大豆不同亲本类型F2主要性状遗传参数分析

对大豆3个不同亲本类型的杂交组合F2群体主要性状遗传变异系数、遗传力和遗传进度进行了估算分析,结果表明：这些遗传参数因性状或亲本类型的不同而有明显差异。含有野生亲缘关系的组合,类型间、性状间F2遗传力有较大差异,性状变异幅度增大,相对遗传进度也较大,从而有较广泛的选择基础。     

甘蓝型油菜含油量的主基因+多基因遗传效应分析

应用多世代联合分析数量性状主基因和多基因混合遗传的统计方法,分析了甘蓝型油菜两个组合的5个世代——亲本P1、P2、F1、F2和F2：3家系材料含油量的遗传效应。结果表明,分离世代F2及F2：3家系含油量次数分布均呈混合的正态分布,符合主基因＋多基因的遗传特征。D-2模型是该项研究两个甘蓝型油菜杂交组合含油量的最适遗传模型,含油量的遗传是由一对加性主基因和加-显性多基因共同控制的。组合1（1141Bx垦C1-1）主基因加性效应值为-1．74,表明亲本1141B中主基因位点上的等位基因降低含油量,而亲本垦C1-1中的等位基因增加含油量。多基因加性效应值和显性效应值分别为1．20和-1．93;F2的主基因遗传力和多基因遗传力分别为68．21％和27．17％;F2：3的主基因遗传力和多基因遗传力分别为81．70％和16．80％。组合2（32Bx垦C1-2）主基因加性效应值为-3．74,表明亲本32B中主基因位点上的等位基因降低含油量,而亲本垦C1-2中的等位基因增加含油量。多基因加性效应值和显性效应值分别为-1．99和0．93;F2的主基因遗传力和多基因遗传力分别为66．20％,和28．10％;F2：3的主基因遗传力和多基因遗传力为81．00％和14．90％。两组合在F2：3家系世代含油量的主基因遗传力均较F2高,因此认为高含油量育种中在F2：3家系进行选择效率较高。     

shsu双隐性甜玉米F2籽粒营养品质杂种优势分析

杂种优势是一种普遍的遗传学现象.甜玉米杂种优势在各性状上有不同程度的表现,该研究采用不完全双列杂交方法按照P(P-1)/2对5个shsu双隐性甜玉米自交系组配的10个杂交组合F2籽粒的4个品质性状的遗传特点、杂种优势进行分析.结果表明:F2籽粒的4个品质性状很难同时达到理想效果,可溶性总糖、蔗糖、淀粉、可溶性蛋白含量受双亲含量的影响较大,基本是近低亲本遗传.为能得到较高的F2籽粒可溶性总糖含量,可尽量选择具有高可溶性总糖含量的亲本;F2籽粒蔗糖、淀粉含量却受父本的影响较大.     

高粱穗部主要性状的配合力分析

以4个高粱不育系13163A、1358A、128A和407A,以及6个恢复系9.1R、213R、272R、381R、矮182R和早21R为试验材料,按照不完全双列杂交设计(NCII),对其F1的穗部主要性状进行配合力分析。结果表明:亲本穗部主要性状存在显著的遗传差异,主要表现为加性基因效应遗传的性状有:穗长、一级枝梗数、二级枝梗数、穗粒数;狭义遗传力大小顺序分别为:二级枝梗数一级枝梗数穗长穗粒数穗粒重千粒重。不同亲本的一般配合力(GCA)和特殊配合力(SCA)在不同穗部性状间存在较大差异。不育系407A和恢复系早21R、9.1R是综合性状较好的亲本材料,利用它们可组配出产量较高的杂交组合。恢复系272R组配的杂交种具有穗粒数较多、千粒重较小的特点,能满足市场上对小粒高粱的需求。深入分析高粱杂交亲本穗部主要性状表现,有利于对亲本材料的进一步了解和利用。     

籼型杂交稻光合特性的配合力分析

以6个籼型杂交稻三系不育系和5个恢复系按不完全双列杂交设计配制的30个杂交稻组合及其亲本品种为材料,对其光合性状进行了测定和分析,结果表明:(1)杂交稻组合的光合特性存在显著或极显著的组合间遗传差异,光合特性的遗传变异主要来自基因的非加性效应;(2)胞间CO2浓度、蒸腾速率、叶绿素a、叶绿素b和类胡萝卜素含量受不育系的影响大于恢复系,而气孔导度、叶绿素a+b含量受恢复系的影响大于不育系;(3)杂交稻光合性状的广义遗传力均大于狭义遗传力,各性状主要受基因互作及环境的影响。狭义遗传力的大小依次为叶绿素b、叶绿素a+b、叶绿素a、气孔导度、胞间CO2浓度、类胡萝卜素和蒸腾速率,这些性状具有中等遗传力;(4)9个光合性状杂交稻F1表型值与父母本一般配合力效应值之和的相关系数均达极显著水平。因此,可以根据父母本一般配合力效应值之和来预测杂交稻组合光合性状的表现,有利于高效选育高光效杂交稻组合。     

花生主要性状遗传力和相关性的研究

1.材料为1960～1961年杂交的三个组合。选用的亲本,为生产应用的两个主要类型(普通型、珍珠豆型)。这两个类型的品种,在生态和生物学特性上都有比较明显的区别。采用这两个类型进行品种间有性杂交,选出的优良品种也较多。 2.花生性状遗传力的大小,在不同的估算方法(广义法及上下代亲子相关法)间,除总分枝、总果枝出入较大外,其他几个性状都有大体一致的趋势。百果重、饱果数、单株结果数、生育日数、主茎高等性状遗传力较高,秕果数、单株产量等性状的遗传力较低。 3.单株产量,从世代间(F_(2-3))的遗传力来看是很弱的,因此,对于单株产量的选拔标准不宜控制过严,特别是双亲生态型相差悬殊的组合,更有必要放宽选拔的标准。此性状于第二代通过直接选择是无效的,但与单株产量有密切关系的却有几个性状,如单株结果数、饱果数等。因此,通过间接性状的选择,亦可能选择出单株生产力高的优良品系。 4.产量与其他性状的相关性表明,单株结果数越多,产量越高,饱果数越多,产量越高,说明果多果饱是决定产量高低的主要因素。 5.利用变异系数的平方代替相应的变量来估算广义遗传力,可以起到一定的矫正作用。     

油菜（Brassica napus）油酸性状的遗传规律研究

以高油酸油菜品系04-863(油酸含量80.5%)与低油酸油菜品系湘油15号自交系04-1020(油酸含量62.7%)为材料,通过杂交获f1、F2代和回交一代,研究了油菜油酸性状的遗传规律.结果表明:1)油菜油酸性状属数量性状.呈连续变异.很难明确分组;2)杂种一代表现为两亲本的中间类型,但受母本的影响较大,当以高油酸品系04-863为母本时,F1代的油酸含量(X=73.41)分布倾向高油酸亲本,相反,若以低油酸湘油15号自交系04-1020为母本,F1代油酸含量(X=67.75)分布则倾向低油酸亲本;3)对环境条件变化比较敏感,亲代(P1、P2)或F1代都存在着由于环境条件差异而引起的表型差异.F2代广泛分离既有基因型分离的差异,又有环境引起的表型差异.度量这种差异分别以方差和标准差来表示离开平均数的变异程度,在各世代中以F2的方差和标准差最大,分别为V=52.81,S=7.28;4)各代变异的次数分布大体上符合正态分布,即极端类型个体少,中间类型多;5)支配油菜油酸性状的基因数为一对主基因符合孟德尔的3:1分离规律,其回交比例为1:1,油酸性状的遗传力为69%～71%,是由于遗传差异引起的,另31%～29%则是由于环境差异引起的.说明数量性状与质量性状的区分是相对的.     

烤烟不同生育时期产量性状的遗传效应分析

以烤烟高产品种竖把老母鸡和台烟7号与低产品种TI245配制成2个杂交组合,分别获得6个世代植株(P1、P2、F1、F2、B1、B2),运用主基因+多基因混合遗传多世代联合法对2个组合不同生育时期的产量性状进行遗传分析。研究结果表明,2个组合的产量性状在性状建成中发挥调控作用的基因数目与基因效应存在发育阶段性差异。基因加性效应与显性效应存在于整个发育过程中,且效应程度在不同生育时期存在明显差异,同时加性×加性、显性×显性互作效应在产量性状的发育过程中呈间断性表达。基因遗传力在不同生育时期存在差异,现蕾期产量性状的表型变异受基因遗传效应的决定作用高于其他2个生育时期,受环境因素影响小,且不同组合间的基因效应也存在显著差异,组合Ⅱ的遗传效应明显高于组合Ⅰ。不同组合的烤烟产量性状在不同生育时期主基因+多基因遗传效应差异显著,受环境影响程度不同,因此在育种工作中既要考虑基因效应,又要注意环境影响。     

籼粳交组合培矮64S/日本晴F2、F3及F6代主要农艺性状分析

采用方差分析和相关分析等方法对籼粳交组合培矮64S／日本晴F2、F3及F6代分蘖数、有效分蘖数和株高等7个主要农艺性状进行了研究。结果表明,7个农艺性状在双亲之间均存在显著或极显著差异,亲本在不同年份和不同地点表现出较大差异,株高表现变异系数较大,分别为14．4％和22．8％。各性状在3个世代中除了F2分蘖率、F3齐穗期和F6株高,其余各性状均呈连续变异,分布频率大致接近正态分布,同时存在双向超亲分离现象。各性状不同世代相关系数有一定的变化,但不改变其方向。这些结果可以为水稻数量性状基因座分析提供有价值的信息,也可为水稻遗传改良提供理论依据：本文还对选用测序水稻品种为亲本构建群体进行农艺性状研究的意义进行了讨论。     

籼粳交组合培矮64S/ 日本晴F2、F3 及F6 代主要农艺性状分析

采用方差分析和相关分析等方法对籼粳交组合培矮64S/日本晴F2、F3及 F6代分蘖数、有效分蘖数和株高等7个主要农艺性状进行了研究。结果表明, 7个农艺性状在双亲之间均存在显著或极显著差异, 亲本在不同年份和不同地点表现出较大差异, 株高表现变异系数较大, 分别为14.4%和22.8%。各性状在3个世代中除了F2分蘖率、F3齐穗期和F6株高, 其余各性状均呈连续变异, 分布频率大致接近正态分布, 同时存在双向超亲分离现象。各性状不同世代相关系数有一定的变化, 但不改变其方向。这些结果可以为水稻数量性状基因座分析提供有价值的信息, 也可为水稻遗传改良提供理论依据; 本文还对选用测序水稻品种为亲本构建群体进行农艺性状研究的意义进行了讨论。     

Genetic control of organogenesis in cotyledons of sunflower (Helianthus annuus)

Genetic variability for regeneration ability was evaluated by studying direct organogenesis from cotyledons of thirteen genotypes including three cytoplasmic male sterile, three maintenor, three restorer inbred lines, and four F1 hybrids obtained by crosses between some of these inbred lines. The experimental design was a complete randomized block with three replications. A high genetic variability for organogenesis parameters between genotypes was observed in this study. Evidence of cytoplasmic effect and nucleo-cytoplasmic interaction for some of regeneration parameters was observed. The data also showed the importance of additive genetic control for organogenesis parameters in most genotypes. This revised version was published online in June 2006 with corrections to the Cover Date.     

Exploration of lagged relationships between mastitis and milk yield in dairycows using a Bayesian structural equation Gaussian-threshold model

A Gaussian-threshold model is described under the general framework of structural equation models for inferring simultaneous and recursive relationships between binary and Gaussian characters, and estimating genetic parameters. Relationships between clinical mastitis (CM) and test-day milk yield (MY) in first-lactation Norwegian Red cows were examined using a recursive Gaussian-threshold model. For comparison, the data were also analyzed using a standard Gaussian-threshold, a multivariate linear model, and a recursive multivariate linear model. The first 180 days of lactation were arbitrarily divided into three periods of equal length, in order to investigate how these relationships evolve in the course of lactation. The recursive model showed negative within-period effects from (liability to) CM to test-day MY in all three lactation periods, and positive between-period effects from test-day MY to (liability to) CM in the following period. Estimates of recursive effects and of genetic parameters were time-dependent. The results suggested unfavorable effects of production on liability to mastitis, and dynamic relationships between mastitis and test-dayMYin the course of lactation. Fitting recursive effects had little influence on the estimation of genetic parameters. However, some differences were found in the estimates of heritability, genetic, and residual correlations, using different types of models (Gaussian-threshold vs. multivariate linear).     

Genetic Diversity of Protein Markers in Sheep Populations from Ukraine

Based on polymorphism of genes for antigen factors of six blood-group systems and four blood protein loci, genetic structure and the main variation parameters were studied in three sheep breeds and three sheep breed types constituting the basis of purebred sheep resources in Ukraine. Specific features of the distribution of genotypes and alleles of polymorphic loci were determined in each of the studied sheep groups depending on their origin and production type. The molecular–genetic markers used in the analysis of the genetic relationships between the sheep breeds and breed types were shown to objectively reflect their breeding history and evolution. Integrally, each of the studied gene pools had a specific profile of gene frequencies reflecting breeding specificity, breed history, and genetic differentiation of breeds.     

An approximate multitrait model for genetic evaluation in dairy cattle with a robust estimation of genetic trends (Open Access publication)

In a stochastic simulation study of a dairy cattle population three multitrait models for estimation of genetic parameters and prediction of breeding values were compared. The first model was an approximate multitrait model using a two-step procedure. The first step was a single trait model for all traits. The solutions for fixed effects from these analyses were subtracted from the phenotypes. A multitrait model only containing an overall mean, an additive genetic and a residual term was applied on these preadjusted data. The second model was similar to the first model, but the multitrait model also contained a year effect. The third model was a full multitrait model. Genetic trends for total merit and for the individual traits in the breeding goal were compared for the three scenarios to rank the models. The full multitrait model gave the highest genetic response, but was not significantly better than the approximate multitrait model including a year effect. The inclusion of a year effect into the second step of the approximate multitrait model significantly improved the genetic trend for total merit. In this study, estimation of genetic parameters for breeding value estimation using models corresponding to the ones used for prediction of breeding values increased the accuracy on the breeding values and thereby the genetic progress.     

Genetic diversity of protein markers in sheep population from Ukraine

Based on polymorphism of genes for antigen factors of six blood-group systems and four blood protein loci, genetic structure and the main variation parameters were studied in three sheep breeds and three sheep breed types constituting the basis of purebred sheep resources in Ukraine. Specific features of the distribution of genotypes and alleles of polymorphic loci were determined in each of the studied sheep groups depending on their origin and production type. The molecular-genetic markers used in the analysis of the genetic relationships between the sheep breeds and breed types were shown to objectively reflect their breeding history and evolution. Integrally, each of the studied gene pools had a specific profile of gene frequencies reflecting breeding specificity, breed history, and genetic differentiation of breeds.     

Structural Organization of Gene Pool by Immunogenetic Markers in the Ukrainskaya Stepnaya Belaya Breed of Pigs

The study of structural organization of gene pool was conducted for eight blood-group genetic systems (transferrin, haptoglobin, and amilase) in three stock herds of pigs of the Ukrainskaya Stepnaya Belaya breed that were bred under the conditions of southern Ukraine. Typical gene combinations (complex genotypes) of this breed were detected, and the main breed-specific parameters of distribution of genetic markers were described.     

Pedigree analyses in the Breeding Program for Nellore Cattle

Parameters based on the probability of gene origin were used to describe genetic variability in three reproductive groups from the Breeding Program for Nellore Cattle (PMGRN). The three reproductive populations (cows in reproductive age, bulls from artificial insemination centers and young bulls in progeny test) generated medium to low values. The effective number of founders (Nf ), the effective number of ancestors (Na) and the remaining genomes (Ng) suggest low founder representativeness, high genetic contribution by some ancestors, considerable loss of founder alleles and lack of allelic representativeness in bulls kept in artificial insemination centers and young sires in progeny test in relation to the diversity on the farms participating in the PMGRN. The parameters based on the probability of gene origin in the three reproductive groups were: 84.3, 53 and 54.2 (Nf ); 71, 36.6 and 30 (Na) and 51.4, 19.3 and 19 (Ng) for cows, bulls from artificial insemination centers and young sires in progeny test, respectively. Future matings and the introduction of selected progeny reproduction may decrease the parameters based on the probability of gene origin in each reproductive group, thereby increasing considerably the additive relationship in the three reproductive groups and consequently increasing the probability of inbreeding in the future. Strategies to maintain genetic variability in bull populations must be implemented.     

Identification of three genetic loci controlling leaf senescence in Arabidopsis thaliana

Four mutants that show the delayed leaf senescence phenotype were isolated from Arabidopsis thaliana . Genetic analyses revealed that they are all monogenic recessive mutations and fall into three complementation groups, identifying three genetic loci controlling leaf senescence in Arabidopsis . Mutations in these loci cause delay in all senescence parameters examined, including chlorophyll content, photochemical efficiency of photosystem II, relative amount of the large subunit of Rubisco, and RNase and peroxidase activity. Delay of the senescence symptoms was observed during both age-dependent in planta senescence and dark-induced artificial senescence in all of the mutant plants. The results indicate that the three genes defined by the mutations are key genetic elements controlling functional leaf senescence and provide decisive genetic evidence that leaf senescence is a genetically programmed phenomenon controlled by several monogenic loci in Arabidopsis . The results further suggest that the three genes function at a common step of age-dependent and dark-induced senescence processes. It is further shown that one of the mutations is allelic to ein2-1 , an ethylene-insensitive mutation, confirming the role of ethylene signal transduction pathway in leaf senescence of Arabidopsis .     

Geographic Patterns of Genetic Variation and Conservation Consequences in Three South American Rodents

In this study, the geographic patterns of genetic variation of three rodent species belonging to the tribe Oryzomyini were investigated using the mitochondrial cytochrome b and nuclear IRBP genes in biomes that are undergoing degradation processes to a greater or lesser degree. The samples are from 25 collecting localities distributed throughout the Amazon, Cerrado, Atlantic Forest, and Pampa biomes. The results show that the three species have a population and geographic structure, besides being in demographic equilibrium. The phylogenetic analyses performed on Euryoryzomys russatus and Hylaeamys megacephalus showed these specimens grouped in three distinct clades forming geographic gradients (North-South direction in H. megacephalus). Intraspecific genetic divergence was higher in H. megacephalus (4.53%), followed by E. russatus (1.79%), and lowest in Sooretamys angouya (0.88%). The results obtained indicate that, necessarily, the management strategies to preserve genetic diversity should be different for each species, since each of them presented specific population parameters.     

On coding genotypes for genetic markers with multiple alleles in genetic association study of quantitative traits

Background

In genetic association study of quantitative traits using F_∞ models, how to code the marker genotypes and interpret the model parameters appropriately is important for constructing hypothesis tests and making statistical inferences. Currently, the coding of marker genotypes in building F_∞ models has mainly focused on the biallelic case. A thorough work on the coding of marker genotypes and interpretation of model parameters for F_∞ models is needed especially for genetic markers with multiple alleles.

Results

In this study, we will formulate F_∞ genetic models under various regression model frameworks and introduce three genotype coding schemes for genetic markers with multiple alleles. Starting from an allele-based modeling strategy, we first describe a regression framework to model the expected genotypic values at given markers. Then, as extension from the biallelic case, we introduce three coding schemes for constructing fully parameterized one-locus F_∞ models and discuss the relationships between the model parameters and the expected genotypic values. Next, under a simplified modeling framework for the expected genotypic values, we consider several reduced one-locus F_∞ models from the three coding schemes on the estimability and interpretation of their model parameters. Finally, we explore some extensions of the one-locus F_∞ models to two loci. Several fully parameterized as well as reduced two-locus F_∞ models are addressed.

Conclusions

The genotype coding schemes provide different ways to construct F_∞ models for association testing of multi-allele genetic markers with quantitative traits. Which coding scheme should be applied depends on how convenient it can provide the statistical inferences on the parameters of our research interests. Based on these F_∞ models, the standard regression model fitting tools can be used to estimate and test for various genetic effects through statistical contrasts with the adjustment for environmental factors.