PerfeCTa Multiplex qPCR ToughMix
Features & Benefits
- 1-tube SuperMix minimizes pipetting steps, simplifying reaction assembly and improving accuracy
- 5x concentrated reagent provides more flexibility with dilute DNA samples sensitivity
- ToughMix reagent technology neutralizes a broad spectrum of PCR inhibitors common in plant and animal tissues, environmental sources, clinical specimens and complex food matrices
- Superior assay sensitivity and specificity with ultrapure AccuStart II enzyme technology – maximum-yielding Taq DNA polymerase mutant controlled by stringent, multi-epitope antibody hotstart
- Supports efficient vortex mixing with proprietary anti-foaming additives
PerfeCTa Multiplex qPCR ToughMix is intended for molecular biology applications. This product is not intended for the diagnosis, prevention or treatment of a disease.
Suppression of low copy amplicons by high copy reference targets during multiplex co-amplification skews the apparent representation and quantification of low copy target sequences. PerfeCTa MultiPlex qPCR ToughMix transcends these limitations by enabling sensitive, broad linear dynamic detection range with co-amplification of four abundant (106) targets. PerfeCTa MultiPlex qPCR ToughMix enables multiplex qPCR assay performance comparable to single-plex qPCR probe assays without the need to rigorously titrate primer concentration. PerfeCTa MultiPlex qPCR ToughMix is a 5x concentrated, ready to-use reaction cocktail for real-time quantitative PCR (qPCR) with ToughMix reagent technology that neutralizes a broad spectrum of PCR inhibitors that compromise assay performance with crude extracts, clinical specimens, plant, soil environmental or complex food matrices. A key component of the kit is an ultrapure, highly-processive thermostable DNA polymerase that is free of detectable E. coli DNA. PPerfeCTa MultiPlex qPCR ToughMix is ideal for demanding qPCR applications such as bacterial pathogen detection where residual host DNA in typical recombinant enzyme preparations can limit assay sensitivity and obscure detection of low copy samples.
A Multiplexed Real-time PCR Assay to Detect SCID and SMN1 Homozygous Exon 7 Deletion, and A Droplet Digital PCR Assay to Assess SMN2 Copy Numbers, in Newborn screening for Spinal Muscular Atrophy
Single-tube, 5X concentrated reagent containing:
- Reaction buffer with optimized concentrations of molecular-grade MgCl2, dATP, dCTP, dGTP, dTTP.
- AccuStart II Taq DNA Polymerase.
- Proprietary enzyme stabilizers and performance-enhancing additives.
- Titrated reference dye (if applicable).
Storage & HandlingStore components in a constant temperature freezer at -25°C to -15°C protected from light upon receipt. Repeated freezing and thawing does not impair product performance. For lot specific expiry date, refer to package label, Certificate of Analysis or Product Specification Form.
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Giardia duodenalisinfection among school-going children in NepalSarmila Tandukar, Parasitology Research - 2018AbstractThis study aimed to determine the prevalence of intestinal parasites and its associated risk factors among school-going children in Kathmandu, Nepal. Between August and September 2016, a total of 333 stool samples were collected from children at five public schools. The collected samples were subjected to formol-ether concentration, followed by conventional microscopic examination for intestinal parasites. The overall prevalence of intestinal parasites was 24.3% (81/333), with Giardia spp. showing the highest prevalence of 18.9% (63/333). Samples positive for Giardia spp. by microscopy were further subjected to quantitative polymerase chain reaction (qPCR) for G. duodenalis, resulting in a positive ratio of 100%. The positive ratio of Giardia spp. was considerably high among children consuming tanker water (27.3%), jar water (21.0%), and tap water (17.5%). Our results demonstrated that G. duodenalis remains predominant in school-going children in Nepal.Strain-specific quantification of root colonization by plant growth promoting rhizobacteria Bacillus firmus I-1582 and Bacillus amyloliquefaciens QST713 in non-sterile soil and field conditionsHajeewaka C. Mendis, PLOS ONE - 2018AbstractBacillus amyloliquefaciens QST713 and B. firmus I-1582 are bacterial strains which are used as active ingredients of commercially-available soil application and seed treatment products Serenade® and VOTiVO®, respectively. These bacteria colonize plant roots promoting plant growth and offering protection against pathogens/pests. The objective of this study was to develop a qPCR protocol to quantitate the dynamics of root colonization by these two strains under field conditions. Primers and TaqMan® probes were designed based on genome comparisons of the two strains with publicly-available and unpublished bacterial genomes of the same species. An optimized qPCR protocol was developed to quantify bacterial colonization of corn roots after seed treatment. Treated corn seeds were planted in non-sterile soil in the greenhouse and grown for 28 days. Specific detection of bacteria was quantified weekly, and showed stable colonization between ~104–105 CFU/g during the experimental period for both bacteria, and the protocol detected as low as 103 CFU/g bacteria on roots. In a separate experiment, streptomycin-resistant QST713 and rifampicin-resistant I-1582 strains were used to compare dilution-plating on TSA with the newly developed qPCR method. Results also indicated that the presence of natural microflora and another inoculated strain does not affect root colonization of either one of these strains. The same qPCR protocol was used to quantitate root colonization by QST713 and I-1582 in two corn and two soybean varieties grown in the field. Both bacteria were quantitated up to two weeks after seeds were planted in the field and there were no significant differences in root colonization in either bacteria strain among varieties. Results presented here confirm that the developed qPCR protocol can be successfully used to understand dynamics of root colonization by these bacteria in plants growing in growth chamber, greenhouse and the field.Assessment of Erysiphe necator ascospore release models for use in the Mediterranean climate of Western OregonClick here to see all PublicationsLindsey D Thiessen, Plant Disease - 2018AbstractPredictive models have been developed in several major grape-growing regions to correlate environmental conditions to Erysiphe necator ascospore release; however, these models may not be broadly applicable in regions with different climatic conditions. To assess ascospore release in near-coastal regions of western Oregon, chasmothecia (syn. cleistothecia) were collected prior to leaf drop and placed onto natural and artificial grape trunk segments and overwintered outside. Ascospore release was monitored for three overwintering seasons using custom impaction spore traps from leaf drop (BBCH 97) until the onset of the disease epidemic in the following growing season. Airborne inoculum was concurrently monitored in a naturally infested research vineyard. Weather and ascospore release data were used to assess previously-developed models, and correlate environmental conditions to ascospore release. Ascospore release was predicted by all models prior to bud break (BBCH 08), and was observed from the first rain event following the start of inoculum monitoring until monitoring ceased. Previously developed models over-predicted ascospore release in the Willamette Valley and predicted exhaustion of inoculum prior to bud break. The magnitude of ascospore release could not be correlated to environmental conditions, thus a binary ascospore release model was developed where release is a function of the collective occurrence of the following factors within a 24-hour period: > 6 hours of cumulative leaf wetness during temperatures > 4 °C, precipitation > 2.5 mm, and relative humidity > 80%. The Oregon Model was validated using field collected ascospore datasets, and predicted ascospore release with 66% accuracy (P = 0.02). Extant methods for estimating ascospore release may not be sufficiently accurate to use as predictive models in wet, temperate climatic regions.