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Onions are one of the most widely cultivated vegetables worldwide; however, the development and utilization of molecular markers have been limited because of the large genome of this plant. We present a genome-wide marker design workflow for onions and its application in a high-throughput genotyping method based on target amplicon sequencing. The efficiency of the method was evaluated by genotyping of F2 populations. In the marker design workflow, unigene and genomic sequence data sets were constructed, and polymorphisms between parental lines were detected through transcriptome sequence analysis. The positions of polymorphisms detected in the unigenes were mapped onto the genome sequence, and primer sets were designed. In total, 480 markers covering the whole genome were selected. By genotyping an F2 population, 329 polymorphic sites were obtained from the estimated positions or the flanking sequences. However, missing or sparse marker regions were observed in the resulting genetic linkage map. We modified the markers to cover these regions by genotyping the other F2 populations. The grouping and order of markers on the linkages were similar across the genetic maps. Our marker design workflow and target amplicon sequencing are useful for genome-wide genotyping of onions owing to their reliability, cost effectiveness, and flexibility.
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http://dx.doi.org/10.1093/dnares/dsac020 | DOI Listing |
Theor Appl Genet
September 2025
State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hybrid breeding based on male sterility requires the removal of male parents, which is time- and labor-intensive; however, the use of female sterile male parent can solve this problem. In the offspring of distant hybridization between Brassica oleracea and Brassica napus, we obtained a mutant, 5GH12-279, which not only fails to generate gynoecium (thereby causing female sterility) but also has serrated leaves that could be used as a phenotypic marker in seedling screening. Genetic analysis revealed that this trait was controlled by a single dominant gene.
View Article and Find Full Text PDFHum Reprod
September 2025
Institut National de la Santé et de la Recherche Médicale, Ecole des Hautes Etudes en Santé Publique, Institut de recherche en santé, environnement et travail, Université de Rennes-UMR_S1085, Rennes, France.
Study Question: What is the direct effect of mumps virus (MuV) replication within the human testis on the tissue innate immune responses and testicular cell functions?
Summary Answer: MuV induces an early pro-inflammatory response in the human testis ex vivo and infects both Leydig cells and Sertoli cells, which drastically alters testosterone and inhibin B production.
What Is Known Already: Despite widespread vaccination efforts, orchitis remains a significant complication of MuV infection, especially in young men, which potentially results in infertility in up to 87% of patients with bilateral orchitis. Our understanding of MuV pathogenesis in the human testis has been limited by the lack of relevant animal models, impairing the development of effective treatments.
Am J Prev Med
September 2025
Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA; Intramural Research Program, National Institute on Minority Health Disparities, National Institutes of Health, Bethesda, Maryland, USA
Background: Epidemiologic studies have linked neighborhood socioeconomic conditions to health. However, few have examined neighborhood structural investment (NSI) influences on cardiometabolic risk markers across urban environments. This study investigated whether NSI varies by historic redlining, associations between NSI and the prevalence of obesity, diabetes, and coronary heart disease (CHD) and whether redlining's effect on obesity, diabetes, and CHD prevalence are mediated by neighborhood structural investment.
View Article and Find Full Text PDFCell Syst
September 2025
Ray and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address:
Identifying cell types in highly multiplexed images is essential for understanding tissue spatial organization. Current cell-type annotation methods often rely on extensive reference images and manual adjustments. In this work, we present a tool, the Robust Image-Based Cell Annotator (RIBCA), that enables accurate, automated, unbiased, and fine-grained cell-type annotation for images with a wide range of antibody panels without requiring additional model training or human intervention.
View Article and Find Full Text PDFCell Rep Methods
August 2025
Department of Biomedical Engineering and Computational Biology Program, OHSU, Portland, OR, USA; Knight Cancer Institute, OHSU, Portland, OR, USA. Electronic address:
We present UniFORM, a non-parametric, Python-based pipeline for normalizing multiplex tissue imaging (MTI) data at both the feature and pixel levels. UniFORM employs an automated rigid landmark registration method tailored to the distributional characteristics of MTI, with UniFORM operating without prior distributional assumptions and handling both unimodal and bimodal patterns. By aligning the biologically invariant negative populations, UniFORM removes technical variation while preserving tissue-specific expression patterns in positive populations.
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