The phosphate-starvation response inVibrio cholerae O1 andphoB mutant under proteomic analysis: Disclosing functions involved in adaptation, survival and virulence

PROTEOMICS ◽  
2006 ◽  
Vol 6 (5) ◽  
pp. 1495-1511 ◽  
Author(s):  
Wanda Maria Almeida von Krüger ◽  
Leticia Miranda Santos Lery ◽  
Marcia Regina Soares ◽  
Fernanda Saloum de Neves-Manta ◽  
Celia Maria Batista e Silva ◽  
...  
2018 ◽  
Vol 20 (5) ◽  
pp. 1782-1793 ◽  
Author(s):  
Qian Wang ◽  
Yoon-Suk Kang ◽  
Abdullah Alowaifeer ◽  
Kaixiang Shi ◽  
Xia Fan ◽  
...  

PROTEOMICS ◽  
2006 ◽  
Vol 6 (12) ◽  
pp. 3582-3601 ◽  
Author(s):  
Le Thi Hoi ◽  
Birgit Voigt ◽  
Britta Jürgen ◽  
Armin Ehrenreich ◽  
Gerhard Gottschalk ◽  
...  

2019 ◽  
Author(s):  
Omri M. Finkel ◽  
Isai Salas-González ◽  
Gabriel Castrillo ◽  
Stijn Spaepen ◽  
Theresa F. Law ◽  
...  

AbstractPhosphate starvation response (PSR) in non-mycorrhizal plants comprises transcriptional reprogramming resulting in severe physiological changes to the roots and shoots and repression of plant immunity. Thus, plant-colonizing microorganisms – the plant microbiota – are exposed to direct influence by the soil’s phosphorous (P) content itself, as well as to the indirect effects of soil P on the microbial niches shaped by the plant. The individual contribution of these factors to plant microbiota assembly remains unknown. To disentangle these direct and indirect effects, we planted PSR-deficient Arabidopsis mutants in a long-term managed soil P gradient, and compared the composition of their shoot and root microbiota to wild type plants across different P concentrations. PSR-deficiency had a larger effect on the composition of both bacterial and fungal plant-associated microbiota composition than P concentrations in both roots and shoots. The fungal microbiota was more sensitive to P concentrationsper sethan bacteria, and less depended on the soil community composition.Using a 185-member bacterial synthetic community (SynCom) across a wide P concentration gradient in an agar matrix, we demonstrated a shift in the effect of bacteria on the plant from a neutral or positive interaction to a negative one, as measured by rosette size. This phenotypic shift is accompanied by changes in microbiota composition: the genusBurkholderiais specifically enriched in plant tissue under P starvation. Through a community drop-out experiment, we demonstrate that in the absence ofBurkholderiafrom the SynCom, plant shoots accumulate higher phosphate levels than shoots colonized with the full SynCom, only under P starvation, but not under P-replete conditions. Therefore, P-stressed plants allow colonization by latent opportunistic competitors found within their microbiome, thus exacerbating the plant’s P starvation.


2021 ◽  
Author(s):  
Thomas Dobrenel ◽  
Sunita Kushwah ◽  
Umarah Mubeen ◽  
Wouter Jansen ◽  
Nicolas Delhomme ◽  
...  

In eukaryotes, TOR (Target Of Rapamycin) is a conserved regulator of growth that integrates both endogenous and exogenous signals. These signals include the internal nutritional status, and in plants, TOR has been shown to be regulated by carbon, nitrogen and sulfur availability. In this study, we show that in Arabidopsis the TOR pathway also integrates phosphorus availability to actively modulate the cell cycle, which in turn regulates the intracellular content of amino acids and organic acids. We observed a substantial overlap between the phenotypic, metabolic and transcriptomic responses of TOR inactivation and phosphorus starvation in Arabidopsis cell culture. Although phosphorus availability modulates TOR activity, changes in the levels of TOR activity do not alter the expression of marker genes for phosphorus status. These data prompted us to place the sensing of phosphorus availability upstream of the modulation of TOR activity which, in turn, regulates the cell cycle and primary metabolism to adjust plant growth in plants.


2016 ◽  
Author(s):  
Jie Tan ◽  
Georgia Doing ◽  
Kimberley A. Lewis ◽  
Courtney E. Price ◽  
Kathleen M. Chen ◽  
...  

AbstractCross experiment comparisons in public data compendia are challenged by unmatched conditions and technical noise. The ADAGE method, which performs unsupervised integration with neural networks, can effectively identify biological patterns, but because ADAGE models, like many neural networks, are over-parameterized, different ADAGE models perform equally well. To enhance model robustness and better build signatures consistent with biological pathways, we developed an ensemble ADAGE (eADAGE) that integrated stable signatures across models. We applied eADAGE to aPseudomonas aeruginosacompendium containing experiments performed in 78 media. eADAGE revealed a phosphate starvation response controlled by PhoB. While we expected PhoB activity in limiting phosphate conditions, our analyses found PhoB activity in other media with moderate phosphate and predicted that a second stimulus provided by the sensor kinase, KinB, is required for PhoB activation in this setting. We validated this relationship using both targeted and unbiased genetic approaches. eADAGE, which captures stable biological patterns, enables cross-experiment comparisons that can highlight measured but undiscovered relationships.


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