Unveiling the Arsenal of Apple Bitter Rot Fungi: Comparative Genomics Identifies Candidate Effectors, CAZymes, and Biosynthetic Gene Clusters in Colletotrichum Species
| dc.contributor.author | Khodadadi, Fatemeh | en |
| dc.contributor.author | Luciano-Rosario, Dianiris | en |
| dc.contributor.author | Gottschalk, Christopher | en |
| dc.contributor.author | Jurick, Wayne M. | en |
| dc.contributor.author | Aćimović, Srđan G. | en |
| dc.date.accessioned | 2024-07-29T13:25:58Z | en |
| dc.date.available | 2024-07-29T13:25:58Z | en |
| dc.date.issued | 2024-07-16 | en |
| dc.date.updated | 2024-07-26T12:29:05Z | en |
| dc.description.abstract | The bitter rot of apple is caused by <i>Colletotrichum</i> spp. and is a serious pre-harvest disease that can manifest in postharvest losses on harvested fruit. In this study, we obtained genome sequences from four different species, <i>C</i>. <i>chrysophilum</i>, <i>C. noveboracense</i>, <i>C. nupharicola</i>, and <i>C. fioriniae</i>, that infect apple and cause diseases on other fruits, vegetables, and flowers. Our genomic data were obtained from isolates/species that have not yet been sequenced and represent geographic-specific regions. Genome sequencing allowed for the construction of phylogenetic trees, which corroborated the overall concordance observed in prior MLST studies. Bioinformatic pipelines were used to discover CAZyme, effector, and secondary metabolic (SM) gene clusters in all nine <i>Colletotrichum</i> isolates. We found redundancy and a high level of similarity across species regarding CAZyme classes and predicted cytoplastic and apoplastic effectors. SM gene clusters displayed the most diversity in type and the most common cluster was one that encodes genes involved in the production of alternapyrone. Our study provides a solid platform to identify targets for functional studies that underpin pathogenicity, virulence, and/or quiescence that can be targeted for the development of new control strategies. With these new genomics resources, exploration via omics-based technologies using these isolates will help ascertain the biological underpinnings of their widespread success and observed geographic dominance in specific areas throughout the country. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Khodadadi, F.; Luciano-Rosario, D.; Gottschalk, C.; Jurick, W.M., II; Aćimović, S.G. Unveiling the Arsenal of Apple Bitter Rot Fungi: Comparative Genomics Identifies Candidate Effectors, CAZymes, and Biosynthetic Gene Clusters in Colletotrichum Species. J. Fungi 2024, 10, 493. | en |
| dc.identifier.doi | https://doi.org/10.3390/jof10070493 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/120732 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | secondary metabolites | en |
| dc.subject | CAZymes | en |
| dc.subject | Colletotrichum spp. | en |
| dc.subject | bitter rot | en |
| dc.subject | apple | en |
| dc.subject | effectors | en |
| dc.title | Unveiling the Arsenal of Apple Bitter Rot Fungi: Comparative Genomics Identifies Candidate Effectors, CAZymes, and Biosynthetic Gene Clusters in Colletotrichum Species | en |
| dc.title.serial | Journal of Fungi | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |