Phylogenetic Relationships in Genus Arachis Based on SSR and AFLP Markers

Fourteen wild species of different sections in the genus Arachis and 24 accessions of the AABB allotetraploid A. hypogaea （cultivated peanut） from several countries which belong to different botanical varieties, were analyzed by SSR and AFLP marker systems. The assay-units per system needed to distinguish among all the tested accessions were at least five for SSR or two for AFLP. The genetic distance detected by the SSR markers ranged from 0.09 to 0.95, and the mean was 0.73; and the genetic distance detected by the AFLP markers ranged from 0.01 to 0.79 with an average of 0.42. All the tested peanut SSR primer pairs were multilocus ones, and the amplified fragments per SSR marker in each peanut genome ranged from 2 to 15 with the mean of 4.77. The peanut cultivars were closely related to each other, and shared a large numbers of SSR and AFLP fragments. In contrast, the species in the genus Arachis shared few fragments. The results indicated that the cultivated peanut （A. hypogaea L.） varieties could be partitioned into two main groups and four subgroups at the molecular level, and that A. duranensis is one of the wild ancestors of A. hypogaea. The lowest genetic variation was detected between A. cardenasii and A. batizocoi, and the highest was detected between A. pintoi and the species in the section Arachis. The relationships among the botanical varieties in the cultivated peanut （A. hypogaea L.） and among wild species accessions in section Arachis and those in other sections in the genus Arachis were discussed.     

Intron-Targeted Intron-Exon Splice Conjunction （IT-ISJ） Marker and Its Application in Construction of Upland Cotton Linkage Map

To develop a new DNA maker, which could be used in genetic diversity analysis and genetic map construction in plants, IT-ISJ （intron targeted intron-exon splice junction） primer combinations, which were designed according to the intronexon splice junction conserved sequences, were used to construct cotton genetic linkage map in the present study. 49 out of 704 IT-ISJ primer combinations showed polymorphism between upland cotton high quality cultivar Yumian 1 and multiple dominant gene line T586, and the polymorphic primer combinations accounted for 7.0% of total primer combinations. 49 IT-ISJ primer combinations were used to genotype 270 F2：7 recombinant inbred lines developed from （Yumian 1 × T586） F2, and 58 IT-ISJ loci were obtained. 58 IT-ISJ, together with 150 SSR and 8 morphological loci, were used to conduct linkage analysis, and a linkage map including 22 linkage groups and 113 loci （49 IT-ISJ, 62 SSR, and 2 morphological loci） was constructed. The linkage map covered 714.5 cM with an average interval of 6.3 cM between two markers, accounting for 16.1% of cotton genome. The present study demonstrated that the polymorphism of IT-ISJ marker is high, and it could be effectively applied in plant genetic map construction.     

QTL Mapping for Dough Mixing Characteristics in a Recombinant Inbred Population Derived from a Waxy×Strong Gluten Wheat （Triticum aestivum L.）

Protein and starch are the most important traits in determining processing quality in wheat. In order to understand the genetic basis of the influence of Waxy protein (Wx) and high molecular weight gluten subunit (HMW-GS) on processing quality, 256 recombinant inbred lines (RILs) derived from the cross of waxy wheat Nuomai 1 and Gaocheng 8901 were used as mapping population. DArT (diversity arrays technology), SSR (simple sequence repeat), HMW-GS, and Wx markers were used to construct the molecular genetic linkage map. QTLs for mixing peak time (MPT), mixing peak value (MPV), mixing peak width (MPW), and mixing peak integral (MPI) of Mixograph parameters were evaluated in three different environments. The genetic map comprised 498 markers, including 479 DArT, 14 SSR, 2 HMW-GS, and 3 Wx protein markers, covering 4 229.7 cM with an average distance of 9.77 cM. These markers were identified on 21 chromosomes. Eighteen additive QTLs were detected in three different environments, which were distributed on chromosomes 1A, 1B, 1D, 4A, 6A, and 7D. QMPT-1D.1 and QMPT-1D.2 were close to the Glu-D1 marker accounting for 35.2, 22.22 and 36.57% of the phenotypic variance in three environments, respectively. QMPV-1D and QMPV-4A were detected in all environments, and QMPV-4A was the nearest to Wx-B1. One minor QTL, QMPI-1A, was detected under three environments with the genetic distances of 0.9 cM from the nearest marker Glu-A1, explaining from 5.31 to 6.67% of the phenotypic variance. Three pairs of epistatic QTLs were identified on chromosomes 2D and 4A. Therefore, this genetic map is very important and useful for quality trait related QTL mapping in wheat. In addition, the finding of several major QTLs, based on the genetic analyses, further suggested the importance of Glu-1 loci on dough mixing characteristics.     

QTL Analysis of the Oil Content and the Hull Content in Brassica napus L.

The QTLs of the oil content and the hull content were analyzed in Brassica napus L. By constructing the linkage map. The F26 RIL population with 188 lines, derived from the cross of GH06 × P147, was used as the mapping population. The SRAP, SSR, AFLP, and TRAP markers were used to construct the linkage map, and the composite interval mapping (CIM) to identify the quantitative trait loci associated with the oil content and the hull content. 300 markers were integrated into 19 linkage groups, covering 1 248.5 cM in total. Seven QTLs were found to be responsible for the oil content with the single contribution to phenotypic variance ranging from 3.73 to 10.46%; four QTLs were found for the hull content with the single contribution to phenotypic variance ranging from 4.89 to 6.84%. The yellow-seeded Brassica napus L. Has the advantage of higher oil content and the hull content has a significant effect on the oil content. In addition, the SRAP marker is good for detecting QTL.     

Molecular Diversity and Association Analysis of Drought and Salt Tolerance in Gossypium hirsutum L. Germplasm

Association mapping is a useful tool for the detection of genes selected during plant domestication based on their linkage disequilibrium（LD）. This study was carried out to estimate genetic diversity, population structure and the extent of LD to develop an association framework in order to identify genetic variations associated with drought and salt tolerance traits. 106 microsatellite marker primer pairs were used in 323 Gossypium hirsutum germplasms which were grown in the drought shed and salt pond for evaluation. Polymorphism（PIC=0.53） was found, and three groups were detected（K=3） with the second likelihood ΔK using STRUCTURE software. LD decay rates were estimated to be 13-15 cM at r2 0.20. Significant associations between polymorphic markers and drought and salt tolerance traits were observed using the general linear model（GLM） and mixed linear model（MLM）（P 0.01）. The results also demonstrated that association mapping within the population structure as well as stratification existing in cotton germplasm resources could complement and enhance quantitative trait loci（QTLs） information for marker-assisted selection.     

Conditional QTL Mapping of Sedimentation Volume on Seven Quality Traits in Common Wheat

To evaluate the possible genetic interrelationships between flour components and the sedimentation volume（SD）,a doubled haploid（DH） population comprising 168 lines were used to identify the conditional quantitative trait loci（QTLs） for SD in three environments.Ten additive QTLs and 15 pairs of epistatic QTLs were detected for SD through unconditional and conditional QTL mapping.Three major additive QTLs were detected for SD conditioned on the seven quality traits.Two additive QTLs were found to be independent of these traits.Three additive QTLs were suppressed by three of the seven traits because of non-detection in unconditional mapping.Three pairs of epistatic QTLs were completely affected by the seven traits because of detection in unconditional mapping but no-detection in conditional mapping.Twelve pairs of epistatic QTLs were detected in conditional mapping.Our results indicated that conditional mapping could contribute to a better understanding of the interdependence of different and closely correlated traits at the QTL molecular level,especially some minor QTLs were found.The conditional mapping approach provides new insights that will make it possible to avoid the disadvantages of different traits by breeding through molecular design.     

QTL Detection and Epistasis Analysis for Heading Date Using Single Segment Substitution Lines in Rice （Oryza sativa L.）

Heading date of rice is a key agronomic trait determining cultivated areas and seasons and affecting yield. In the present study, ifve primary single segment substitution lines with the same genetic background were used to detect quantitative trait loci （QTLs） for heading date in rice. Two QTLs, qHD3 and qHD6 on the short arm of chromosome 3 and the short arm of chromosome 6, respectively, were identiifed under natural long-day （NLD）. Nineteen secondary single segment substitution lines （SSSLs） and seven double segments pyramiding lines were designed to map the two QTLs and to evaluate their epistatic interaction between them. By overlapping mapping, qHD3 was mapped in a 791-kb interval between SSR markers RM3894 and RM569 and qHD6 in a 1 125-kb interval between RM587 and RM225. Results revealed the existence of epistatic interaction between qHD3 and qHD6 under natural long-day （NLD）. It was also found that qHD3 and qHD6 had signiifcant effects on plant height and yield traits, indicating that both of the QTLs have pleiotropic effects.     

Bulked Segregant Analysis to Detect QTL Related to Heat Tolerance in Rice （Oryza sativa L.） Using SSR Markers

The study was undertaken to assess the genetic effect of quantitative trait loci （QTLs） conferring heat tolerance at flowering stage in rice. A population consisting of 279 F2 individuals from the cross between 996, a heat tolerant cultivar and 4628, a heat-sensitive cultivar, was analyzed for their segregation pattern of the difference of seed set rate under optimal temperature condition and high temperature condition. The difference of seed set rate under optimal temperature condition and high temperature condition showed normal distribution, indicating the polygenic control over the trait. To identify main effect of QTL for heat tolerance, the parents were surveyed with 200 primer pairs of simple sequence repeats （SSR）. The parental survey revealed 30% polymorphism between parents. In order to detect the main QTL association with heat tolerance, a strategy of combining the DNA pooling from selected segregants and genotyping was adopted. The association of putative markers identified based on DNA pooling from selected segregants was established by single marker analysis （SMA）. The results of SMA revealed that SSR markers, RM3735 on chromosome 4 and RM3586 on chromosome 3 showed significant association with heat tolerance respectively, accounted for 17 and 3% of the total variation respectively. The heat tolerance during flowering stage in rice was controlled by multiple gene. The SSR markers, RM3735 on chromosome 4 and RM3586 on chromosome 3 showed significant association with heat tolerance respectively, accounted for 17 and 3% of the total variation respectively. The two genetic loci, especially for RM3735 on chromosome 4, can be used in marker-assistant-selected method in heat tolerance breeding in rice.     

Development of SSR Markers for a Phytopathogenic Fungus,Blumeria graminis f.sp.tritici,Using a FIASCO Protocol

Simple sequence repeats （SSR） have been widely used as molecular markers due to their abundance and high polymorphism, However, up to now, the SSR markers had not been developed in the obligate biotrophic phytopathogenic fungus, Blumeria graminis f.sp. tritici. From （AC）10 and （AG）10 enriched genomic libraries for Bgt, 25 primer pairs were designed using the FIASCO （fast isolation by AFLP of sequences containing repeats） protocol. Five primer pairs exhibited polymorphism with allelic diversity from two to seven alleles and produced 29 alleles in a survey of 90 isolates collected from six provinces （cities） in China, while the others displayed monomorphic. Levels of observed heterozygosity ranged from 0.000-0.044 （mean 0.025） and expected heterozygosity ranged from 0.297-0.816 （mean 0.538）. These molecular markers provide a novel source to genetic diversity assays and to genetic and physical mapping ofBgt. SSR markers of Bgt need to be further explored.     

A genetic linkage map with 178 SSR and 1901 SNP markers constructed using a RIL population in wheat (Triticum aestivum L.)

The construction of high density genetic linkage map provides a powerful tool to detect and map quantitative trait loci(QTLs) controlling agronomically important traits. In this study, simple sequence repeat(SSR) markers and Illumina 9K i Select single nucleotide polymorphism(SNP) genechip were employed to construct one genetic linkage map of common wheat(Triticum aestivum L.) using 191 recombinant inbred lines(RILs) derived from cross Yu 8679×Jing 411. This map included 1 901 SNP loci and 178 SSR loci, covering 1 659.9 c M and 1 000 marker bins, with an average interval distance of 1.66 c M. A, B and D genomes covered 719.1, 703.5 and 237.3 c M, with an average interval distance of 1.66, 1.45 and 2.9 c M, respectively. Notably, the genetic linkage map covered 20 chromosomes, with the exception of chromosome 5D. Bioinformatics analysis revealed that 1 754(92.27%) of 1 901 mapped SNP loci could be aligned to 1 215 distinct wheat unigenes, among which 1 184(97.4%) were located on o ne single chromosome, and the rest 31(2.6%) were located on 2 to 3 chromosomes. By performing in silico comparison, 214 chromosome deletion bin-mapped expressed sequence tags(ESTs), 1 043 Brachypodium genes and 1 033 rice genes were further added onto the genetic linkage map. This map not only integrated genetic and physical maps, SSR and SNP loci, respectively, but also provided the information of Brachypodium and rice genes corresponding to 1 754 SNP loci. Therefore, it will be a useful tool for comparative genomics analysis, fine mapping of QTL/gene controlling agronomically important traits and marker-assisted selection breeding in wheat.     

Construction of Genetic Linkage Map Based on SSR Markers in Peanut(Arachis hypogaea L.)

Molecular genetic maps of crop species can be used in a variety of ways in breeding and genomic research such as identification and mapping of genes and quantitative trait loci (QTLs) for morphological, physiological and economic traits of crop species. However, a comprehensive genetic linkage map for cultivated peanut has not yet been developed due to the extremely low frequency of DNA polymorphism in cultivated peanut. In this study, 142 recombinant inbred lines (RILs) derived from a cross between Yueyou 13 and Zhenzhuhei were used as mapping population in peanut (Arachis hypogaea L.). A total 652 pairs of genomic-SSR primer and 392 pairs of EST-SSR primer were used to detect the polymorphisms between the two parents. 141 SSR primer pairs, 127 genomic-SSR and 14 EST-SSR ones, which can be used to detect polymorphisms between the two parents, were selected to analyze the RILs population. Thus, a linkage genetic map which consists of 131 SSR loci in 20 linkage groups, with a coverage of 679 cM and an average of 6.12 cM of inter-maker distance was constructed. The putative functions of 12 EST-SSR markers located on the map were analyzed. Eleven showed homology to gene sequences deposited in GenBank. This is the first report of construction of a comprehensive genetic map with SSR markers in peanut (Arachis hypogaea L.). The map presented here will provide a genetic framework for mapping the qualitative and quantitative trait in peanut.     

小豆SSR分子标记遗传连锁图谱构建

【目的】以小豆SSR为锚定标记,将公开发表的豇豆SSR、普通菜豆SSR和EST-SSR标记定位整合到小豆遗传连锁群中,构建中国小豆遗传图谱,为小豆基因定位、图位克隆和分子标记辅助选择育种提供更多可用的分子标记。【方法】用1 473对SSR和EST-SSR引物进行PCR扩增,包括906对豇豆SSR、123对普通菜豆和196对小豆SSR引物及248对普通菜豆EST-SSR引物,筛选亲本间多态性标记,验证栽培小豆HB801×AG109及GM892×AG110的F2分离群体。【结果】整合和构建了含有145个SSR和EST-SSR标记小豆遗传连锁图谱,包括59个小豆SSR标记,新增63个豇豆SSR、9个普通菜豆SSR、14个普通菜豆EST-SSR标记和1个茎色标记。紫茎色性状被定位在第9连锁群,离CEDG022和cbess058标记的遗传距离分别为0.9 cM和0.1 cM。图谱全长823 cM,覆盖11个连锁群,每个标记间平均距离为5.64 cM。每个连锁群长度为49.1—125.6 cM,平均长度74.82 cM;每条染色体上的标记数7—26个,平均13.27个。【结论】率先把小豆近缘物种分子标记引入小豆,加密了小豆SSR分子标记遗传连锁图谱。     

绿豆高密度分子遗传图谱的构建

【目的】在前期研究的基础上,进一步利用绿豆基因组SSR、EST-SSR、STS和普通菜豆基因组SSR等标记构建绿豆遗传连锁图谱,为绿豆重要性状相关基因的定位、克隆及分子标记辅助选育新品种等研究搭建技术平台。【方法】利用澳大利亚引进的Berken（高感豆象绿豆栽培种）× ACC41（高抗豆象绿豆野生种）及其重组自交系（recombinant inbreed line,RIL）群体,对6 686对引物进行PCR扩增及多态性筛选,包括6 100对绿豆基因组SSR、149对EST-SSR、13对STS和424对普通菜豆基因组SSR引物,将亲本间多态性引物,进一步分析重组自交系群体。结合前期研究的分子标记数据,利用Mapmarker/Exp 3.0软件构建遗传图谱,并设置LOD≥3.0,最大图距50.00 cM。用Joinmap 4.0软件进行图谱整合。【结果】用2个亲本共筛选了6 686对SSR引物,共有3 691对引物有稳定的扩增产物,得到有多态的引物有588对。其中,通过磁珠富集法开发的绿豆SSR引物6 100对,有效扩增3 459对,有效扩增率56.7%,得到多态性引物559对;通过转录组测序开发的绿豆MGCP引物149对,有效扩增126对,有效扩增率84.6%,得到多态性引物21对;通过磁珠富集法开发的菜豆SSR引物424对,有效扩增97对,有效扩增率22.9%,得到多态性引物6对;绿豆STS引物13对,有效扩增9对,有效扩增率69.2%,得到多态性引物2对。表明不同来源和种类的SSR引物在RIL群体亲本中的有效扩增率有明显差别,绿豆EST-SSR引物（84.6%）最高,绿豆STS引物（69.2%）和SSR引物（55.7%）次之,菜豆SSR引物（22.9%）最低。获得一张含有585个标记（499个SSR标记、74个RFLP标记、9个STS标记和3个RAPD标记）的绿豆遗传图谱,图谱总长732.9 cM,包括11个连锁群,每个标记间的平均距离为1.25 cM,平均长度为66.63 cM。每个连锁群长度为45.2-112.8 cM,每条染色体上面的标记数为35-92个,平均53.18个。标记位点数最多的连锁群LG1含92个标记,长度为112.8 cM;标记位点数最少的连锁群LG11仅含有35个标记,长度为48.7 cM。对图谱的585个标记位点进行χ2测验,在P＜0.05和P＜0.01条件下,分别有79个和151个标记表现为偏分离,占总标记位点数的39.3%。【结论】构建了一张目前国内外发表的标记数最多、密度最高的绿豆遗传连锁图谱。     

小麦RIL群体遗传连锁图谱的构建及其多态性分析

以普通小麦重组近交系(recombinant inbred lines,RIL)‘Q9086×陇鉴19’为作图群体,利用SSR标记构建小麦遗传连锁图谱.结果表明:通过选用2 187对SSR引物筛选出RIL群体双亲表现多态性的引物共405对,多态性频率为18.52%.不同类型SSR标记多态性频率从小到大依次为Xpsp(4.4%)相似文献   

SSR fingerprinting of 203 sweetpotato (Ipomoea batatas (L.) Lam.) varieties

Simple sequence repeat (SSR) markers have been shown to be a powerful tool for varieties identification in plants. However, SSR fingerprinting of sweetpotato varieties has been a little reported. In this study, a total of 1294 SSR primer pairs, including 1215 genomic-SSR and 79 expressed sequence tag (EST)-SSR primer pairs, were screened with sweetpotato varieties Zhengshu 20 and Luoxushu 8 and their 2 F₁ individuals randomly sampled, and 273 and 38 of them generated polymorphic bands, respectively. Four genomic-SSR and 3 EST-SSR primer pairs, which showed good polymorphism, were selected to amplify 203 sweetpotato varieties and gave a total of 172 bands, 85 (49.42%) of which were polymorphic. All of the 203 sweetpotato varieties showed unique fingerprint patterns, indicating the utility of SSR markers in variety identification of this crop. Polymorphism information content (PIC) ranged from 0.5824 to 0.9322 with an average of 0.8176. SSR-based genetic distances varied from 0.0118 to 0.6353 with an average of 0.3100 among these varieties. Thus, these sweetpotato varieties exhibited high levels of genetic similarity and had distinct fingerprint profiles. The SSR fingerprints of the 203 sweetpotato varieties have been successfully constructed. The highly polymorphic SSR primer pairs developed in this study have the potential to be used as core primer pairs for variety identification, genetic diversity assessment and linkage map construction in sweetpotato and other plants.     

玉米重组自交系群体遗传图谱的构建及标记

以黄早四和Mo 17为亲本,组建了含239份重组自交系的F9代分离群体.共选取了370对SSR引物用于亲本多态性筛选,结果有126对引物能扩增出清晰的多态性条带.用这些有多态性的引物进一步作群体分析,除有23对引物扩增效果较差外,其余引物在多态性、重复性方面均表现较好.最后,用该重组自交系群体构建了玉米分子标记遗传连锁图谱,该图谱拟合了103个分布于10个连锁群的微卫星标记位点,覆盖玉米整个基因组1 455.4 cM,标记间平均图距14.1 cM.     

基于SSR标记的四倍体鸭茅遗传图谱加密

【目的】利用转录组测序开发的EST-SSR标记和鸭茅基因组调研测序开发的基因组SSR（genomic-SSR）标记,对已构建的四倍体鸭茅遗传图谱加密,为定位控制鸭茅重要农艺性状的QTL位点奠定基础。【方法】基于拟测交策略,以“楷模”（高杆、多分蘖、宽叶、早熟）和“01436”（矮秆、少分蘖、细叶、晚熟）作为亲本材料进行杂交,得到一个含有214株鸭茅材料的作图群体,利用亲本和随机选取的5个单株对574对EST-SSR标记和150对Genomic-SSR进行引物筛选,PCR产物经8%非变性聚丙烯酰胺凝胶电泳检测后,将扩增条带清晰、在亲本之间存在差异且子代间存在分离的多态性引物用于亲本及群体扩增。将扩增结果按标记类型统计分析,对于亲本间存在差异的条带,按条带有无（有带计1,无带记0）对DNA扩增产物按进行统计,经卡方检验,将分离比例符合1﹕1（亲本基因型为Aaaa×aaaa或aaaa×Aaaa）和3﹕1（亲本基因型为Aaaa×Aaaa）的标记,用于遗传连锁图谱构建。符合作图要求的标记采用HighMap软件进行遗传图谱构建。【结果】最终筛选出符合要求的EST-SSR引物31对和Genomic-SSR引物17对,引物多态性分别为5.4%和11.3%,总的多态性为6.6%。对鸭茅214个作图群体单株及亲本DNA进行扩增,共得到169个多态性位点,其中EST-SSR101个,Genomic-SSR68个位点。169个标记位点经卡方检验分析表明,有89个标记符合孟德尔分离规律,标记可用率为52.7%,其中呈Aaaa×aaaa或aaaa×Aaaa分离类型的标记有79个,呈Aaaa×Aaaa的有10个,其余80个为偏分离标记。将SSR标记整合以前的标记信息,重新构建了一张包含2 551个标记,覆盖7个连锁群,总长度为758.4 cM的鸭茅高密度遗传图谱。加密后的图谱包含SNP标记4 187个,SSR标记84个,各连锁群标记数在166-709个,每个连锁群的平均标记数为364个,LG1包含最多标记数有709个,LG7标记数最少166个,各连锁群长度在60.28-147.09 cM,标记平均密度为0.19-0.76 cM,总的平均图距由原来的0.37 cM缩至0.3 cM,且由于标记密度的改变,各连锁群上标记分布的位置也发生较大变动。【结论】增加了部分SSR标记后,新构建了一张包含2 551个标记,覆盖7个连锁群总长度为758.4 cM的四倍体鸭茅遗传图谱,总长度增加42.63 cM,平均图距由0.37 cM缩至为0.3 cM。     

梨遗传连锁图谱的构建与比较分析

【目的】利用已公开发表的梨和苹果的SSR（Simple Sequence Repeat）引物以及从梨转录组开发的SSR引物构建本研究作图群体的遗传连锁图谱,为后期梨重要性状QTL定位和分子标记辅助选择等奠定基础。【方法】以西洋梨品种‘红茄’（Red Clapp Favorite）为母本,东方梨品种‘晚秀’（Mansoo）为父本,构建F1代作图群体。将所选用的SSR引物在亲本和4个子代个体进行PCR扩增,初步筛选出扩增结果符合JoinMap 4.0软件中“CP”作图模式要求的引物,随后在F1群体中检测,选用JoinMap 4.0软件对分离数据进行连锁分析,分别构建亲本的连锁图谱。以双亲图谱在各连锁群上的同源标记作为锚定位点,对双亲图谱进行整合。【结果】利用PCR技术对不同来源的共909对SSR引物（526对梨和283对苹果公开发表的SSR引物,从梨转录组开发的100对SSR引物）进行初步筛选后,发现来自苹果的SSR引物有效扩增片段的比例和多态性均较低,而来自梨和梨转录组开发的SSR引物相对较高。筛选出207对符合作图要求的SSR引物在群体中扩增,构建亲本的连锁图谱。母本图谱中的141个标记分布在17个连锁群上,总长度757.34 cM,标记间平均5.37 cM;父本图谱中的153个标记分布在19个连锁群上,总长度1 149.43 cM,标记间平均7.51 cM。【结论】对不同来源的SSR引物构建的双亲连锁图谱进行整合,最终得到一张由186个SSR标记,覆盖基因组长度1 125.33 cM的整合图谱。     

玉米遗传连锁图谱加密及粗缩病抗性QTL定位

[目的]加密玉米SSR遗传连锁图谱,对玉米粗缩病抗性QTL进行精确定位分析。[方法]以(80007×80044)F9∶10为作图群体,在实验室前期建立的SSR遗传图谱基础上,将检测到的新的87个标记加密到遗传图谱中,最终构建包括260个位点的遗传连锁图谱;同时将RIL群体衍生的195个F9∶10家系进行田间抗病性状鉴定,采用完备区间作图方法(ICIM)对玉米粗缩病抗性进行QTL的定位分析。[结果]图谱总长度1 170 cm,标记间平均距离4.50 cm;在济宁环境条件下定位到1个QTL,表型变异贡献率为9.57%,可作进一步的精细定位和克隆。[结论]该试验对玉米粗缩病抗性QTL进行了精确定位分析,为玉米SSR遗传连锁图谱研究提供了依据。