亲子典型相关在家蚕育种中的应用

运用典型相关理论分析了家蚕亲代和子代两组数量性状,并对其遗传育种学意义作了探讨。由于亲子典型相关系数在数值上就等于亲子间典型性状的回归系数,所以亲子典型相关系数也代表了亲代典型性状将其遗传特征传递给子代典型性状的能力。典型性状作为多个数量性状的公共因子,在亲子代间具有最大的传递能力,对亲代典型性状进行选择,将具有最大的选择效果和最小的估计误差。     

A quantitative genetic model for mixed diploid and triploid hybrid progenies in tree breeding and evolution

Interspecific hybridization has played a critical role in tree evolution and breeding. The findings of triploidy in forest trees stimulate the development of a quantitative genetic model to estimate the nature of gene action. The model is based on clonally replicated triploid progenies derived from a two-level population and individual-within-population mating design in which offspring have a double dose of alleles from the parent and a single dose of alleles from the other parent. With the same genetic assumptions of a diploid model, except non-Mendelian behavior at meiosis, and the experimental variances estimated from a linear statistical model, total genetic variances in the triploid progenies are separated into additive, dominance, and epistatic components. In addition, by combining the new model with the already existing model based on disomic expression, the partitioning of additive, dominant, and epistatic variances can be obtained for a mixed diploid/triploid F₁ progeny population. This paper provides an alternative technique to study the modes of quantitative inheritance for outcrossing, long-lived forest trees in which inbred lines cannot be easily generated. The accuracy for estimating gene action using this technique is discussed.     

Influence of mom and dad: quantitative genetic models for maternal effects and genomic imprinting

The expression of an imprinted gene is dependent on the sex of the parent it was inherited from, and as a result reciprocal heterozygotes may display different phenotypes. In contrast, maternal genetic terms arise when the phenotype of an offspring is influenced by the phenotype of its mother beyond the direct inheritance of alleles. Both maternal effects and imprinting may contribute to resemblance between offspring of the same mother. We demonstrate that two standard quantitative genetic models for deriving breeding values, population variances and covariances between relatives, are not equivalent when maternal genetic effects and imprinting are acting. Maternal and imprinting effects introduce both sex-dependent and generation-dependent effects that result in differences in the way additive and dominance effects are defined for the two approaches. We use a simple example to demonstrate that both imprinting and maternal genetic effects add extra terms to covariances between relatives and that model misspecification may over- or underestimate true covariances or lead to extremely variable parameter estimation. Thus, an understanding of various forms of parental effects is essential in correctly estimating quantitative genetic variance components.     

甘蔗品种资源的表型遗传多样性

为了提高甘蔗品种资源的利用效率, 为甘蔗遗传育种亲本的选择、杂交组合配制及核心种质构建提供理论指导, 我们利用17个质量性状和5个数量性状分析了来自13个国家共20个地区的1,160份甘蔗品种资源的遗传变异、遗传结构和遗传距离等。结果表明: 5个数量性状在不同来源地品种群体之间的变异系数值(CV)变化较大, 说明不同来源地品种群体的数量遗传变异有较大差异, 其中来自海南的品种其群体遗传变异最丰富。质量性状的Shannon-Wiener多样性指数表明, 来自美国的品种群体遗传多样性最高, 其次为中国台湾, 第三为澳大利亚, 说明上述3个地区的甘蔗种质创新比较活跃, 在遗传育种中使用了更多表型性状多样化的亲本。不同来源地品种其群体的遗传分化系数(Gst)和基因流(Nm)显示甘蔗品种群体表型性状的遗传变异主要来自来源地内部, 且不同来源地品种群体之间存在较大的基因交流。遗传距离和UPGMA聚类分析结果表明, 各来源地品种群体之间遗传距离在0.0261–0.2945之间, 其中以福建和广东的品种最为相似, 其次为古巴和美国、广西和云南、澳大利亚和菲律宾、江西和四川、巴西和法国, 说明上述地区在杂交亲本的选择上比较相近。鉴于此, 在遗传育种中应加大利用具有丰富遗传多样性的品种材料并尽量避免选择同一组的品种相互杂交, 同时对于与其他来源地品种群体遗传距离较远的墨西哥品种群体在亲本选配时应给予更多关注。     

肉牛杂交优势预测、评估及其应用研究

利用微卫星标记技术分析了８个肉 要交样本群体的遗传结构和遗传变异,预测了要种优势。在此基础上肉牛发校组合的实际杂交效果利用个体动物模型进行了评估,并提出了筛选最优杂交组合的分子数量遗传学综合评选新方法。其最优杂交组合的评选结果为,在丰宁、隆化代表区域,以海伏特、利木赞和夏洛来为父本的组合最好;在赞皇代表区域,以利木赞、安格斯和海伏特为父本的组合最好,在抚宁代表区域,以海伏特、利木赞和皮埃蒙特为父本     

MBP (version 1.0): a software package to optimize maize breeding procedures based on doubled haploid lines

We developed MBP (version 1.0), a software package for optimizing maize (Zea mays L.) breeding procedures based on doubled haploid lines. This software accounts for both recurrent selection and the development of hybrid parent lines. Based on quantitative genetic model calculations, MBP (version 1.0) maximizes the expected genetic gain per year as a function of various genetic parameters and operational variables under the restriction of a given annual breeding budget. Exact formulae for the prediction of the effective population size are implemented, which allows to optimize breeding procedures under limited relative annual loss of genetic variance.     

The relationship between parental genetic or phenotypic divergence and progeny variation in the maize nested association mapping population

Appropriate selection of parents for the development of mapping populations is pivotal to maximizing the power of quantitative trait loci detection. Trait genotypic variation within a family is indicative of the family's informativeness for genetic studies. Accurate prediction of the most useful parental combinations within a species would help guide quantitative genetics studies. We tested the reliability of genotypic and phenotypic distance estimators between pairs of maize inbred lines to predict genotypic variation for quantitative traits within families derived from biparental crosses. We developed 25 families composed of ~200 random recombinant inbred lines each from crosses between a common reference parent inbred, B73, and 25 diverse maize inbreds. Parents and families were evaluated for 19 quantitative traits across up to 11 environments. Genetic distances (GDs) among parents were estimated with 44 simple sequence repeat and 2303 single-nucleotide polymorphism markers. GDs among parents had no predictive value for progeny variation, which is most likely due to the choice of neutral markers. In contrast, we observed for about half of the traits measured a positive correlation between phenotypic parental distances and within-family genetic variance estimates. Consequently, the choice of promising segregating populations can be based on selecting phenotypically diverse parents. These results are congruent with models of genetic architecture that posit numerous genes affecting quantitative traits, each segregating for allelic series, with dispersal of allelic effects across diverse genetic material. This architecture, common to many quantitative traits in maize, limits the predictive value of parental genotypic or phenotypic values on progeny variance.     

Dermatoglyphic changes during the population admixture between Kam and Han Chinese

Genetic studies and gene localization for human dermatoglyphs are currently ongoing. However, the inheritance modes of various genetic traits are not well understood because of the complexity of dermatoglyph genetics. The study of admixed populations can contribute to the understanding of population genetic traits of dermatoglyphs. Here, we present the dermatoglyphic characteristics of Kam and Liujia Han, and the admixed population consisting of these two parent populations.The characteristics of the admixed population do not always fall in the same ranges as the parent population characters but do seem to be biased to Kam or Liujia parent populations, depending on sex and ethnicity of parents. The total frequencies of different fingerprint types do not differ among these populations, but several of the quantitative traits and the palm true pattern frequencies do significantly differ between admixed and parent populations. The simple arch fingerprint frequency decreases significantly in the admixed population in comparison with parent populations while both simple whorl fingerprint frequency and finger ridge counts increase significantly. True pattern frequency of the span area of interdigital III and IV areas on right hands and the radial-loop frequency of the right index fingers in the admixed populations are consistent with their matrilineal population. These dermatoglyphic changes may result from increased heterozygosity in the admixed population. The genetic modes of these changes may be relatively simple and will be useful for future dermatoglyph genetic studies.      

An improved procedure of mapping a quantitative trait locus via the EM algorithm using posterior probabilities

Mapping a locus controlling a quantitative genetic trait (e.g. blood pressure) to a specific genomic region is of considerable contemporary interest. Data on the quantitative trait under consideration and several codominant genetic markers with known genomic locations are collected from members of families and statistically analysed to estimate the recombination fraction, θ, between the putative quantitative trait locus and a genetic marker. One of the major complications in estimating θ for a quantitative trait in humans is the lack of haplotype information on members of families. We have devised a computationally simple two-stage method of estimation of θ in the absence of haplotypic information using the expectation-maximization (EM) algorithm. In the first stage, parameters of the quantitative trait locus (QTL) are estimated on the basis of data of a sample of unrelated individuals and a Bayes’s rule is used to classify each parent into a QTL genotypic class. In the second stage, we have proposed an EM algorithm for obtaining the maximum-likelihood estimate of θ based on data of informative families (which are identified upon inferring parental QTL genotypes performed in the first stage). The purpose of this paper is to investigate whether, instead of using genotypically ‘classified’ data of parents, the use of posterior probabilities of QT genotypes of parents at the second stage yields better estimators. We show, using simulated data, that the proposed procedure using posterior probabilities is statistically more efficient than our earlier classification procedure, although it is computationally heavier.     

Identification of Quantitative Trait Loci for Rice Quality in a Population of Chromosome Segment Substitution Lines

The demand for high quality rice represents a major issue in rice production. The primary components of rice grain quality include appearance, eating, cooking, physico-chemical, milling and nutritional qualities. Most of these traits are complex and controlled by quantitative trait loci (QTLs), so the genetic characterization of these traits is more difficult than that of traits controlled by a single gene. The detection and genetic identification of QTLs can provide insights into the genetic mechanisms underlying quality traits. Chromosome segment substitution lines (CSSLs) are effective tools used in mapping QTLs. In this study, we constructed 154 CSSLs from backcross progeny (BC3F2) derived from a cross between 'Koshihikari' (an Oryza sativa L. Ssp. Japonica variety) as the recurrent parent and 'Nona Bokra' (an O. Sativa L. Ssp. Indica variety) as the donor parent. In this process, we carried out marker-assisted selection by using 102 cleaved amplified polymorphic sequence and simple sequence repeat markers covering most of the rice genome. Finally, this set of CSSLs was used to identify QTLs for rice quality traits. Ten QTLs for rice appearance quality traits were detected and eight QTLs concerned physico-chemical traits. These results supply the foundation for further genetic studies and breeding for the improvement of grain quality.     

中国东乡野生稻遗传因子转移的研究

本文研究了东乡野生稻群中一个变种的表型特征,生态特性,并从数量性状和细胞遗传学的角度研究了东乡野生稻作为父本与不同遗传背景的７个籼型栽培品种的遗传重组,及优质早籼９０－２的育成,重点探索了该变种的有用基因向栽培稻的转移及育种价值。结果表明,该类型具有育种价值的遗传因子能转移到栽培品种中去,并使栽培品种的一些目标性状得到改良。     

云南甘蔗品种表型性状的遗传多样性分析

为了提高云南甘蔗品种资源的利用效率,为甘蔗遗传育种亲本的选择、杂交组合配制提供理论指导,本研究从18个质量性状和5个数量性状对73份云南甘蔗品种和27份中国历年主栽甘蔗品种(不包括云南选育的主栽品种)的遗传变异、遗传多样性、聚类关系等开展了研究。结果表明:云南甘蔗品种芽形、曝光后节间颜色、曝光前节间颜色、芽沟和57号毛群的多样性十分丰富;而数量性状的遗传变异主要来自叶片宽度和株高;相似性系数和聚类分析表明品种的相似性处于中等水平,可分成2个大类群4个亚类群及20个小类群,主成份分析表明云南甘蔗品种和中国历年主栽品种可划分为3个明显的基因库,与聚类分析结果基本一致。     

Patterns of child fosterage in rural northern Thailand

Evolutionary theory guides an investigation of foster parent selection in two northern Thai villages with different biosocial environments: one village has high levels of labour migration and divorce, and growing numbers of parental death due to HIV/AIDS, while the other village has lower migration, divorce and parental mortality levels. Focus groups examine mothers' and fathers' motivations and ideals regarding foster caretaker selection, and quantitative family surveys examine real fostering outcomes: specifically, the laterality (matrilateral versus patrilateral) and genetic distance of the foster caretakers of all ever-fostered children in these two villages. As predicted, in environments of high marital stability and paternity certainty, parents seem to prefer close genetic kin from either side as foster parents for their children. In low marital stability and paternity certainty environments, parents trust their own lateral kin, regardless of genetic distance, over close genetic kin from the other side. The striking exception to this pattern, however, occurs in the case of parental death, in which case children are fostered to the deceased parent's kin, regardless of the child's sex or other factors. In general, the foster parents for girls are selected with more care, reflecting the daughter/female preference expected in traditionally matrilineal, matrilocal societies. An ordered decision-making pathway for foster parent selection is proposed, taking into consideration the key factors of (a) the circumstances driving the fostering decision, (b) the gender of the child, (c) the gender of the key decision-making parent, and (d) the degree of marital and population fluidity (and subsequent, paternity certainty) in the village.     

Gas chromatography/mass spectrometry assays for the determination of debrisoquine and sparteine metabolites in microsomal fractions of rat liver.

Debrisoquine and sparteine are prototype substrates of a genetic deficiency in cytochrome P450-dependent drug metabolism. Sensitive assays of in vitro oxidation of sparteine and debrisoquine are required for evaluation of this polymorphism. The activities were measured by quantitative analysis of 2-dehydrosparteine and 4-hydroxydebrisoquine production, respectively, using capillary column gas chromatography coupled with mass selective ion detection. With a single extraction, separation of parent drug, metabolite, and a suitable internal standard was readily achievable. Time-dependent production of both metabolites could be detected from as little as 40 micrograms of microsomal protein. Both activities showed a maximal activity with a 240-min incubation period. The ability to simultaneously quantify the parent drug and its metabolite suggests it would also be useful for evaluation of in vivo metabolism.     

Constructing a Genetic Linkage Map Using an F<Subscript>1</Subscript> Population of Non-inbred Parents in Cassava (<Emphasis Type="Italic">Manihot esculenta</Emphasis> Crantz)

A genetic linkage map of cassava has been generated with total of 355 molecular markers, 231 amplified fragment length polymorphisms (AFLPs), 41 simple sequence repeats (SSRs), 48 sequence-related amplified polymorphisms (SRAPs), and 35 expressed sequence tag (EST)-SSRs segregating from an F₁ population of an intraspecific cross between SC6, as female parent, and Mianbao, as male parent. The genetic map consisted of 18 linkage groups and spanned a 1,707.9 cM genetic distance, with the average marker interval being 4.81 cM. Thirty-five EST-SSR markers that were developed by our laboratory were mapped onto this map. The genetic map generated in this study will enrich the information of structural genomics in cassava, facilitating to identify quantitative trait loci (QTL) of interest and to serve as a useful complement for construction of an integrated map in the future.     

Towards the genetic architecture of seed lipid biosynthesis and accumulation in Arabidopsis thaliana

We report the quantitative genetic analysis of seed oil quality and quantity in six Arabidopsis thaliana recombinant inbred populations, in which the parent accessions were from diverse geographical origins, and were selected on the basis of variation for seed oil content and lipid composition. Although most of the biochemical steps involved in lipid biosynthesis are known and the key genes have been identified, the regulation of the processes that results in the final oil composition and total amount is not understood. By using physically anchored markers it was possible to compare results across populations. A total of 219 quantitative trait loci (QTLs) were identified, of which 81 were significant at P<0.001. Some of these colocalise with QTLs identified previously, but many novel QTLs were also identified. The results highlight the importance of studying traits in multiple populations, which will lead to a better understanding of the contribution that natural variation makes to the genetic architecture of a phenotype.     

Linkage analysis of quantitative traits in an interspecific cross of tomato (lycopersicon esculentum x lycopersicon pimpinellifolium) by means of genetic markers

Linkage relationships between loci affecting quantitative traits (QTL) and marker loci were examined in an interspecific cross between Lycopersicon esculentum and Lycopersicon pimpinellifolium. Parental lines differed for six morphological markers and for four electrophoretic markers. Almost 1700 F-2 plants were scored with respect to the genetic markers and also with respect to 18 quantitative traits. Major genes affecting the quantitative traits were not found, but out of 180 possible marker x trait combinations, 85 showed significant quantitative effects associated with the genetic markers. The average marker-associated main effect was on the order of 6% of the mean value of the trait. Most of the main effects were apparently due to linkage of QTL to the marker loci rather than to pleiotropy. Fourteen of the traits showed at least one highly significant effect of opposite sign to the overall difference between the parental lines, demonstrating the ability of this design to uncover cryptic genetic variation. Significant variance and skewness effects on the quantitative traits were found to be associated with the genetic markers, suggesting the possible presence of loci affecting the variance and shape of quantitative trait distribution in a population. Most marker-associated quantitative effects showed some degree of dominance, generally in the direction of the L. pimpinellifolium parent. When the significant marker-associated effects were examined in pairs, 12% showed significant interaction effects. The results of this study illustrate the potential usefulness of this type of analysis for the detailed genetic investigation of quantitative trait variation in suitably marked populations.     

Quantitative genetic dissection of complex traits in a QTL-mapping pedigree

This paper summarizes and modifies quantitative genetic analyses on a pedigree used to map genetic factors (i.e., QTLs) underlying a complex trait. The total genetic variance can be exactly estimated based on the F₂ family derived from two homozygous parents for alternative alleles at all QTLs of interest. The parents, F₁ hybrids, and two backcrosses are combined to each parent, and the total number of QTLs and the number of dominant QTLs are estimated under the assumptions of gene association with the two parents, equal gene effect, no linkage, and no epistasis among QTLs. Further relaxation for each of the assumptions are made in detail. The biometric estimator for the QTL number and action mode averaged over the entire genome could provide some basic and complementary information to QTL mapping designed to detect the effect and location of specific genetic factors.     

Increased genetic variance after a population bottleneck

A conventional view holds that population bottlenecks cause massive losses of genetic variability, thus endangering the viability of the derived population. Although some alleles that were infrequent in the parent population may be lost new empirical evidence from Drosophila and housefly populations has demonstrated that genetic variance available to selection may actually increase following a single severe bottleneck. Several theoretical models support this view, and suggest that the increase may result from conversion of balanced epistatic variance to additive variance that becomes immediately available to selection. These effects appear to be greatest on the inheritance of quantitative characters, releasing new variance through the disruption of covariance matrices that underlie and interrelate quantitative traits. Thus, character change in adaptation and speciation may, in some instances, be promoted by founder events.     

QUANTITATIVE GENETICS OF GEOMETRIC SHAPE IN THE MOUSE MANDIBLE

Abstract We combine the methods of geometric morphometrics and multivariate quantitative genetics to study the patterns of phenotypic and genetic variation of mandible shape in random‐bred mice. The data are the positions of 11 landmarks on the mandibles of 1241 mice from a parent‐offspring breeding design. We use Procrustes superimposition to extract shape variation and restricted maximum likelihood to estimate the additive genetic and environmental components of variance and covariance. Matrix permutation tests showed that the genetic and phenotypic as well as the genetic and environmental covariance matrices were similar, but not identical. Likewise, principal component analyses revealed correspondence in the patterns of phenotypic and genetic variation. Patterns revealed in these analyses also showed similarities to features previously found in the effects of quantitative trait loci and in the phenotypes generated in gene knockout experiments. We used the multivariate version of the breeder's equation to explore the potential for short‐term response to selection on shape. In general, the correlated response is substantial and regularly exceeds the direct response: Selection applied locally to one landmark usually produces a response in other parts of the mandible as well. Moreover, even selection for shifts of the same landmark in different directions can yield dramatically different responses. These results demonstrate the role of the geometry and anatomical structure of the mandible, which are key determinants of the patterns of the genetic and phenotypic covariance matrices, in molding the potential for adaptive evolution.