INVESTIGADORES
RÍPODAS Carolina
congresos y reuniones científicas
Título:
Characterization of a potential target of the transcription factor NF-YA1 in Medicago truncatula
Autor/es:
RÍPODAS, CAROLINA; COUTANT, EVE; LEPAGE, AGNES; COURRÈGES-CLERQ, JORDAN; NIEBEL ANDREAS; REGAD, FARID
Lugar:
Granada
Reunión:
Conferencia; International Nitrogen Fixation Conference 2017; 2017
Resumen:
Legume plants are able to associate with nitrogen-fixing bacteria from the soil, called Rhizobia. The presence of the bacteria in the rhizosfere induce a developmental program in the plant that involves morphological and molecular changes that culminates with the formation of a new specialized organ, the nodule, inside which differentiated bacteria convert atmospheric nitrogen into ammonia for the benefit of the host plant. During the rhizobial symbiosis, several genes are highly expressed. Among them, the transcription factor (TF) NF-YA1 is a central regulator of nodule development 2 in the model legume Medicago truncatula 1 with a strickingingly specific and early symbiotic expression pattern. . MtNF-YA1 belongs to the family of CCAAT-box binding TFs, or Nuclear Factor Y (NF-Y), which is conserved in all eukaryotic systems3. In order to better understand the mode of action of this TF, and to identify and characterize potential MtNF-YA1 targets, we performed a comparative RNAseq analysis between the Mtnf-ya1 mutant and wild-type plants. From the results of this analysis, we focused on a TF of the ethylene response factor (ERF) family called LEP (Leafy Petiole4). This regulator is characterized by specific and early expression during nodular organogenesis in the wild-type plant but absent when MtNF-YA1 is mutated. We characterized the expression pattern of MtLEP in different organs of Medicago and during nodule development using RT-qPCR and promoter reporter constructs. In order to gain insight into the role of MtLEP during root infection and nodule organogenesis, we performed a functional analysis of LEP using knock-down and ectopic expression approaches .