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Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection
Alternaria blotch disease of apple (Malus × domestica Borkh.), caused by the apple pathotype of Alternaria alternata, is one of the most serious fungal diseases to affect apples. To develop an understanding of how apples respond to A. alternata apple pathotype (AAAP) infection, we examined the host...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248534/ https://www.ncbi.nlm.nih.gov/pubmed/28163714 http://dx.doi.org/10.3389/fpls.2017.00022 |
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author | Zhu, Longming Ni, Weichen Liu, Shuai Cai, Binhua Xing, Han Wang, Sanhong |
author_facet | Zhu, Longming Ni, Weichen Liu, Shuai Cai, Binhua Xing, Han Wang, Sanhong |
author_sort | Zhu, Longming |
collection | PubMed |
description | Alternaria blotch disease of apple (Malus × domestica Borkh.), caused by the apple pathotype of Alternaria alternata, is one of the most serious fungal diseases to affect apples. To develop an understanding of how apples respond to A. alternata apple pathotype (AAAP) infection, we examined the host transcript accumulation over the period between 0 and 72 h post AAAP inoculation. Large-scale gene expression analysis was conducted of the compatible interaction between “Starking Delicious” apple cultivar and AAAP using RNA-Seq and digital gene expression (DGE) profiling methods. Our results show that a total of 9080 differentially expressed genes (DEGs) were detected (>two-fold and FDR < 0.001) by RNA-Seq. During the early phase of infection, 12 h post inoculation (HPI), AAAP exhibited limited fungal development and little change in the transcript accumulation status (950 DEGs). During the intermediate phase of infection, the period between 18 and 36 HPI, increased fungal development, active infection, and increased transcript accumulation were detected (4111 and 3838 DEGs detected at each time point, respectively). The majority of DEGs were detected by 72 HPI, suggesting that this is an important time point in the response of apples' AAAP infection. Subsequent gene ontology (GO) and pathway enrichment analyses showed that DEGs are predominately involved in biological processes and metabolic pathways; results showed that almost gene associated with photosynthesis, oxidation-reduction were down-regulated, while transcription factors (i.e., WRKY, MYB, NAC, and Hsf) and DEGs involved in cell wall modification, defense signaling, the synthesis of defense-related metabolites, including pathogenesis-related (PRs) genes and phenylpropanoid/cyanoamino acid /flavonoid biosynthesis, were activated during this process. Our study also suggested that the cell wall defensive vulnerability and the down-regulation of most PRs and HSP70s in “Starking Delicious” following AAAP infection might interpret its susceptible to AAAP. |
format | Online Article Text |
id | pubmed-5248534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52485342017-02-03 Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection Zhu, Longming Ni, Weichen Liu, Shuai Cai, Binhua Xing, Han Wang, Sanhong Front Plant Sci Plant Science Alternaria blotch disease of apple (Malus × domestica Borkh.), caused by the apple pathotype of Alternaria alternata, is one of the most serious fungal diseases to affect apples. To develop an understanding of how apples respond to A. alternata apple pathotype (AAAP) infection, we examined the host transcript accumulation over the period between 0 and 72 h post AAAP inoculation. Large-scale gene expression analysis was conducted of the compatible interaction between “Starking Delicious” apple cultivar and AAAP using RNA-Seq and digital gene expression (DGE) profiling methods. Our results show that a total of 9080 differentially expressed genes (DEGs) were detected (>two-fold and FDR < 0.001) by RNA-Seq. During the early phase of infection, 12 h post inoculation (HPI), AAAP exhibited limited fungal development and little change in the transcript accumulation status (950 DEGs). During the intermediate phase of infection, the period between 18 and 36 HPI, increased fungal development, active infection, and increased transcript accumulation were detected (4111 and 3838 DEGs detected at each time point, respectively). The majority of DEGs were detected by 72 HPI, suggesting that this is an important time point in the response of apples' AAAP infection. Subsequent gene ontology (GO) and pathway enrichment analyses showed that DEGs are predominately involved in biological processes and metabolic pathways; results showed that almost gene associated with photosynthesis, oxidation-reduction were down-regulated, while transcription factors (i.e., WRKY, MYB, NAC, and Hsf) and DEGs involved in cell wall modification, defense signaling, the synthesis of defense-related metabolites, including pathogenesis-related (PRs) genes and phenylpropanoid/cyanoamino acid /flavonoid biosynthesis, were activated during this process. Our study also suggested that the cell wall defensive vulnerability and the down-regulation of most PRs and HSP70s in “Starking Delicious” following AAAP infection might interpret its susceptible to AAAP. Frontiers Media S.A. 2017-01-20 /pmc/articles/PMC5248534/ /pubmed/28163714 http://dx.doi.org/10.3389/fpls.2017.00022 Text en Copyright © 2017 Zhu, Ni, Liu, Cai, Xing and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Zhu, Longming Ni, Weichen Liu, Shuai Cai, Binhua Xing, Han Wang, Sanhong Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection |
title | Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection |
title_full | Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection |
title_fullStr | Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection |
title_full_unstemmed | Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection |
title_short | Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection |
title_sort | transcriptomics analysis of apple leaves in response to alternaria alternata apple pathotype infection |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5248534/ https://www.ncbi.nlm.nih.gov/pubmed/28163714 http://dx.doi.org/10.3389/fpls.2017.00022 |
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