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Quantitative Proteomic Analysis of Four Developmental Stages of Saprolegnia parasitica

Overview of attention for article published in Frontiers in Microbiology, January 2018
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Title
Quantitative Proteomic Analysis of Four Developmental Stages of Saprolegnia parasitica
Published in
Frontiers in Microbiology, January 2018
DOI 10.3389/fmicb.2017.02658
Pubmed ID
Authors

Vaibhav Srivastava, Svetlana Rezinciuc, Vincent Bulone

Abstract

Several water mold species from the Saprolegnia genus infect fish, amphibians, and crustaceans in natural ecosystems and aquaculture farms. Saprolegnia parasitica is one of the most severe fish pathogens. It is responsible for millions of dollars of losses to the aquaculture industry worldwide. Here, we have performed a proteomic analysis, using gel-based and solution (iTRAQ) approaches, of four defined developmental stages of S. parasitica grown in vitro, i.e., the mycelium, primary cysts, secondary cysts and germinated cysts, to gain greater insight into the types of proteins linked to the different stages. A relatively high number of kinases as well as virulence proteins, including the ricin B lectin, disintegrins, and proteases were identified in the S. parasitica proteome. Many proteins associated with various biological processes were significantly enriched in different life cycle stages of S. parasitica. Compared to the mycelium, most of the proteins in the different cyst stages showed similar enrichment patterns and were mainly related to energy metabolism, signal transduction, protein synthesis, and post-translational modifications. The proteins most enriched in the mycelium compared to the cyst stages were associated with amino acid metabolism, carbohydrate metabolism, and mitochondrial energy production. The data presented expand our knowledge of metabolic pathways specifically linked to each developmental stage of this pathogen.

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The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Researcher 6 13%
Student > Bachelor 5 11%
Other 4 9%
Student > Master 4 9%
Other 7 15%
Unknown 14 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 30%
Chemistry 3 7%
Environmental Science 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Computer Science 2 4%
Other 6 13%
Unknown 15 33%