title: Quantitative Single-letter Sequencing: a method for simultaneously monitoring numerous known allelic variants in single DNA samples.
abstract: BACKGROUND
  Pathogens such as fungi, bacteria and especially viruses, are highly variable even within an individual host, intensifying the difficulty of distinguishing and accurately quantifying numerous allelic variants co-existing in a single nucleic acid sample. The majority of currently available techniques are based on real-time PCR or primer extension and often require multiplexing adjustments that impose a practical limitation of the number of alleles that can be monitored simultaneously at a single locus.
  
  
  RESULTS
  Here, we describe a novel method that allows the simultaneous quantification of numerous allelic variants in a single reaction tube and without multiplexing. Quantitative Single-letter Sequencing (QSS) begins with a single PCR amplification step using a pair of primers flanking the polymorphic region of interest. Next, PCR products are submitted to single-letter sequencing with a fluorescently-labelled primer located upstream of the polymorphic region. The resulting monochromatic electropherogram shows numerous specific diagnostic peaks, attributable to specific variants, signifying their presence/absence in the DNA sample. Moreover, peak fluorescence can be quantified and used to estimate the frequency of the corresponding variant in the DNA population. Using engineered allelic markers in the genome of Cauliflower mosaic virus, we reliably monitored six different viral genotypes in DNA extracted from infected plants. Evaluation of the intrinsic variance of this method, as applied to both artificial plasmid DNA mixes and viral genome populations, demonstrates that QSS is a robust and reliable method of detection and quantification for variants with a relative frequency of between 0.05 and 1.
  
  
  CONCLUSIONS
  This simple method is easily transferable to many other biological systems and questions, including those involving high throughput analysis, and can be performed in any laboratory since it does not require specialized equipment.
authors.affiliation: Biologie et Génétique des Interactions Plante-Parasite (BGPI), INRA-CIRAD-SupagroM, TA A-54/K, Campus International de Baillarguet, 34398 Montpellier Cedex 5, France. monsion@supagro.inra.fr
authors.forename: Baptiste
authors.initials: B
authors.lastname: Monsion
authors.forename: Hervé
authors.initials: H
authors.lastname: Duborjal
authors.forename: Stéphane
authors.initials: S
authors.lastname: Blanc
mesh_terms: D000483:Alleles; D001483:Base Sequence; D017796:Caulimovirus / Q000235:genetics; D004247:DNA / Q000235:genetics*; D017931:DNA Primers / Q000235:genetics; D004279:DNA, Viral / Q000235:genetics / Q000302:isolation & purification; D005819:Genetic Markers; D014644:Genetic Variation; D016679:Genome, Viral; D023281:Genomics; D008969:Molecular Sequence Data; D010957:Plasmids / Q000235:genetics; D016133:Polymerase Chain Reaction; D017422:Sequence Analysis, DNA / Q000379:methods*
chemical_list: D017931:DNA Primers; D004279:DNA, Viral; D005819:Genetic Markers; D004247:DNA