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Author |
Ledger, T.; Rojas, S.; Timmermann, T.; Pinedo, I.; Poupin, M.J.; Garrido, T.; Richter, P.; Tamayo, J.; Donoso, R. |
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Title |
Volatile-Mediated Effects Predominate in Paraburkholderia phytofirmans Growth Promotion and Salt Stress Tolerance of Arabidopsis thaliana |
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Year |
2016 |
Publication |
Frontiers In Microbiology |
Abbreviated Journal |
Front. Microbiol. |
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Volume |
7 |
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Pages |
18 pp |
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Keywords |
plant growth promoting rhizobacteria (PGPR); Paraburkholderia phytofirmans PsJN; Arabidopsis thaliana; abiotic stress tolerance; ACC deaminase; volatile organic compounds (VOCs) |
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Abstract |
Abiotic stress has a growing impact on plant growth and agricultural activity worldwide. Specific plant growth promoting rhizobacteria have been reported to stimulate growth and tolerance to abiotic stress in plants, and molecular mechanisms like phytohormone synthesis and 1-aminocyclopropane-1-carboxylate deamination are usual candidates proposed to mediate these bacterial effects. Paraburkholderia phytofirmans PsJN is able to promote growth of several plant hosts, and improve their tolerance to chilling, drought and salinity. This work investigated bacterial determinants involved in PsJN stimulation of growth and salinity tolerance in Arabidopsis thaliana, showing bacteria enable plants to survive long-term salinity treatment, accumulating less sodium within leaf tissues relative to non-inoculated controls. Inactivation of specific bacterial genes encoding ACC deaminase, auxin catabolism, N-acyl-homosenne-lactone production, and flagellin synthesis showed these functions have little influence on bacterial induction of salinity tolerance. Volatile organic compound emission from strain PsJN was shown to reproduce the effects of direct bacterial inoculation of roots, increasing plant growth rate and tolerance to salinity evaluated both in vitro and in soil. Furthermore, early exposure to VOCs from P phytofirmans was sufficient to stimulate long-term effects observed in Arabidopsis growth in the presence and absence of salinity. Organic compounds were analyzed in the headspace of PsJN cultures, showing production of 2-undecanone, 7-hexanol, 3-methylbutanol and dimethyl disulfide. Exposure of A. thaliana to different quantities of these molecules showed that they are able to influence growth in a wide range of added amounts. Exposure to a blend of the first three compounds was found to mimic the effects of PsJN on both general growth promotion and salinity tolerance. To our knowledge, this is the first report on volatile compound-mediated induction of plant abiotic stress tolerance by a Paraburkholderia species. |
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Address |
[Ledger, Thomas; Rojas, Sandy; Timmermann, Tania; Pinedo, Ignacio; Poupin, Maria J.; Tamayo, Javier; Donoso, Raul] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Lab Bioingn, Santiago, Chile, Email: tledger@uai.cl |
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Frontiers Media Sa |
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English |
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1664-302x |
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Notes |
WOS:000388754700001 |
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Call Number |
UAI @ eduardo.moreno @ |
Serial |
679 |
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Author |
Donoso, R.; Leiva-Novoa, P.; Zuniga, A.; Timmermann, T.; Recabarren-Gajardo, G.; Gonzalez, B. |
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Title |
Biochemical and Genetic Bases of Indole-3-Acetic Acid (Auxin Phytohormone) Degradation by the Plant-Growth-Promoting Rhizobacterium Paraburkholderia phytofirmans PsJN |
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Year |
2017 |
Publication |
Applied And Environmental Microbiology |
Abbreviated Journal |
Appl. Environ. Microbiol. |
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Volume |
83 |
Issue |
1 |
Pages |
20 pp |
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Keywords |
indole-3-acetic acid catabolism; iac genes; Paraburkholderia phytofirmans; plant-growth-promoting rhizobacteria |
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Abstract |
Several bacteria use the plant hormone indole-3-acetic acid (IAA) as a sole carbon and energy source. A cluster of genes (named iac) encoding IAA degradation has been reported in Pseudomonas putida 1290, but the functions of these genes are not completely understood. The plant-growth-promoting rhizobacterium Paraburkholderia phytofirmans PsJN harbors iac gene homologues in its genome, but with a different gene organization and context than those of P. putida 1290. The iac gene functions enable P. phytofirmans to use IAA as a sole carbon and energy source. Employing a heterologous expression system approach, P. phytofirmans iac genes with previously undescribed functions were associated with specific biochemical steps. In addition, two uncharacterized genes, previously unreported in P. putida and found to be related to major facilitator and tautomerase superfamilies, are involved in removal of an IAA metabolite called dioxindole-3-acetate. Similar to the case in strain 1290, IAA degradation proceeds through catechol as intermediate, which is subsequently degraded by ortho-ring cleavage. A putative two-component regulatory system and a LysR-type regulator, which apparently respond to IAA and dioxindole-3-acetate, respectively, are involved in iac gene regulation in P. phytofirmans. These results provide new insights about unknown gene functions and complex regulatory mechanisms in IAA bacterial catabolism. IMPORTANCE This study describes indole-3-acetic acid (auxin phytohormone) degradation in the well-known betaproteobacterium P. phytofirmans PsJN and comprises a complete description of genes, some of them with previously unreported functions, and the general basis of their gene regulation. This work contributes to the understanding of how beneficial bacteria interact with plants, helping them to grow and/or to resist environmental stresses, through a complex set of molecular signals, in this case through degradation of a highly relevant plant hormone. |
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Address |
[Donoso, Raul; Leiva-Novoa, Pablo; Zuniga, Ana; Timmermann, Tania; Gonzalez, Bernardo] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Santiago, Chile, Email: bernardo.gonzalez@uai.cl |
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Amer Soc Microbiology |
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English |
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ISSN |
0099-2240 |
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Notes |
WOS:000393205400001 |
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Call Number |
UAI @ eduardo.moreno @ |
Serial |
699 |
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Author |
Timmermann, T.; Gonzalez, B.; Ruz, G.A. |
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Title |
Reconstruction of a gene regulatory network of the induced systemic resistance defense response in Arabidopsis using boolean networks |
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Year |
2020 |
Publication |
Bmc Bioinformatics |
Abbreviated Journal |
BMC Bioinformatics |
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Volume |
21 |
Issue |
1 |
Pages |
16 pp |
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Keywords |
Boolean networks; Differential evolution; Gene regulatory networks; Induced systemic resistance; Paraburkholderia phytofirmans; Pseudomonas syringae |
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Abstract |
Background An important process for plant survival is the immune system. The induced systemic resistance (ISR) triggered by beneficial microbes is an important cost-effective defense mechanism by which plants are primed to an eventual pathogen attack. Defense mechanisms such as ISR depend on an accurate and context-specific regulation of gene expression. Interactions between genes and their products give rise to complex circuits known as gene regulatory networks (GRNs). Here, we explore the regulatory mechanism of the ISR defense response triggered by the beneficial bacterium Paraburkholderia phytofirmans PsJN in Arabidopsis thaliana plants infected with Pseudomonas syringae DC3000. To achieve this, a GRN underlying the ISR response was inferred using gene expression time-series data of certain defense-related genes, differential evolution, and threshold Boolean networks. Results One thousand threshold Boolean networks were inferred that met the restriction of the desired dynamics. From these networks, a consensus network was obtained that helped to find plausible interactions between the genes. A representative network was selected from the consensus network and biological restrictions were applied to it. The dynamics of the selected network showed that the largest attractor, a limit cycle of length 3, represents the final stage of the defense response (12, 18, and 24 h). Also, the structural robustness of the GRN was studied through the networks' attractors. Conclusions A computational intelligence approach was designed to reconstruct a GRN underlying the ISR defense response in plants using gene expression time-series data of A. thaliana colonized by P. phytofirmans PsJN and subsequently infected with P. syringae DC3000. Using differential evolution, 1000 GRNs from time-series data were successfully inferred. Through the study of the network dynamics of the selected GRN, it can be concluded that it is structurally robust since three mutations were necessary to completely disarm the Boolean trajectory that represents the biological data. The proposed method to reconstruct GRNs is general and can be used to infer other biologically relevant networks to formulate new biological hypotheses. |
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Address |
[Timmermann, Tania; Gonzalez, Bernardo; Ruz, Gonzalo A.] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Lab Bioingn, Santiago, Chile, Email: gonzalo.ruz@uai.cl |
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Bmc |
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English |
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1471-2105 |
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Notes |
WOS:000529043500003 |
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Call Number |
UAI @ eduardo.moreno @ |
Serial |
1143 |
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