Single-strand conformation polymorphism analysis of candidate genes for reliable identification of alleles by capillary array electrophoresis

Loss of genetic diversity at an MHC locus in the endangered Tokyo bitterling Tanakia tanago (Teleostei: Cyprinidae)

Genetic diversity at a major histocompatibility complex (MHC) class II B gene was examined for two wild and three captive populations of the endangered Tokyo bitterling Tanakia tanago. A specific primer set was first developed to amplify the MHC II B exon 2 locus. Using single strand conformation polymorphism (SSCP) and sequencing analysis, 16 DAB3 alleles were detected with 56 nucleotide substitutions in the 276-bp region. In the putative antigen-binding sites of exon 2, the rate of nonsynonymous substitutions was significantly higher than that of synonymous substitutions (dN/dS = 2.79), indicating positive selection on the retention of polymorphism. The population from the Handa Natural Habitat Conservation Area and that from the Tone River system exhibited low variation (one and three alleles, respectively), whereas the captive population that originated from a mix of three distinct populations had the highest amounts of variation (14 alleles). The levels of heterozygosity at the MHC varied considerably among populations and showed significant correlations with those at putative neutral microsatellite markers, suggesting that genetic drift following a bottleneck has affected MHC variability in some populations. Comparisons between endangered and non-endangered fish species in previous reports and the present results indicate that the number of MHC alleles per population is on average 70% lower in endangered species than non-endangered species. Considering the functional consequence of this locus, attention should be paid to captive and wild endangered fish populations in terms of further loss of MHC alleles.

Estimation of SNP allele frequencies by SSCP analysis of pooled DNA

The single strand conformation polymorphism (SSCP) method is a sensitive technique used to detect subtle sequence differences in PCR-amplified DNA fragments as separated peaks in electrophoretic analysis. In this chapter, we focus on SSCP analysis for quantifying polymorphic alleles rather than scanning for mutations. Short fragments carrying single nucleotide polymorphisms are amplified from individual and pooled DNA samples, then the products are labeled with fluorescent dyes and analyzed by automated capillary electrophoresis under nondenaturing conditions. Dedicated software, QSNPlite, interprets trace data of the electrophoresis to identify alleles of individuals and quantify these alleles in the pool. The software can also incorporate sequencing data to assign alleles at the nucleotide level. The procedures described here are being used in association studies that compare allele frequencies between cases and controls to identify genes responsible for common diseases.

SSCP markers provide a useful alternative to microsatellites in genotyping and estimating genetic diversity in populations and germplasm collections of plant specialty crops

For well-studied plant species with whole genome sequence or extensive EST data, SNP markers are the logical choice for both genotyping and whole genome association studies. However, SNP markers may not address the needs of researchers working on specialty crops with limited available genomic information. Microsatellite markers have been frequently employed due to their robustness, but marker development can be difficult and may result in few polymorphic markers. SSCP markers, such as microsatellites, are PCR-based and scored by electrophoretic mobility but, because they are based on SNPs rather than length differences, occur more frequently and are easier to develop than microsatellites. We have examined how well correlated the estimation of genetic diversity and genetic distance are in a population or germplasm collection when measured by 13 highly polymorphic microsatellite markers or 20 SSCP markers. We observed a significant correlation in pairwise genetic distances of 82 individuals in an international cacao germplasm collection (Mantel test Rxy=0.59, p<0.0001 for 10 000 permutations). Both sets of markers could distinguish each individual in the population. These data provide strong support for the use of SSCP markers in the genotyping of plant species where development of microsatellites would be difficult or expensive.

CE-SSCP and CE-FLA, simple and high-throughput alternatives for fungal diversity studies

Fungal communities are key components of soil, but the study of their ecological significance is limited by a lack of appropriated methods. For instance, the assessment of fungi occurrence and spatio-temporal variation in soil requires the analysis of a large number of samples. The molecular signature methods provide a useful tool to monitor these microbial communities and can be easily adapted to capillary electrophoresis (CE) allowing high-throughput studies. Here we assess the suitability of CE-FLA (Fragment Length Polymorphism, denaturing conditions) and CE-SSCP (Single-Stranded Conformation Polymorphism, native conditions) applied to environmental studies since they require a short molecular marker and no post-PCR treatments. We amplified the ITS1 region from 22 fungal strains isolated from an alpine ecosystem and from total genomic DNA of alpine and infiltration basin soils. The CE-FLA and CE-SSCP separated 17 and 15 peaks respectively from a mixture of 19 strains. For the alpine soil-metagenomic DNA, the FLA displayed more peaks than the SSCP and the converse result was found for infiltration basin sediments. We concluded that CE-FLA and CE-SSCP of ITS1 region provided complementary information. In order to improve CE-SSCP sensitivity, we tested its resolution according to migration temperature and found 32 degrees C to be optimal. Because of their simplicity, quickness and reproducibility, we found that these two methods were promising for high-throughput studies of soil fungal communities.

Improvements of polymerase chain reaction and capillary electrophoresis single-strand conformation polymorphism methods in microbial ecology: toward a high-throughput method for microbial diversity studies in soil

The molecular signature of bacteria from soil ecosystems is an important tool for studying microbial ecology and biogeography. However, a high-throughput technology is needed for such studies. In this article, we tested the suitability of available methods ranging from soil DNA extraction to capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) for high-throughput studies. Our results showed that the extraction method does not dramatically influence CE-SSCP profiles, and that DNA extraction of a 0.25 g soil sample is sufficient to observe overall bacterial diversity in soil matrices. The V3 region of the 16S rRNA gene was amplified by PCR, and the extension time was found to be critical. We have also found that proofreading DNA polymerases generate a better signal in CE-SSCP profiles. Experiments performed with different soil matrices revealed the repeatability, efficiency, and consistency of CE-SSCP. Studies on PCR and CE-SSCP using single-species genomic DNA as a matrix showed that several ribotypes may migrate at the same position, and also that single species can produce double peaks. Thus, the extrapolation between number of peaks and number of species remains difficult. Additionally, peak detection is limited by the analysis software. We conclude that the presented method, including CE-SSCP and the analyzing step, is a simple and effective technique to obtain the molecular signature of a given soil sample.

TILLING moves beyond functional genomics into crop improvement

Transgenic methods have been successfully applied to trait improvement in a number of crops. However, reverse genetics studies by transgenic means are not practical in many commercially important crops, hampering investigations into gene function and the development of novel and improved cultivars. A nontransgenic method for reverse genetics called Targeting Induced Local Lesions IN Genomes (TILLING) has been developed as a method for inducing and identifying novel genetic variation, and has been demonstrated in the model plant, Arabidopsis thaliana. Recently, TILLING has been extended to the improvement of crop plants and shows great promise as a general method for both functional genomics and modulation of key traits in diverse crops.

Use of capillary array electrophoresis single-strand conformational polymorphism analysis to estimate genetic diversity of candidate genes in germplasm collections

Capillary array electrophoresis single-strand conformation polymorphism (CAE-SSCP) analysis provides a reliable high-throughput method to genotype plant germplasm collections. Primers designed for highly conserved regions of candidate genes can be used to amplify DNA from plants in the collection. These amplified DNA fragments of identical length are turned into useful markers by assaying sequence differences by CAE-SSCP analysis. Sequence differences affect the electrophoretic mobility of single-stranded DNA under non-denaturing conditions. By collecting the mobility data for both strands assayed at two temperatures, alleles can be defined by mobility alone. For a germplasm collection with an unknown number of alleles at a locus, such mobility data of homozygotes can be used to determine the number of unique alleles without the necessity of cloning and sequencing each allele.

SNP discovery in associating genetic variation with human disease phenotypes

With the completion of the human genome project, attention is now rapidly shifting towards the study of individual genetic variation. The most abundant source of genetic variation in the human genome is represented by single nucleotide polymorphisms (SNPs), which can account for heritable inter-individual differences in complex phenotypes. Identification of SNPs that contribute to susceptibility to common diseases will provide highly accurate diagnostic information that will facilitate early diagnosis, prevention, and treatment of human diseases. Over the past several years, the advancement of increasingly high-throughput and cost-effective methods to discover and measure SNPs has begun to open the door towards this endeavor. Genetic association studies are considered to be an effective approach towards the detection of SNPs with moderate effects, as in most common diseases with complex phenotypes. This requires careful study design, analysis and interpretation. In this review, we discuss genetic association studies and address the prospect for candidate gene association studies, comparing the strengths and weaknesses of indirect and direct study designs. Our focus is on the continuous need for SNP discovery methods and the use of currently available prescreening methods for large-scale genetic epidemiological research until more advanced sequencing methods currently under development will become available.