ArticleFrontiers in microbiology2020
Nitrogen Substrate Utilization in Three Rhizosphere Bacterial Strains Investigated Using Proteomics.
Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 13 citations in OpenAlex.
- Comprehensive in silico analysis of eggNOG-annotated orthologous genes infers functional dynamics and energy metabolism in the microbiome of Abutilon fruticosum.BMC plant biology · 2026Article
- Novel Endophytic Fungi fromMicroorganisms · 2026Article
- A coarse-grained resource allocation model of carbon and nitrogen metabolism in unicellular microbes.Journal of the Royal Society, Interface · 2023Article
- Genome-resolved metagenomics revealed metal-resistance, geochemical cycles in a Himalayan hot spring.Applied microbiology and biotechnology · 2023Article
- Functional Diversity of Microbial Communities in the Soybean (International journal of molecular sciences · 2022Article
- Biosolid-Amended Soil Enhances Defense Responses in Tomato Based on Metagenomic Profile and Expression of Pathogenesis-Related Genes.Plants (Basel, Switzerland) · 2021Article
- Nitrogen Substrate Utilization in Three Rhizosphere Bacterial Strains Investigated Using Proteomics.Frontiers in microbiology · 2020Article
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3 authors at 1 institution in 1 country.
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Abstract
Nitrogen metabolism in the rhizosphere microbiome plays an important role in mediating plant nutrition, particularly under low inputs of mineral fertilizers. However, there is relatively little mechanistic information about which genes and metabolic pathways are induced by rhizosphere bacterial strains to utilize diverse nitrogen substrates. Here we investigate nitrogen substrate utilization in three taxonomically diverse bacterial strains previously isolated from Arabidopsis roots. The three strains represent taxa that are consistently detected as core members of the plant microbiome: Pseudomonas, Streptomyces, and Rhizobium. We use phenotype microarrays to determine the nitrogen substrate preferences of these strains, and compare the experimental results vs. computational simulations of genome-scale metabolic network models obtained with EnsembleFBA. Results show that all three strains exhibit generalistic nitrogen substrate preferences, with substrate utilization being well predicted by EnsembleFBA. Using label-free quantitative proteomics, we document hundreds of proteins in each strain that exhibit differential abundance values following cultivation on five different nitrogen sources: ammonium, glutamate, lysine, serine, and urea. The proteomic response to these nitrogen sources was strongly strain-dependent, with lysine nutrition eliciting widespread protein-level changes in
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