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1.
Bioinformatics ; 34(11): 1937-1938, 2018 06 01.
Artículo en Inglés | MEDLINE | ID: mdl-29360956

RESUMEN

Summary: 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. Availability and implementation: The standalone version of primer3_masker is implemented in C. The source code is freely available at https://github.com/bioinfo-ut/primer3_masker/ (standalone version for Linux and macOS) and at https://github.com/primer3-org/primer3/ (integrated version). Primer3 web application that allows masking sequences of 196 animal and plant genomes is available at http://primer3.ut.ee/. Contact: maido.remm@ut.ee. Supplementary information: Supplementary data are available at Bioinformatics online.


Asunto(s)
Cartilla de ADN , Reacción en Cadena de la Polimerasa/métodos , Secuencias Repetitivas de Ácidos Nucleicos , Programas Informáticos , Animales , Humanos , Plantas/genética
2.
Front Plant Sci ; 11: 646, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32528502

RESUMEN

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 k-mer based approach for the identification of plant DNA in processed metagenomic samples. Our method identifies plant DNA directly from metagenomic sequencing reads and does not require mapping or assembly of the reads. We identified more than 31,000 Lupinus-specific 32-mers from assembled chloroplast genome sequences. We demonstrate that lupin DNA can be detected from controlled mixtures of sequences from target species (different Lupinus species) and closely related non-target species (Arachis hypogaea, Glycine max, Pisum sativum, Vicia faba, Phaseolus vulgaris, Lens culinaris, and Cicer arietinum). Moreover, these 32-mers are detectable in the following processed samples: lupin flour, conserved seeds and baked cookies containing different amounts of lupin flour. Under controlled conditions, lupin-specific components are detectable in baked cookies containing a minimum of 0.05% of lupin flour in wheat flour.

3.
Front Plant Sci ; 9: 6, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29387080

RESUMEN

Polymerase 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 k-mers, that is applicable for the fast detection of plant taxa directly from raw sequencing reads without aligning, mapping or assembling the reads. We identified more than 800 Solanum lycopersicum specific k-mers (32 nucleotides in length) from 42 different chloroplast genome regions using the developed method. We demonstrated that identified k-mers are also detectable in whole genome sequencing raw reads from S. lycopersicum. Also, we demonstrated the usability of taxon-specific k-mers in artificial mixtures of sequences from closely related species. Developed method offers a novel strategy for fast identification of taxon-specific genome regions and offers new perspectives for detection of plant taxa directly from sequencing raw reads.

4.
Arch Ophthalmol ; 126(8): 1127-32, 2008 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-18695108

RESUMEN

OBJECTIVES: 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. Genetic screening was performed on a recently introduced adRP microarray that contains approximately 400 mutations from 13 genes. RESULTS: All of the affected members had a type 1 form of adRP, characterized by early onset of symptoms for visual impairment, marked central and peripheral vision loss, nondetectable electroretinographic responses, and decreased macular thickness on optical coherence tomographic testing. Two variants in the PRPF8 gene were identified in the proband, H2309R and IVS41-4G-->A. The H2309R mutation segregated with the disease in the family, whereas the IVS41-4G-->A variant did not. CONCLUSIONS: The severe form of adRP was caused by the PRPF8 H2309R variant, whereas the IVS41-4G-->A variant was benign. CLINICAL RELEVANCE: PRPF8 mutations should be suspected in patients with a type 1 form of adRP. A combination of advanced clinical workup and comprehensive genetic testing is essential for the precise diagnosis of diseases with high genetic heterogeneity such as RP.


Asunto(s)
Negro o Afroamericano/genética , Proteínas Portadoras/genética , Mutación Missense , Retinitis Pigmentosa/genética , Adolescente , Adulto , Niño , Preescolar , Electrorretinografía , Femenino , Genes Dominantes , Humanos , Masculino , Persona de Mediana Edad , Linaje , Fenotipo , Proteínas de Unión al ARN , Retinitis Pigmentosa/patología , Tomografía de Coherencia Óptica , Trastornos de la Visión/genética , Agudeza Visual , Pruebas del Campo Visual , Campos Visuales
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