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Introduction: () is a facultative anaerobic, gram-negative bacterium that can be utilized for the biological control of pests. However, the molecular mechanisms underlying the pathogenicity of E. cancerogenus in insect hosts remain largely unexplored.
Methods: In this study, the model was employed to investigate the pathogenicity of strain ECL7, a bacterium pathogenic to silkworms, through whole-genome sequencing, 16S rDNA sequencing, and transcriptome analysis.
Results: The results revealed that ECL7 harbors virulence genes associated with biofilm formation, adhesion, type III secretion system (T3SS), type VI secretion system (T6SS), and other factors, which collectively lead to damage to the peritrophic matrix (PM) and intestinal epithelial cells of the silkworm midgut following infection, and reduced silkworm larval survival rates and inhibited their growth and development. Additionally, ECL7 infection altered the composition and abundance of intestinal microorganisms, with and becoming dominant species. ECL7 also stimulated the expression of genes related to the Toll and IMD immune signaling pathways, resulting in the upregulation of antimicrobial peptide-related differentially expressed genes (DEGs). Furthermore, transcriptomic analysis revealed an upregulation of DEGs associated with oxidative stress in response to ECL7 infection.
Discussion: This study provides valuable insights into the molecular mechanisms underlying the interaction between and silkworms. The findings contribute to the prevention and control of infections caused by this bacterium in sericulture production and offer novel ideas for the potential application of in pest biological control.
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http://dx.doi.org/10.3389/fmicb.2025.1548808 | DOI Listing |
J Occup Environ Hyg
September 2025
Division of Biology, Chemistry, and Materials Science, Office of Science and Engineering Laboratories, US Food and Drug Administration (FDA), Oak Ridge, Tennessee.
This work assesses the current characterization framework of single-use personal protective equipment (PPE) per recognized consensus standards and presents a novel quantitative approach to refining characterization of barrier materials and predicting PPE performance. Scanning electron microscopy (SEM) and image analysis software (Diameter J) were used to examine the microscopic fiber and pore structure of filter layers of surgical N95 filtering facepiece respirators, before and after exposure to chemicals used in decontamination modalities (vaporized hydrogen peroxide or ozone). The effect of porosity on penetration was assessed by bacterial filtration efficiency (BFE) testing.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853.
Ovulation is an intricate process that is essential for reproductive success. In , ovulation increases after mating. This increase is initiated by the male seminal fluid protein ovulin and is executed by female pathways, including octopamine (OA) neuronal signaling.
View Article and Find Full Text PDFPLoS Pathog
September 2025
Department of Molecular, Cellular and Developmental Biology, University of California, Santa Cruz, California, United States of America.
The discovery of the endosymbiotic bacteria Wolbachia as an obligate symbiont of. filarial nematodes has led to antibiotic-based treatments for filarial diseases. While lab.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
OmnibusXLab, OmnibusX Company Limited, Ho Chi Minh City, Vietnam.
OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters.
View Article and Find Full Text PDFPLoS One
September 2025
Information Technologies and Programming Faculty, ITMO University, Saint Petersburg, Russia.
In the paper we consider the well-known Influence Maximization (IM) and Target Set Selection (TSS) problems for Boolean networks under Deterministic Linear Threshold Model (DLTM). The main novelty of our paper is that we state these problems in the context of pseudo-Boolean optimization and solve them using evolutionary algorithms in combination with the known greedy heuristic. We also propose a new variant of (1 + 1)-Evolutionary Algorithm, which is designed to optimize a fitness function on the subset of the Boolean hypercube comprised of vectors of a fixed Hamming weight.
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