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

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...

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Autores principales: Marcet-Houben, Marina, Villarino, Maria, Vilanova, Laura, De Cal, Antonieta, van Kan, Jan A. L., Usall, Josep, Gabaldón, Toni, Torres, Rosario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228255/
https://www.ncbi.nlm.nih.gov/pubmed/34201288
http://dx.doi.org/10.3390/jof7060464
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author Marcet-Houben, Marina
Villarino, Maria
Vilanova, Laura
De Cal, Antonieta
van Kan, Jan A. L.
Usall, Josep
Gabaldón, Toni
Torres, Rosario
author_facet Marcet-Houben, Marina
Villarino, Maria
Vilanova, Laura
De Cal, Antonieta
van Kan, Jan A. L.
Usall, Josep
Gabaldón, Toni
Torres, Rosario
author_sort Marcet-Houben, Marina
collection PubMed
description 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.
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spelling pubmed-82282552021-06-26 Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species Marcet-Houben, Marina Villarino, Maria Vilanova, Laura De Cal, Antonieta van Kan, Jan A. L. Usall, Josep Gabaldón, Toni Torres, Rosario J Fungi (Basel) Article 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. MDPI 2021-06-08 /pmc/articles/PMC8228255/ /pubmed/34201288 http://dx.doi.org/10.3390/jof7060464 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marcet-Houben, Marina
Villarino, Maria
Vilanova, Laura
De Cal, Antonieta
van Kan, Jan A. L.
Usall, Josep
Gabaldón, Toni
Torres, Rosario
Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species
title Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species
title_full Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species
title_fullStr Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species
title_full_unstemmed Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species
title_short Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species
title_sort comparative genomics used to predict virulence factors and metabolic genes among monilinia species
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228255/
https://www.ncbi.nlm.nih.gov/pubmed/34201288
http://dx.doi.org/10.3390/jof7060464
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