Browsing by Author "Gutierrez, Rodrigo A."

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    Cell surface receptor kinase FERONIA linked to nutrient sensor TORC signaling controls root hair growth at low temperature linked to low nitrate in Arabidopsis thaliana
    (2023) Martinez Pacheco, Javier; Song, Limei; Kubenova, Lenka; Ovecka, Miroslav; Berdion Gabarain, Victoria; Manuel Peralta, Juan; Urzua Lehuede, Tomas; Angel Ibeas, Miguel; Ricardi, Martiniano M.; Zhu, Sirui; Shen, Yanan; Schepetilnikov, Mikhail; Ryabova, Lyubov A.; Alvarez, Jose M.; Gutierrez, Rodrigo A.; Grossmann, Guido; Samaj, Jozef; Yu, Feng; Estevez, Jose M.
    Root hairs (RH) are excellent model systems for studying cell size and polarity since they elongate several hundred-fold their original size. Their tip growth is determined both by intrinsic and environmental signals. Although nutrient availability and temperature are key factors for a sustained plant growth, the molecular mechanisms underlying their sensing and downstream signaling pathways remain unclear. We use genetics to address the roles of the cell surface receptor kinase FERONIA (FER) and the nutrient sensing TOR Complex 1 (TORC) in RH growth. We identified that low temperature (10 degrees C) triggers a strong RH elongation response in Arabidopsis thaliana involving FER and TORC. We found that FER is required to perceive limited nutrient availability caused by low temperature. FERONIA interacts with and activates TORC-downstream components to trigger RH growth. In addition, the small GTPase Rho of plants 2 (ROP2) is also involved in this RH growth response linking FER and TOR. We also found that limited nitrogen nutrient availability can mimic the RH growth response at 10 degrees C in a NRT1.1-dependent manner. These results uncover a molecular mechanism by which a central hub composed by FER-ROP2-TORC is involved in the control of RH elongation under low temperature and nitrogen deficiency.
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    Modulation of plant root growth by nitrogen source-defined regulation of polar auxin transport
    (2021) Otvos, Krisztina; Marconi, Marco; Vega, Andrea; O'Brien, Jose; Johnson, Alexander; Abualia, Rashed; Antonielli, Livio; Montesinos, Juan Carlos; Zhang, Yuzhou; Tan, Shutang; Cuesta, Candela; Artner, Christina; Bouguyon, Eleonore; Gojon, Alain; Friml, Jiri; Gutierrez, Rodrigo A.; Wabnik, Krzysztof; Benkova, Eva
    Availability of the essential macronutrient nitrogen in soil plays a critical role in plant growth, development, and impacts agricultural productivity. Plants have evolved different strategies for sensing and responding to heterogeneous nitrogen distribution. Modulation of root system architecture, including primary root growth and branching, is among the most essential plant adaptions to ensure adequate nitrogen acquisition. However, the immediate molecular pathways coordinating the adjustment of root growth in response to distinct nitrogen sources, such as nitrate or ammonium, are poorly understood. Here, we show that growth as manifested by cell division and elongation is synchronized by coordinated auxin flux between two adjacent outer tissue layers of the root. This coordination is achieved by nitrate-dependent dephosphorylation of the PIN2 auxin efflux carrier at a previously uncharacterized phosphorylation site, leading to subsequent PIN2 lateralization and thereby regulating auxin flow between adjacent tissues. A dynamic computer model based on our experimental data successfully recapitulates experimental observations. Our study provides mechanistic insights broadening our understanding of root growth mechanisms in dynamic environments.
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    The rules of gene expression in plants: Organ identity and gene body methylation are key factors for regulation of gene expression in Arabidopsis thaliana
    (2008) Aceituno, Felipe F.; Moseyko, Nick; Rhee, Seung Y.; Gutierrez, Rodrigo A.
    Background: Microarray technology is a widely used approach for monitoring genome-wide gene expression. For Arabidopsis, there are over 1,800 microarray hybridizations representing many different experimental conditions on Affymetrix (TM) ATH1 gene chips alone. This huge amount of data offers a unique opportunity to infer the principles that govern the regulation of gene expression in plants.