Redox activities and ROS, NO and phenylpropanoids production by axenically cultured intact olive seedling roots after interaction with a mycorrhizal or a pathogenic fungus

Las raíces de las plántulas de olivo, en cultivo axénico, fueron colocadas alternativamente en contacto con Rhizophagus irregulares (micorrícicos) o con hongos Verticillim dahliae (patógenos). También se incluyeron tratamientos MeJA. Las raíces intactas (generación de anión superóxido, superóxido dismutasa y actividades de peroxidasa) se midieron en las actividades in vivo del apoplasto. Todos nuestros resultados mostraron que las actividades redox apoplásticas de raíces de las plántulas intactas en contacto con el hongo micorriza compatible fueron claramente atenuados en comparación con el hongo patógeno o tratado con MeJA, incluso en las primeras etapas usadas en el tratamiento. Los fenoles totales, flavonoides y glucósidos fenilpropanoides, también fueron cuantificados. Las raíces en contacto con el hongo micorriza no mejoraron la biosíntesis de compuestos fenólicos con respecto a los controles, mientras que los de contacto con el patógeno mejoraron de forma significativa la biosíntesis de todas las fracciones fenólicas medidas. Las especies reactivas del oxígeno y la acumulación de óxido nítrico en las raíces fueron examinadas por microscopía de fluorescencia. Todos ellas presentaron una acumulación mucho mayor en las raíces en contacto con el patógeno que con el hongo micorriza. En total, estos resultados indican que las raíces de las plántulas intactas de olivo, claramente diferenciadas entre micorrizas y hongos patógenos, atenuan las reacciones de defensa contra la primera para facilitar su creación, mientras que induce una reacción de defensa fuerte y sostenida contra el segundo. Ambas especies reactivas de oxígeno y nitrógeno parecían estar involucrados en estas respuestas desde los primeros momentos de contacto. Sin embargo, se necesitan más investigaciones para aclarar la diafonía propuesta entre ellos y sus respectivas funciones en estas respuestas ya que las imágenes de fluorescencia de las raíces revelaron que las especies reactivas del oxígeno se acumulan principalmente en el apoplasto (congruente con las actividades redox medidas en este compartimento), mientras el óxido nítrico se almacena principalmente en el citosol.Roots of intact olive seedlings, axenically cultured, were alternatively placed in contact with Rhizophagus irregularis (mycorrhizal) or Verticillim dahliae (pathogenic) fungi. MeJA treatments were also included. In vivo redox activities in the apoplast of the intact roots (anion superoxide generation, superoxide dismutase and peroxidase activities) were measured. All our results showed that apoplastic redox activities of intact seedling roots in contact with the compatible mycorrhizal fungus were clearly attenuated in comparison with the pathogenic fungus or treated with MeJA, even at the early stages of treatment used. Total phenolics, flavonoids and phenylpropanoid glycosides were also quantified. Roots in contact with the mycorrhizal fungus did not enhance the biosynthesis of phenolic compounds with respect to controls, while those in contact with the pathogenic one significantly enhanced the biosynthesis of all phenolic fractions measured. Reactive oxygen species and nitric oxid accumulation in roots were examined by fluorescence microscopy. All of them presented much higher accumulation in roots in contact with the pathogenic than with the mycorrhizal fungus. Altogether these results indicate that intact olive seedling roots clearly differentiated between mycorrhizal and pathogenic fungi, attenuating defense reactions against the first to facilitate its establishment, while inducing a strong and sustained defense reaction against the second. Both reactive oxygen and nitrogen species seemed to be involved in these responses from the first moments of contact. However, further investigations are required to clarify the proposed crosstalk between them and their respective roles in these responses since fluorescence images of roots revealed that reactive oxygen species were mainly accumulated in the apoplast (congruently with the measured redox activities in this compartment) while nitric oxid was mainly stored in the cytosol.-- Ministerio de Ciencia e Innovación. Proyecto CGL2009-12406 -- Junta de Extremadura. Proyecto PRI09A023peerReviewe

Predicting Ecological Roles in the Rhizosphere Using Metabolome and Transportome Modeling

The ability to obtain complete genome sequences from bacteria in environmental samples, such as soil samples from the rhizosphere, has highlighted the microbial diversity and complexity of environmental communities. However, new algorithms to analyze genome sequence information in the context of community structure are needed to enhance our understanding of the specific ecological roles of these organisms in soil environments. We present a machine learning approach using sequenced Pseudomonad genomes coupled with outputs of metabolic and transportomic computational models for identifying the most predictive molecular mechanisms indicative of a Pseudomonad's ecological role in the rhizosphere: a biofilm, biocontrol agent, promoter of plant growth, or plant pathogen. Computational predictions of ecological niche were highly accurate overall with models trained on transportomic model output being the most accurate (Leave One Out Validation F-scores between 0.82 and 0.89). The strongest predictive molecular mechanism features for rhizosphere ecological niche overlap with many previously reported analyses of Pseudomonad interactions in the rhizosphere, suggesting that this approach successfully informs a system-scale level understanding of how Pseudomonads sense and interact with their environments. The observation that an organism's transportome is highly predictive of its ecological niche is a novel discovery and may have implications in our understanding microbial ecology. The framework developed here can be generalized to the analysis of any bacteria across a wide range of environments and ecological niches making this approach a powerful tool for providing insights into functional predictions from bacterial genomic data