Inferring co-expression networks of Arabidopsis thaliana genes during their interaction with Trichoderma spp
Artículo
Te invitamos a leer el artículo "Inferring co-expression networks of Arabidopsis thaliana genes during their interaction with Trichoderma spp" publicado en Scientific Reports, a cargo del profesor investigador Dr. Alfredo Herrera Estrella y su equipo de trabajo de la UGA-Langebio.
Autores: Javier-David Vega-Arroy /Alfredo Herrera-Estrella / Cesaré Ovando-Vázquez & Sergio Casas-Flores
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IPICYT, División de Biología Molecular.
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Centro de Investigación y de Estudios Avanzados del IPN, Unidad de Genómica Avanzada-Langebio.
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IPICYT, Centro Nacional de Supercomputo.
Felicitamos al estudiantado y profesorado que contribuyeron en esta investigación por su arduo trabajo.
Summary:
Fungi of the Trichoderma genus are called "biostimulants" because they promote plant growth and development and induce disease resistance. We used conventional transcriptome and gene co-expression analyses to understand the molecular response of the plant Arabidopsis thaliana to inoculation with Trichoderma atroviride or Trichoderma virens. The transcriptional landscape of the plant during the interaction with these fungi showed a reduction in functions such as reactive oxygen species production, defense mechanisms against pathogens, and hormone signaling. T. virens, as opposed to T. atroviride, was more effective at downregulating genes related to terpenoid metabolism, root development, and chemical homeostasis. Through gene co-expression analysis, we found functional gene modules that closely link plant defense with hypoxia. Notably, we found a transcription factor (locus AT2G47520) with two functional domains of interest: a DNA-binding domain and an N-terminal cysteine needed for protein stability under hypoxia. We hypothesize that the transcription factor can bind to the promoter sequence of the GCC-box that is connected to pathogenesis by positioned weight matrix analysis.