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The quantification of messenger RNA expression levels by real-time reverse-transcription polymerase chain reaction requires the availability of reference genes that are stably expressed regardless of the experimental conditions under study. We examined the expression variations of a set of eight candidate reference genes in tomato leaf and root tissues subjected to the infection of five taxonomically and molecularly different plant viruses and a viroid, inducing diverse pathogenic effects on inoculated plants. Parallel analyses by three commonly used dedicated algorithms, geNorm, NormFinder and BestKeeper, showed that different viral infections and tissues of origin influenced, to some extent, the expression levels of these genes. However, all algorithms showed high levels of stability for glyceraldehyde 3-phosphate dehydrogenase and ubiquitin, indicated as the most suitable endogenous transcripts for normalization in both tissue types. Actin and uridylate kinase were also stably expressed throughout the infected tissues, whereas cyclophilin showed tissue-specific expression stability only in root samples. By contrast, two widely employed reference genes, 18S ribosomal RNA and elongation factor 1α, demonstrated highly variable expression levels that should discourage their use for normalization. In addition, expression level analysis of ascorbate peroxidase and superoxide dismutase showed the modulation of the two genes in virus-infected tomato leaves and roots. The relative quantification of the two genes varied according to the reference genes selected, thus highlighting the importance of the choice of the correct normalization method in such experiments.
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http://dx.doi.org/10.1111/j.1364-3703.2010.00646.x | DOI Listing |
Bioinformatics
September 2025
Department of Mathematical Sciences, The University of Texas at Dallas, TX United States.
Motivation: The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profiling while preserving spatial and morphological context. Understanding gene functions and interactions in different spatial domains is crucial, as it can enhance our comprehension of biological mechanisms, such as cancer-immune interactions and cell differentiation in various regions. It is necessary to cluster tissue regions into distinct spatial domains and identify discriminating genes that elucidate the clustering result, referred to as spatial domain-specific discriminating genes (DGs).
View Article and Find Full Text PDFAppl Microbiol Biotechnol
September 2025
School of Plant Sciences, The University of Arizona, 1140 E South Campus Drive, Forbes 303, Tucson, AZ, 85721, USA.
Fungal endophytes and epiphytes associated with plant leaves can play important ecological roles through the production of specialized metabolites encoded by biosynthetic gene clusters (BGCs). However, their functional capacity, especially in crops like lettuce (Lactuca sativa L.), remains poorly understood.
View Article and Find Full Text PDFAPMIS
September 2025
Laboratory of Parasitology, Department of Bacteria, Parasites and Fungi, Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Clinical microbiology involves the detection and differentiation of primarily bacteria, viruses, parasites and fungi in patients with infections. Billions of people may be colonised by one or more species of common luminal intestinal parasitic protists (CLIPPs) that are often detected in clinical microbiology laboratories; still, our knowledge on these organisms' impact on global health is very limited. The genera Blastocystis, Dientamoeba, Entamoeba, Endolimax and Iodamoeba comprise CLIPPs species, the life cycles of which, as opposed to single-celled pathogenic intestinal parasites (e.
View Article and Find Full Text PDFJ Pharmacol Toxicol Methods
September 2025
Altasciences Preclinical Seattle, 6605 Merrill Creek Pkwy, Everett, Seattle, WA 98203, USA.
The Nanopig™ model is an emerging non-rodent platform for (bio)pharmaceutical safety assessment, with potential advantages for translational research. Here, we report initial characterization results using whole genome sequencing (WGS) and tissue-based proteomics, focusing on drug metabolism and immune system relevance. WGS produced a high-quality Nanopig™ genome assembly (2.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
September 2025
State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, PR China.
EzBioCloud is one of the practical reference databases and analytical platforms for systematic microbiology research. The EzBioCloud database provides convenient services in this regard, especially for performing sequence analysis using the 16S rRNA genes. However, '.
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