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Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem

Vascular wilt, caused by the pathogen Fusarium oxysporum f. sp. physali (Foph), is a major disease of cape gooseberry (Physalis peruviana L.) in Andean countries. Despite the economic losses caused by this disease, there are few studies related to molecular mechanisms in the P. peruviana—Foph pathos...

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Autores principales: Garzón-Martínez, Gina A., García-Arias, Francy L., Enciso-Rodríguez, Felix E., Soto-Suárez, Mauricio, González, Carolina, Bombarely, Aureliano, Barrero, Luz Stella, Osorio Guarín, Jaime A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993016/
https://www.ncbi.nlm.nih.gov/pubmed/33828924
http://dx.doi.org/10.7717/peerj.11135
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author Garzón-Martínez, Gina A.
García-Arias, Francy L.
Enciso-Rodríguez, Felix E.
Soto-Suárez, Mauricio
González, Carolina
Bombarely, Aureliano
Barrero, Luz Stella
Osorio Guarín, Jaime A.
author_facet Garzón-Martínez, Gina A.
García-Arias, Francy L.
Enciso-Rodríguez, Felix E.
Soto-Suárez, Mauricio
González, Carolina
Bombarely, Aureliano
Barrero, Luz Stella
Osorio Guarín, Jaime A.
author_sort Garzón-Martínez, Gina A.
collection PubMed
description Vascular wilt, caused by the pathogen Fusarium oxysporum f. sp. physali (Foph), is a major disease of cape gooseberry (Physalis peruviana L.) in Andean countries. Despite the economic losses caused by this disease, there are few studies related to molecular mechanisms in the P. peruviana—Foph pathosystem as a useful tool for crop improvement. This study evaluates eight candidate genes associated with this pathosystem, using real-time quantitative PCR (RT-qPCR). The genes were identified and selected from 1,653 differentially expressed genes (DEGs) derived from RNA-Seq analysis and from a previous genome-wide association study (GWAS) of this plant-pathogen interaction. Based on the RT-qPCR analysis, the tubuline (TUB) reference gene was selected for its highly stable expression in cape gooseberry. The RT-qPCR validation of the candidate genes revealed the biological variation in their expression according to their known biological function. Three genes related to the first line of resistance/defense responses were highly expressed earlier during infection in a susceptible genotype, while three others were overexpressed later, mostly in the tolerant genotype. These genes are mainly involved in signaling pathways after pathogen recognition, mediated by hormones such as ethylene and salicylic acid. This study provided the first insight to uncover the molecular mechanism from the P. peruviana—Foph pathosystem. The genes validated here have important implications in the disease progress and allow a better understanding of the defense response in cape gooseberry at the molecular level. Derived molecular markers from these genes could facilitate the identification of tolerant/susceptible genotypes for use in breeding schemes.
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spelling pubmed-79930162021-04-06 Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem Garzón-Martínez, Gina A. García-Arias, Francy L. Enciso-Rodríguez, Felix E. Soto-Suárez, Mauricio González, Carolina Bombarely, Aureliano Barrero, Luz Stella Osorio Guarín, Jaime A. PeerJ Agricultural Science Vascular wilt, caused by the pathogen Fusarium oxysporum f. sp. physali (Foph), is a major disease of cape gooseberry (Physalis peruviana L.) in Andean countries. Despite the economic losses caused by this disease, there are few studies related to molecular mechanisms in the P. peruviana—Foph pathosystem as a useful tool for crop improvement. This study evaluates eight candidate genes associated with this pathosystem, using real-time quantitative PCR (RT-qPCR). The genes were identified and selected from 1,653 differentially expressed genes (DEGs) derived from RNA-Seq analysis and from a previous genome-wide association study (GWAS) of this plant-pathogen interaction. Based on the RT-qPCR analysis, the tubuline (TUB) reference gene was selected for its highly stable expression in cape gooseberry. The RT-qPCR validation of the candidate genes revealed the biological variation in their expression according to their known biological function. Three genes related to the first line of resistance/defense responses were highly expressed earlier during infection in a susceptible genotype, while three others were overexpressed later, mostly in the tolerant genotype. These genes are mainly involved in signaling pathways after pathogen recognition, mediated by hormones such as ethylene and salicylic acid. This study provided the first insight to uncover the molecular mechanism from the P. peruviana—Foph pathosystem. The genes validated here have important implications in the disease progress and allow a better understanding of the defense response in cape gooseberry at the molecular level. Derived molecular markers from these genes could facilitate the identification of tolerant/susceptible genotypes for use in breeding schemes. PeerJ Inc. 2021-03-22 /pmc/articles/PMC7993016/ /pubmed/33828924 http://dx.doi.org/10.7717/peerj.11135 Text en © 2021 Garzón-Martínez et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Garzón-Martínez, Gina A.
García-Arias, Francy L.
Enciso-Rodríguez, Felix E.
Soto-Suárez, Mauricio
González, Carolina
Bombarely, Aureliano
Barrero, Luz Stella
Osorio Guarín, Jaime A.
Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem
title Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem
title_full Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem
title_fullStr Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem
title_full_unstemmed Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem
title_short Combining transcriptome analysis and GWAS for identification and validation of marker genes in the Physalis peruviana-Fusarium oxysporum pathosystem
title_sort combining transcriptome analysis and gwas for identification and validation of marker genes in the physalis peruviana-fusarium oxysporum pathosystem
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993016/
https://www.ncbi.nlm.nih.gov/pubmed/33828924
http://dx.doi.org/10.7717/peerj.11135
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