植物数量性状变异的分子基础与QTL克隆研究进展

探讨数量性状变异规律以便对其进行遗传操纵一直是植物遗传学的一个重要领域。DNA分子标记和QTL作图技术的发展以及拟南芥和水稻全基因组测序的完成极大地促进了植物数量性状分子基础的研究。现已克隆了拟南芥ED1、水稻Hdl、玉米Tb1、番茄fw2．2和Brii9-2-5等控制目标数量性状的基因。数量性状表型变异不仅源于多个数量性状基因（QTL）的分离．而且还受到内外环境的修饰。QTL等位基因变异与孟德尔基因变异具有类似的分子基础,即基因表达或蛋白质功能发生改变。通过分析已克隆的植物QTL的变异特征及分子基础,讨论了植物QTL克隆技术策略,并对QTL研究所面临的挑战和应用前景进行了展望。     

微卫星分子标记在濒危动物保护遗传学研究中的应用

微卫星DNA广泛分布于真核生物基因组中,具有多态性高、共显性遗传、选择中性、易于操作等特点,是一种极具应用价值的分子遗传标记,近年来在濒危动物保护遗传学研究中得到越来越多的应用。微卫星DNA高度多态性提供的高分辨率遗传信启,使其不仅适合个体水平的亲子鉴定与交配系统研究,而且也已成为种群遗传结构与多样性分析的有效分子标记。微卫星分析所需的DNA量极少,用非损伤性方法获取的极少量样品或陈旧样品就能用于有效分析,方便了濒危动物野外调查工作的开展,并且可以利用年代久远的馆藏历史标本揭示种群的重要历史进程。另外,某些微卫星DNA大小在近缘物种间可相互区分,这使得部分物种的DNA分子鉴别将更为简便。但微卫星分子标记的座位筛选和特异引物开发耗时费力,一定程度上限制了其广泛应用。针对不同的研究目的选择合适的分子标记方法将有助于更好的揭示问题本质。     

BC群体不同连锁模式分子区间标记QTL作图相关方法的精确度分析

该文分析了BC群体不同连锁模式分子区间标记QTL作图相关方法的精确度,提出了相应参数的适用范匿,连锁顺序的检测方法,分析步骤,为QTL作图提供了理论基础。     

植物基因组研究进展（综述）

目前集中在模式植物拟南芥,水稻的基因组研究进展迅速,基因组测序和物理作图极大地便利于基于分子标记图的基因克隆,并增加了对植物基因组的组织,结构和进化的认识。     

植物基因组研究进展(综述)

目前集中在模式植物拟南芥、水稻的基因组研究进展迅速,基因组测序和物理作图极大地便利了基于分子标记图的基因克隆,并增加了对植物基因组的组织、结构和进化的认识。     

动物种群遗传多态性研究中的PCR技术

基因组DNA的变异是种群遗传多态性研究的基础。PCR技术可以在反应管内经济快速地扩增特定DNA序列,在动物种群遗传多态性研究中的应用主要包括三个方面：(1)种群遗传多态位点的检测;(2)基因定位或利用已经定位的单拷贝基因设计染色体位点特异的分子标记;(3)与DNA测序技术相结合,高效经济地获取特定基因座位的全部遗传变异。     

不同地理种群美洲斑潜蝇及近缘种的rDNA-ITS1序列分析和比较

【目的】通过对美洲斑潜蝇Liriomyza sativae Blanchard 不同地理种群及近缘种间的核糖体DNA第一内转录间隔区（rDNA-ITS1）进行比较,分析美洲斑潜蝇不同地理种群间的遗传分化情况,并为美洲斑潜蝇与近缘种间提供分子鉴别标记。【方法】用PCR产物直接测序法及克隆测序法对我国美洲斑潜蝇8个地理种群的rDNA-ITS1序列进行测序,并调用GenBank中3个近缘种的rDNA-ITS序列,运用软件MEGA3.1对美洲斑潜蝇不同地理种群及近缘种间的rDNA-ITS1序列进行分析。【结果】美洲斑潜蝇8个地理种群间的分化程度较低,只有8个变异位点,遗传距离都在0.02以下,但4个近缘种间的碱基差异显著,遗传距离为0.149～0.390,有126个变异位点,12个美洲斑潜蝇特异性识别位点。【结论】虽然基于rDNA-ITS1序列所显示的美洲斑潜蝇各地理种群之间的遗传分化很小,但是其分化趋势与地理分布基本相吻合;得到的12个特异性识别位点不仅可以作为美洲斑潜蝇与其近缘种间鉴别的分子标记,而且可为今后设计鉴别性PCR引物提供重要的参考依据。     

分子标记在食用蕈菌遗传育种中的应用*

分子标记是以个体间遗传物质内核苷酸序列变异为基础的遗传标记,是DNA水平遗传变异的直接反映。与其它几种遗传标记——形态标记、同工酶标记、细胞标记相比,分子标记具有很多优越性：大多数分子标记共显性遗传,对隐性的农艺性状的选择十分便利;基因组变异极其丰富,分子标记的数量几乎是无限的;在生物发育的不同阶段,不同组织的DNA都可用于标记分析;分子标记直接揭示来自DNA的变异;表现为中性,不影响目标性状的表达,与不良性状无必然的连锁。 随着分子生物学技术的发展,目前已经开发了几十种基于DNA多态性的分子标记,如RF…     

微卫星DNA标记开发技术进展及其在经济植物研究中的应用

微卫星分子标记技术被广泛应用于分子生物学研究中,具有多态性高、重复性好、共显性表达、杂合度高等特点,在种群遗传多样性、遗传图谱构建等领域发挥不可替代的作用。近年来,随着新一代高通量测序技术的进一步成熟,简单重复序列(simple sequence repeat,SSR)标记的开发技术与应用得到了进一步的发展。现主要对基于高通量测序的微卫星分子标记最新开发技术进行介绍,并从遗传多样性分析、遗传图谱构建、品种鉴定及分子辅助育种等方面,总结近年来SSR标记技术在经济植物研究中的最新应用,最后对SSR技术的应用前景进行展望,以期为利用微卫星技术进行经济植物研究提供参考。     

分子标记及其在植物遗传育种中的应用

遗传标记可以说是生物群体中可识别的遗传多态性的一种表现形式。随着遗传研究特别是遗传作图的不断深入,遗传标记已从传统的以等位基因的表型识别为基础的形态标记、以染色体的结构和数目为特征的细胞学标记,及具有组织、发育及物种特异性的同工酶标记,拓展到目前已广泛应用的以ＤＮＡ多态性为基础的分子标记技术。现代分子标记技术的出现和发展为植物遗传育种研究的许多领域注入了新的活力。本文着重就目前植物遗传育种中所应用的一些主要分子标记技术及其应用作一概述。１　常用的分子标记技术自８０年代初有人提出用ＲＦＬＰ作为遗传…     

Lz-0 × Berkeley: a new Arabidopsis recombinant inbred line population for the mapping of complex traits

This study describes the generation and test of a genetic resource suited to identify determinants of cell biological traits in plants. The use of quantitative trait loci (QTL) mapping for a better genetic understanding of cell biological traits is still at an early stage, even for biotechnologically important cell properties, such as the dimensions of fiber cells. A common strategy, the mapping of QTLs in recombinant inbred line (RIL) populations, is limited by the fact that the existing RIL populations exploit only a small fraction of the existing natural variation. Here, we report the mapping of QTLs impacting on the length of fiber cells in Arabidopsis inflorescence stems in a newly generated RIL population derived from a cross between the accessions Berkeley and the little known Lz-0. Through inbreeding of individual F₂ plants, a total of 159 new F₈ lines were produced and genotyped with a set of 49 single nucleotide polymorphism markers. The population was successfully used not only for the mapping of three QTLs controlling fiber length, but also to map five QTL controlling flowering time under short and long-day conditions. Our study demonstrates the usefulness of this new genetic resource by mapping in it QTLs underlying a poorly explored cellular trait as well as an already better explored regulatory pathway. The new RIL population and an online platform for the continuous supplementation of genetic markers will be generally available to substantially broaden the genetic diversity through which loci with impact on plant quantitative traits can be identified.     

Quantitative trait loci responsible for variation in sexually dimorphic traits in Drosophila melanogaster

To understand the mechanisms of morphological evolution and species divergence, it is essential to elucidate the genetic basis of variation in natural populations. Sexually dimorphic characters, which evolve rapidly both within and among species, present attractive models for addressing these questions. In this report, we map quantitative trait loci (QTL) responsible for variation in sexually dimorphic traits (abdominal pigmentation and the number of ventral abdominal bristles and sex comb teeth) in a natural population of Drosophila melanogaster. To capture the pattern of genetic variation present in the wild, a panel of recombinant inbred lines was created from two heterozygous flies taken directly from nature. High-resolution mapping was made possible by cytological markers at the average density of one per 2 cM. We have used a new Bayesian algorithm that allows QTL mapping based on all markers simultaneously. With this approach, we were able to detect small-effect QTL that were not evident in single-marker analyses. Our results show that at least for some sexually dimorphic traits, a small number of QTL account for the majority of genetic variation. The three strongest QTL account for >60% of variation in the number of ventral abdominal bristles. Strikingly, a single QTL accounts for almost 60% of variation in female abdominal pigmentation. This QTL maps to the chromosomal region that Robertson et al. have found to affect female abdominal pigmentation in other populations of D. melanogaster. Using quantitative complementation tests, we demonstrate that this QTL is allelic to the bric a brac gene, whose expression has previously been shown to correlate with interspecific differences in pigmentation. Multiple bab alleles that confer distinct phenotypes appear to segregate in natural populations at appreciable frequencies, suggesting that intraspecific and interspecific variation in abdominal pigmentation may share a similar genetic basis.     

Quantitative trait locus mapping in natural populations: progress, caveats and future directions

Over the last 15 years quantitative trait locus (QTL) mapping has become a popular method for understanding the genetic basis of continuous variation in a variety of systems. For example, the technique is now an integral tool in medical genetics, livestock production, plant breeding and population genetics of model organisms. Ten years ago, it was suggested that the method could be used to understand continuous variation in natural populations. In this review I: (i) clarify what is meant by natural population in the QTL context, (ii) discuss whether evolutionary biologists have successfully mapped QTL in natural populations, (iii) highlight some of the questions that have been addressed by QTL mapping in natural populations, (iv) describe how QTL mapping can be conducted in unmanipulated natural populations, (v) highlight some of the limitations of QTL mapping and (vi) try to predict some future directions for QTL mapping in natural populations.     

Mapping quantitative trait loci in multiple populations of Arabidopsis thaliana identifies natural allelic variation for trichome density

The majority of biological traits are genetically complex. Mapping the quantitative trait loci (QTL) that determine these phenotypes is a powerful means for estimating many parameters of the genetic architecture for a trait and potentially identifying the genes responsible for natural variation. Typically, such experiments are conducted in a single mapping population and, therefore, have only the potential to reveal genomic regions that are polymorphic between the progenitors of the population. What remains unclear is how well the QTL identified in any one mapping experiment characterize the genetics that underlie natural variation in traits. Here we provide QTL mapping data for trichome density from four recombinant inbred mapping populations of Arabidopsis thaliana. By aligning the linkage maps for these four populations onto a common physical map, the results from each experiment were directly compared. Seven of the nine QTL identified are population specific while two were mapped in all four populations. Our results show that many lineage-specific alleles that either increase or decrease trichome density persist in natural populations and that most of this genetic variation is additive. More generally, these findings suggest that the use of multiple populations holds great promise for better understanding the genetic architecture of natural variation.     

Genetic analysis of traits distinguishing outcrossing and self-pollinating forms of currant tomato,Lycopersicon pimpinellifolium (Jusl.) Mill

The evolution of inbreeding is common throughout the angiosperms, although little is known about the developmental and genetic processes involved. Lycopersicon pimpinellifolium (currant tomato) is a self-compatible species with variation in outcrossing rate correlated with floral morphology. Mature flowers from inbreeding and outcrossing populations differ greatly in characters affecting mating behavior (petal, anther, and style lengths); other flower parts (sepals, ovaries) show minimal differences. Analysis of genetic behavior, including quantitative trait locus (QTL) mapping, was performed on representative selfing and outcrossing plants derived from two contrasting natural populations. Six morphological traits were analyzed: flowers per inflorescence; petal, anther, and style lengths; and lengths of the fertile and sterile portions of anthers. All traits were smaller in the selfing parent and had continuous patterns of segregation in the F(2). Phenotypic correlations among traits were all positive, but varied in strength. Quantitative trait locus mapping was done using 48 RFLP markers. Five QTL total were found involving four of the six traits: total anther length, anther sterile length, style length, and flowers per inflorescence. Each of these four traits had a QTL of major (>25%) effect on phenotypic variance.     

The molecular basis of quantitative genetic variation in natural populations

DNA markers allow us to study quantitative trait loci (QTL) - the genes that control adaptation and quantitative variation. Experiments can map the genes responsible for quantitative variation and address the evolutionary and ecological significance of this variation. Recent studies suggest that major genes segregate within and among natural populations. It is now feasible to study the genes that cause morphological variation, life history trade-offs, heterosis and speciation. These methods can determine the role of epistasis and genotype-by-environment interaction in maintaining genetic variation. QTL mapping is an important tool used to address evolutionary and ecological questions of long-standing interest.     

An association mapping approach to identify flowering time genes in natural populations of Lolium perenne (L.)

We describe an association mapping approach using natural populations of perennial ryegrass (Lolium perenne L.) to identify molecular markers associated with heading date, an important trait affecting seasonal production, tillering, digestibility and grassland management regimes. Twenty-three natural populations originating from throughout Europe, with heading date phenotypes ranging from very early to very late, as well as three synthetic populations (varieties) were used for molecular marker genotyping using AFLP. In total, 589 polymorphic markers were identified. Hierarchical clustering, principal coordinate and other statistical analyses identified four outlying populations forming a clearly distinct sub-group. Removal of those four populations from the subsequent analysis reduced population sub-structure twofold. However, this made relatively little difference to the result of the association analysis. Linear regression identified three markers whose frequency of occurrence correlated with the heading date phenotype. Moreover, these markers were shown to be closely linked to each other within a major QTL on Chromosome 7, explaining 70% of the total variation in heading date. Pairwise linkage disequilibrium among them was also significant. These results suggest that association mapping approaches may be feasible in L. perenne, and that the use of natural populations could provide a useful source of genetic variation in traits of importance in crop improvement.     

Six new recombinant inbred populations for the study of quantitative traits in Arabidopsis thaliana

Quantitative approaches are now widely used to study the genetic architecture of complex traits. However, most studies have been conducted in single mapping populations, which sample only a fraction of the natural allelic variation available within a gene pool and can identify only a subset of the loci controlling the traits. To enable the progress towards an understanding of the global genetic architecture of a broad range of complex traits, we have developed and characterised six new Arabidopsis thaliana recombinant inbred populations. To evaluate the utility of these populations for integrating analyses from multiple populations, we identified quantitative trait loci (QTL) controlling flowering time in vernalized plants growing in 16 h days. We used the physical positions of markers to align the linkage maps of our populations with those of six existing populations. We identified seven QTL in genomic locations coinciding with those identified in previous studies and in addition a further eight QTL were identified. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. An erratum to this article can be found at     

Mapping multiple QTL of different effects: comparison of a simple sequential testing strategy and multiple QTL mapping

The aim of this study was to explore, by computer simulation, the mapping of QTLs in a realistic but complex situation of many (linked) QTLs with different effects, and to compare two QTL mapping methods. A novel method to dissect genetic variation on multiple chromosomes using molecular markers in backcross and F₂ populations derived from inbred lines was suggested, and its properties tested using simulations. The rationale for this sequential testing method was to explicitly test for alternative genetic models. The method consists of a series of four basic statistical tests to decide whether variance was due to a single QTL, two QTLs, multiple QTLs, or polygenes, starting with a test to detect genetic variance associated with a particular chromosome. The method was able to distinguish between different QTL configurations, in that the probability to `detect' the correct model was high, varying from 0.75 to 1. For example, for a backcross population of 200 and an overall heritability of 50%, in 78% of replicates a polygenic model was detected when that was the underlying true model. To test the method for multiple chromosomes, QTLs were simulated on 10 chromosomes, following a geometric series of allele effects, assuming positive alleles were in coupling in the founder lines For these simulations, the sequential testing method was compared to the established Multiple QTL Mapping (MQM) method. For a backcross population of 400 individuals, power to detect genetic variance was low with both methods when the heritability was 0.40. For example, the power to detect genetic variation on a chromosome on which 6 QTLs explained 12.6% of the genetic variance, was less than 60% for both methods. For a large heritability (0.90), the power of MQM to detect genetic variance and to dissect QTL configurations was generally better, due to the simultaneous fitting of markers on all chromosomes. It is concluded that when testing different QTL configurations on a single chromosome using the sequential testing procedure, regions of other chromosomes which explain a significant amount of variation should be fitted in the model of analysis. This study reinforces the need for large experiments in plants and other species if the aim of a genome scan is to dissect quantitative genetic variation.     

Genetics of drought adaptation in Arabidopsis thaliana II. QTL analysis of a new mapping population, KAS-1 x TSU-1

Despite compelling evidence that adaptation to local climate is common in plant populations, little is known about the evolutionary genetics of traits that contribute to climatic adaptation. A screen of natural accessions of Arabidopsis thaliana revealed Tsu-1 and Kas-1 to be opposite extremes for water-use efficiency and climate at collection sites for these accessions differs greatly. To provide a tool to understand the genetic basis of this putative adaptation, Kas-1 and Tsu-1 were reciprocally crossed to create a new mapping population. Analysis of F(3) families showed segregating variation in both delta(13)C and transpiration rate, and as expected these traits had a negative genetic correlation (r(g)=- 0.3). 346 RILs, 148 with Kas-1 cytoplasm and 198 with Tsu-1 cytoplasm, were advanced to the F(9) and genotyped using 48 microsatellites and 55 SNPs for a total of 103 markers. This mapping population was used for QTL analysis of delta(13)C using F(9) RIL means. Analysis of this reciprocal cross showed a large effect of cytoplasmic background, as well as two QTL for delta(13)C. The Kas-1 x Tsu-1 mapping population provides a powerful new resource for mapping QTL underlying natural variation and for dissecting the genetic basis of water-use efficiency differences.