Irene Fumasoni
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Irene Fumasoni has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Ana Cristina Miranda Brasileiro
Embrapa, Department of Genetic Resources and Biotechnology , Brasilia, DF 70770-91
1 shared publication - Kouji Satoh
Plant Genome Research Unit, Agrogenomics Research Center, National Institute of Agrobiological Sciences Tsukuba, Ibaraki, Japan
1 shared publication - Luca Mizzi
Department of Biosciences, University of Milan, via Celoria 26, 20133 Milano, Italy
1 shared publication - Mario Enrico Pè
Scuola Superiore Sant'Anna, Pisa, Italy
1 shared publication - Odile Faivre-Rampant
Parco Tecnologico Padano
1 shared publication - Pamela Abbruscato
Rice Genomics Unit, Parco Tecnologico Padano, via Einstein, 26900 Lodi, Italy
1 shared publication
Latest Publications
- Open Access
- 22 September 2009
- Published by Springer Nature in BMC Plant Biology
- Vol. 9 (1) , 1-22
Characterization of WRKYco-regulatory networks in rice and Arabidopsis
Background: The WRKY transcription factor gene family has a very ancient origin and has undergone extensive duplications in the plant kingdom. Several studies have pointed out their involvement in a range of biological processes, revealing that a large number ofWRKYgenes are transcriptionally regulated under conditions of biotic and/or abiotic stress. To investigate the existence ofWRKYco-regulatory networks in plants, a whole gene familyWRKYs expression study was carried out in rice (Oryza sativa). This analysis was extended toArabidopsis thalianataking advantage of an extensive repository of gene expression data.Results: The presented results suggested that 24 members of the riceWRKYgene family (22% of the total) were differentially-regulated in response to at least one of the stress conditions tested. We defined the existence of nine OsWRKYgene clusters comprising both phylogenetically related and unrelated genes that were significantly co-expressed, suggesting that specific sets ofWRKYgenes might act in co-regulatory networks. This hypothesis was tested by Pearson Correlation Coefficient analysis of the ArabidopsisWRKYgene family in a large set of Affymetrix microarray experiments.AtWRKYswere found to belong to two main co-regulatory networks (COR-A, COR-B) and two smaller ones (COR-C and COR-D), all including genes belonging to distinct phylogenetic groups. The COR-A network contained severalAtWRKYgenes known to be involved mostly in response to pathogens, whose physical and/or genetic interaction was experimentally proven. We also showed that specific co-regulatory networks were conserved between the two model species by identifying Arabidopsis orthologs of the co-expressedOsWRKYgenes.Conclusion: In this work we identified sets of co-expressedWRKYgenes in both rice and Arabidopsis that are functionally likely to cooperate in the same signal transduction pathways. We propose that, making use of data from co-regulatory networks, it is possible to highlight novel clusters of plant genes contributing to the same biological processes or signal transduction pathways. Our approach will contribute to unveil gene cooperation pathways not yet identified by classical genetic analyses. This information will open new routes contributing to the dissection of WRKY signal transduction pathways in plants.
- 22 September 2009
- Published by Springer Nature in BMC Plant Biology
- Vol. 9 (1) , 1-22
Open AccessCharacterization of WRKYco-regulatory networks in rice and Arabidopsis
Background: The WRKY transcription factor gene family has a very ancient origin and has undergone extensive duplications in the plant kingdom. Several studies have pointed out their involvement in a range of biological processes, revealing that a large number ofWRKYgenes are transcriptionally regulated under conditions of biotic and/or abiotic stress. To investigate the existence ofWRKYco-regulatory networks in plants, a whole gene familyWRKYs expression study was carried out in rice (Oryza sativa). This analysis was extended toArabidopsis thalianataking advantage of an extensive repository of gene expression data.Results: The presented results suggested that 24 members of the riceWRKYgene family (22% of the total) were differentially-regulated in response to at least one of the stress conditions tested. We defined the existence of nine OsWRKYgene clusters comprising both phylogenetically related and unrelated genes that were significantly co-expressed, suggesting that specific sets ofWRKYgenes might act in co-regulatory networks. This hypothesis was tested by Pearson Correlation Coefficient analysis of the ArabidopsisWRKYgene family in a large set of Affymetrix microarray experiments.AtWRKYswere found to belong to two main co-regulatory networks (COR-A, COR-B) and two smaller ones (COR-C and COR-D), all including genes belonging to distinct phylogenetic groups. The COR-A network contained severalAtWRKYgenes known to be involved mostly in response to pathogens, whose physical and/or genetic interaction was experimentally proven. We also showed that specific co-regulatory networks were conserved between the two model species by identifying Arabidopsis orthologs of the co-expressedOsWRKYgenes.Conclusion: In this work we identified sets of co-expressedWRKYgenes in both rice and Arabidopsis that are functionally likely to cooperate in the same signal transduction pathways. We propose that, making use of data from co-regulatory networks, it is possible to highlight novel clusters of plant genes contributing to the same biological processes or signal transduction pathways. Our approach will contribute to unveil gene cooperation pathways not yet identified by classical genetic analyses. This information will open new routes contributing to the dissection of WRKY signal transduction pathways in plants.