PXD009363

PXD009363 is an original dataset announced via ProteomeXchange.

Title	Identification of protein response to infection in Pyropia yezoensis
Description	P. yezoensis is an economically important marine crop and highly used seafood in China containing a high number of proteiP. yezoensis is an economically important marine crop and highly used seafood in China containing a high number of proteins. An oomycete, known as Pythium porphyrae, causes the red rot disease that seriously damages Pyropia farms every year in China, Korea, and Japan. To investigate the pathogen responsive proteins after the artificial infection of Pyropia with (P. porphyrae) oomycetes spores, an iTRAQ-based proteomic analysis was performed. A total of 762 differentially expressed proteins (DEP’s) were identified from which 378 proteins were highly expressed and 284 proteins were found to be low expressed. A large number of differentially expressed proteins were identified, which are involved in disease stress, carbohydrate metabolism, photosynthetic activity, and amino acid pathways as annotated in the Kyoto Encyclopedia of Genes and Genomes KEGG database. Our results showed that Pyropia resisted infection by inhibiting photosynthesis, energy and carbohydrate metabolism pathways, as supported by the change in the expression level of related proteins. Thus, the current research data provide an overall summary of the red algae response to pathogen infection. The present study could assist in a better understanding of the mechanisms behind infection resistance in P. yezoensis as well as improve the breeding of Pythium infection tolerant macroalgaens. An oomycete, known as Pythium porphyrae, causes the red rot disease that seriously damages Pyropia farms every year in China, Korea, and Japan. To investigate the pathogen responsive proteins after the artificial infection of Pyropia with (P. porphyrae) oomycetes spores, an iTRAQ-based proteomic analysis was performed. A total of 762 differentially expressed proteins (DEP’s) were identified from which 378 proteins were highly expressed and 284 proteins were found to be low expressed. A large number of differentially expressed proteins were identified, which are involved in disease stress, carbohydrate metabolism, photosynthetic activity, and amino acid pathways as annotated in the Kyoto Encyclopedia of Genes and Genomes KEGG database. Our results showed that Pyropia resisted infection by inhibiting photosynthesis, energy and carbohydrate metabolism pathways, as supported by the change in the expression level of related proteins. Thus, the current research data provide an overall summary of the red algae response to pathogen infection. The present study could assist in a better understanding of the mechanisms behind infection resistance in P. yezoensis as well as improve the breeding of Pythium infection tolerant macroalgae
HostingRepository	PRIDE
AnnounceDate	2018-12-03
AnnouncementXML	Submission_2018-12-03_07:58:30.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Sohrab Khan
SpeciesList	scientific name: Pyropia yezoensis; NCBI TaxID: 2788;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2018-03-29 01:52:28	ID requested
⏵ 1	2018-12-03 07:58:31	announced

Khan S, Mao Y, Gao D, Riaz S, Niaz Z, Tang L, Khan S, Wang D, Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics. BMC Genomics, 19(1):842(2018) [pubmed]

curator keyword: Biological

submitter keyword: Pyropia yezoensis, Pythium porphyrae, quantitative proteomics, iTRAQ

Dongmei Wang
contact affiliation	Ocean University of China
contact email	wangdm@ouc.edu.cn
lab head
Sohrab Khan
contact affiliation	Ocean University of China
contact email	khanhr39@yahoo.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD009363
     1. Label: PRIDE project
     2. Name: Identification of protein response to infection in Pyropia yezoensis