Search

Despite remarkable progress in DNA sequencing technologies there remains a trade-off between short-read platforms, having limited ability to sequence homopolymers, repeated motifs or long-range structural variation, and long-read platforms, which tend to have lower accuracy and/or throughput. Moreover, current methods do not allow direct readout of epigenetic modifications from a single read. With the aim of addressing these limitations, we have developed an optical electrowetting sequencing platform that uses step-wise nucleotide triphosphate (dNTP) release, capture and detection in microdroplets from single DNA molecules. Each microdroplet serves as a reaction vessel that identifies an individual dNTP based on a robust fluorescence signal, with the detection chemistry extended to enable detection of 5-methylcytosine. Our platform uses small reagent volumes and inexpensive equipment, paving the way to cost-effective single-molecule DNA sequencing, capable of handling widely varying GC-bias, and demonstrating direct detection of epigenetic modifications., (© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.)

A new approach to single-molecule DNA sequencing in which dNTPs, released by pyrophosphorolysis from the strand to be sequenced, are captured in microdroplets and read directly could have substantial advantages over current sequence-by-synthesis methods; however, there is no existing method sensitive enough to detect a single nucleotide in a microdroplet. We have developed a method for dNTP detection based on an enzymatic two-stage reaction which produces a robust fluorescent signal that is easy to detect and process. By taking advantage of the inherent specificity of DNA polymerases and ligases, coupled with volume restriction in microdroplets, this method allows us to simultaneously detect the presence of and distinguish between, the four natural dNTPs at the single-molecule level, with negligible cross-talk., (© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Rearrangements of the genome can be detected by microarray methods and massively parallel sequencing, which identify copy-number alterations and breakpoint junctions, but these techniques are poorly suited to reconstructing the long-range organization of rearranged chromosomes, for example, to distinguish between translocations and insertions. The single-DNA-molecule technique HAPPY mapping is a method for mapping normal genomes that should be able to analyse genome rearrangements, i.e. deviations from a known genome map, to assemble rearrangements into a long-range map. We applied HAPPY mapping to cancer cell lines to show that it could identify rearrangement of genomic segments, even in the presence of normal copies of the genome. We could distinguish a simple interstitial deletion from a copy-number loss at an inversion junction, and detect a known translocation. We could determine whether junctions detected by sequencing were on the same chromosome, by measuring their linkage to each other, and hence map the rearrangement. Finally, we mapped an uncharacterized reciprocal translocation in the T-47D breast cancer cell line to about 2 kb and hence cloned the translocation junctions. We conclude that HAPPY mapping is a versatile tool for determining the structure of rearrangements in the human genome.

Many methods exist for genotyping--revealing which alleles an individual carries at different genetic loci. A harder problem is haplotyping--determining which alleles lie on each of the two homologous chromosomes in a diploid individual. Conventional approaches to haplotyping require the use of several generations to reconstruct haplotypes within a pedigree, or use statistical methods to estimate the prevalence of different haplotypes in a population. Several molecular haplotyping methods have been proposed, but have been limited to small numbers of loci, usually over short distances. Here we demonstrate a method which allows rapid molecular haplotyping of many loci over long distances. The method requires no more genotypings than pedigree methods, but requires no family material. It relies on a procedure to identify and genotype single DNA molecules, and reconstruction of long haplotypes by a 'tiling' approach. We demonstrate this by resolving haplotypes in two regions of the human genome, harbouring 20 and 105 single-nucleotide polymorphisms, respectively. The method can be extended to reconstruct haplotypes of arbitrary complexity and length, and can make use of a variety of genotyping platforms. We also argue that this method is applicable in situations which are intractable to conventional approaches.

Aims: To detect a wide range of Cryptosporidium species from human faeces by analysis of the Cryptosporidium oocyst wall protein gene by PCR., Methods and Results: The nested-assay comprised an initial amplification using a conventional thermocycler followed by real time PCR using a LightCycler with SYBR Green I for the characterization of the amplicons. The technique uses four sets of primers composed of five to six oligonucleotides with one to six base differences corresponding to the inter-species sequence differences of the gene fragment. Restriction fragment length polymorphism analysis identified Cryptosporidium hominis and C. parvum. The assay was evaluated using DNA extracted from purified material and faecal specimens containing a range of potential pathogens (including Cryptosporidium). The assay was specific, sensitive, reproducible and rapid., Conclusions: This unique technique enables the rapid detection of a range of polymorphic COWP gene sequences directly from faeces using real time PCR., Significance and Impact of the Study: This study demonstrates a novel approach to identification of Cryptosporidium species and the identification of C. hominis and C. parvum. The technique may be especially useful for the analysis of environmental samples which are likely to contain heterogeneous mixtures of Cryptosporidium species.

Much of the effort in any genomics programme arises from the need to generate and purify large numbers of identical molecules, since most analytical tools rely on the analysis of bulk DNA. Biological steps such as bacterial cloning--commonly used to prepare bulk samples of defined DNA fragments--are capricious and introduce their own restrictions and distortions. The analysis of single molecules, either directly or by in vitro enzymatic amplification, makes possible the examination of native genomic DNA without the complications and restrictions of biological propagation. Techniques already exist for the in vitro propagation of genomic fragments and for genome mapping, and offer the advantages of speed, flexibility and predictable behaviour. Single molecule sequencing, for which many approaches are being developed, is more challenging, but offers even greater rewards in terms of throughput and read length.

There is evidence to suggest that eukaryotic genomes are subject to frequent insertions and deletions of non-coding DNA. This may lead to a gradual increase or decrease in genome size, or to a dynamic equilibrium in which the overall size remains constant. We argue, however, that there is a bias favouring an accumulation of non-coding DNA in the proximity of genes. Such bias causes a progressive change in genome structure regardless of whether the overall genome size increases, decreases or remains constant. We show that this change may serve as a 'molecular clock', supplementing that provided by nucleotide substitution rates.

We have identified and sequenced 14 human immunoglobulin VH segments cloned in a yeast artificial chromosome, and have used a rapid PCR-based technique (HAPPY mapping, 12) to derive the order and approximate distances between them. The sequences mapped comprise thirteen germline VH segments and one rearranged VH3 gene. Comparison of our map with other data suggests the existence of at least two distinct haplotypes, differing in the presence or absence of the consecutive genes DP-78, DP-46 and DP-64, and in the duplication of segments DP-49 and DP-65. Screening of ten individuals confirms the existence of both haplotypes, and indicates that both are common amongst the population.

We have devised a simple method for ordering markers on a chromosome and determining the distances between them. It uses haploid equivalents of DNA and the polymerase chain reaction, hence 'happy mapping'. Our approach is analogous to classical linkage mapping; we replace its two essential elements, chromosome breakage and segregation, by in vitro analogues. DNA from any source is broken randomly by gamma-irradiation or shearing. Markers are then segregated by diluting the resulting fragments to give aliquots containing approximately 1 haploid genome equivalent. Linked markers tend to be found together in an aliquot. After detecting markers using the polymerase chain reaction, map order and distance can be deduced from the frequency with which markers 'co-segregate'. We have mapped 7 markers scattered over 1.24 Mbp using only 140 aliquots. Using the 'whole-genome' chain reaction, we also show how the approach might be used to map thousands of markers scattered throughout the genome. The method is powerful because the frequency of chromosome breakage can be optimized to suit the resolution required.

A theoretical approach for linkage mapping the genome of any higher eukaryote is described. It uses the polymerase chain reaction, oligonucleotides of random sequence and single haploid cells. Markers are defined and then the DNA of a single sperm is broken at random (eg by gamma-rays) and physically split into 3 aliquots. Each aliquot is screened for the presence of each marker. Closely-linked markers are more likely to be found in the same aliquot than unlinked markers. The entire process is repeated with further sperm and the frequency that any two markers co-segregate determined. Closely-linked markers co-segregate from most cells; unlinked markers do so rarely. A map can then be constructed from these co-segregation frequencies. A specific application for determining the order and distance between sets of closely-linked and previously-defined markers is also described.