Journal of Proteome Research · 2019 · 16 citations · 61 references
Life SciencesAgronomyCrop SciencesPlant BiochemistryPlant-microbe InteractionsProteomicsLegume CropsMicrobial ProteomicsPlant ProteomicsSoil AcidityStress BiochemistryAcid StressAcid Stress ResponseAcid Tolerance ResponseGlutamate MetabolismPeptidoglycan BiosynthesisProteomic Responses To StressRhizobial SymbiosisRhizobium-legume Symbiosis
Acid soils constitute a severe problem for leguminous crops mainly through a disturbance in rhizobium–legume interactions. Rhizobium favelukesii—an acid-tolerant rhizobium able to nodulate alfalfa—is highly competitive for nodule occupation under acid conditions but inefficient for biologic nitrogen fixation. In this work, we obtained a general description of the acid-stress response of R. favelukesii LPU83 by means of proteomics by comparing the total proteome profiles in the presence or absence of acid stress by nanoflow ultrahigh-performance liquid chromatography coupled to mass spectrometry. Thus, a total of 336 proteins were identified with a significant differential expression, 136 of which species were significantly overexpressed and 200 underexpressed in acidity. An in silico functional characterization with those respective proteins revealed a complex and pleiotropic response by these rhizobia involving components of oxidative phosphorylation, glutamate metabolism, and peptidoglycan biosynthesis, among other pathways. Furthermore, a lower permeability was evidenced in the acid-stressed cells along with several overexpressed proteins related to γ-aminobutyric acid metabolism, such as the gene product of livK, which gene was mutated. This mutant exhibited an acid-sensitive phenotype in agreement with the proteomics results. We conclude that both the γ-aminobutyric acid metabolism and a modified cellular envelope could be relevant to acid tolerance in R. favelukesii.
61
The Perseus computational platform for comprehensive analysis of (prote)omics data
Stefka Tyanova, Tikira Temu, Pavel Sinitcyn et al. · Nature Methods · 2016 · 8.9K citations