• Genome-wide identification of MITE-derived microRNAs and their targets in bread wheat 

      Crescente, Juan Manuel; Zavallo, Diego; Del Vas, Mariana; Asurmendi, Sebastian; Helguera, Marcelo; Fernandez, Elmer; Vanzetti, Leonardo Sebastian (BioMed Central, 2022-02)
      Background: Plant miRNAs are a class of small non-coding RNAs that can repress gene expression at the post-transcriptional level by targeting RNA degradation or promoting translational repression. There is increasing ...
    • Mal de Río Cuarto virus infection causes hormone imbalance and sugar accumulation in wheat leaves 

      De Haro, Luis Alejandro; Arellano, Sofía Maité; Novak, Ondrej; Feil, Regina; Dumon, Analia Delfina; Mattio, Maria Fernanda; Tarkowska, Danuse; Llauger, Gabriela; Strnad, Miroslav; Lunn, John Edward; Pearce, Stephen; Figueroa, Carlos María; Del Vas, Mariana (BMC, 2019-03)
      Background; Mal de Río Cuarto virus (MRCV) infects several monocotyledonous species including maize and wheat. Infected plants show shortened internodes, partial sterility, increased tillering and reduced root length. To ...
    • Mal de Río Cuarto Virus infection triggers the production of distinctive viral-derived siRNA profiles in wheat and Its planthopper vector 

      De Haro, Luis Alejandro; Dumon, Analia Delina; Mattio, Maria Fernanda; Arguello Caro, Evangelina Beatriz; Llauger, Gabriela; Zavallo, Diego; Blanc, Hervé; Mongelli, Vanesa Claudia; Truol, Graciela Ana Maria; Saleh, María-Carla; Asurmendi, Sebastian; Del Vas, Mariana (2017)
      Plant reoviruses are able to multiply in gramineae plants and delphacid vectors encountering different defense strategies with unique features. This study aims to comparatively assess alterations of small RNA (sRNA) ...
    • Mapping causal mutations by exome sequencing in a wheat TILLING population: a tall mutant case study 

      Mo, Youngjun; Howell, Tyson; Vasquez Gross, Hans; De Haro, Luis Alejandro; Dubcovsky, Jorge; Pearce, Stephen (Springer, 2018-04)
      Forward genetic screens of induced mutant plant populations are powerful tools to identify genes underlying phenotypes of interest. Using traditional techniques, mapping causative mutations from forward screens is a lengthy, ...