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Wheat is an important source of minerals for human nutrition and increasing grain mineral content can contribute to reducing mineral deficiencies. Here, we identify QTLs for mineral micronutrients in grain of wheat by determining the contents of six minerals in a total of eleven sample sets of three biparental populations from crosses between A.E. Watkins landraces and cv. Paragon. Twenty-three of the QTLs are mapped in two or more sample sets, with LOD scores above five in at least one set with the increasing alleles for sixteen of the QTLs being present in the landraces and seven in Paragon. Of these QTLs, the number for each mineral varies between three and five and they are located on 14 of the 21 chromosomes, with clusters on chromosomes 5A (four), 6A (three), and 7A (three). The gene content within 5 megabases of DNA on either side of the marker for the QTL with the highest LOD score is determined and the gene responsible for the strongest QTL (chromosome 5A for Ca) identified as an ATPase transporter gene (TraesCS5A02G543300) using mutagenesis. The identification of these QTLs, together with associated SNP markers and candidate genes, will facilitate the improvement of grain nutritional quality.
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http://dx.doi.org/10.1038/s42003-024-06692-7 | DOI Listing |
J Appl Stat
February 2025
Department of Mathematics & Statistics, International Islamic University, Islamabad, Pakistan.
Adaptive cluster sampling is particularly helpful whenever the target population is unique, dispersed unevenly, concealed or difficult to find. In the current investigation, under an adaptive cluster sampling approach, we propose a ratio-product-logarithmic type estimator employing a single auxiliary variable for the estimation of finite population variance. The bias and mean square error of the proposed estimator are developed by using simulation as well as real data sets.
View Article and Find Full Text PDFNat Biomed Eng
September 2025
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Phenotype-driven approaches identify disease-counteracting compounds by analysing the phenotypic signatures that distinguish diseased from healthy states. Here we introduce PDGrapher, a causally inspired graph neural network model that predicts combinatorial perturbagens (sets of therapeutic targets) capable of reversing disease phenotypes. Unlike methods that learn how perturbations alter phenotypes, PDGrapher solves the inverse problem and predicts the perturbagens needed to achieve a desired response by embedding disease cell states into networks, learning a latent representation of these states, and identifying optimal combinatorial perturbations.
View Article and Find Full Text PDFGenes Immun
September 2025
Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
In coeliac disease (CeD), the epithelial lining (EL) of the small intestine is severely damaged by a complex auto-inflammatory response, leading intraepithelial lymphocytes to attack epithelial cells. To understand the intestinal changes and genetic regulation in CeD, we investigated the heterogeneity in the transcriptomic profile of the duodenal EL using RNA-seq and eQTL analysis on predicted cell types. The study included duodenal biopsies from 82 patients, grouped into controls, gluten-free diet treated CeD and untreated CeD.
View Article and Find Full Text PDFToxicol Sci
September 2025
Aquatic and Crop Resource Development, National Research Council of Canada, Halifax, NS, B3H 3Z1, Canada.
In the zebrafish larval toxicity model, phenotypic changes induced by chemical exposure can potentially be explained and predicted by the analysis of gene expression changes at sub-phenotypic concentrations. The increase in knowledge of gene pathway-specific effects arising from the zebrafish transcriptomic model has the potential to enhance the role of the larval zebrafish as a component of Integrated Approaches to Testing and Assessment (IATA). In this paper, we compared the transcriptomic responses of triphenyl phosphate between two standard exposure paradigms, the Zebrafish Embryo Toxicity (ZET) and General and Behavioural Toxicity (GBT) assays.
View Article and Find Full Text PDFBioinformatics
September 2025
Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.
Summary: In Bayesian phylogenetic and phylodynamic studies it is common to summarise the posterior distribution of trees with a time-calibrated summary phylogeny. While the maximum clade credibility (MCC) tree is often used for this purpose, we here show that a novel summary tree method-the highest independent posterior subtree reconstruction, or HIPSTR-contains consistently higher supported clades over MCC. We also provide faster computational routines for estimating both summary trees in an updated version of TreeAnnotator X, an open-source software program that summarizes the information from a sample of trees and returns many helpful statistics such as individual clade credibilities contained in the summary tree.
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