Single-molecule analysis of the hypermutable tetranucleotide repeat locus D21S1245 through sperm genotyping: a heterogeneous pattern of mutation but no clear male age effect

Comparison of southern Chinese Han and Brazilian Caucasian mutation rates at autosomal short tandem repeat loci used in human forensic genetics

The short tandem repeat (STR) loci used in human genetic studies are characterized by having relatively high mutation rates. In particular, to ensure an appropriate evaluation of genetic evidence in parentage and forensic analyses, it is essential to have accurate estimates of the mutation rates associated with the commonly used autosomal and sex chromosome STR loci. Differences in STR mutation rates between different ethnic groups should also be determined. Mutation data from two laboratories working with different ethnic groups were extracted from many meiotic transmissions ascertained for 15 autosomal STR loci currently used in forensic routine. Forty-five thousand and eighty-five trios were checked for the biological consistency of maternity and paternity through the analysis of a minimum of 15 loci. Mutations were scored as paternal, maternal, or ambiguous according to the most parsimonious explanation for the inconsistency, using always the least requiring hypothesis in terms of number of repeat differences. The main findings are: (a) the overall mutation rate across the 15 loci was 9.78 × 10(-4) per gamete per generation (95% CI = 9.30 × 10(-4)-1.03 × 10(-3)), and with just 48 (out of 1,587) exceptions, all of the mutations were single-step; (b) repeat gains were more frequent than losses; (c) longer alleles were found to be more mutable; and (d) the mutation rates differ at some loci between the two ethnic groups. Large worldwide meiotic transmission datasets are still needed to measure allele-specific mutation rates at the STR loci consensually used in forensic genetics.

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.

Product length, dye choice, and detection chemistry in the bead-emulsion amplification of millions of single DNA molecules in parallel

The amplification of millions of single molecules in parallel can be performed on microscopic magnetic beads that are contained in aqueous compartments of an oil-buffer emulsion. These bead-emulsion amplification (BEA) reactions result in beads that are covered by almost-identical copies derived from a single template. The post-amplification analysis is performed using different fluorophore-labeled probes. We have identified BEA reaction conditions that efficiently produce longer amplicons of up to 450 base pairs. These conditions include the use of a Titanium Taq amplification system. Second, we explored alternate fluorophores coupled to probes for post-PCR DNA analysis. We demonstrate that four different Alexa fluorophores can be used simultaneously with extremely low crosstalk. Finally, we developed an allele-specific extension chemistry that is based on Alexa dyes to query individual nucleotides of the amplified material that is both highly efficient and specific.

Single-molecule polymerase chain reaction reduces bias: application to DNA methylation analysis by bisulfite sequencing

The treatment of DNA with bisulfite, which converts C to U but leaves 5-methyl-C unchanged, forms the basis of many analytical techniques for DNA methylation analysis. Many techniques exist for measuring the methylation state of a single CpG but, for analysis of an entire region, cloning and sequencing remains the gold standard. However, biases in polymerase chain reaction (PCR) amplification and in cloning can skew the results. We hypothesized that single-molecule PCR (smPCR) amplification would eliminate the PCR amplification bias because competition between templates that amplify at different efficiencies no longer exists. The amplified products can be sequenced directly, thus eliminating cloning bias. We demonstrated this accurate and unbiased approach by analyzing a sample that was expected to contain a 50:50 ratio of methylated to unmethylated molecules: a region of the X-linked FMR1 gene from a human female cell line. We compared traditional cloning and sequencing to smPCR and sequencing. Sequencing smPCR products gave an expected methylated to unmethylated ratio of 48:52, whereas conventional cloning and sequencing gave a biased ratio of 72:28. Our results show that smPCR sequencing can eliminate both PCR and cloning bias and represents an attractive approach to bisulfite sequencing.

Sex: differences in mutation, recombination, selection, gene flow, and genetic drift

In many instances, there are large sex differences in mutation rates, recombination rates, selection, rates of gene flow, and genetic drift. Mutation rates are often higher in males, a difference that has been estimated both directly and indirectly. The higher male mutation rate appears related to the larger number of cell divisions in male lineages but mutation rates also appear gene- and organism-specific. When there is recombination in only one sex, it is always the homogametic sex. When there is recombination in both sexes, females often have higher recombination but there are many exceptions. There are a number of hypotheses to explain the sex differences in recombination. Sex-specific differences in selection may result in stable polymorphisms or for sex chromosomes, faster evolutionary change. In addition, sex-dependent selection may result in antagonistic pleiotropy or sexually antagonistic genes. There are many examples of sex-specific differences in gene flow (dispersal) and a number of adaptive explanations for these differences. The overall effective population size (genetic drift) is dominated by the lower sex-specific effective population size. The mean of the mutation, recombination, and gene flow rates over the two sexes can be used in a population genetics context unless there are sex-specific differences in selection or genetic drift. Sex-specific differences in these evolutionary factors appear to be unrelated to each other. The evolutionary explanations for sex-specific differences for each factor are multifaceted and, in addition, explanations may include chance, nonadaptive differences, or mechanistic, nonevolutionary factors.

Advancing age has differential effects on DNA damage, chromatin integrity, gene mutations, and aneuploidies in sperm

This study compares the relative effects of advancing male age on multiple genomic defects in human sperm [DNA fragmentation index (DFI), chromatin integrity, gene mutations, and numerical chromosomal abnormalities], characterizes the relationships among these defects and with semen quality, and estimates the incidence of susceptible individuals for a well characterized nonclinical nonsmoking group of 97 men (22-80 years). Adjusting for confounders, we found major associations between age and the frequencies of sperm with DFI and fibroblast growth factor receptor 3 gene (FGFR3) mutations associated with achondroplasia (P < 0.01) with no evidence for age thresholds. However, we found no associations between age and the frequencies of sperm with immature chromatin, aneuploidies/diploidies, FGFR2 mutations (Apert syndrome), or sex ratio in this cohort. There were also no consistent correlations among genomic and semen-quality endpoints, except between DFI and sperm motility (r = -0.65, P < 0.001). These findings suggest there are multiple spermatogenic targets for genomically defective sperm with substantially variable susceptibilities to age. Our findings predict that as healthy males age, they have decreased pregnancy success with trends beginning in their early reproductive years, increased risk for producing offspring with achondroplasia mutations, and risk of fathering offspring with Apert syndrome that may vary across cohorts, but with no increased risk for fathering aneuploid offspring (Down, Klinefelter, Turner, triple X, and XYY syndromes) or triploid embryos. Our findings also suggest that the burden of genomic damage in sperm cannot be inferred from semen quality, and that a small fraction of men are at increased risk for transmitting multiple genetic and chromosomal defects.

Single-sperm analysis for haplotype construction of de-novo paternal mutations: application to PGD for neurofibromatosis type 1

BACKGROUND

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the neurofibromin gene. Approximately, 50% of cases are caused by de-novo mutations. Even when the NF1 mutation is known, accuracy of PGD is highly enhanced by simultaneous analysis of linked markers. In a childless couple referred to PGD, the male carried a de-novo mutation, precluding the possibility of typing relatives to establish the mutation-associated haplotype. We developed a single-sperm haplotype analysis strategy to establish the haplotype linked to the NF1 mutation.

METHODS

Spermatozoa from freshly ejaculated semen were used as a substrate for multiplex PCR on single sperm.

RESULTS

In addition to the NF1 mutation, six informative polymorphic markers flanking the NF1 gene (D17S1294, D17S1849, D17S841, D17S975, NF1TG2 and NF1AC5) were linked to individual alleles in single sperm from the affected male.

CONCLUSIONS

Single-sperm analysis established the haplotypes of both mutant and wild-type NF1 alleles and enabled the implementation of a PGD protocol using polymorphic marker analysis. This method is generally applicable to PGD for any disease in which the haplotype of paternal mutations cannot be determined by typing relatives.