53 research outputs found

    Low cost, low tech SNP genotyping tools for resource-limited areas: Plague in Madagascar as a model

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    Genetic analysis of pathogenic organisms is a useful tool for linking human cases together and/or to potential environmental sources. The resulting data can also provide information on evolutionary patterns within a targeted species and phenotypic traits. However, the instruments often used to generate genotyping data, such as single nucleotide polymorphisms (SNPs), can be expensive and sometimes require advanced technologies to implement. This places many genotyping tools out of reach for laboratories that do not specialize in genetic studies and/or lack the requisite financial and technological resources. To address this issue, we developed a low cost and low tech genotyping system, termed agarose-MAMA, which combines traditional PCR and agarose gel electrophoresis to target phylogenetically informative SNPs

    Melt analysis of mismatch amplification mutation assays (melt-MAMA): a functional study of a cost-effective SNP genotyping assay in bacterial models.

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    Single nucleotide polymorphisms (SNPs) are abundant in genomes of all species and biologically informative markers extensively used across broad scientific disciplines. Newly identified SNP markers are publicly available at an ever-increasing rate due to advancements in sequencing technologies. Efficient, cost-effective SNP genotyping methods to screen sample populations are in great demand in well-equipped laboratories, but also in developing world situations. Dual Probe TaqMan assays are robust but can be cost-prohibitive and require specialized equipment. The Mismatch Amplification Mutation Assay, coupled with melt analysis (Melt-MAMA), is flexible, efficient and cost-effective. However, Melt-MAMA traditionally suffers from high rates of assay design failures and knowledge gaps on assay robustness and sensitivity. In this study, we identified strategies that improved the success of Melt-MAMA. We examined the performance of 185 Melt-MAMAs across eight different pathogens using various optimization parameters. We evaluated the effects of genome size and %GC content on assay development. When used collectively, specific strategies markedly improved the rate of successful assays at the first design attempt from ~50% to ~80%. We observed that Melt-MAMA accurately genotypes across a broad DNA range (~100 ng to ~0.1 pg). Genomic size and %GC content influence the rate of successful assay design in an independent manner. Finally, we demonstrated the versatility of these assays by the creation of a duplex Melt-MAMA real-time PCR (two SNPs) and conversion to a size-based genotyping system, which uses agarose gel electrophoresis. Melt-MAMA is comparable to Dual Probe TaqMan assays in terms of design success rate and accuracy. Although sensitivity is less robust than Dual Probe TaqMan assays, Melt-MAMA is superior in terms of cost-effectiveness, speed of development and versatility. We detail the parameters most important for the successful application of Melt-MAMA, which should prove useful to the wider scientific community

    Phylogeography of Francisella tularensis subspecies holarctica from the country of Georgia

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    <p>Abstract</p> <p>Background</p> <p><it>Francisella tularensis</it>, the causative agent of tularemia, displays subspecies-specific differences in virulence, geographic distribution, and genetic diversity. <it>F. tularensis </it>subsp. <it>holarctica </it>is widely distributed throughout the Northern Hemisphere. In Europe, <it>F. tularensis </it>subsp. <it>holarctica </it>isolates have largely been assigned to two phylogenetic groups that have specific geographic distributions. Most isolates from Western Europe are assigned to the B.Br.FTNF002-00 group, whereas most isolates from Eastern Europe are assigned to numerous lineages within the B.Br.013 group. The eastern geographic extent of the B.Br.013 group is currently unknown due to a lack of phylogenetic knowledge about populations at the European/Asian juncture and in Asia. In this study, we address this knowledge gap by describing the phylogenetic structure of <it>F. tularensis </it>subsp. <it>holarctica </it>isolates from the country of Georgia, and by placing these isolates into a global phylogeographic context.</p> <p>Results</p> <p>We identified a new genetic lineage of <it>F. tularensis </it>subsp. <it>holarctica </it>from Georgia that belongs to the B.Br.013 group. This new lineage is genetically and geographically distinct from lineages previously described from the B.Br.013 group from Central-Eastern Europe. Importantly, this new lineage is basal within the B.Br.013 group, indicating the Georgian lineage diverged before the diversification of the other known B.Br.013 lineages. Although two isolates from the Georgian lineage were collected nearby in the Ukrainian region of Crimea, all other global isolates assigned to this lineage were collected in Georgia. This restricted geographic distribution, as well as the high levels of genetic diversity within the lineage, is consistent with a relatively older origin and localized differentiation.</p> <p>Conclusions</p> <p>We identified a new lineage of <it>F. tularensis </it>subsp. <it>holarctica </it>from Georgia that appears to have an older origin than any other diversified lineages previously described from the B.Br.013 group. This finding suggests that additional phylogenetic studies of <it>F. tularensis </it>subsp. <it>holarctica </it>populations in Eastern Europe and Asia have the potential to yield important new insights into the evolutionary history and phylogeography of this broadly dispersed <it>F. tularensis </it>subspecies.</p

    French shore

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    french aThis French shore, which is nearly one-half of the whole coast-line of Newfoundland, extends, as has been mentioned before, from Cape St. John on the north-east to Cape Ray on the south-west . . .See cited quotationPRINTED ITEMG. M. Story MAR 1970JH 3/70Used I and SupUsed I and SupNot use

    VNTR markers.

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    <p>*Data obtained in this study.</p>†<p>The individual marker diversity (D) was calculated as D = [1-∑(allele frequency)<sup>2</sup>].</p>††<p>Location within an open reading frame.</p><p>VNTR markers.</p

    <i>PmeI</i> pulsed-field gel electrophoresis (PFGE) patterns for <i>F. tularensis</i> subsp. <i>holarectica</i>.

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    <p>Polymorphic band position 1 consists of two fragments in PFGE type 2. Polymorphic band position 2 and 3 consist of two fragments at the same position, both missing in PFGE type 2. Polymorphic band position 6 consists of two fragments in PFGE type 3.</p
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