Dataset Information

Identification of protein response to infection in Pyropia yezoensis

ABSTRACT: 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

INSTRUMENT(S): Q Exactive

ORGANISM(S): Pyropia Yezoensis

TISSUE(S): Plant Cell, Leaf

SUBMITTER: Sohrab Khan

LAB HEAD: Dongmei Wang

PROVIDER: PXD009363 | Pride | 2018-12-03

REPOSITORIES: Pride

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

Khan Sohrab S Mao Yunxiang Y Gao Dong D Riaz Sadaf S Niaz Zeeshan Z Tang Lei L Khan Sohaib S Wang Dongmei D

BMC genomics 20181127 1

<h4>Background</h4>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 ...[more]

PMID: 30482156

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Project description:Root samples of ‘Sanhu’ red tangerine trees infected with and without Candidatus Liberibacter asiaticus (CLas) were collected at 50 days post inoculation and subjected to RNA-sequencingto profile the differentially expressed genes (DEGs) . Results showed that a total of 3956 genes were differentially regulated by HLB-infection. Comparison between our results and those of the previously reported showed that known HLB-modulated biological pathways including cell-wall modification, protease-involved protein degradation, carbohydrate metabolism, hormone synthesis and signaling, transcription activities, and stress responses were similarly regulated by HLB infection but different or root-specific changes did exist. The root unique changes included the down-regulation in genes of ubiquitin-dependent protein degradation pathway, secondary metabolisms, cytochrome P450, UDP-glucosyl transferase and pentatricopeptide repeat containing protein genes. Notably, nutrient absorption was impaired by HLB-infection as the expression of the genes involved in Fe, Zn, N and P adsorption and transportation were significantly changed. HLB-infection induced some cellular defense responses but simultaneously reduced the biosynthesis of the three major classes of secondary metabolites, many of which are known to have anti-pathogen activities. Genes involved in callose deposition were up-regulated whereas those involved in callose degradation were also up-regulated, indicating that the sieve tube elements in roots were hanging on the balance of life and death at this stage. In addition, signs of carbohydrate starvation were already eminent in roots at this stage. Other interesting genes and pathways that were changed by HLB-infection were also discussed based on our findings. Two-year-old seedlings of ‘Sanhu’ red tangerine were grafted with buds from CLas-infected or CLas-free ‘Gonggan’ mandarin trees. Mature leaves and roots were collected from the CLas-inoculated and the control trees every ten days to detect for CLas by PCR. DNA used for PCR was extracted with the use of the Plant DNA isolation Kit (Trans, Beijing, China) according to manufacturer’s instructions. Primers used for CLas detection were the same A2/J5. The fibrous roots of 3 CLas-positive and 3 control CLas-free trees were individually collected at 50 dpi (days post inoculation) when the HLB-inoculated trees became CLas-positive in both leaves and roots yet showed no visible chlorosis and other HLB symptoms. This should have allowed us not to miss too many early responsive genes but at the same time ensured that the trees were infected as expected. Total RNA was extracted from each sample using RNeasy plant mini kit (Qiagen, Valencia, CA) and further purified using the RQ1 Rnase Free Dnase Kit (Promega, Madison, USA). RNA quality and quantity were assessed by gel-electrophoresis and by absorbance at OD260/OD280, respectively. Aliquot RNA samples were stored at -80 ?. For RNA-seq analysis, RNA samples from the three trees were mixed in equal amount and used for cDNA library construction following the Illumina mRNA-sequencing sample preparation protocol (Illumina, San Diego, CA). The 90-bp raw paired end reads were generated by Illumina HiSeqTM 2000. Please note that the features (in the processed data, e.g.,clementine0.9_035093m.g) represent the gene IDs in the Citrus clementina genome at ftp://ftp.jgi-psf.org/pub/JGI_data/phytozome/v9.0/Cclementina/. However, the database has been updated (http://genome.jgi.doe.gov/pages/dynamicOrganismDownload.jsf?organism=PhytozomeV10) with new gene IDs, thus the gene IDs used for this study are not trackable anymore. Therefore, the gene annotation files downloadeded from the previous genome database (v0.9) and used for the data analysis are included in this record.

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