Fast and reliable analytical methods for the identification of plants from metagenomic samples play an important role in identifying the components of complex mixtures of processed biological materials, including food, herbal products, gut contents or environmental samples. Different PCR-based methods that are commonly used for plant identification from metagenomic samples are often inapplicable due to DNA degradation, a low level of successful amplification or a lack of detection power. We introduce a method that combines metagenomic sequencing and an alignment-free -mer based approach for the identification of plant DNA in processed metagenomic samples.
View Article and Find Full Text PDFPolymerase chain reaction and different barcoding methods commonly used for plant identification from metagenomics samples are based on the amplification of a limited number of pre-selected barcoding regions. These methods are often inapplicable due to DNA degradation, low amplification success or low species discriminative power of selected genomic regions. Here we introduce a method for the rapid identification of plant taxon-specific -mers, that is applicable for the fast detection of plant taxa directly from raw sequencing reads without aligning, mapping or assembling the reads.
View Article and Find Full Text PDFSummary: Designing PCR primers for amplifying regions of eukaryotic genomes is a complicated task because the genomes contain a large number of repeat sequences and other regions unsuitable for amplification by PCR. We have developed a novel k-mer based masking method that uses a statistical model to detect and mask failure-prone regions on the DNA template prior to primer design. We implemented the software as a standalone software primer3_masker and integrated it into the primer design program Primer3.
View Article and Find Full Text PDFObjectives: To describe the phenotype and determine the genetic cause of autosomal dominant retinitis pigmentosa (adRP) in a large African American family.
Methods: Fourteen members from 4 generations were evaluated clinically. Visual field measurements were made for most, and electroretinography, Tübinger perimetry, and optical coherence tomographic testing were done for individual family members.