"Phytopathogenic Bacteria". Center for Plant Biotechnology and Genomics (CBGP), Polytechnic University of Madrid (UPM)-National Institute for Agricultural and Food Research and Technology (INIA). Emilia López Solanilla and José Juan Rodríguez Herva.
"Phytopathogenic Bacteria". Center for Plant Biotechnology and Genomics (CBGP), Polytechnic University of Madrid (UPM)-National Institute for Agricultural and Food Research and Technology (INIA). Emilia López Solanilla and José Juan Rodríguez Herva. Pseudomonas syringae p.v. tomato, which this bacterium uses to optimize its colonization and virulence capacity. On the other hand, also using as a model the phytopathogenic bacteria p.v. tomato, which this bacterium uses to optimize its colonization and virulence capacity. On the other hand, also using as a model the phytopathogenic bacteria p.v. tomato, which this bacterium uses to optimize its colonization and virulence capacity. On the other hand, also using as a model the phytopathogenic bacteria
p.v. tomato, which this bacterium uses to optimize its colonization and virulence capacity. On the other hand, also using as a model the phytopathogenic bacteria
Santamaría‐Hernando, S., Cerna‐Vargas, J.P., Martínez‐García, P.M., Polanco, S. de F., Nebreda, S., Rodríguez‐Palenzuela, P., Rodríguez‐Herva, J.J., López‐Solanilla, E. 2020. Blue-light perception by epiphytic Pseudomonas syringae drives chemoreceptor expression, enabling efficient plant infection. Molecular Plant Pathology. DOI: 10.1111/mpp.13001
Santamaría‐Hernando, S., Cerna‐Vargas, J.P., Martínez‐García, P.M., Polanco, S. de F., Nebreda, S., Rodríguez‐Palenzuela, P., Rodríguez‐Herva, J.J., López‐Solanilla, E. 2020. Blue-light perception by epiphytic Pseudomonas syringae drives chemoreceptor expression, enabling efficient plant infection. Molecular Plant Pathology. DOI: 10.1111/mpp.13001
Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018. “Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018.”Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018.″.
Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018. “Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018.″Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018.”.
Santamaria-Hernando, S; Rodriguez-Herva, JJ; Martinez-Garcia, PM; Rio-Alvarez, I; González-Melendi, P; Zamorano, J; Tapia, C; Rodriguez-Palenzuela, P; Lopez-Solanilla, E. 2018. “Prediction of bacterial associations with plants using a supervised machine-learning approach”Prediction of bacterial associations with plants using a supervised machine-learning approach″.
Prediction of bacterial associations with plants using a supervised machine-learning approach “Prediction of bacterial associations with plants using a supervised machine-learning approach”Prediction of bacterial associations with plants using a supervised machine-learning approach″.
Prediction of bacterial associations with plants using a supervised machine-learning approach “Prediction of bacterial associations with plants using a supervised machine-learning approach″. Environmental Microbiology. DOI: 10.1111/1462-2920.12240”.