2026· Methods in molecular biology· Vol 3050, pp.
331-343
· 0 citations
Medicine
TL;DR
A systematic computational workflow is presented for the identification and structural analysis of putative effector proteins in Ustilago maydis, a biotrophic model fungus, providing a framework to prioritize effector candidates for experimental validation and can be readily applied to diverse fungal pathogens.
Successive genome improvements reveal that while AP5292 and AP143 remain conserved, AP1260 and especially AP10948 have expanded into highly divergent multi-haplotype families, with AP10948 now comprising 25 tandemly duplicated variants.
J. V. Sullivan, M. Currie, P. J. Prendergast et al.· Australasian Plant Pathology· 0 citations
Cercospora zeina causes gray leaf spot disease on maize in Africa. As a foliar fungal pathogen, C. zeina relies on effectors to facilitate successful infection and colonization of its host. Predicting effector function is therefore essential for understanding the molecular mechanisms underlying this plant-pathogen inte...
T. Nadasen, Ingo Hein, D. K. Berger· Molecular Plant-Microbe Inte...· 0 citations
Protein-protein interactions (PPIs) influence critical biological processes in pathogenic microorganisms, such as the human fungal pathogen, Cryptococcus neoformans. Fungal thermotolerance and stress response pathways are key virulence determinants that directly impact pathogen adaptation and survival and the infection...
Mayara Barbara da Silva, Mariana Cavalcante Almeida Sa, Florence Roux-Dalvai et al.· bioRxiv· 0 citations
The Solanaceae family includes diverse crop species of major agricultural importance. Their defense against pathogens depends on a complex immune network involving pattern-recognition receptors (PRRs) and nucleotide-binding leucine-rich repeat (NLR) proteins. However, the conservation and diversification of these genes...
D. Gutierrez-Castillo, S. Strickler, Robyn Roberts· bioRxiv· 0 citations
Viruses shape microbial metabolism through auxiliary viral genes (AVGs) that reprogram host metabolism, physiology, and gene regulation during infection. Identifying AVGs is complicated by ambiguous viral versus cellular assignment, inconsistent curation, and reliance on sequence homology that misses divergent function...
James C. Kosmopoulos, Cody Martin, J. Wainaina et al.· bioRxiv· 0 citations
The authors' bioinformatic analyses expand the repertoire of auxiliary metabolic genes in Phycodnaviridae by identifying a conserved heme degradation pathway, non-canonical vHMOX1/PcyA targeting and structural rearrangements surrounding the catalytic sites of viral HMOX1.
Steven Zehnacker, S. Caffarri, G. Blanc et al.· bioRxiv· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
