中国主要花生品种品质性状关联分析

以来自全国的136个花生主要育成品种及育种骨干亲本作为供试群体,测定其蛋白质含量、脂肪及油酸含量等性状。选用64个均匀分布在复合遗传图谱不同遗传连锁群上多态性较好的SSR标记进行多位点扫描。通过标记的基因型值,利用Structure软件对群体进行结构划分并得到结构划分的矫正Q值,采用Tassel 软件中GLM（Q）方法将供试花生品种连续3年的品质性状与SSR标记进行关联分析。结果表明：①依据基因型数据对材料群的结构划分,供试群体最终可被划分为5个亚群,依据群体特点和结构分析可以表明供试的花生材料是适合关联分析的;②通过关联分析,共发掘与2010年、2011年、2012年品质性状显著关联的SSR位点分别有18个、31个、26个;③通过综合分析,能够连续3年重复检测出与品质性状关联的SSR位点4个,共计等位变异位点40个。     

单核苷酸多态性在林木中的研究进展

摘要: 单核苷酸多态性(Single nucleotide polymorphisms, SNPs)是许多生物体最丰富的遗传变异形式。林木是重要的植物类群和陆地植物生态系统的重要组成部分, SNP作为新的分子标记已应用于松、杨、黄杉、桉和云杉等属的多个树种的遗传育种学研究, 获得了包括核苷酸多样性、连锁不平衡及群体结构等相关的遗传信息, 这些研究主要建立在对候选基因序列进行测序分析的基础上。基于SNP的关联遗传学分析或连锁不平衡(Linkage disequilibrium, LD)作图, 已成为研究林木复杂数量性状的理想工具, 对桉树和火炬松的关联遗传学研究发现, 多个基因内的SNP位点与不同的木材性状相关联。利用SNP标记对林木遗传参数的估算从不同程度上揭示了林木群体进化规律及其生态学意义。SNP标记在林木中应用的不断深入, 必将极大地推动林木遗传育种学研究的发展。     

梨分子遗传图谱构建及生长性状的QTL分析

利用鸭梨和京白梨杂交得到的F1(145株)实生苗为作图群体,通过对AFLP和SSR两种分子标记的遗传连锁分析,应用Joinmap 3.0作图软件,368个AFLP标记、34个SSR标记构建了分属18个连锁群的梨分子遗传连锁图谱,各连锁群的LOD值在4.0～7.0范围之间,图谱总长度覆盖梨基因组1395.9cM,平均图距为3.8cM.采用区间作图法,对该群体与生长性状相关的调查数据进行QTL分析,检测到与新梢生长量、新梢茎粗、节间长度、节间数量、树干径、树高及皮孔密度7个农艺性状连锁的QTL位点35个,其中主效QTL位点11个(LOD≥3.5).与生长性状相关的农艺性状QTL位点多集中在LG16连锁群上.     

海岛棉(Gossypium barbadense L.)产量和早熟性状QTL定位

对海岛棉产量和早熟性状进行QTL初步定位,为分子标记辅助育种提供依据.利用5200多对SSR引物筛选海岛棉品种新海3号和Giza82间的多态性引物,获得107对.以多态性引物检测新海3号×Giza82的190个F2∶3家系,获得120个多态性位点.利用JoinMap3.0分析软件构建了一个包含22个连锁群,74个标记,标记间平均距离12.06cM,全长893cM,覆盖海岛棉基因组20.12％的分子标记遗传连锁图谱.采用复合区间作图法检测到21个与海岛棉产量性状和早熟性状有关的QTL,其中早熟性状检测到12个QTL,分别位于1、3、5、6、11、17、22共7个连锁群上;产量性状检测到9个QTL,分别位于1、4、5、6、7、16、22共7个连锁群上.研究结果为海岛棉产量性状和早熟性状的分子设计育种提供了有用的信息.     

关联分析及其在植物中的应用

关联分析是新近开始在植物数量性状研究和植物育种中应用的一种分析方法.它以连锁不平衡为基础鉴定某一群体内性状与遗传标记或候选基因间的关系,是对分子育种中QTL分析的补充和提高.本文在介绍连锁不平衡的定义和度量方法的基础上,讨论连锁不平衡程度和群体结构对关联分析的影响,综述了关联分析在植物方面的研究进展,并最后讨论了关联分析在植物数量性状和分子育种研究中可能的应用.     

海岛棉产量和早熟性相关性状的QTLs定位

对海岛棉产量和早熟性状进行QTL初步定位,为分子标记辅助育种提供依据。利用5200多对SSR引物筛选海岛棉品种新海3号和Giza82间的多态性引物,获得107对。以多态性引物检测新海3号×Giza82的190个F2:3家系,获得120个多态性位点。利用JoinMap3.0分析软件构建了一个包含22个连锁群,74个标记,标记间平均距离12.06 cM,全长893 cM,覆盖海岛棉基因组20.12%的分子标记遗传连锁图谱。采用复合区间作图法检测到21个与海岛棉产量性状和早熟性状有关的QTL,其中早熟性状检测到12个QTL,分别位于1、3、5、6、11、17、22共7个连锁群上;产量性状检测到9个QTL,分别位于1、4、5、6、7、16、22共7个连锁群上。研究结果为海岛棉产量性状和早熟性状的分子设计育种提供了有用的信息。     

柑桔BES SSR标记开发及连锁图延伸和加密

为了系统性地开发和拓展柑桔SSR标记,通过对公布的柑桔BAC文库末端序列(BAC-End sequence,BES)进行SSR分析,选择1500个SSR位点设计合成并检测323对引物。结果表明:(1)从总长度为28.1 Mb的46 339条序列中共检测出22 403个SSR位点,约每2条序列就会出现一个SSR位点,发生频率为48%,相当于平均1.25kb的序列中就会出现1个SSR,频率约为柑桔EST的2倍,且不同核心重复序列的SSR发生特点与EST也不同。(2)所合成的323对引物中,有效扩增316对,扩增率约98%,173对表现多态性,总多态性比率约55%,多态性引物中单核苷酸重复类型15对,双核苷酸重复类型100对,三核苷酸及以上重复类型58对,表明柑桔BES中具有较为丰富的多态性SSR标记。(3)结合已发表的遗传作图数据,对总计349个多态性位点进行遗传连锁分析,获得的新遗传连锁图谱共含有9个连锁群、334个SSR标记、总长844.2cM、平均图距2.53cM,延长和加密了先前的图谱。该研究开发的新SSR标记为开展柑桔遗传鉴定分析和遗传图谱构建提供了新的标记来源,加密的遗传图谱为柑桔的基因定位、图位克隆和标记辅助育种等奠定了基础,SSR分析结果也为其他物种SSR标记的开发提供了参考。     

应用关联分析鉴定大豆对斜纹夜蛾的抗性基因

用135个分布于全基因组的SSR（simple sequence repeat）标记分析196份大豆（Glycine max）地方品种的遗传变异、群体结构和连锁不平衡（linkage disequilibrium,LD）。在考虑群体结构的条件下,应用全基因组关联分析的方法鉴定与大豆抗斜纹夜蛾有关的数量性状位点,进而发掘各关联位点的优异等位基因及代表性载体材料。结果表明：（1）该群体不仅地理起源广,而且遗传变异丰富;（2）在整个群体内,有17.9%的标记对处于显著的连锁不平衡,而且在相同染色体上标记对间连锁不平衡延伸的平均距离约为6.61cM（D＇〉0,P〈0.05）;（3）通过关联分析发现,有7个SSR标记分别与3个大豆抗斜纹夜蛾性状关联（P〈0.01）,其中4个位点对性状的变异解释率超过了10%,6个位点所在的连锁群上存在已报道的食叶性害虫抗性位点;（4）各位点等位基因的效应分析显示,幼虫重相关位点的等位基因主要表现为减效作用,等位基因Sat_334-A208减效作用最大（43.9%）;单虫食叶量和蛹重相关位点的等位基因主要表现为增效作用;等位基因Satt199-A186对单虫食叶量增效作用最大（36.4%）;等位基因Sat_320-A286对蛹重增效作用最大（31.4%）。     

RAPD和SSR两种标记构建的中国对虾遗传连锁图谱

利用RAPD和SSR分子标记结合拟测交策略,对中国对虾(Fenneropenaeuschinensis)“黄海1号”雌虾与野生雄虾作为亲本进行单对杂交产生的F1代,采用RAPD和SSR两种分子标记技术初步构建了中国对虾雌、雄遗传连锁图谱。对460个RAPD引物和44对SSR引物进行筛选,共选出61个RAPD引物和20对SSR引物,用于对父母本和82个F1个体进行遗传分析。共得到母本分离标记146个(RAPD标记128个,微卫星标记18个)和父本分离标记127个(RAPD标记109个,微卫星标记18个)。雌性图谱包括8个连锁群、9个三联体和14个连锁对,标记间平均间隔为11·28cM,图谱共覆盖1173cM,覆盖率为59·36%;雄性图谱包括10个连锁群、12个三联体和7个连锁对,标记间平均间隔为12·05cM,图谱共覆盖1144·6cM,覆盖率为62·01%。中国对虾遗传图谱的构建为其分子标记辅助育种、比较基因组作图及数量性状位点的定位与克隆奠定了基础。     

南瓜遗传连锁图谱的构建及粒宽性状的QTL定位

以印度南瓜纯系大粒材料‘0515-1’和小粒材料‘0460-1-1’为亲本,获得193个南瓜F2单株群体,应用AFLP和SSR分子标记技术进行多态性筛选,构建了含84个标记位点的遗传连锁图谱。结果表明,整个图谱包含12个连锁群,全长683.50cM,标记平均间距为8.13cM。采用复合区间定位分析,共检测到控制南瓜籽粒宽度的4个数量性状位点(QTL),分别位于3个连锁群上,各QTL的贡献率在2.87%～29.68%之间。     

Association mapping of agronomic traits on chromosome 2A of wheat

Association mapping is a method to test the association between molecular markers and quantitative trait loci (QTL) based on linkage disequilibrium (LD). In this study, the collection of 108 wheat germplasm accessions form China were evaluated for their plant heights, spike length, spikelets per spike, grains per spike, thousand kernel weight and spikelets density in 3 years at three locations. And they were genotyped with 85 SSR markers and 40 EST-SSR markers. The population structure was inferred on the basis of unlinked 48 SSR markers and 40 EST-SSR markers. The extent of LD on chromosome 2A was 2.3 cM. Association of 37 SSR loci on chromosomes 2A with six agronomic traits was analysed with a mixed linear model. A total of 14 SSR loci were significantly associated with agronomic traits. Some of the associated markers were located in the QTL region detected in previous linkage mapping analysis. Our results demonstrated that association mapping can enhance QTL information and achieves higher resolution with short LD extent.     

Population structure and genetic diversity in a rice core collection (Oryza sativa L.) investigated with SSR markers

The assessment of genetic diversity and population structure of a core collection would benefit to make use of these germplasm as well as applying them in association mapping. The objective of this study were to (1) examine the population structure of a rice core collection; (2) investigate the genetic diversity within and among subgroups of the rice core collection; (3) identify the extent of linkage disequilibrium (LD) of the rice core collection. A rice core collection consisting of 150 varieties which was established from 2260 varieties of Ting's collection of rice germplasm were genotyped with 274 SSR markers and used in this study. Two distinct subgroups (i.e. SG 1 and SG 2) were detected within the entire population by different statistical methods, which is in accordance with the differentiation of indica and japonica rice. MCLUST analysis might be an alternative method to STRUCTURE for population structure analysis. A percentage of 26% of the total markers could detect the population structure as the whole SSR marker set did with similar precision. Gene diversity and MRD between the two subspecies varied considerably across the genome, which might be used to identify candidate genes for the traits under domestication and artificial selection of indica and japonica rice. The percentage of SSR loci pairs in significant (P<0.05) LD is 46.8% in the entire population and the ratio of linked to unlinked loci pairs in LD is 1.06. Across the entire population as well as the subgroups and sub-subgroups, LD decays with genetic distance, indicating that linkage is one main cause of LD. The results of this study would provide valuable information for association mapping using the rice core collection in future.     

Use of morphological traits and microsatellite markers to characterize the Tunisian cultivated and wild figs (Ficus carica L.)

We used 8 morphological traits and 17 simple sequence repeats loci to characterize 71 cultivated and wild Tunisian fig trees (Ficus carica L.). Significant morphological differences were inferred from leaf traits. The statistical analysis showed two major fig groups that indicated a common morphological basis. A total of 74 SSR alleles was revealed, defining 63 unique multilocus genotypes indicating a substantial genetic diversity. Based on multilocus SSR genotypes an identification key was established using MFC30, MFC3, MFC11 and MFC19 loci to identify figs. Analysis of variance components of linkage disequilibrium shown that among 136 pairs of loci, 32 present a significant gametic disequilibrium. The parameter D′²_IS (0.1284) was greater than D′²_ST (0.0079), a pointer of close to zero variance in total simple, and consequently the more pronounced independence of the 17 SSR loci. The majority of Ohta's variance components of linkage disequilibrium followed a pattern caused by genetic drift or a non-systematic disequilibrium profiles and natural selection occurs only for LMFC24-MFC8 pair loci in cultivated figs. Our results suggest that the morphological and SSR markers are suitable to characterize figs and should be recommended in conservation management strategy.     

Identification of single nucleotide polymorphisms and haplotypes associated with yield and yield components in soybean (<Emphasis Type="Italic">Glycine max</Emphasis>) landraces across multiple environments

Genome-wide association analysis is a powerful approach to identify the causal genetic polymorphisms underlying complex traits. In this study, we evaluated a population of 191 soybean landraces in five environments to detect molecular markers associated with soybean yield and its components using 1,536 single-nucleotide polymorphisms (SNPs) and 209 haplotypes. The analysis revealed that abundant phenotypic and genetic diversity existed in the studied population. This soybean population could be divided into two subpopulations and no or weak relatedness was detected between pair-wise landraces. The level of intra-chromosomal linkage disequilibrium was about 500 kb. Genome-wide association analysis based on the unified mixed model identified 19 SNPs and 5 haplotypes associated with soybean yield and yield components in three or more environments. Nine markers were found co-associated with two or more traits. Many markers were located in or close to previously reported quantitative trait loci mapped by linkage analysis. The SNPs and haplotypes identified in this study will help to further understand the genetic basis of soybean yield and its components, and may facilitate future high-yield breeding by marker-assisted selection in soybean.     

Identification of Associated SSR Markers for Yield Component and Fiber Quality Traits Based on Frame Map and Upland Cotton Collections

Detecting QTLs (quantitative trait loci) that enhance cotton yield and fiber quality traits and accelerate breeding has been the focus of many cotton breeders. In the present study, 359 SSR (simple sequence repeat) markers were used for the association mapping of 241 Upland cotton collections. A total of 333 markers, representing 733 polymorphic loci, were detected. The average linkage disequilibrium (LD) decay distances were 8.58 cM (r² > 0.1) and 5.76 cM (r² > 0.2). 241 collections were arranged into two subgroups using STRUCTURE software. Mixed linear modeling (MLM) methods (with population structure (Q) and relative kinship matrix (K)) were applied to analyze four phenotypic datasets obtained from four environments (two different locations and two years). Forty-six markers associated with the number of bolls per plant (NB), boll weight (BW), lint percentage (LP), fiber length (FL), fiber strength (FS) and fiber micornaire value (FM) were repeatedly detected in at least two environments. Of 46 associated markers, 32 were identified as new association markers, and 14 had been previously reported in the literature. Nine association markers were near QTLs (at a distance of less than 1–2 LD decay on the reference map) that had been previously described. These results provide new useful markers for marker-assisted selection in breeding programs and new insights for understanding the genetic basis of Upland cotton yields and fiber quality traits at the whole-genome level.     

QTL mapping of yield and fiber traits based on a four-way cross population in <Emphasis Type="Italic">Gossypium hirsutum</Emphasis> L.

Four-way cross (4WC) involving four different inbred lines frequently appears in the cotton breeding programs. However, linkage analysis and quantitative trait loci (QTL) mapping with molecular markers in cotton has largely been applied to populations derived from a cross between two inbred lines, and few results of QTL dissection were conducted in a 4WC population. In this study, an attempt was made to construct a linkage map and identify QTL for yield and fiber quality traits in 4WC derived from four different inbred lines in Gossypium hirsutum L. A linkage map was constructed with 285 SSR loci and one morphological locus, covering 2113.3 cM, approximately 42% of the total recombination length of the cotton genome. A total of 31 QTL with 5.1–25.8% of the total phenotypic variance explained were detected. Twenty-four common QTL across environments showed high stability, and six QTL were environment-specific. Several genomic segments affecting multiple traits were identified. The advantage of QTL mapping using a 4WC were discussed. This study presents the first example of QTL mapping using a 4WC population in upland cotton. The results presented here will enhance the understanding of the genetic basis of yield and fiber quality traits and enable further marker-assisted selection in cultivar populations in upland cotton.     

四倍体栽培棉种产量和纤维品质性状的QTL定位

陆地棉和海岛棉是两个不同的四倍体栽培种 ,但在生产上各有其特点 ,陆地棉丰产性强 ,海岛棉纤维品质优良 ,利用其种间杂交群体定位产量和品质性状的QTL ,对于分子标记辅助的海岛棉优质纤维向陆地棉转移很有意义。以SSR和RAPD为分子标记 ,陆地棉与海岛棉杂种 (邯郸 2 0 8×Pima90 )F2 群体为作图群体 ,构建了一张含 12 6个标记的遗传图谱 ,包括 6 8个SSR标记和 5 8个RAPD标记 ,可分为 2 9个连锁群 ,标记间平均距离为 13 7cM ,总长1717 0cM ,覆盖棉花总基因组约 34 34% ;以遗传图 12 6个标记为基础 ,对F2 :3 家系符合正态分布的 10个农艺性状及纤维品质性状进行全基因组QTL扫描 ,结果发现 2 9个QTL分别与产量和品质性状有关。其中与衣指、籽指、皮棉产量、子棉产量、衣分等产量性状相关的QTL分别有 1、3、5、6和 1个 ,与纤维长度、整齐度、强度、伸长率和马克隆值等品质性状相关的QTL分别有 2、4、2、4和 1个。各QTL解释的变异量在 12 4 2 %～ 47 0 1%之间。其中比强度有关的 2个QTL能够解释的表型变异率分别为 34 15 %和 13 86 %。     

Mapping QTLs for root morphological traits inBrassica rapa L. based on AFLP and RAPD markers

Root growth and thickening plays a key role in the final productivity and even the quality of storage roots in root crops. This study was conducted to identify and map quantitative trait loci (QTLs) affecting root morphological traits in Brassica rapa by using molecular markers. An F2 population was developed from a cross between Chinese cabbage (Brassica rapa ssp. chinensis) and turnip (B. rapa ssp. rapifera), which differed greatly in root characters. A genetic map covering 1837.1 cM, with 192 marker loci and 11 linkage groups, was constructed by using this F2 population. The F3 families derived from F2 plants were grown in the field and evaluated for taproot traits (thickness, length, and weight). QTL analysis via simple interval mapping detected 18 QTLs for the 3 root traits, including 7 QTLs for taproot thickness, 5 QTLs for taproot length, and 6 QTLs for taproot weight. Individually, the QTLs accounted for 8.4-27.4% of the phenotypic variation. The 2 major QTLs, qTRT4b for taproot thickness and qTRW4 for taproot weight, explained 27.4% and 24.8% of the total phenotypic variance, respectively. The QTLs for root traits, firstly detected in Brassica crops, may provide a basis for marker-assisted selection to improve productivity in root-crop breeding.     

A genetic map constructed using a doubled haploid population derived from two elite Chinese common wheat varieties

Genetic mapping provides a powerful tool for the analysis of quantitative trait loci (QTLs) at the genomic level.Herein,we report a new genetic linkage map developed from an F1-derived doubled haploid (DH) population of 168 lines,which was generated from the cross between two elite Chinese common wheat (Triticum aestivum L.) varieties,Huapei 3 and Yumai 57.The map contained 305 loci,represented by 283 simple sequence repeat (SSR) and 22 expressed sequence tag (EST)-SSR markers,which covered a total length of 2141.7 cM with an average distance of 7.02 cM between adjacent markers on the map.The chromosomal locations and map positions of 22 new SSR markers were determined,and were found to distribute on 14 linkage groups.Twenty SSR loci showed different chromosomal locations from those reported in other maps.Therefore,this map offers new information on the SSR markers of wheat.This genetic map provides new opportunities to detect and map QTLs controlling agronomically important traits.The unique features of this map are discussed.     

Genetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China

The genetic diversity, population structure, and linkage disequilibrium (LD) of peaches are greatly important in genome-wide association mapping. In the current study, 104 peach landrace accessions from six Chinese geographical regions were evaluated for fruit and phenological period. The accessions were genotyped with 53 genome-wide simple sequence repeat (SSR) markers. All SSR markers were highly polymorphic across the accessions, and a total of 340 alleles were detected, including 59 private alleles. Of the six regions studied, the northern part of China as well as the middle and lower reaches of the Changjiang River were found to be the most highly diverse genetically. Based on population structure analysis, the peaches were divided into five groups, which well agreed with the geographical distribution. Of the SSR pairs in these accessions, 18.07% (P?<?0.05) were in LD. The mean r ² value for all intrachromosomal loci pairs was 0.0149, and LD decayed at 6.01?cM. The general linear model was used to calculate the genome-wide marker-trait associations of 10 complex traits. The traits include flesh color around the stone, red pigment in the flesh, flesh texture, flesh adhesion, flesh firmness, fruit weight, chilling requirement, flowering time, ripening time, and fruit development period. These traits were estimated by analyzing the 104 landraces. Many of the associated markers were located in regions where quantitative trait loci (QTLs) were previously identified. Peach association mapping is an effective approach for identifying QTLs and may be an alternative to QTL mapping based on crosses between different lines.