A synthetic platform for multiplex screening of cell-cell communication between soil fungi DOI Creative Commons
Giovanni Schiesaro, Mathias Jönsson, Ricardo Tenente

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 30, 2024

Fungi are essential members across ecosystems yet also pose significant risks to crops and human health. To thrive in microbial consortia, a fungal organism must integrate the perception of both inter- intra-species signals. Here we present Yeast Mating Platform (YeMaP) decipher cell-cell communication based on G protein-coupled receptors (GPCRs) pheromone peptides. We use YeMaP investigate influence abiotic factors multiplex for high-throughput screening sequences identify peptides with improved potency or antagonism action. Additionally, demonstrate that plant pathogen Fusarium oxysporum GPCR-pheromone interaction is robust conditions, it can be disrupted by supplementation promote non-pathogenic GPCRs consortia. Taken together, useful tool deciphering complexity GPCR-based guiding design future crop pest- disease-management programs.

Language: Английский

Nitrogen source orchestrates pH modulation and secondary metabolism in Trichoderma harzianum DOI Creative Commons
Stefania Vitale, Francisco M. Salzano, Alessia Staropoli

et al.

Chemical and Biological Technologies in Agriculture, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 4, 2025

Language: Английский

Citations

2
Plant Growth-Promoting Microorganisms: new insights and the way forward DOI
Parissa Taheri, Gerardo Puopolo, Gustavo Santoyo

et al.

Microbiological Research, Journal Year: 2025, Volume and Issue: unknown, P. 128168 - 128168

Published: April 1, 2025

Language: Английский

Citations

1
Prediction of secreted uncharacterized protein structures from Beauveria bassiana ARSEF 2860 unravels novel toxins-like families DOI Creative Commons
Peter F. Farag,

A. Elsisi,

Esraa W. Elabd

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 22, 2025

Abstract Insecticides are toxic substances used to control a wide variety of agricultural insect pests. Most these chemicals in nature, and their increasing residues soil, water, fruits contribute environmental pollution, chronic human illnesses, the emergence insecticide resistance phenomenon. In context green environment, bioinsecticide metabolites, including proteins, safe alternative that mostly has selective toxicity insects. Thus, this study aimed predict identify new toxin-like families through uncharacterized secreted proteins from one most potent entomopathogenic fungi, Beauveria bassiana ARSEF 2860, which was selected as model. work, total 2483 amino acid sequences (Ups) were retrieved RefSeq database. Among these, 365 UPs identified using SignalP web server. We implemented integration well-designed bioinformatic tools characterize anticipate homologous similarities at sequence (InterPro) structural (AlphaFold2) levels. The function annotation predicted DeepFRI. With 269 successfully folds, we putative with pathogenesis functions related toxins like Janus-faced atracotoxins (insecticidal spider toxin), Cry (commercial Bacillus thuringiensis ), ARTs-like toxins, other insecticidal toxins. Furthermore, some not any known experimental data functionally cation metal ion binding (Zn, Na, Co) potential toxicity. Collectively, computational genomics can be host–pathogen interactions novel families.

Language: Английский

Citations

0
A synthetic platform for multiplex screening of cell-cell communication between soil fungi DOI Creative Commons
Giovanni Schiesaro, Mathias Jönsson, Ricardo Tenente

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 30, 2024

Fungi are essential members across ecosystems yet also pose significant risks to crops and human health. To thrive in microbial consortia, a fungal organism must integrate the perception of both inter- intra-species signals. Here we present Yeast Mating Platform (YeMaP) decipher cell-cell communication based on G protein-coupled receptors (GPCRs) pheromone peptides. We use YeMaP investigate influence abiotic factors multiplex for high-throughput screening sequences identify peptides with improved potency or antagonism action. Additionally, demonstrate that plant pathogen Fusarium oxysporum GPCR-pheromone interaction is robust conditions, it can be disrupted by supplementation promote non-pathogenic GPCRs consortia. Taken together, useful tool deciphering complexity GPCR-based guiding design future crop pest- disease-management programs.

Language: Английский

Citations

0