Human minisatellite alleles detectable only after PCR amplification.

We present evidence that a proportion of alleles at two human minisatellite loci is undetected by standard Southern blot hybridization. In each case the missing allele(s) can be identified after PCR amplification and correspond to tandem arrays too short to detect by hybridization. At one locus, there is only one undetected allele (population frequency 0.3), which contains just three repeat units. At the second locus, there are at least five undetected alleles (total population frequency 0.9) containing 60-120 repeats; they are not detected because these tandem repeats give very poor signals when used as a probe in standard Southern blot hybridization, and also cross-hybridize with other sequences in the genome. Under these circumstances only signals from the longest tandemly repeated alleles are detectable above the nonspecific background. The structures of these loci have been compared in human and primate DNA, and at one locus the short human allele containing three repeat units is shown to be an intermediate state in the expansion of a monomeric precursor allele in primates to high copy number in the longer human arrays. We discuss the implications of such loci for studies of human populations, minisatellite isolation by cloning, and the evolution of highly variable tandem arrays.     

Estimation of heterozygosity for single-probe multilocus DNA fingerprints

In spite of the increasing application of DNA fingerprinting to natural populations and to the genetic identification of humans, explicit methods for estimation of basic population genetic parameters from DNA fingerprinting data have not been developed. Contributing to this omission is the inability to determine, for multilocus fingerprinting probes, relatively important genetic information, such as the number of loci, the number of alleles, and the distribution of these alleles into specific loci. One of the most useful genetic parameters that could be derived from such data would be the average heterozygosity, which has traditionally been employed to measure the level of genetic variation within populations and to compare genetic variation among different loci. We derive here explicit formulas for both the estimation of average heterozygosity at multiple hypervariable loci and a maximum value for this estimate. These estimates are based upon the DNA restriction-pattern matrices that are typical for fingerprinting studies of humans and natural populations. For several empirical data sets from our laboratory, estimates of average and maximal heterozygosity are shown to be relatively close to each other. Furthermore, variances of these statistics based on simulation studies are relatively small. These observations, as well as consideration of the effect of missing alleles and alternate numbers of loci, suggest that the average heterozygosity can be accurately estimated using phenotypic DNA fingerprint patterns, because this parameter is relatively insensitive to the lack of certain genetic information.      

Detection of highly polymorphic microsatellite loci in a species with little allozyme polymorphism

Microsatellite loci are regions of DNA containing tandem repeats of a short sequence motif; they occur abundantly in all eukaryotic genomes and have been shown to be a rich source of highly polymorphic genetic markers in humans and other mammals. These loci are particularly suitable for population studies because they can be relatively easily scored using a combination of polymerase chain reaction (PCR) amplification of each locus followed by electrophoresis to separate alleles. This paper details a method for finding these loci in any species. This method demonstrates that trinucleotide microsatellite loci are abundant and highly polymorphic in the social wasp Polistes annularis , whereas allozyme electrophoresis reveals very little polymorphism. The first six loci examined were all polymorphic with a mean observed heterozygosity of 0.62; in comparison average heterozygosity of 33 allozymes was 0.035. We suggest that this method can be used to detect variation where other methods have failed, making it an ideal tool for population and conservation geneticists who must deal with populations lacking other types of genetic variability.     

Correlation of DNA fragment sizes within loci in the presence of non-detectable alleles

At present most forensic databases of DNA profiling of individuals consist of DNA fragment sizes measured from Southern blot restriction fragment length polymorphism (RFLP) analysis. Statistical studies of these databases have revealed that, when fragment sizes are measured from RFLP analysis, some of the single-band patterns of individuals may actually be due to heterozygosity of alleles in which fragment size resulting from one allele remains undetected. In this work, we evaluate the effect of such allelic non-detectability on correlation of fragment sizes within individuals at a locus, and its impact on the inference of independence of fragment sizes within loci. We show that when non-detectable alleles are present in a population at a locus, positive correlations of fragment sizes are expected, which increase with the proportion of non-detectable alleles at the locus. Therefore, a non-zero positive correlation is not a proof of allelic dependence within individuals. Applications of this theory to the current forensic RFLP databases within the US show that there is virtually no evidence of significant allelic dependence within any of the loci. Therefore, the assumption that DNA fragment sizes within loci are independent is valid, and hence, the population genetic principles of computing DNA profile frequencies by multiplying binned frequencies of fragment sizes are most likely to be appropriate for forensic applications of DNA typing data.Editor's commentsThe presence of non-detectable alleles for VNTR loci has plagued the use of these highly-discriminating systems in human identification. The authors take explicit account of these alleles, and are able to show independence of the frequencies of detectable alleles. They raise the troubling issue of how to account for occasional significant results when multiple tests are performed. By invoking Bonferroni corrections, they regard all tests, even those performed on different loci, as addressing the same hypothesis—the absence of dependence at any VNTR locus.     

Structure and organization of the C4 genes

This 200 000 Mr serum protein is coded for by at least two separate loci, C4A and C4B, which map in the HLA Class III region on chromosome 6 in man. Both loci are highly polymorphic with more than 30 alleles, including null alleles assigned to the two loci. The complete nucleotide sequence of a full length C4A cDNA clone and a substantial part of a C4b cDNA clone has shown class differences which can be used to synthesize nucleotide probes specific for C4A and C4B. Three C4 loci of approximately 16 kilobases each spaced by 10 kilobases have been identified in DNA from one individual and aligned 30 kilobases from the factor B gene by overlapping cloned genomic fragments from a cosmid library. Characterization of these genes by restriction mapping, nucleotide sequence analysis and hybridization with C4A and C4B specific synthetic oligonucleotides show that these genes are very similar.     

Defining the spectrum of alleles that contribute to blood lipid concentrations in humans

PURPOSE OF REVIEW: Recently, genome-wide genetic screening of common DNA sequence variants has proven a successful approach to identify novel genetic contributors to complex traits. This review summarizes recent genome-wide association studies for lipid phenotypes, and evaluates the next steps needed to obtain a full picture of genotype-phenotype correlation and apply these findings to inform clinical practice. RECENT FINDINGS: So far, genome-wide association studies have defined at least 19 genomic regions that contain common DNA single nucleotide polymorphisms associated with LDL cholesterol, HDL cholesterol and/or triglycerides. Of these, eight represent novel loci in humans, whereas 11 genes have been previously implicated in lipoprotein metabolism. Many of the same loci with common variants have already been shown to lead to monogenic lipid disorders in humans and/or mice, suggesting that a spectrum of common and rare alleles at each validated locus contributes to blood lipid concentrations. SUMMARY: At least 19 loci harbor common variations that contribute to blood lipid concentrations in humans. Larger scale genome-wide association studies should identify additional loci, and sequencing of these loci should pinpoint all relevant alleles. With a full catalog of DNA polymorphisms in hand, a panel of lipid-related variants can be studied to provide clinical risk stratification and targeting of therapeutic interventions.     

Application of automated DNA sizing technology for genotyping microsatellite loci.

Highly polymorphic microsatellite loci offer great promise for gene mapping studies, but fulfillment of this potential will require substantial improvements in methods for accurate and efficient genotyping. Here, we report a genotyping method based on fluorescently labeled PCR primers and size characterization of PCR products using an automated DNA fragment analyzer. We capitalize on the availability of three distinct fluorescent dyes to label uniquely loci that overlap in size, and this innovation increases by threefold the number of loci that can be analyzed simultaneously. We label size standards with a fourth dye and combine these with the microsatellite PCR products in each gel lane. Computer programs provide very rapid and accurate sizing of microsatellite alleles and efficient data management. In addition, fluorescence signals are linear over a much greater range of intensity than conventional autoradiography. This facilitates multiplexing of loci (since signal intensities often vary greatly) and helps distinguish major peaks from artifacts, thereby improving genotyping accuracy.     

Genotyping of human alcohol dehydrogenases at the ADH2 and ADH3 loci following DNA sequence amplification

Humans are polymorphic at two of the alcohol dehydrogenase (ADH) loci important in ethanol metabolism, ADH2 and ADH3. Although the coding regions of these genes are 94% identical, they produce subunits that differ greatly in kinetic properties in vitro. These differences are likely to be reflected in the pharmacokinetics of alcohol metabolism, but studies have been hampered by the need to use liver biopsy specimens to determine the ADH phenotype. This problem has now been overcome by determining the genotype at these loci using DNA that has been amplified in vitro by the polymerase chain reaction. We report here the identification of all three of the ADH2 alleles and both of the ADH3 alleles. Any pair of ADH2 or ADH3 alleles can be distinguished using allele-specific oligonucleotide probes directed at their single base pair difference. In addition, ADH2(2) can be distinguished from ADH2(1) and ADH2(3) by detecting a new MaeIII site created in the third exon by the single base pair alteration in ADH2(2).     

Highly accurate SNP genotyping from historical and low‐quality samples

Historical and other poor‐quality samples are often necessary for population genetics, conservation, and forensics studies. Although there is a long history of using mtDNA from such samples, obtaining and genotyping nuclear loci have been considered difficult and error‐prone at best, and impossible at worst. The primary issues are the amount of nuclear DNA available for genotyping, and the degradation of the DNA into small fragments. Single nucleotide polymorphisms offer potential advantages for assaying nuclear variation in historical and poor‐quality samples, because the amplified fragments can be very small, varying little or not at all in size between alleles, and can be amplified efficiently by polymerase chain reaction (PCR). We present a method for highly multiplexed PCR of SNP loci, followed by dual‐fluorescence genotyping that is very effective for genotyping poor‐quality samples, and can potentially use very little template DNA, regardless of the number of loci to be genotyped. We genotyped 19 SNP loci from DNA extracted from modern and historical bowhead whale tissue, bone and baleen samples. The PCR failure rate was < 1.5%, and the genotyping error rate was 0.1% when DNA samples contained > 10 copies/µL of a 51‐bp nuclear sequence. Among samples with ≤ 10 copies/µL DNA, samples could still be genotyped confidently with appropriate levels of replication from independent multiplex PCRs.     

Theoretical underpinning of the single-molecule-dilution (SMD) method of direct haplotype resolution.

In a recent paper we have shown that DNA haplotypes of multiply heterozygous individuals can be resolved directly by polymerase-chain-reaction (PCR) amplification of a single molecule of genomic template. Our method (the single-molecule-dilution [SMD] method) relies on the stochastic separation of maternal and paternal alleles at high dilution. The stochasticity of separation and the potential for DNA shearing (which could separate the loci of interest) are two factors that can compromise the results of the experiment. This paper explores the consequences of these two factors and shows that the SMD method can be expected to work very reliably even in the presence of a moderate amount of DNA shearing.     

Isolation and characterization of microsatellite markers from the hosta species Hosta albomarginata (Liliaceae)

Hostas are very popular ornamental plants in gardens in the United States, Europe, and East Asia. We have developed nine microsatellite loci from an enrichment library of genomic DNA in Hosta albomarginata. We characterized these nine microsatellite loci for 20 individuals from a population of H. albomarginata. The primers developed in this study yielded an average of 12.4 alleles per locus (range five to 20) and an average expected heterozygosity of 0.86 (range 0.65 to 0.95). These markers will be powerful tools for breeding programmes of hosta cultivars, studies of population genetics, and the conservation of wild hosta species.     

Sixteen novel microsatellite loci developed for the giant panda (Ailuropoda melanoleuca)

Sixteen novel microsatellite DNA loci were developed from the giant panda (Ailuropoda melanoleuca) using a magnetic-bead capture method. A total of 115 alleles were obtained for these markers, ranging from 4 to 12 alleles per locus (average 7.188). These loci exhibited high levels of polymorphic information content and expected heterozygosity, 0.558–0.855 (average 0.729) and 0.628–0.885 (average 0.778), respectively. Therefore, the allelic polymorphism and heterozygosity show that the giant pandas raised in China Research and Conservation Center possess abundant genetic variation. In addition, if the three markers showing null alleles were excluded, the remaining 13 microsatellite loci still presented extremely low non-exclusion probabilities of parentage (0.002), paternity (0.000) and identity (0.000). As a result, this new suit of microsatellite markers would be a very informative tool for the genetic and conservation studies of giant pandas.     

Isolation of ten tetranucleotide microsatellite loci in the Northern Wheatear (Oenanthe oenanthe)

We isolated 10 polymorphic microsatellite DNA loci from the Northern Wheatear (Oenanthe oenanthe) and optimized these for future studies in population genetics and behavioural ecology. The loci were screened for polymorphism using 107 individuals from one population in Germany. The primers amplified loci with high numbers of alleles ranging from two to 20 alleles per locus.     

Relative roles of mutation and selection in the maintenance of genetic variability

The extent and pattern of protein and DNA polymorphisms are discussed with emphasis on the mechanism of maintenance of the polymorphisms. Statistical studies suggest that a large proportion of genetic variability at the molecular level is maintained by a mutation-drift balance. At some loci, such as those for histocompatibility in mammals, however, a form of overdominant selection seems to be involved. In the presence of overdominant selection, polymorphic alleles may be maintained for tens of millions of years, so that the number of nucleotide differences between alleles is often very large, as in the case of self-incompatibility alleles in plants. There are also an increasing number of examples in which an adaptive change of a morphological or physiological character is caused by a single nucleotide substitution. Nevertheless, these mutations seem to be a small proportion of the total nucleotide changes that contribute to genetic variability and evolution. Although there are many examples of frequency-dependent selection, this form of selection is apparently unimportant for the maintenance of genetic variability except in some special cases. Observations on the evolutionary change of DNA suggest that the driving force of evolution is mutation rather than selection.     

Microsatellite markers for the drought-resistant earthworm Hormogaster elisae

We developed and characterized 10 highly polymorphic microsatellite loci from a simple sequence repeat-enriched genomic DNA library of the earthworm Hormogaster elisae. Characterization of these loci using 26 individuals revealed eight to 25 alleles per locus and high levels of heterozygosity. These loci will be used for paternity analysis and population genetic studies.     

Development and characterization of simple sequence repeat (SSR) markers and their use in determining relationships among Lycopersicon esculentum cultivars

The simple sequence repeat (SSR) or microsatellite marker is currently the preferred molecular marker due to its highly desirable properties. The aim of this study was to develop and characterize more SSR markers because the number of SSR markers currently available in tomato is very limited. Five hundred DNA sequences of tomato were searched for SSRs and analyzed for the design of PCR primers. Of the 158 pairs of SSR primers screened against a set of 19 diverse tomato cultivars, 129 pairs produced the expected DNA fragments in their PCR products, and 65 of them were polymorphic with the polymorphism information content (PIC) ranging from 0.09 to 0.67. Among the polymorphic loci, 2-6 SSR alleles were detected for each locus with an average of 2.7 alleles per locus; 49.2% of these loci had two alleles and 33.8% had three alleles. The vast majority (93.8%) of the microsatellite loci contained di- or tri-nucleotide repeats and only 6.2% had tetra- and penta-nucleotide repeats. It was also found that TA/AT was the most frequent type of repeat, and the polymorphism information content (PIC) was positively correlated with the number of repeats. The set of 19 tomato cultivars were clustered based on the banding patterns generated by the 65 polymorphic SSR loci. Since the markers developed in this study are primarily from expressed sequences, they can be used not only for molecular mapping, cultivar identification and marker-assisted selection, but for identifying gene-trait relations in tomato.     

A panel of 20 highly variable microsatellite polymorphisms in rhesus macaques (Macaca mulatta) selected for pedigree or population genetic analysis

This paper reports 20 new microsatellite loci that are highly polymorphic in rhesus macaques (Macaca mulatta). We screened known human microsatellite loci to identify markers that are polymorphic in rhesus macaques, and then selected specific loci that show substantial levels of heterozygosity and robust, reliable amplification. The 20 loci reported here were chosen to include one highly informative microsatellite from each rhesus monkey autosomal chromosome. Fourteen of the 20 polymorphisms are tetranucleotide repeats, and all can be analyzed using standard PCR and electrophoresis procedures. These new rhesus markers have an average of 15.5 alleles per locus and average heterozygosity of 0.83. This panel of DNA polymorphisms will be useful for a variety of different genetic analyses, including pedigree testing, paternity analysis, and population genetic studies. Many of these loci are also likely to be informative in other closely related Old World monkey species.     

4个Y-STR基因座的多态性及其法医学应用的研究

通过荧光标记引物结合ABI377型全自动DNA测序仪检测自动分型方法对中国壮族及汉族人群中各100例无关男性个体的 A10、C4、A7.1、A7.2等4个Y染色体特异的基因座的等位基因及单倍型的分布进行了调查。结果发现 A10、C4、A7.1 A7.2基因座分别有7、6、6、6个等位基因,基因多样性（GD）分别为0.7776/0.629(壮/汉）、0.773/0.732、0.5978/0.7272、0.6664/0.6458。在200个观察样本中共发现114种单倍型（haplotype）,单倍型多样性(haplotype diversity,ID）分别为0.9786/0.9772(壮/汉)。通过测序确认基因座核心重复序列及等位基因核心序列重复数。建立了这4个基因座的复合扩增体系,分型准确清晰。还对这4个基因座的男性特异性、遗传稳定性、灵敏度等法医学有关指标进行了考察并且在实际案例中进行了应用,结果证明,这4个Y-STRs基因座非常适应于法医检验,具有较高的实用价值。     

Linkage analysis in the next-generation sequencing era

Linkage analysis was developed to detect excess co-segregation of the putative alleles underlying a phenotype with the alleles at a marker locus in family data. Many different variations of this analysis and corresponding study design have been developed to detect this co-segregation. Linkage studies have been shown to have high power to detect loci that have alleles (or variants) with a large effect size, i.e. alleles that make large contributions to the risk of a disease or to the variation of a quantitative trait. However, alleles with a large effect size tend to be rare in the population. In contrast, association studies are designed to have high power to detect common alleles which tend to have a small effect size for most diseases or traits. Although genome-wide association studies have been successful in detecting many new loci with common alleles of small effect for many complex traits, these common variants often do not explain a large proportion of disease risk or variation of the trait. In the past, linkage studies were successful in detecting regions of the genome that were likely to harbor rare variants with large effect for many simple Mendelian diseases and for many complex traits. However, identifying the actual sequence variant(s) responsible for these linkage signals was challenging because of difficulties in sequencing the large regions implicated by each linkage peak. Current 'next-generation' DNA sequencing techniques have made it economically feasible to sequence all exons or the whole genomes of a reasonably large number of individuals. Studies have shown that rare variants are quite common in the general population, and it is now possible to combine these new DNA sequencing methods with linkage studies to identify rare causal variants with a large effect size. A brief review of linkage methods is presented here with examples of their relevance and usefulness for the interpretation of whole-exome and whole-genome sequence data.     

Stochasticity overrules the "three-times rule": genetic drift,genetic draft,and coalescence times for nuclear loci versus mitochondrial DNA

Abstract.— Palumbi et al. (2001) proposed a "three-times rule" that uses mitochondrial DNA (mtDNA) sequences to predict probabilities of monophyly for nuclear loci (i.e., whether the alleles within a taxon coalesce with one another before they coalesce with alleles from a sister taxon). They use neutral coalescent theory to infer these probabilities from the ratio of interspecific divergence to intraspecific variation of mtDNA. We show that the estimated probabilities have very wide confidence intervals because of the inherent stochasticity of the mtDNA coalescent process. Under neutrality, the true probability of monophyly can be much higher, or much lower, than predicted by the three-times rule. We also review recent empirical and theoretical studies that refute neutrality-based predictions concerning mtDNA variation and divergence. We conclude that the three-times rule is neither a useful test for neutral molecular evolution nor a reliable guide to genealogical species.