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Published on: September 28, 2021
Pseudocercospora fijiensis Conidial Germination Is Dominated by Pathogenicity Factors and Effectors
Karla Gisel Carreón-Anguiano1, Rufino Gómez-Tah1, Efren Pech-Balan1
1Unidad de Biotecnología, Centro de Investigación Científica de Yucatán, A.C., Calle 43 No. 130 x 32 y 34, Colonia Chuburná de Hidalgo, Mérida C.P. 97205, Yucatán, Mexico.
Abstract:
Conidia play a vital role in the survival and rapid spread of fungi. Many biological processes of conidia, such as adhesion, signal transduction, the regulation of oxidative stress, and autophagy, have been well studied. In contrast, the contribution of pathogenicity factors during the development of conidia in fungal phytopathogens has been poorly investigated. To date, few reports have centered on the pathogenicity functions of fungal phytopathogen conidia. Pseudocercospora fijiensis is a hemibiotrophic fungus and the causal agent of the black Sigatoka disease in bananas and plantains. Here, a conidial transcriptome of P. fijiensis was characterized computationally. Carbohydrates, amino acids, and lipid metabolisms presented the highest number of annotations in Gene Ontology. Common conidial functions were found, but interestingly, pathogenicity factors and effectors were also identified. Upon analysis of the resulting proteins against the Pathogen-Host Interaction (PHI) database, 754 hits were identified. WideEffHunter and EffHunter effector predictors identified 618 effectors, 265 of them were shared with the PHI database. A total of 1107 conidial functions devoted to pathogenesis were found after our analysis. Regarding the conidial effectorome, it was found to comprise 40 canonical and 578 non-canonical effectors. Effectorome characterization revealed that RXLR, LysM, and Y/F/WxC are the largest effector families in the P. fijiensis conidial effectorome. Gene Ontology classification suggests that they are involved in many biological processes and metabolisms, expanding our current knowledge of fungal effectors.
Insights
Fungal phytopathogen conidia possess pathogenicity factors and effectors, crucial for disease development. This study computationally characterized Pseudocercospora fijiensis conidia, revealing novel insights into effector functions.
Area of Science:
- Plant Pathology
- Mycology
- Molecular Biology
Background:
- Conidia are vital for fungal survival and spread, with known roles in adhesion and stress response.
- Pathogenicity factors in fungal phytopathogen conidia development are understudied.
- Pseudocercospora fijiensis causes black Sigatoka disease in bananas and plantains.
Purpose of the Study:
- To computationally characterize the conidial transcriptome of Pseudocercospora fijiensis.
- To identify and analyze pathogenicity factors and effectors within P. fijiensis conidia.
- To expand knowledge on fungal effector functions in phytopathogens.
Main Methods:
- Computational analysis of the P. fijiensis conidial transcriptome.
- Gene Ontology annotation for metabolic and functional classification.
- Utilized Pathogen-Host Interaction (PHI) database and effector prediction tools (WideEffHunter, EffHunter).
Main Results:
- Carbohydrate, amino acid, and lipid metabolism were highly annotated.
- Identified 754 pathogenicity-related proteins against the PHI database.
- Discovered 618 effectors, including 40 canonical and 578 non-canonical, with RXLR, LysM, and Y/F/WxC as major families.
Conclusions:
- P. fijiensis conidia contain significant pathogenicity factors and effectors.
- The identified effectorome expands understanding of fungal pathogenesis.
- Findings contribute to knowledge of fungal effector biology and host interaction.
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