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Mapping quantitative trait loci regions associated with Marek's disease on chicken autosomes by means of selective DNA pooling.
Sci Rep
December 2024
Hy-Line International, 2583 240th St, PO Box 310, Dallas Center, 50063, IA, USA.
Marek's Disease (MD), which can result in neurological damage and tumour formation, has large effects on the economy and animal welfare of the poultry industry worldwide. Previously, we mapped autosomal MD QTL regions (QTLRs) by individual genotyping of an F population from a full-sib advanced intercross line. We further mapped MD QTLRs on the chicken Z chromosome (GGZ) using the same F population, and by selective DNA pooling (SDP) of 8 elite egg production lines.
View Article and Find Full Text PDFA Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes.
Sci Rep
December 2024
Cereal Disease Laboratory, Agricultural Research Service, US Department of Agriculture, St. Paul, MN, 55108, USA.
Fusarium graminearum is a primary cause of Fusarium head blight (FHB) on wheat and barley. The fungus produces trichothecene mycotoxins that render grain unsuitable for food, feed, or malt. Isolates of F.
View Article and Find Full Text PDFApplication of rapid genotyping of Warfarin individualized pharmacogenetic variants in Warfarin therapy.
Sci Rep
December 2024
Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Warfarin is the most widely used oral anticoagulant in clinical practice. The cytochrome P450 2C9 (CYP2C9), vitamin K epoxide reductase complex 1 (VKORC1), and cytochrome P450 4F2 (CYP4F2) genotypes are associated with warfarin dose requirements in China. Accurate genotyping is vital for obtaining reliable genotype-guided warfarin dosing information.
View Article and Find Full Text PDFDifferences between mates at the TLR1Lb locus are associated with lower reproductive success in a long-lived seabird.
Sci Rep
December 2024
Department of Biology, Queen's University, Kingston, ON, Canada.
Genetic diversity can influence fitness components such as survival and reproductive success. Yet the association between genetic diversity and fitness based on neutral loci is sometime very weak and inconsistent, with relationships varying among taxa due to confounding effects of population demography and life history. Fitness-diversity relationships are likely to be stronger and more consistent for genes known to influence phenotypic traits, such as immunity-related genes, and may also depend on the genetic differences between breeding partners.
View Article and Find Full Text PDFQuantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN.
Nat Commun
December 2024
State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Biomedical Pioneering Innovative Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), Peking University, 100871, Beijing, China.
Deciphering how noncoding DNA determines gene expression is critical for decoding the functional genome. Understanding the transcription effects of noncoding genetic variants are still major unsolved problems, which is critical for downstream applications in human genetics and precision medicine. Here, we integrate regulatory-specific neural networks and tissue-specific gradient-boosting trees to build SVEN: a hybrid sequence-oriented architecture that can accurately predict tissue-specific gene expression level and quantify the tissue-specific transcriptomic impacts of structural variants across more than 350 tissues and cell lines.
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