ArticleBMC genomics2018
Identification of proteins responding to pathogen-infection in the red alga Pyropia yezoensis using iTRAQ quantitative proteomics.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Therapeutic Potential ofMarine drugs · 2025Review
- A Proteomic Analysis for the Red SeaweedBiology · 2023Article
- Pathogen exposure leads to a transcriptional downregulation of core cellular functions that may dampen the immune response in a macroalga.Molecular ecology · 2022Article
- Enzymatic extraction improves intracellular protein recovery from the industrial carrageenan seaweedFood chemistry: X · 2021Article
- Health Functionality and Quality Control of Laver (Marine drugs · 2019Review
- Transcriptomic Insights into Innate Immunity Responding to Red Rot Disease in Red AlgaInternational journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundPyropia 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.
resultsA 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.
conclusionsThe 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.
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