析.结果表明:漳浦野生稻具有较高的遗传多样性,21个位点共检测到74个等位变异,平均等位变异数A=3.5238,有效等位变异数Ae=2.0629.平均期望杂合度He=0.4635,实际观察杂合度Ho=0.2465,香农指数I=0.8286;根据固定指数(F=0.3887)估算的异交率t=0.4308,说明漳浦野生稻的繁育系统属于一种自交率较高的混合交配类型;分化程度石潭湖群体高于古塘群体.     

甘蓝型特高含油量油菜种质资源及主栽品种指纹图谱构建

本研究选择特高含油量资源7份,与中国各油菜主产区具有代表性的主栽品种16份,利用SSR多引物组合法开展指纹图谱构建研究。选择多态丰富、图谱清晰稳定且来自不同连锁群的引物28对,对所有材料进行指纹图谱分析,共获SSR指纹条带302条,其中多态性条带为279条,每引物所获条带6-16条,平均10.79条,平均多态率92. 38%,通过指纹图谱将所有材料有效地区别开来。用非加权类平均法（UPGAM）聚类分析显示：高油材料之间以及高油材料与主栽品种之间遗传距离均有较大差异,在遗传距离0.171处可将23份材料分成9个类群,其中7份高油材料分处4个类群,遗传距离差异显著;而其他8份主栽品种被分别聚类在另外5个类群中;所有材料间皆具有丰富的遗传多样性,其中高油材料与主栽品种间遗传差异更大。     

180份玉米自交系亲缘关系的分子评价

利用覆盖玉米全基因组的22对SSR引物,对180份玉米自交系的亲缘关系进行分子评价.结果显示:22对SSR引物共检测到129个等位基因,每一位点平均等位基因数5.9,变幅2～13;平均基因多样性指数和平均多态性信息含量分别为0.583和0.528.基于模型的群体结构分析将所有材料分为5个类群,与国内自交系划分的杂种优势...     

Microsatellite variation and structure of 28 populations of the common wetland plant, Lychnis flos-cuculi L., in a fragmented landscape

Habitat fragmentation is known to cause genetic differentiation between small populations of rare species and decrease genetic variation within such populations. However, common species with recently fragmented populations have rarely been studied in this context. We investigated genetic variation and its relationship to population size and geographical isolation of populations of the common plant species, Lychnis flos-cuculi L., in fragmented fen grasslands. We analysed 467 plants from 28 L. flos-cuculi populations of different sizes (60 000-54 000 flowering individuals) in northeastern Switzerland using seven polymorphic microsatellite loci. Genetic differentiation between populations is small (F(ST) = 0.022; amova; P < 0.001), suggesting that gene flow among populations is still high or that habitat fragmentation is too recent to result in pronounced differentiation. Observed heterozygosity (H(O) = 0.44) significantly deviates from Hardy-Weinberg equilibrium, and within-population inbreeding coefficient F(IS) is high (0.30-0.59), indicating a mixed mating breeding system with substantial inbreeding in L. flos-cuculi. Gene diversity is the only measure of genetic variation which decreased with decreasing population size (R = 0.42; P < 0.05). While our results do not indicate pronounced effects of habitat fragmentation on genetic variation in the still common L. flos-cuculi, the lower gene diversity of smaller populations suggests that the species is not entirely unaffected.     

Comparative analysis of population genetic structure in Athyrium distentifolium (Pteridophyta) using AFLPs and SSRs from anonymous and transcribed gene regions

To examine the performance and information content of different marker systems, comparative assessment of population genetic diversity was undertaken in nine populations of Athyrium distentifolium using nine genomic and 10 expressed sequence tag (EST) microsatellite (SSR) loci, and 265 amplified fragment length polymorphism (AFLP) loci from two primer combinations. In range-wide comparisons (European vs. North American populations), the EST-SSR loci showed more reliable amplification and produced more easily scorable bands than genomic simple sequence repeats (SSRs). Genomic SSRs showed significantly higher levels of allelic diversity than EST-SSRs, but there was a significant correlation in the rank order of population diversities revealed by both marker types. When AFLPs, genomic SSRs, and EST-SSRs are considered, comparisons of different population diversity metrics/markers revealed a mixture of significant and nonsignificant rank-order correlations. However, no hard incongruence was detected (in no pairwise comparison of populations did different marker systems or metrics detect opposingly significant different amounts of variation). Comparable population pairwise estimates of F(ST) were obtained for all marker types, but whilst absolute values for genomic and EST-SSRs were very similar (F(ST) = 0.355 and 0.342, respectively), differentiation was consistently higher for AFLPs in pairwise and global comparisons (global AFLP F(ST) = 0.496). The two AFLP primer combinations outperformed 18 SSR loci in assignment tests and discriminatory power in phenetic cluster analyses. The results from marker comparisons on A. distentifolium are discussed in the context of the few other studies on natural plant populations comparing microsatellite and AFLP variability.     

Cotton genome mapping with new microsatellites from Acala ‘Maxxa’ BAC-ends

Fine mapping and positional cloning will eventually improve with the anchoring of additional markers derived from genomic clones such as BACs. From 2,603 new BAC-end genomic sequences from Gossypium hirsutum Acala ‘Maxxa’, 1,316 PCR primer pairs (designated as MUSB) were designed to flank microsatellite or simple sequence repeat motif sequences. Most (1164 or 88%) MUSB primer pairs successfully amplified DNA from three species of cotton with an average of three amplicons per marker and 365 markers (21%) were polymorphic between G. hirsutum and G. barbadense. An interspecific RIL population developed from the above two entries was used to map 433 marker loci and 46 linkage groups with a genetic distance of 2,126.3 cM covering approximately 45% of the cotton genome and an average distance between two loci of 4.9 cM. Based on genome-specific chromosomes identified in G. hirsutum tetraploid (A and D), 56.9% of the coverage was located on the A subgenome while 39.7% was assigned to the D subgenome in the genetic map, suggesting that the A subgenome may be more polymorphic and recombinationally active than originally thought. The linkage groups were assigned to 23 of the 26 chromosomes. This is the first genetic map in which the linkage groups A01 and A02/D03 have been assigned to specific chromosomes. In addition the MUSB-derived markers from BAC-end sequences markers allows fine genetic and QTL mapping of important traits and for the first time provides reconciliation of the genetic and physical maps. Limited QTL analyses suggested that loci on chromosomes 2, 3, 12, 15 and 18 may affect variation in fiber quality traits. The original BAC clones containing the newly mapped MUSB that tag the QTLs provide critical DNA regions for the discovery of gene sequences involved in biological processes such as fiber development and pest resistance in cotton. Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.