Although the Asian gypsy moth Lymantria dispar causes extensive forest damage worldwide, little is known regarding the genes involved in its development or response to insecticides. Accordingly, characterization of the transcriptome of L. dispar larvae would promote the development of toxicological methods for its control. RNA-seq analysis of L. dispar larvae messenger RNA (mRNA) generated 62,063 unigenes with N50 of 993 bp, from which 23,975 unique sequences (E-value < 10(-5)) were identified using a BLASTx search of the NCBI non-redundant (nr) database. Using functional classification in the Gene Ontology (GO) and Clusters of Orthologous Groups (COG) databases, 7,309 indentified sequences were categorized into 51 functional groups and 8,079 sequences were categorized into 25 functional groups, respectively. Moreover, we identified a large number of transcripts encoding known insecticide targets, or proteins involved in the metabolism of insecticides. Reads per kilobase of unigene length per million mapped reads (RPKM) analysis identified 39 high abundance transcripts, of which 27 exhibited significantly altered expression patterns across the egg, larvae, pupae, male and female adult stages. Our study provides the most comprehensive transcriptomic sequence resource for L. dispar, which will form the basis for future identification of candidate insecticide resistance genes in L. dispar.
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http://dx.doi.org/10.1016/j.pestbp.2015.02.005 | DOI Listing |
PLoS One
January 2025
Laboratory of Functional Genomics and Proteomics, Department of Genetic Engineering and Biotechnology, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore, Bangladesh.
The cation-proton antiporter (CPA) superfamily plays pivotal roles in regulating cellular ion and pH homeostasis in plants. To date, the regulatory functions of CPA family members in rice (Oryza sativa L.) have not been elucidated.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Single-cell RNA sequencing (scRNA-seq) is a valuable tool for investigating cellular heterogeneity in diseases such as equine asthma (EA). This study evaluates the HIVE™ scRNA-seq method, a pico-well-based technology, for processing bronchoalveolar lavage (BAL) cells from horses with EA. The HIVE method offers practical advantages, including compatibility with both field and clinical settings, as well as a gentle workflow suited for handling sensitive cells.
View Article and Find Full Text PDFElife
January 2025
Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States.
Techniques that enable precise manipulations of subsets of neurons in the fly central nervous system (CNS) have greatly facilitated our understanding of the neural basis of behavior. Split-GAL4 driver lines allow specific targeting of cell types in and other species. We describe here a collection of 3060 lines targeting a range of cell types in the adult CNS and 1373 lines characterized in third-instar larvae.
View Article and Find Full Text PDFFEBS J
January 2025
Department of Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Japan.
Alternative splicing (AS) plays an important role in neuronal development, function, and disease. Efforts to analyze the transcriptome of AS in neurons on a wide scale are currently limited. We characterized the transcriptome-wide AS changes in SH-SY5Y neuronal differentiation model, which is widely used to study neuronal function and disorders.
View Article and Find Full Text PDFImmun Inflamm Dis
January 2025
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Background: Long COVID, a heterogeneous condition characterized by a range of physical and neuropsychiatric presentations, can be presented with a proportion of COVID-19-infected individuals.
Methods: Transcriptomic data sets of those within gene expression profiles of COVID-19, long COVID, and healthy controls were retrieved from the GEO database. Differentially expressed genes (DEGs) falling under COVID-19 and long COVID were identified with R packages, and contemporaneously conducted module detection was performed with the Modular Pharmacology Platform (http://112.
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