An auxin-regulable oscillatory circuit drives the root clock in Arabidopsis

CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)In Arabidopsis, the root clock regulates the spacing of lateral organs along the primary root through oscillating gene expression. The core molecular mechanism that drives the root clock periodicity and how it is modified by exogenous cues such as auxin and gravity remain unknown. We identified the key elements of the oscillator (AUXIN RESPONSE FACTOR 7, its auxin-sensitive inhibitor IAA18/POTENT, and auxin) that form a negative regulatory loop circuit in the oscillation zone. Through multilevel computer modeling fitted to experimental data, we explain how gene expression oscillations coordinate with cell division and growth to create the periodic pattern of organ spacing. Furthermore, gravistimulation experiments based on the model predictions show that external auxin stimuli can lead to entrainment of the root clock. Our work demonstrates the mechanism underlying a robust biological clock and how it can respond to external stimuli.This work was funded by the Ministerio de Economía y Competitividad of Spain (MINECO) and/or the ERDF (BFU2016-80315-P to M.A.M.-R., BIO2017-82209-R to J.C.d.P., and TIN2016-81079-R to A.R.-P.), the Comunidad de Madrid and/or ERDF and ESF (2017-T1/BIO-5654 to K.W. and S2017/BMD-3691 to A.R.-P.), the Howard Hughes Medical Institute and the NIH (R35-GM131725 to P.N.B.), the Fonds Wetenschappelijk Onderzoek (FWO Flanders) (G022516N, G020918N, and G024118N to T.B.), and the “Severo Ochoa Program for Centres of Excellence in R&D” from the Agencia Estatal de Investigacion of Spain [SEV-2016-0672 (2017–2021)] to K.W., P.P.-G., and M.A.M.-R. through CBGP. M.M. was supported by a postdoctoral contract associated to SEV-2016-0672, E.B.-A. by Ayudante de Investigacion contract PEJ-2017-AI/BIO-7360 from the Comunidad de Madrid, A.S.-C. and L.S.-R. by FPI contracts from MINECO (BES-2014-068852 and BES-2017-080155, respectively), J.C. by a Juan de la Cierva contract from MINECO (FJCI-2016-28607), P.P.-G. by a Juan de la Cierva contract from MINECO (FJCI-2015-24905) and Programa Atraccion Talento from Comunidad Madrid (2017-T2/BIO-3453), A.S. by a Torres Quevedo contract from MINECO (PTQ-15-07915), and K.W. by program PGC2018-093387-A-I00 from the Ministerio de Ciencia e Innovacion (MICIU)Peer reviewe

A hybrid multidimensional Recommender System for radio programs

The rise of Recommender Systems has made their presence very common today in many domains. An example is the domain of radio or TV broadcasting content recommendations. The approach proposed here allows radio listeners to receive customized recommendations of radio channels they might listen to based on their specific preferences and/or historical data. Firstly, a Data Acquisition System is presented with its main task being to obtain and process data to pass to recommenders. Secondly, a dynamic hybrid Recommender System is developed based on four dimensions reflecting major aspects of radio programs: relative talk/music percentages, music genres, topics covered, and speech tone. Eight recommenders are constructed (two per dimension) using content-based or collaborative filtering algorithms depending on the nature of the data processed, whether historical data or user preferences. And thirdly, by assigning weights in accordance with the users’ preferences, a dynamic ensemble of these recommenders is formed which produces the final recommendations. Experiments were carried out illustrating the usefulness of the recommendations and its acceptance by radio listeners