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Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics

BACKGROUND: Pyropia yezoensis is an important marine crop which, due to its high protein content, is widely used as a seafood in China. Unfortunately, red rot disease, caused by Pythium porphyrae, seriously damages P. yezoensis farms every year in China, Japan, and Korea. Proteomic methods are often...

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Autores principales: Khan, Sohrab, Mao, Yunxiang, Gao, Dong, Riaz, Sadaf, Niaz, Zeeshan, Tang, Lei, Khan, Sohaib, Wang, Dongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260746/
https://www.ncbi.nlm.nih.gov/pubmed/30482156
http://dx.doi.org/10.1186/s12864-018-5229-1
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author Khan, Sohrab
Mao, Yunxiang
Gao, Dong
Riaz, Sadaf
Niaz, Zeeshan
Tang, Lei
Khan, Sohaib
Wang, Dongmei
author_facet Khan, Sohrab
Mao, Yunxiang
Gao, Dong
Riaz, Sadaf
Niaz, Zeeshan
Tang, Lei
Khan, Sohaib
Wang, Dongmei
author_sort Khan, Sohrab
collection PubMed
description BACKGROUND: Pyropia yezoensis is an important marine crop which, due to its high protein content, is widely used as a seafood in China. Unfortunately, red rot disease, caused by Pythium porphyrae, seriously damages P. yezoensis farms every year in China, Japan, and Korea. Proteomic methods are often used to study the interactions between hosts and pathogens. Therefore, an iTRAQ-based proteomic analysis was used to identify pathogen-responsive proteins following the artificial infection of P. yezoensis with P. porphyrae spores. RESULTS: A total of 762 differentially expressed proteins were identified, of which 378 were up-regulated and 384 were down-regulated following infection. A large amount of these proteins were involved in disease stress, carbohydrate metabolism, cell signaling, chaperone activity, photosynthesis, and energy metabolism, as annotated in the KEGG database. Overall, the data showed that P. yezoensis resists infection by inhibiting photosynthesis, and energy and carbohydrate metabolism pathways, as supported by changes in the expression levels of related proteins. The expression data are available via ProteomeXchange with the identifier PXD009363. CONCLUSIONS: The current data provide an overall summary of the red algae responses to pathogen infection. This study improves our understanding of infection resistance in P. yezoensis, and may help in increasing the breeding of P. porphyrae-infection tolerant macroalgae. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5229-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-62607462018-12-10 Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics Khan, Sohrab Mao, Yunxiang Gao, Dong Riaz, Sadaf Niaz, Zeeshan Tang, Lei Khan, Sohaib Wang, Dongmei BMC Genomics Research Article BACKGROUND: Pyropia yezoensis is an important marine crop which, due to its high protein content, is widely used as a seafood in China. Unfortunately, red rot disease, caused by Pythium porphyrae, seriously damages P. yezoensis farms every year in China, Japan, and Korea. Proteomic methods are often used to study the interactions between hosts and pathogens. Therefore, an iTRAQ-based proteomic analysis was used to identify pathogen-responsive proteins following the artificial infection of P. yezoensis with P. porphyrae spores. RESULTS: A total of 762 differentially expressed proteins were identified, of which 378 were up-regulated and 384 were down-regulated following infection. A large amount of these proteins were involved in disease stress, carbohydrate metabolism, cell signaling, chaperone activity, photosynthesis, and energy metabolism, as annotated in the KEGG database. Overall, the data showed that P. yezoensis resists infection by inhibiting photosynthesis, and energy and carbohydrate metabolism pathways, as supported by changes in the expression levels of related proteins. The expression data are available via ProteomeXchange with the identifier PXD009363. CONCLUSIONS: The current data provide an overall summary of the red algae responses to pathogen infection. This study improves our understanding of infection resistance in P. yezoensis, and may help in increasing the breeding of P. porphyrae-infection tolerant macroalgae. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5229-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-27 /pmc/articles/PMC6260746/ /pubmed/30482156 http://dx.doi.org/10.1186/s12864-018-5229-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Khan, Sohrab
Mao, Yunxiang
Gao, Dong
Riaz, Sadaf
Niaz, Zeeshan
Tang, Lei
Khan, Sohaib
Wang, Dongmei
Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics
title Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics
title_full Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics
title_fullStr Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics
title_full_unstemmed Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics
title_short Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics
title_sort identification of proteins responding to pathogen-infection in the red alga pyropia yezoensis using itraq quantitative proteomics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260746/
https://www.ncbi.nlm.nih.gov/pubmed/30482156
http://dx.doi.org/10.1186/s12864-018-5229-1
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