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Article

Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species

1
Comparative Genomics Group Barcelona Supercomputing Centre (BSC-CNS), Institute for Research in Biomedicine (IRB), Jordi Girona, 29, 08034 Barcelona, Spain
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Department of Plant Protection, INIA, Ctra. de La Coruña Km. 7, 28040 Madrid, Spain
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Postharvest Programme, Edifici Fruitcentre, Parc Científic i Tecnològic Agroalimentari de Lleida, IRTA, Parc de Gardeny, 25003 Lleida, Spain
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Laboratory of Phytopathology, Wageningen University, Droevendaalsesteeg 1, 6708PB Wageningen, The Netherlands
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Catalan Institution for Research and Advanced Studies (ICREA), 08010 Barcelona, Spain
*
Authors to whom correspondence should be addressed.
Academic Editor: Willem Melchers
J. Fungi 2021, 7(6), 464; https://doi.org/10.3390/jof7060464
Received: 9 April 2021 / Revised: 31 May 2021 / Accepted: 1 June 2021 / Published: 8 June 2021
Brown rot, caused by Monilinia spp., is among the most important diseases in stone fruits, and some pome fruits (mainly apples). This disease is responsible for significant yield losses, particularly in stone fruits, when weather conditions favorable for disease development appear. To achieve future sustainable strategies to control brown rot on fruit, one potential approach will be to characterize genomic variation among Monilinia spp. to define, among others, the capacity to infect fruit in this genus. In the present work, we performed genomic and phylogenomic comparisons of five Monilinia species and inferred differences in numbers of secreted proteins, including CAZy proteins and other proteins important for virulence. Duplications specific to Monilinia were sparse and, overall, more genes have been lost than gained. Among Monilinia spp., low variability in the CAZome was observed. Interestingly, we identified several secondary metabolism clusters based on similarity to known clusters, and among them was a cluster with homology to pyriculol that could be responsible for the synthesis of chloromonilicin. Furthermore, we compared sequences of all strains available from NCBI of these species to assess their MAT loci and heterokaryon compatibility systems. Our comparative analyses provide the basis for future studies into understanding how these genomic differences underlie common or differential abilities to interact with the host plant. View Full-Text
Keywords: brown rot; secreted proteins; CAZome; secondary metabolism; sexual reproduction brown rot; secreted proteins; CAZome; secondary metabolism; sexual reproduction
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MDPI and ACS Style

Marcet-Houben, M.; Villarino, M.; Vilanova, L.; De Cal, A.; van Kan, J.A.L.; Usall, J.; Gabaldón, T.; Torres, R. Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species. J. Fungi 2021, 7, 464. https://doi.org/10.3390/jof7060464

AMA Style

Marcet-Houben M, Villarino M, Vilanova L, De Cal A, van Kan JAL, Usall J, Gabaldón T, Torres R. Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species. Journal of Fungi. 2021; 7(6):464. https://doi.org/10.3390/jof7060464

Chicago/Turabian Style

Marcet-Houben, Marina, Maria Villarino, Laura Vilanova, Antonieta De Cal, Jan A. L. van Kan, Josep Usall, Toni Gabaldón, and Rosario Torres. 2021. "Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species" Journal of Fungi 7, no. 6: 464. https://doi.org/10.3390/jof7060464

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