Construction of High Density Sweet Cherry (Prunus avium L.) Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS)

Linkage maps are valuable tools in genetic and genomic studies. For sweet cherry, linkage maps have been constructed using mainly microsatellite markers (SSRs) and, recently, using single nucleotide polymorphism markers (SNPs) from a cherry 6K SNP array. Genotyping-by-sequencing (GBS), a new methodology based on high-throughput sequencing, holds great promise for identification of high number of SNPs and construction of high density linkage maps. In this study, GBS was used to identify SNPs from an intra-specific sweet cherry cross. A total of 8,476 high quality SNPs were selected for mapping. The physical position for each SNP was determined using the peach genome, Peach v1.0, as reference, and a homogeneous distribution of markers along the eight peach scaffolds was obtained. On average, 65.6% of the SNPs were present in genic regions and 49.8% were located in exonic regions. In addition to the SNPs, a group of SSRs was also used for construction of linkage maps. Parental and consensus high density maps were constructed by genotyping 166 siblings from a ‘Rainier’ x ‘Rivedel’ (Ra x Ri) cross. Using Ra x Ri population, 462, 489 and 985 markers were mapped into eight linkage groups in ‘Rainier’, ‘Rivedel’ and the Ra x Ri map, respectively, with 80% of mapped SNPs located in genic regions. Obtained maps spanned 549.5, 582.6 and 731.3 cM for ‘Rainier’, ‘Rivedel’ and consensus maps, respectively, with an average distance of 1.2 cM between adjacent markers for both ‘Rainier’ and ‘Rivedel’ maps and of 0.7 cM for Ra x Ri map. High synteny and co-linearity was observed between obtained maps and with Peach v1.0. These new high density linkage maps provide valuable information on the sweet cherry genome, and serve as the basis for identification of QTLs and genes relevant for the breeding of the species.     

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.     

林木分子遗传图谱的构建

介绍了林木分遗传图谱构建中所使用的分离群体和分子标记,着重综述了国内外林木遗传图谱研究的现状,对已建立图谱的树种的作图情况作了较尽的总结。     

Construction of Genetic Linkage Maps and Comparative Genome Analysis of Catfish Using Gene-Associated Markers

A genetic linkage map of the channel catfish genome (N = 29) was constructed using EST-based microsatellite and single nucleotide polymorphism (SNP) markers in an interspecific reference family. A total of 413 microsatellites and 125 SNP markers were polymorphic in the reference family. Linkage analysis using JoinMap 4.0 allowed mapping of 331 markers (259 microsatellites and 72 SNPs) to 29 linkage groups. Each linkage group contained 3–18 markers. The largest linkage group contained 18 markers and spanned 131.2 cM, while the smallest linkage group contained 14 markers and spanned only 7.9 cM. The linkage map covered a genetic distance of 1811 cM with an average marker interval of 6.0 cM. Sex-specific maps were also constructed; the recombination rate for females was 1.6 times higher than that for males. Putative conserved syntenies between catfish and zebrafish, medaka, and Tetraodon were established, but the overall levels of genome rearrangements were high among the teleost genomes. This study represents a first-generation linkage map constructed by using EST-derived microsatellites and SNPs, laying a framework for large-scale comparative genome analysis in catfish. The conserved syntenies identified here between the catfish and the three model fish species should facilitate structural genome analysis and evolutionary studies, but more importantly should facilitate functional inference of catfish genes. Given that determination of gene functions is difficult in nonmodel species such as catfish, functional genome analysis will have to rely heavily on the establishment of orthologies from model species.     

Construction of Three High-Density Genetic Linkage Maps and Dynamic QTL Mapping of Growth Traits in Yellow River Carp (Cyprinus carpio haematopterus)

To provide the theoretical basis for researching growth, development, and molecular marker-assisted breeding of the economically important Yellow River carp (Cyprinus carpio haematopterus) using dynamic quantitative trait locus (QTL) mapping, we constructed three genetic linkage maps from 207 progeny using a new modified genotyping-by-sequencing method. The three maps contained 16,886, 16,548, and 7482 single nucleotide polymorphism markers, respectively, with an average interval of 0.36 cM, 0.45 cM, and 1.00 cM. We identified 148 QTLs related to four growth traits that were located on 25 chromosomes from three growth stages of Yellow River carp. A total of 32, 36, 43, and 37 QTLs were associated with body length, height, width, and weight, respectively. Among them, 47 QTLs were detected for only one growth trait in one stage, but all of the other QTLs were co-localized. Of the 14 main QTLs, 13 were located on chromosome 12, which suggests the presence of growth-related genes on this chromosome. We then detected 17 candidate genes within 50 K upstream and downstream of the 14 main QTLs. This is the first report of the dynamic QTL mapping of growth traits of Yellow River carp, and the results can be used in future studies of growth, development, and molecular-assisted breeding of this species.     

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。     

F2breed,a New Program for Construction of Genetic Linkage Maps

This paper presents a new program F2breed for Windows and Linux operating systems, which was designed for estimation of recombination frequency between the genetic loci and construction of genetic maps based on the analysis of inheritance in a F2 population. The program implements the approach of the orientation of n points corresponding to n analyzed loci in the (n–1)-dimensional space for relative arrangement of the loci on the genetic map by consideration of various projections of this structure. The program is characterized by a convenient, intuitive interface, is easy to operate, and is suitable for working with small groups of loci (up to 100).     

玉米RFLP连锁图谱构建及大斑病QTL定位

玉米大斑病菌存在有生理小种分化的现象,目前5个已定名的生理小种在我国均已发现,还有一些尚未定位名的新类群也出出现,提高玉米对大斑病的抗性,只有提高数量抗性才能达到目的,为了弄清楚玉米对大斑病数量抗性的基因数目及效效应,利用抗病自交5系P138和感病自交系缩3为亲本构建了F2：3家系群体,采用RFLP标记构建了包含了124个标记的玉米RFLP连锁图,覆盖玉米基因组1999．8cM,标记间平均距离为16．5cM,定位了玉米大斑病的病斑长,病斑宽和病斑面积的QTL分别为3、3、2个,其联合贡献率分别为58．1％、71．5％和27．5％,没有检测到病斑数／叶的QTL,其表现为单基因或者寡基因控制的性状,研究结果增加了对玉米大斑病的认识,对玉米抗大斑病育种具有重要的指导意义。     

林木遗传图谱研究现状及发展趋势

林木具有世代长、高度杂合、遗传负荷大等遗传特性,使其遗传图谱研究不同于其他物种。高质量林木遗传图谱,可进行林木近缘树种比较图谱研究,了解林木的基因组结构和进化历程,进行有效QTL定位研究及开展林木复杂性状的标记辅助选择。目前林木作图存在着群体较小,构建的图谱和定位的QTL存在连锁平衡,以及作图策略未充分考虑林木的遗传学特性等问题。扩大作图群体、选择高度保守的标记系统以及研究适合林木作图的理论和方法将有助于林木基因组研究向纵深发展 。     

林木遗传图谱构建的研究进展

高密度分子遗传连锁图谱对分析植物遗传变异、标记目标性状、数量性状定位和分子辅助选择改良性状均具重要价值.由于林木具有世代长、高度杂合、遗传负荷大等遗传特性,使其遗传图谱研究不同于其他物种,其遗传连锁图谱的构建相对复杂.目前,一些林木的遗传连锁图谱已经产生.简要综述了林木遗传图谱研究现状和策略,并对构建高质量林木遗传图谱作了展望.     

用AFLP标记构建白桦遗传连锁图谱

用AFLP的方法分析中国白桦×欧洲白桦的78个F1个体,并按照拟测交作图策略,建立了中国白桦和欧洲白桦遗传连锁图谱。从群体的45对引物组合中分离出343个分离位点,χ^2检验表明,其中有311个符合1：1拟测交分离位点。在这些位点中168个来自中国白桦,143个来自欧洲白桦。软件分析表日月,中国白桦的168个位点构成9个连锁群,11个三联体和14个连锁对,55个为非连锁位点,连锁标记覆盖的总距离为1909．2cM,平均图距为16．9cM;来自欧洲白桦的143个位点构成12个连锁群,4个三联体和9个连锁对,21个为非连锁位点,连锁标记覆盖的总距离为1857．3cM,平均图距为15．2cM。     

大樱桃矮化砧木吉塞拉（Gisela）的微体繁殖

1　植物名称　大樱桃矮化砧木 (Ｐｒｕｎｕｓｃｅｒａｓｕｓ×Ｐ .ｃａｎｅｓｃｅｎｓ)吉塞拉 (Ｇｉｓｅｌａ) 5、6、7号。2　材料类别　休眠枝条。3　培养条件　ＭＳ为基本培养基。 ( 1 )丛生芽诱导培养基 :ＭＳ 6 ＢＡ 1ｍｇ·Ｌ- 1 (单位下同 ) ＩＢＡ0 .1。 ( 2 )继代增殖培养基 :ＭＳ 6 ＢＡ 0 .5 ＺＴ0 .1。 ( 3)生根培养基 :1 /2ＭＳ ＩＢＡ 0 .3。培养基中蔗糖为 3% ,琼脂为 0 .6% ,ｐＨ 5 .8,温度 2 5℃ ,每天光照 1 6ｈ ,光照度为 1 5 0 0ｌｘ。4　生长与分化情况4.1　无菌材料的获得　将外植体用洗衣粉溶液洗净表面 ,再以…     

Development and Evaluation of a Genome-Wide 6K SNP Array for Diploid Sweet Cherry and Tetraploid Sour Cherry

High-throughput genome scans are important tools for genetic studies and breeding applications. Here, a 6K SNP array for use with the Illumina Infinium® system was developed for diploid sweet cherry (Prunus avium) and allotetraploid sour cherry (P. cerasus). This effort was led by RosBREED, a community initiative to enable marker-assisted breeding for rosaceous crops. Next-generation sequencing in diverse breeding germplasm provided 25 billion basepairs (Gb) of cherry DNA sequence from which were identified genome-wide SNPs for sweet cherry and for the two sour cherry subgenomes derived from sweet cherry (avium subgenome) and P. fruticosa (fruticosa subgenome). Anchoring to the peach genome sequence, recently released by the International Peach Genome Initiative, predicted relative physical locations of the 1.9 million putative SNPs detected, preliminarily filtered to 368,943 SNPs. Further filtering was guided by results of a 144-SNP subset examined with the Illumina GoldenGate® assay on 160 accessions. A 6K Infinium® II array was designed with SNPs evenly spaced genetically across the sweet and sour cherry genomes. SNPs were developed for each sour cherry subgenome by using minor allele frequency in the sour cherry detection panel to enrich for subgenome-specific SNPs followed by targeting to either subgenome according to alleles observed in sweet cherry. The array was evaluated using panels of sweet (n = 269) and sour (n = 330) cherry breeding germplasm. Approximately one third of array SNPs were informative for each crop. A total of 1825 polymorphic SNPs were verified in sweet cherry, 13% of these originally developed for sour cherry. Allele dosage was resolved for 2058 polymorphic SNPs in sour cherry, one third of these being originally developed for sweet cherry. This publicly available genomics resource represents a significant advance in cherry genome-scanning capability that will accelerate marker-locus-trait association discovery, genome structure investigation, and genetic diversity assessment in this diploid-tetraploid crop group.     

中国樱桃与甜樱桃花粉原位萌发及花粉管生长的差异

以‘垂丝’、‘东塘’(中国樱桃)和‘莫利’、‘拉宾斯’(甜樱桃)为试材,分别于自花、异花授粉后不同时间切取花柱,用FAA固定,荧光染色后压片观察。结果显示,中国樱桃和甜樱桃的自花、异花花粉均能在柱头萌发,且其花粉管在花柱中表现为“极快—慢—快—稳定”的动态变化过程。但甜樱桃花粉萌发率高于中国樱桃,异花高于自花。中国樱桃自花、异花都有花粉管到达花柱基部;甜樱桃‘莫利’ב拉宾斯’和‘拉宾斯’自交有花粉管到达花柱基部,而‘莫利’自交的花粉管在花柱中上部已停止生长。结果表明,中国樱桃表现自交亲和性,而甜樱桃除人工诱变导致自交亲和的‘拉宾斯’等品种外,表现典型的植物配子体自交不亲和性。     

不同发育阶段大豆株高和茎粗QTL的动态分析

利用中豆29×中豆32的重组自交系,以复合区间作图法对不同发育阶段的大豆株高和茎粗同时进行非条件和条件QTL定位,在11个连锁群检测到18个株高QTL,在9个连锁群检测到19个茎粗QTL。不同发育时期影响大豆株高和茎粗QTL的数量、加性效应和贡献率均不相同,QTL表达具有时序性和选择性,有些QTL仅表达1次,有些可多次连续表达。有3个株高QTL和1个茎粗QTL在3个年度重复表达,有6个株高QTL和2个茎粗QTL在2个年度重复表达。F连锁群上株高和茎粗QTL存在共位性,R1～R4期均有株高和茎粗QTL同时表达,但株高和茎粗QTL的增效基因不同,株高QTL表达次数多而茎粗QTL表达次数较少,前期(V4～R3)QTL表达数量多而后期(R4～R5)表达数量较少。株高和茎粗QTL的动态变化与表型相关分析结果一致,对于适期选择粗秆抗倒的高产材料具有指导作用。     

谷子SSR分子图谱的构建及主要农艺性状QTL定位

试验拟对谷子重要农艺性状进行数量性状位点QTL分析。以表型差异较大的沈3/晋谷20F2作图群体为材料,观测其株高、穗长等性状,选用SSR做分子标记,利用完备区间作图法(BASTEN C J)进行QTL分析。结果显示,表型数据在作图群体中呈现连续分布,表现为多基因控制的数量性状,被整合的54个SSR标记构建10个连锁群,LOD阈值设置为2.0,检测到与株高相关的主效QTL2个,联合贡献率45.9637%,穗长主效QTL1个,贡献率14.9647%,与穗重、粒重相关的主效QTL为同一位点,贡献率分别为11.9601%和10.1879%。有6组QTL位点之间存在基因互作效应,大小范围为-0.4986-16.6407,对性状的贡献率在2.2716％至6.7478％之间。谷子表型控制复杂,相关QTL的检测受环境影响较大,不同连锁群QTL间互作明显。     

甜樱桃品种SSR-PCR反应体系的优化

以甜樱桃品种那翁为试材,研究了樱桃SSR技术中PCR反应体系的主要成分对SSR扩增结果的影响,并比较了采用聚丙稀酰胺凝胶及琼脂糖电泳检测扩增产物多态性的差异.结果表明:在PCR反应体系中,DNA最适浓度30～45 ng;Mg2+的最适浓度范围为1.5～3.0 mmol/L;dNTP最适浓度为0.2～0.3 mmol/L;引物的最适浓度为0.3～0.4 μmol/L;Taq聚合酶在20 μl反应体系中宜加入0.5 U.利用此反应体系,对24份樱桃代表资源进行了SSR反应,用6%的非变性聚丙稀酰胺凝胶电泳检测,扩增产物在100～250 bp之间,不同品种间DNA谱带多态性丰富.琼脂糖电泳检测的DNA多态性不如聚丙稀酰胺凝胶丰富.     

Statistical Methods for Linkage Analysis of Complex Traits from High-Resolution Maps of Identity by Descent

A multilocus model for complex traits is described that generalizes the additive and multiplicative models and hence allows simultaneously for both heterogeneity and gene interaction (epistasis). Statistical methods of linkage analysis are discussed under the assumption that identity by descent data from a dense set of polymorphic markers are available. Three methods, single locus search, simultaneous search and conditional search, are described and compared.     

Linkage and association studies of QTL for nuclear families by mixed models

The transmission disequilibrium test (TDT) has been utilized to test the linkage and association between a genetic trait locus and a marker. Spielman et al. (1993) introduced TDT to test linkage between a qualitative trait and a marker in the presence of association. In the presence of linkage, TDT can be applied to test for association for fine mapping (Martin et al., 1997; Spielman and Ewens, 1996). In recent years, extensive research has been carried out on the TDT between a quantitative trait and a marker locus (Allison, 1997; Fan et al., 2002; George et al., 1999; Rabinowitz, 1997; Xiong et al., 1998; Zhu and Elston, 2000, 2001). The original TDT for both qualitative and quantitative traits requires unrelated offspring of heterozygous parents for analysis, and much research has been carried out to extend it to fit for different settings. For nuclear families with multiple offspring, one approach is to treat each child independently for analysis. Obviously, this may not be a valid method since offspring of one family are related to each other. Another approach is to select one offspring randomly from each family for analysis. However, with this method much information may be lost. Martin et al. (1997, 2000) constructed useful statistical tests to analyse the data for qualitative traits. In this paper, we propose to use mixed models to analyse sample data of nuclear families with multiple offspring for quantitative traits according to the models in Amos (1994). The method uses data of all offspring by taking into account their trait mean and variance-covariance structures, which contain all the effects of major gene locus, polygenic loci and environment. A test statistic based on mixed models is shown to be more powerful than the test statistic proposed by George et al. (1999) under moderate disequilibrium for nuclear families. Moreover, it has higher power than the TDT statistic which is constructed by randomly choosing a single offspring from each nuclear family.     

Linkage Maps of Lowland and Upland Tetraploid Switchgrass Ecotypes

Switchgrass (Panicum virgatum L.) is a native perennial warm season (C₄) grass that has been identified as a promising species for bioenergy research and production. Consequently, biomass yield and feedstock quality improvements are high priorities for switchgrass research. The objective of this study was to develop a switchgrass genetic linkage map using a full-sib pseudo-testcross mapping population derived from a cross between two heterozygous genotypes selected from the lowland cultivar ‘Alamo’ (AP13) and the upland cultivar ‘Summer’ (VS16). The female parent (AP13) map consists of 515 loci in 18 linkage groups (LGs) and spans 1,733 cM. The male parent (VS16) map arranges 363 loci in 17 LGs and spans 1,508 cM. No obvious cause for the lack of one LG in VS16 could be identified. Comparative analyses between the AP13 and VS16 maps showed that the two major ecotypic classes of switchgrass have highly colinear maps with similar recombination rates, suggesting that chromosomal exchange between the two ecotypes should be able to occur freely. The AP13 and VS16 maps are also highly similar with respect to marker orders and recombination levels to previously published switchgrass maps. The genetic maps will be used to identify quantitative trait loci associated with biomass and quality traits. The AP13 genotype was used for the whole genome-sequencing project and the map will thus also provide a tool for the anchoring of the switchgrass genome assembly.