The mutation rates of di-, tri- and tetranucleotide repeats in Drosophila melanogaster

In a recent study, we reported that the combined average mutation rate of 10 di-, 6 tri-, and 8 tetranucleotide repeats in Drosophila melanogaster was 6.3 x 10(-6) mutations per locus per generation, a rate substantially below that of microsatellite repeat units in mammals studied to date (range = 10(-2)-10(-5) per locus per generation). To obtain a more precise estimate of mutation rate for dinucleotide repeat motifs alone, we assayed 39 new dinucleotide repeat microsatellite loci in the mutation accumulation lines from our earlier study. Our estimate of mutation rate for a total of 49 dinucleotide repeats is 9.3 x 10(-6) per locus per generation, only slightly higher than the estimate from our earlier study. We also estimated the relative difference in microsatellite mutation rate among di-, tri-, and tetranucleotide repeats in the genome of D. melanogaster using a method based on population variation, and we found that tri- and tetranucleotide repeats mutate at rates 6.4 and 8.4 times slower than that of dinucleotide repeats, respectively. The slower mutation rates of tri- and tetranucleotide repeats appear to be associated with a relatively short repeat unit length of these repeat motifs in the genome of D. melanogaster. A positive correlation between repeat unit length and allelic variation suggests that mutation rate increases as the repeat unit lengths of microsatellites increase.      

桉树EST序列中微卫星含量及相关特征

通过对桉树属（Eucalyptus）的10000条EST序列进行分析,在其中的1499条序列上共发现1775个微卫星重复序列。含有微卫星的EST序列约占序列总数的15%。此外,还发现桉树EST序列所含微卫星长度的变异速率与重复单元长度呈负相关;微卫星的丰度与重复单元长度也呈负相关（三碱基重复微卫星除外）。在桉树EST序列中,重复单元长度为三碱基的微卫星最为丰富。三碱基重复单元微卫星的过度富集可能是由于遗传密码选择所致。在微卫星的丰度及长度变异方面,桉树EST序列与杨树（Populus trichocarpa）基因组注释的转录序列随重复单元长度的变化呈现出相同的规律,但桉树EST序列中微卫星频率及三碱基重复微卫星的含量显著偏低,推测含微卫星的基因表达丰度极有可能低于不含微卫星的基因。通过对发现的所有微卫星位点进行引物设计,并对设计的引物进行PCR检测,结果表明所设计的引物具有极高的扩增成功率。     

桉树EST序列中微卫星含量及相关特征

通过对桉树属(Eucalyptus)的10 000条EST序列进行分析, 在其中的1 499条序列上共发现1 775个微卫星重复序列。含有微卫星的EST序列约占序列总数的15%。此外, 还发现桉树EST序列所含微卫星长度的变异速率与重复单元长度呈负相关; 微卫星的丰度与重复单元长度也呈负相关(三碱基重复微卫星除外)。在桉树EST序列中, 重复单元长度为三碱基的微卫星最为丰富。三碱基重复单元微卫星的过度富集可能是由于遗传密码选择所致。在微卫星的丰度及长度变异方面, 桉树EST序列与杨树(Populus trichocarpa)基因组注释的转录序列随重复单元长度的变化呈现出相同的规律, 但桉树EST序列中微卫星频率及三碱基重复微卫星的含量显著偏低, 推测含微卫星的基因表达丰度极有可能低于不含微卫星的基因。通过对发现的所有微卫星位点进行引物设计, 并对设计的引物进行PCR检测, 结果表明所设计的引物具有极高的扩增成功率。     

Targeted development of informative microsatellite (SSR) markers

We describe a novel approach, selectively amplified microsatellite (SAM) analysis, for the targeted development of informative simple sequence repeat (SSR) markers. A modified selectively amplified microsatellite polymorphic loci assay is used to generate multi-locus SSR fingerprints that provide a source of polymorphic DNA markers (SAMs) for use in genetic studies. These polymorphisms capture the repeat length variation associated with SSRs and allow their chromosomal location to be determined prior to the expense of isolating and characterising individual loci. SAMs can then be converted to locus-specific SSR markers with the design and synthesis of a single primer specific to the conserved region flanking the repeat. This approach offers a cost-efficient and rapid method for developing SSR markers for predetermined chromosomal locations and of potential informativeness. The high recovery rate of useful SSR markers makes this strategy a valuable tool for population and genetic mapping studies. The utility of SAM analysis was demonstrated by the development of SSR markers in bread wheat.     

Characterisation and analysis of microsatellite loci in a mangrove species, Avicennia marina (Forsk.) Vierh. (Avicenniaceae)

An enriched microsatellite library of the mangrove species Avicennia marina was constructed, in which 85.8% of the clones contained microsatellite sequences. Of the microsatellite repeat sequences isolated, 55.0% were di-nucleotides, 34.2% were tri-nucleotides, 50.0% were perfect, 24.2% were imperfect, and 15.0% were compound. Four different di-nucleotide repeats were isolated with repeat lengths ranging from 5 to 33; ten different tri-nucleotide repeats were isolated with repeat lengths ranging from 3 to 25. The most common di-nucleotide was the AC/TG repeat; the most common tri-nucleotide was the CCG/GGC repeat. Sixteen microsatellite sequences were selected for primer design, and 6 primers were selected to investigate the polymorphism detected among 15 individuals of A. marina from three natural populations in Australia. A total of 40 alleles were detected at 6 microsatellite loci. The number of alleles per microsatellite locus ranged from 5 to 13. On average, 7 alleles were detected per locus. All microsatellite loci showed high levels of gene diversity (heterozygosity), with values ranging from 0.53 to 0.88; the mean value of gene diversity was 0.70. Microsatellite loci were also tested for conservation across Avicennia species. There was a decline in amplification success with increasing divergence between Avicennia species. The results indicate that microsatellites are abundant in the Avicennia genome and can be valuable genetic markers for assessing the effects of deforestation and forest fragmentation in mangrove communities, which is an important issue for mangrove conservation and afforestation schemes. Received: 8 June 1999 / Accepted: 21 September 1999     

Lessons learned from microsatellite development for nonmodel organisms using 454 pyrosequencing

Microsatellites, also known as simple sequence repeats (SSRs), are among the most commonly used marker types in evolutionary and ecological studies. Next Generation Sequencing techniques such as 454 pyrosequencing allow the rapid development of microsatellite markers in nonmodel organisms. 454 pyrosequencing is a straightforward approach to develop a high number of microsatellite markers. Therefore, developing microsatellites using 454 pyrosequencing has become the method of choice for marker development. Here, we describe a user friendly way of microsatellite development from 454 pyrosequencing data and analyse data sets of 17 nonmodel species (plants, fungi, invertebrates, birds and a mammal) for microsatellite repeats and flanking regions suitable for primer development. We then compare the numbers of successfully lab‐tested microsatellite markers for the various species and furthermore describe diverse challenges that might arise in different study species, for example, large genome size or nonpure extraction of genomic DNA. Successful primer identification was feasible for all species. We found that in species for which large repeat numbers are uncommon, such as fungi, polymorphic markers can nevertheless be developed from 454 pyrosequencing reads containing small repeat numbers (five to six repeats). Furthermore, the development of microsatellite markers for species with large genomes was also with Next Generation Sequencing techniques more cost and time‐consuming than for species with smaller genomes. In this study, we showed that depending on the species, a different amount of 454 pyrosequencing data might be required for successful identification of a sufficient number of microsatellite markers for ecological genetic studies.     

Polymorphic microsatellite and cryptic simple repeat sequence markers in pineapples (Ananas comosus var. comosus)

A rapid method for isolating microsatellite loci in pineapples, based on the 5′‐anchored polymerase chain reaction technique, revealed 137 microsatellite loci (consisting of 62 dinucleotide, 24 trinucleotide, 49 tetranucleotide and 2 hexanucleotide repeats) and 16 cryptically simple repeat sequences. We report on the characterization of 19 polymorphic microsatellite loci and one cryptic simple repeat loci in pineapples. The number of alleles per locus ranged from two to four while the observed heterozygosity ranged from 0.1705 to 1. These markers are useful as tools for detecting levels of genetic variation in pineapple varieties for germplasm management and crossbreeding purposes.     

Sequence tagged microsatellite profiling (STMP): improved isolation of DNA sequence flanking target SSRs

Sequence tagged microsatellite profiling (STMP) enables the rapid development of large numbers of co-dominant DNA markers, known as sequence tagged microsatellites (STMs). Each STM is amplified by PCR using a single primer specific to the conserved DNA sequence flanking the microsatellite repeat in combination with a universal primer that anchors to the 5′-ends of the microsatellites. It is also possible to convert STMs into conventional microsatellite, or simple sequence repeat (SSR), markers that are amplified using a pair of primers flanking the repeat sequence. Here, we describe a modification of the STMP procedure to significantly improve the capacity to convert STMs into conventional SSRs and, therefore, facilitate the development of highly specific DNA markers for purposes such as marker-assisted breeding. The usefulness of this technique was demonstrated in bread wheat.     

Map and analysis of microsatellites in the genome of <Emphasis Type="Italic">Populus</Emphasis>: The first sequenced perennial plant

We mapped and analyzed the microsatellites throughout 284295605 base pairs of the unambiguously assembled sequence scaffolds along 19 chromosomes of the haploid poplar genome. Totally, we found 150985 SSRs with repeat unit lengths between 2 and 5 bp. The established microsatellite physical map demonstrated that SSRs were distributed relatively evenly across the genome of Populus. On average, These SSRs occurred every 1883 bp within the poplar genome and the SSR densities in intergenic regions, introns, exons and UTRs were 85.4%, 10.7%, 2.7% and 1.2%, respectively. We took di-, tri-, tetra-and pentamers as the four classes of repeat units and found that the density of each class of SSRs decreased with the repeat unit lengths except for the tetranucleotide repeats. It was noteworthy that the length diversification of microsatellite sequences was negatively correlated with their repeat unit length and the SSRs with shorter repeat units gained repeats faster than the SSRs with longer repeat units. We also found that the GC content of poplar sequence significantly correlated with densities of SSRs with uneven repeat unit lengths (tri-and penta-), but had no significant correlation with densities of SSRs with even repeat unit lengths (di-and tetra-). In poplar genome, there were evidences that the occurrence of different microsatellites was under selection and the GC content in SSR sequences was found to significantly relate to the functional importance of microsatellites.     

Map and analysis of microsatellites in the genome of Populus: The first sequenced perennial plant

Environmental Sciences Division, Oak Ridge National Laboratory, TN, USA We mapped and analyzed the microsatellites throughout 284295605 base pairs of the unambiguously assembled sequence scaffolds along 19 chromosomes of the haploid poplar genome. Totally, we found 150985 SSRs with repeat unit lengths between 2 and 5 bp. The established microsatellite physical map demonstrated tr at SSRs were distributed relatively evenly across the genome of Populus. On average, These SSRs occurred every 1883 bp within the poplar genome and the SSR densities in intergenic regions, introns, exons and UTRs were 85.4%, 10.7%, 2.7% and 1.2%, respectively. We took di-, tri-, tetra-and pentamers as the four classes of repeat units and found that the density of each class of SSRs decreased with the repeat unit lengths except for the tetranucleotide repeats. It was noteworthy that the length diversification of microsatellite sequences was negatively correlated with their repeat unit length and the SSRs with shorter repeat units gained repeats faster than the SSRs with longer repeat units. We also found that the GC content of poplar sequence significantly correlated with densities of SSRs with uneven repeat unit lengths (tri-and penta-), but had no significant correlation with densities of SSRs with even repeat unit lengths (di-and tetra-). In poplar genome, there were evidences that the occurrence of different microsatellites was under selection and the GC content in SSR sequences was found to significantly relate to the functional importance of microsatellites.     

Sequence-tagged site markers for microsatellites: Simplified technique for rapidly obtaining flanking sequences

A sequencing strategy is described for the rapid recovery of DNA sequences flanking repeat sequences of microsatellites in plant nuclear genomes. Primers that represent a perfect microsatellite repeat and end in a 3′ degenerate base have been used to sequence directly from microsatellite repeats in one direction. The procedure allows the design of one flanking primer that is then used to sequence back through the repeat to define the microsatellite site precisely and also provides for the design of the second flanking primer. The strategy is versatile with various repeat sizes and different categories of microsatellites; perfect, imperfect, and compound were found to be suitable templates for analysis.     

Microsatellite evolution--a reciprocal study of repeat lengths at homologous loci in cattle and sheep

The application of microsatellites in evolutionary studies requires an understanding of the patterns governing their evolution in different species. The finding that homologous microsatellite loci are longer, i.e., containing more repeat units, in human and in other primates has been taken as evidence for directional microsatellite evolution and for a difference in the rate of evolution between species. However, it has been argued that this finding is an inevitable consequence of biased selection of longer-than-average microsatellites in human, because cloning procedures are adopted to generate polymorphic and, hence, long markers. As a test of this hypothesis, we conducted a reciprocal comparison of the lengths of microsatellite loci in cattle and sheep using markers derived from the bovine genome as well as the ovine genome. In both cases, amplification products were longer in the focal species, and loci were also more polymorphic in the species from which they were originally cloned. The crossing pattern that we found suggests that interspecific length differences detected at homologous microsatellite loci are the result of biased selection of loci associated with cloning procedures. Hence, comparisons of microsatellite evolution between species are flawed unless they are based on reciprocal analyses or on genuinely random selection of loci with respect to repeat length.      

Development and characterization of microsatellite markers for Cryptomeria japonica D.Don

Thirty four microsatellite markers for Cryptomeria japonica D. Don were developed by searching three types of library: a database of C. japonica cDNA sequences, a standard non-enriched genomic DNA library and a microsatellite-enriched library using magnetic particles. The enrichment of microsatellite sequences using magnetic particles is very efficient compared to the other two methods both in terms of the numbers of markers generated, and in the polymorphism they detect. The microsatellites developed from the genomic DNA library generally have longer repeat sequences and are more polymorphic than those from cDNA. All the developed microsatellite markers in this study showed polymorphism among 28 plus trees selected from locations scattered throughout Japan. The mean number of alleles per locus (MNA) detected in the 28 plus trees ranged from 2 to 21 with an average of 7.5. The Polymorphism Information Content (PIC) ranged from 0.160 to 0.936 with an average of 0.666. Co-dominant segregation of alleles in a three-generation pedigree of C. japonica was demonstrated at 34 microsatellite loci, and the segregation was not distorted from Mendelian expectation for all loci. In 12 out of 34 loci, a null allele was detected. Key relationships between polymorphic parameters, such as MNA and PIC, and the characteristics of microsatellite sequences, such as the longest repeat number, total repeat number and total number of nucleotides, were investigated using rank correlation coefficients, Kendall's tau. A positive correlation was found between repeat lengths and polymorphisms. The markers provide sufficient resolution for investigating gene flow within forests and seed orchards, and for genome mapping.     

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.     

Human DNA polymorphisms and methods of analysis.

The current predominant method of analyzing base substitution polymorphisms, RFLP analysis, is likely to be gradually supplanted by methods based on PCR because of the improved sensitivity and genotyping rate. The most promising PCR methods for analysis appear to be allele-specific PCR and single-stranded conformational analysis. The single-stranded conformation approach has already been applied to the scanning of cystic fibrosis exons for new mutations. Linkage mapping projects that cover large segments of the human genome will probably rely, in the coming years, primarily on tandem repeat polymorphisms, particularly microsatellite polymorphisms. Microsatellite polymorphisms have at least a fourfold advantage over base substitution RFLPs because they are twice as informative and can be typed at at least twice the rate. The facioscapulohumeral muscular dystrophy gene was recently mapped in just 6 weeks using microsatellite polymorphisms. Because of the informativeness handicap, it will be difficult for base substitution polymorphisms to overtake tandem repeat markers for large-scale linkage mapping. Methods that allow base substitution polymorphisms to be typed at two or three times the rate of microsatellite markers would have to be developed. Most of the other applications of DNA polymorphisms described in the introduction are also increasingly likely to rely on highly informative tandem repeat markers in the future. Methods for analysis will probably be based on PCR. It is easy to envisage, for example, an automated method for large-scale DNA fingerprinting of individuals based upon a standard set of highly informative, dependable microsatellite polymorphisms. Methods for analyzing base substitution polymorphisms will continue to be important for the diagnostic detection of disease-gene alleles.(ABSTRACT TRUNCATED AT 250 WORDS)     

A rapid method for detection of plant genomic instability using unanchored-microsatellite primers

In order to assess the feasibility of microsatellite primers as markers for genomic instability, we conducted a study of DNA stability in cauliflower callus. A protocol is described for the rapid screening of a large number of putative variant calli and plants. Genomic DNA is isolated and screened by microsatellite primers. We believe that inter-simple sequence repeat PCRs can conveniently detect and measure common genetic events underlying plant genomic instability. These include deletions, amplifications, translocations, insertions, recombination or chemical alterations. Our results indicate that instability occurred in an early step in the process of callogenesis. The technique is fast, reproducible, and is a new application for ISSR markers.     

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。     

组织中少量细胞的微卫星长度精细分析

微卫星是基因组上的特殊短重复序列,微卫星不稳定的程度与一些肿瘤的分型、治疗和预后相关。目前,微卫星长度变化的检测往往是基于大量细胞,检测灵敏度低。本文整合激光显微切割技术,基于多次退火环状循环扩增（multiple annealing and looping-based amplification cycles, MALBAC）的单细胞全基因组放大技术和毛细管电泳长度测量方法,经过关键技术点的改进,建立了一套针对组织中少量细胞的多微卫星位点检测方法。研究结果表明,基于技术改进,HE染色的组织细胞经激光显微切割分选后,可成功用MALBAC技术进行全基因组放大,并在多微卫星位点的检测上,获得了高度的准确性和重复性。利用所建立的方法,发现肠型胃癌早期病变组织-肠上皮化生（intestinal metaplasia, IM）的单个腺体内部出现多种长度变化的微卫星改变,说明该癌前病变组织中DNA错配修复系统已经出现问题。本方法所获得的全基因组放大产物,也可以用于外显子组测序和全基因组测序。另外,该方法适用于任何组织的少量细胞,甚至单细胞的多微卫星位点检测,以及全基因组的研究,为精细研究少量病变细胞的基因组特征以及组织异质性提供了有效的方法。     

Simultaneous estimation of all the parameters of a stepwise mutation model.

Minisatellite and microsatellite are short tandemly repetitive sequences dispersed in eukaryotic genomes, many of which are highly polymorphic due to copy number variation of the repeats. Because mutation changes copy numbers of the repeat sequences in a generalized stepwise fashion, stepwise mutation models are widely used for studying the dynamics of these loci. We propose a minimum chi-square (MCS) method for simultaneous estimation of all the parameters in a stepwise mutation model and the ancestral allelic type of a sample. The MCS estimator requires knowing the mean number of alleles of a certain size in a sample, which can be estimated using Monte Carlo samples generated by a coalescent algorithm. The method is applied to samples of seven (CA)n repeat loci from eight human populations and one chimpanzee population. The estimated values of parameters suggest that there is a general tendency for microsatellite alleles to expand in size, because (1) each mutation has a slight tendency to cause size increase and (2) the mean size increase is larger than the mean size decrease for a mutation. Our estimates also suggest that most of these CA-repeat loci evolve according to multistep mutation models rather than single-step mutation models. We also introduced several quantities for measuring the quality of the estimation of ancestral allelic type, and it appears that the majority of the estimated ancestral allelic types are reasonably accurate. Implications of our analysis and potential extensions of the method are discussed.SINCE the discovery that a large number of loci with tandemly repeated sequences in human and many eukaryote species are highly polymorphic because of copy number variation of the repeats in different individuals (Jeffreys 1985; Litt and Luty 1989; Weber and May 1989), allele size data from such loci are rapidly becoming the dominant source of genetic markers for genome mapping, forensic testing, and population studies. Loci with repeat sequences longer than 5 bp are generally referred to as minisatellite or variable number tandem repeat loci, and those with repeat sequences between 2 to 5 bp are referred to as microsatellite or short tandem repeat loci (Tautz 1993). Because mutations change the copy number of such loci in a stepwise fashion, rapid accumulation of population samples from minisatellite and microsatellite loci has resurrected the interest of the stepwise mutation model (SMM), which was popular in the 1970s.     

Joint inference of microsatellite mutation models, population history and genealogies using transdimensional Markov Chain Monte Carlo

We provide a framework for Bayesian coalescent inference from microsatellite data that enables inference of population history parameters averaged over microsatellite mutation models. To achieve this we first implemented a rich family of microsatellite mutation models and related components in the software package BEAST. BEAST is a powerful tool that performs Bayesian MCMC analysis on molecular data to make coalescent and evolutionary inferences. Our implementation permits the application of existing nonparametric methods to microsatellite data. The implemented microsatellite models are based on the replication slippage mechanism and focus on three properties of microsatellite mutation: length dependency of mutation rate, mutational bias toward expansion or contraction, and number of repeat units changed in a single mutation event. We develop a new model that facilitates microsatellite model averaging and Bayesian model selection by transdimensional MCMC. With Bayesian model averaging, the posterior distributions of population history parameters are integrated across a set of microsatellite models and thus account for model uncertainty. Simulated data are used to evaluate our method in terms of accuracy and precision of estimation and also identification of the true mutation model. Finally we apply our method to a red colobus monkey data set as an example.