中国地鼠基因组微卫星富集文库的构建与分析

目的筛选中国地鼠微卫星位点,为中国地鼠种质资源的分类、进化等遗传研究奠定基础。方法中国地鼠基因组DNA经超声打碎,用2%琼脂糖凝胶电泳回收500～1000 bp的DNA片段,与SNX连接头连接,连接产物与生物素标记的14种微卫星探针变性及退火,再通过链亲和素偶联磁珠亲和捕捉,经吸附、洗涤及洗脱,然后以洗脱产物为模板,通过PCR扩增,与pGEM-T载体连接,转化大肠杆菌DH10B,构建中国地鼠微卫星DNA富集文库。结果测序结果发现,微卫星DNA序列的阳性克隆占70.3%。结论中国地鼠微卫星文库的建立和微卫星的筛选将为下一步进行中国地鼠遗传连锁图谱的构建、分子进化和系统发育研究提供大量的微卫星标记。     

商城肥鲵二碱基重复和四碱基重复微卫星DNA的结构特征及对筛选效率的影响

两栖类有尾目物种的微卫星分离中的筛选成功率常常较低。为探索微卫星结构对筛选效率的影响,本研究通过AFLP快速分离法(fast isolation by AFLP of sequences containing repeats,FIASCO)对商城肥鲵(Pachyhynobius shangchengensis)二碱基重复类型和四碱基重复类型微卫星进行分离,并对微卫星序列进行了分析。研究中发现二碱基微卫星位点多以微卫星DNA家族形式存在,并因此导致了微卫星位点分离较低的筛选率;在四碱基重复的微卫星位点中未发现微卫星DNA家族的存在。对研究中得到的3个微卫星DNA家族的分析发现,同一家族的上、下游侧翼序列变异程度存在差异;毗邻微卫星重复单元区的侧翼序列碱基变异程度较高,而较远处的区段则相对保守。这些结构特征可能反映出微卫星DNA家族在演化中的复杂性。本文的研究结果提示在两栖动物的一些类群中,微卫星的筛选必须考虑微卫星DNA家族的影响,选取适宜的碱基重复类型将是决定筛选效率的关键。     

微卫星标记及其在鸟类中的应用

微卫星DNA作为一种分子标记,以其诸多优点被认为是各类遗传标记中最有价值的一种。目前已被广泛应用于鸟类的研究中。本文介绍了微卫星DNA标记的分布特点、突变机制和作为分子标记的特点,并综述了微卫星DNA标记在鸟类的亲权分析及种类鉴定、遗传图谱构建及基因定位、物种进化历史揭示和遗传多样性研究中应用现状。     

微卫星DNA标记技术及其在昆虫学上的应用

综述微卫星DNA标记技术在昆虫特定基因定位、种群遗传结构及分化、近缘物种的区分、昆虫生态特性的系统进化以及微卫星基因图谱的绘制等领域中的应用。     

巴氏蘑菇微卫星序列的分离及其对Co60辐射诱变菌株的鉴别

根据链霉素磁珠和生物素特异结合的特性,用生物素标记的二聚核苷酸重复序列探针从巴氏蘑菇的基因组中分离微卫星序列。将结合于链霉素磁珠上的标记探针同两端连接已知序列人工接头的巴氏蘑菇DNA酶切片段杂交。洗脱未杂交DNA片段后,用磁珠富集的片段建立微卫星文库。挑取522个菌落用对应重复序列为引物进行PCR筛选,得到48个阳性克隆,经测序有32个菌落含微卫星序列。微卫星富集效率为阳性克隆数的67%,总克隆数的6%。除去重复或无效的微卫星序列,在设计出的12对用于鉴别85个巴氏蘑菇的Co60辐射变异株微卫星引物中,有4对引物总共扩增出明显的变异菌株17个。证明有些微卫星位点可用于巴氏蘑菇辐射变异品种的指纹筛选与鉴别。     

植物不同种属间共用微卫星引物的研究

微卫星标记是近年来发展起来的建立在PCR基础卜的第二代分子标记,具有分布均匀、多态性高、共显性、选择中性等优点,已用于品种鉴定、构建连锁图谱、构建物理图谱、遗传多样性、居群和进化等方面的研究。由于来源于数据库的微卫星序列不能代表整个基因组微卫星的分布情况,而且数据库中的DNA序列仅局限于一些模式植物及经济作物。同时,通过基因组文库筛选获得微卫星序列既耗时又耗资。最近有很多研究表明,从某种植物来的微卫星引物可用于其近缘物种的扩增。本文概括介绍了植物不同种属间共用微卫星引物的研究情况及意义。     

DHPLC系统工作原理及其应用

变性高效液相色谱(DHPLC)是一种高通量筛选DNA序列变异的新技术,从该仪器设备的组成、工作原理、基本操作方法、主要技术特点等作一综述,并对其在基因组领域的应用如SNP分析、双链DNA片段分析、微卫星分析、mRNA定量分析、引物纯度检测等方面及在医学、遗传学方面的应用作了较详细的综述。     

七鳃鳗遗传多样性与演化研究进展

七鳃鳗(Petromyzonidae)是目前已知最古老的脊椎动物中惟一的幸存者.对其资源保护和演化发育生物学的研究正日益受到重视.本文从染色体、蛋白质和DNA水平总结近年来七鳃鳗遗传多样性与演化方面的研究进展.重点介绍了限制性酶切片段长度多态性、DNA随机扩增多态性、DNA扩增片段长度多态性、微卫星DNA标记等技术及线粒体DNA和功能基因研究应用于七鳃鳗种群遗传多样性、遗传分化、遗传结构、种质鉴定与渔业资源管理及系统进化等方面的新进展.     

鲸类保护遗传学研究进展

简要介绍了mtDNA的PCR直接测序、微卫星microsatellite DNA分型、组织相容性复合体（major histocompatibility complex,MHC)分析等DNA分子标记技术在鲸类遗传变异、种群结构、进化历史、个体识别、亲缘鉴定及系统分类等保护遗传学领域的应用。     

MICA基因微卫星多态在中国13个群体中的分布

通过对中国13个群体（云南汉族、广东汉族、山东汉族、白族、傣族、拉祜族、黎族、纳西族、撒拉族、畲族、土族、佤族和云南藏族）共577例无亲缘关系的研究对象的DNA样本进行MICA基因微卫星扫描分型,获得了该微卫星的不同等位基因在各群体中的遗传数据。结果表明,该微卫星在不同群体中的分布存在差异,并有较高的多态信息含量（PIC）,是一个有用的遗传标记,在人类进化研究、个体识别、亲子鉴定、基因作图与定位以及疾病诊断方面可能有较大的潜在应用价值。     

Low abundance of Escherichia coli microsatellites is associated with an extremely low mutation rate

It is widely assumed that microsatellites are generated by replication slippage, a mutation process specific to repetitive DNA. Consistent with their high mutation rate, microsatellites are highly abundant in most eukaryotic genomes. In Escherichia coli, however, microsatellites are rare and short despite the fact that a high microsatellite mutation rate was described. We show that this high microsatellite instability depends on the presence of the F-plasmid. E. coli cells lacking the F-plasmid have extremely low microsatellite mutation rates. This result provides a possible explanation for the genome-wide low density of microsatellites in E. coli. Furthermore, we show that the F-plasmid induced microsatellite instability is independent of the mismatch repair pathway.     

Long microsatellite alleles in Drosophila melanogaster have a downward mutation bias and short persistence times, which cause their genome-wide underrepresentation

Microsatellites are short tandemly repeated DNA sequence motifs that are highly variable in most organisms. In contrast to mammals, long microsatellites (>15 repeats) are extremely rare in the Drosophila melanogaster genome. To investigate this paucity of long microsatellites in Drosophila, we studied 19 loci with exceptionally long microsatellite alleles. Inter- and intraspecific analysis showed that long microsatellite alleles arose in D. melanogaster only very recently. This lack of old alleles with many repeats indicated that long microsatellite alleles have short persistence times. The size distribution of microsatellite mutations in mutation-accumulation lines suggests that long alleles have a mutation bias toward a reduction in the number of repeat units. This bias causes the short persistence times of long microsatellite alleles. We propose that species-specific, size-dependent mutation spectra of microsatellite alleles may provide a general mechanism to account for the observed differences in microsatellite length between species.     

Silene tatarica microsatellites are frequently located in repetitive DNA

The genomic distribution of microsatellites can be explained by DNA slippage, slippage like processes and base substitutions. Nevertheless, microsatellites are also frequently associated with repetitive DNA, raising the question of the relative contributions of these processes to microsatellite genesis. We show that in Silene tatarica about 50% of the microsatellites isolated by an enrichment cloning protocol are associated with repetitive DNA. Based on the flanking sequences, we distinguished seven different classes of repetitive DNA. PCR primers designed for the flanking sequences of an individual clone amplified a heterogeneous family of repetitive DNA. Despite considerable variation in the flanking sequence (pi = 0.108), the microsatellite repeats did not show any evidence for decay. Rather, we observed the emergence of a new repeat type that probably arose by mutation and was spread by replication slippage. In fact, a complete repeat type switch could be observed among the analysed clones. We propose that the analysis of microsatellite sequences embedded in repetitive DNA provides a hitherto largely unexplored tool to study microsatellite evolution.     

Evolution of chloroplast mononucleotide microsatellites in Arabidopsis thaliana

The level of variation and the mutation rate were investigated in an empirical study of 244 chloroplast microsatellites in 15 accessions of Arabidopsis thaliana. In contrast to SNP variation, microsatellite variation in the chloroplast was found to be common, although less common than microsatellite variation in the nucleus. No microsatellite variation was found in coding regions of the chloroplast. To evaluate different models of microsatellite evolution as possible explanations for the observed pattern of variation, the length distribution of microsatellites in the published DNA sequence of the A. thaliana chloroplast was subsequently used. By combining information from these two analyses we found that the mode of evolution of the chloroplast mononucleotide microsatellites was best described by a linear relation between repeat length and mutation rate, when the repeat lengths exceeded about 7 bp. This model can readily predict the variation observed in non-coding chloroplast DNA. It was found that the number of uninterrupted repeat units had a large impact on the level of chloroplast microsatellite variation. No other factors investigated—such as the position of a locus within the chromosome, or imperfect repeats—appeared to affect the variability of chloroplast microsatellites. By fitting the slippage models to the Genbank sequence of chromosome 1, we show that the difference between microsatellite variation in the nucleus and the chloroplast is largely due to differences in slippage rate. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

Evolutionary dynamics of microsatellite DNA

Within the past decade microsatellites have developed into one of the most popular genetic markers. Despite the widespread use of microsatellite analysis, an integral picture of the mutational dynamics of microsatellite DNA is just beginning to emerge. Here, I review both generally agreed and controversial results about the mutational dynamics of microsatellite DNA. Microsatellites are short DNA sequence stretches in which a motif of one to six bases is tandemly repeated. It has been known for some time that these sequences can differ in repeat number among individuals. With the advent of polymerase chain reaction (PCR) technology this property of microsatellite DNA was converted into a highly versatile genetic marker (Litt and Luty 1989; Tautz 1989; Weber and May 1989). Polymerase chain reaction products of different length can be amplified with primers flanking the variable microsatellite region. Due to the availability of high-throughput capillary sequencers or mass spectrography the sizing of alleles is no longer a bottleneck in microsatellite analysis. The almost random distribution of microsatellites and their high level of polymorphism greatly facilitated the construction of genetic maps (Dietrich et al. 1994; Dib et al. 1996) and enabled subsequent positional cloning of several genes. Almost at the same time, microsatellites were established as the marker of choice for the identification of individuals and paternity testing. The high sensitivity of PCR-based microsatellite analysis was not only of great benefit for forensics, but opened completely new research areas, such as the analysis of samples with limited DNA amounts (e.g., many social insects) or degraded DNA (e.g., feces, museum material) (Schl?tterer and Pemberton 1998). More recently, microsatellite analysis has also been employed in population genetics (Goldstein and Schl?tterer 1999). Compared with allozymes, microsatellites offer the advantage that, in principle, several thousand potentially polymorphic markers are available. Nevertheless, the application of microsatellites to population genetic questions requires a more detailed understanding of the mutation processes of microsatellite DNA as the evolutionary time frames covered in population genetics are often too long to allow novel microsatellite mutations to be ignored. Additional interest in the evolution of microsatellite DNA comes from the discovery that trinucleotide repeats, a special class of microsatellites, are involved in human neurodegenerative diseases (e.g., fragile X and Huntington's disease). A detailed understanding of the processes underlying microsatellite instability is therefore an important contribution toward a better understanding of these human neurodegenerative diseases.     

Evidence for widespread convergent evolution around human microsatellites

Microsatellites are a major component of the human genome, and their evolution has been much studied. However, the evolution of microsatellite flanking sequences has received less attention, with reports of both high and low mutation rates and of a tendency for microsatellites to cluster. From the human genome we generated a database of many thousands of (AC)_n flanking sequences within which we searched for common characteristics. Sequences flanking microsatellites of similar length show remarkable levels of convergent evolution, indicating shared mutational biases. These biases extend 25–50 bases either side of the microsatellite and may therefore affect more than 30% of the entire genome. To explore the extent and absolute strength of these effects, we quantified the observed convergence. We also compared homologous human and chimpanzee loci to look for evidence of changes in mutation rate around microsatellites. Most models of DNA sequence evolution assume that mutations are independent and occur randomly. Allowances may be made for sites mutating at different rates and for general mutation biases such as the faster rate of transitions over transversions. Our analysis suggests that these models may be inadequate, in that proximity to even very short microsatellites may alter the rate and distribution of mutations that occur. The elevated local mutation rate combined with sequence convergence, both of which we find evidence for, also provide a possible resolution for the apparently contradictory inferences of mutation rates in microsatellite flanking sequences.     

Determining microsatellite genotyping reliability and mutation detection ability: an approach using small-pool PCR from sperm DNA

Microsatellite genotyping from trace DNA is now common in fields as diverse as medicine, forensics and wildlife genetics. Conversely, small-pool PCR (SP-PCR) has been used to investigate microsatellite mutation mechanisms in human DNA, but has had only limited application to non-human species. Trace DNA and SP-PCR studies share many challenges, including problems associated with allelic drop-out, false alleles and other PCR artefacts, and the need to reliably identify genuine alleles and/or mutations. We provide a framework for the validation of such studies without a multiple tube approach and demonstrate the utility of that approach with an analysis of microsatellite mutations in the tammar wallaby (Macropus eugenii). Specifically, we amplified three autosomal microsatellites from somatic DNA to characterise efficiency and reliability of PCR from low-template DNA. Reconstruction experiments determined our ability to discriminate mutations from parental alleles. We then developed rules to guide data interpretation. We estimated mutation rates in sperm DNA to range from 1.5 × 10⁻² to 2.2 × 10⁻³ mutations per locus per generation. Large multi-step mutations were observed, providing evidence for complex mutation processes at microsatellites and potentially violating key assumptions in the stepwise mutation model. Our data demonstrate the necessity of actively searching for large mutation events when investigating microsatellite evolution and highlight the need for a thorough understanding of microsatellite amplification characteristics before embarking on SP-PCR or trace DNA studies.     

Distribution of dinucleotide microsatellites in the Drosophila melanogaster genome.

Microsatellites, a special class of repetitive DNA, have become one of the most popular genetic markers. The progress of various genome projects has made it possible to study the genomic distribution of microsatellites and to evaluate the potential influence of several parameters on their genesis. We report the distribution of dinucleotide microsatellites in the genome of Drosophila melanogaster. When considering only microsatellites with five or more repeat units, the average length of dinucleotide repeats in D. melanogaster is 6.7 repeats. We tested a wide range of parameters which could potentially influence microsatellite density, and we did not detect a significant influence of recombination rate, number of exons, or total length of coding sequence. In concordance with the neutral expectation for the origin of microsatellites, a significant positive correlation between AT content and (AT/TA)n microsatellite density was detected. While this pattern may indicate that microsatellite genesis is a random process, we also found evidence for a nonrandom distribution of microsatellites. Average microsatellite density was higher on the X chromosome, but extreme heterogeneity was observed between different genomic regions. Such a clumping of microsatellites was also evident on a more local scale, as 38.9% of the contiguous sequences analyzed showed a deviation from a random distribution of microsatellites.     

MICROSATELLITE EVOLUTION IN VERTEBRATES: INFERENCE FROM AC DINUCLEOTIDE REPEATS

Abstract We analyze published data from 592 AC microsatellite loci from 98 species in five vertebrate classes including fish, reptiles, amphibians, birds, and mammals. We use these data to address nine major questions about microsatellite evolution. First, we find that larger genomes do not have more microsatellite loci and therefore reject the hypothesis that microsatellites function primarily to package DNA into chromosomes. Second, we confirm that microsatellite loci are relatively rare in avian genomes, but reject the hypothesis that this is due to physical constraints imposed by flight. Third, we find that microsatellite variation differs among species within classes, possibly relating to population dynamics. Fourth, we reject the hypothesis that microsatellite structure (length, number of alleles, allele dispersion, range in allele sizes) differs between poikilotherms and homeotherms. The difference is found only in fish, which have longer microsatellites and more alleles than the other classes. Fifth, we find that the range in microsatellite allele size at a locus is largely due to the number of alleles and secondarily to allele dispersion. Sixth, length is a major factor influencing mutation rate. Seventh, there is a directional mutation toward an increase in microsatellite length. Eighth, at the species level, microsatellite and allozyme heterozygosity covary and therefore inferences based on large-scale studies of allozyme variation may also reflect microsatellite genetic diversity. Finally, published microsatellite loci (isolated using conventional hybridization methods) provide a biased estimate of the actual mean repeat length of microsatellites in the genome.     

Characterization of Demographic Expansions From Pairwise Comparisons of Linked Microsatellite Haplotypes

This work extends the methods of demographic inference based on the distribution of pairwise genetic differences between individuals (mismatch distribution) to the case of linked microsatellite data. Population genetics theory describes the distribution of mutations among a sample of genes under different demographic scenarios. However, the actual number of mutations can rarely be deduced from DNA polymorphisms. The inclusion of mutation models in theoretical predictions can improve the performance of statistical methods. We have developed a maximum-pseudolikelihood estimator for the parameters that characterize a demographic expansion for a series of linked loci evolving under a stepwise mutation model. Those loci would correspond to DNA polymorphisms of linked microsatellites (such as those found on the Y chromosome or the chloroplast genome). The proposed method was evaluated with simulated data sets and with a data set of chloroplast microsatellites that showed signal for demographic expansion in a previous study. The results show that inclusion of a mutational model in the analysis improves the estimates of the age of expansion in the case of older expansions.