Dataset Information

Transcriptome analysis of the broad-host range pathogen Pythium myriotylum during infection of ginger (Zingiberis officinale) leaves.

ABSTRACT: Oomycetes, such as the broad host-range necrotrophic plant pathogen Pythium myriotylum, cause devastating crop losses. We have previously identified P. myriotylum as the major pathogen infecting ginger (Zingiber officinale) rhizomes in China with symptoms of Pythium soft rot (PSR) disease. Ginger is an important crop with global production estimated at approximately three million metric tonnes with about 20% of this production in China. To better understand how P. myriotylum infects ginger, transcriptomic analysis was performed on two P. myriotylum isolates (SWQ7 and SL2) infecting ginger leaves. From both of the isolates, there was a clear separation between the transcriptome replicates from the mycelial control condition and those from the infection of the ginger leaf. In SWQ7 and SL2, there were 2,110 and 2,513 genes upregulated during infection of ginger, respectively. Of the putative effectors, a subset of the NEP1-like toxin protein (NLP) effectors were highly induced during the infection of ginger leaves. Insights from the transcriptome highlight the important role of a subset of plant cell wall degrading enzymes (PCWDEs) and effectors in the pathogenicity of P. myriotylum towards ginger. The surprisingly large numbers of P. myriotylum PCWDEs and effectors within the genome may be due to the broad host-range of P. myriotylum whereby particular subsets of the PCWDEs and effectors are required for pathogenicity towards particular hosts.

ORGANISM(S): Pythium myriotylum

PROVIDER: GSE174557 | GEO | 2022/07/22

REPOSITORIES: GEO

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Project 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

Dataset Information

Transcriptome analysis of the broad-host range pathogen Pythium myriotylum during infection of ginger (Zingiberis officinale) leaves.

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