ArticleMolecular plant pathology2018
Genome-wide characterization of Phytophthora infestans metabolism: a systems biology approach.
Article in Molecular plant pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- New insights in metabolism modelling to decipher plant-microbe interactions.The New phytologist · 2025Review
- In silico encounters: harnessing metabolic modelling to understand plant-microbe interactions.FEMS microbiology reviews · 2025Review
- Phytophthora sojae boosts host trehalose accumulation to acquire carbon and initiate infection.Nature microbiology · 2023Article
- Molecular sensors reveal the mechano-chemical response ofCell surface (Amsterdam, Netherlands) · 2022Article
- Review
- Unravelling Plant Responses to Stress-The Importance of Targeted and Untargeted Metabolomics.Metabolites · 2021Review
- Review
- Environment-coupled models of leaf metabolism.Biochemical Society transactions · 2021Review
- Uncovering the Role of Metabolism in Oomycete-Host Interactions Using Genome-Scale Metabolic Models.Frontiers in microbiology · 2021Review
- Use of Dual RNA-seq for Systems Biology Analysis ofFrontiers in microbiology · 2020Article
- Metabolic Model of themBio · 2019Article
- Niche-specific metabolic adaptation in biotrophic and necrotrophic oomycetes is manifested in differential use of nutrients, variation in gene content, and enzyme evolution.PLoS pathogens · 2019Article
- Exchanges at the Plant-Oomycete Interface That Influence Disease.Plant physiology · 2019Review
- Intercellular cooperation in a fungal plant pathogen facilitates host colonization.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Article
- A Genome-Scale Metabolic Reconstruction ofFrontiers in genetics · 2018Article
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Authors and funding
4 authors.
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Abstract
Genome-scale metabolic models (GEMs) provide a functional view of the complex network of biochemical reactions in the living cell. Initially mainly applied to reconstruct the metabolism of model organisms, the availability of increasingly sophisticated reconstruction methods and more extensive biochemical databases now make it possible to reconstruct GEMs for less well-characterized organisms, and have the potential to unravel the metabolism in pathogen-host systems. Here, we present a GEM for the oomycete plant pathogen Phytophthora infestans as a first step towards an integrative model with its host. We predict the biochemical reactions in different cellular compartments and investigate the gene-protein-reaction associations in this model to obtain an impression of the biochemical capabilities of P. infestans. Furthermore, we generate life stage-specific models to place the transcriptomic changes of the genes encoding metabolic enzymes into a functional context. In sporangia and zoospores, there is an overall down-regulation, most strikingly reflected in the fatty acid biosynthesis pathway. To investigate the robustness of the GEM, we simulate gene deletions to predict which enzymes are essential for in vitro growth. This model is an essential first step towards an understanding of P. infestans and its interactions with plants as a system, which will help to formulate new hypotheses on infection mechanisms and disease prevention.
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