Research area
Plant biology
Research area
Plant biology

COMPARATIVE DEVELOPMENTAL PLANT GENOMICS

Research

Our lab is interested in deciphering the codes of life. In particular, we want to understand how genomic programs that allow organisms to grow and develop in sync with periodic environmental changes are encoded and regulated. For this, we are contributing to identifying all the regulatory components of the plant biological clock and calendar, and deciphering how they operate at transcriptional and post-transcriptional levels. This allows us to understand how daily and seasonal oscillations in gene expression networks operate and contribute to the control of plant growth and development. Although our focus is on deciphering how genomic programs operate in plants, we also apply the knowledge we acquire in genetics, genomics, and bioinformatics to create new biomedical and/or agricultural products that will help improve life on this planet.

Skills & tools

To decipher the genomic programs that contribute to regulating plant growth and development in sync with periodic environmental changes, we combine physiological and genetic approaches with genomic and bioinformatic analysis. We mostly use Arabidopsis as a model organism to answer our questions of interest but also use different crops to test the agricultural relevance of our findings and to develop tools that will help breeders develop new varieties with improved performance under different geographic regions and climates.

Collaboration interests

  • Development and application of Genomic and Bioinformatic tools to analyze post-transcription regulation of gene expression.
  • High throughput plant phenotyping.

Selected publications

  • MATEOS, Julieta L., et al. PICLN modulates alternative splicing and light/temperature responses in plants. Plant Physiology, 2023, vol. 191, no 2, p. 1036-1051.

  • MANCINI, Estefania, et al. ASpli: integrative analysis of splicing landscapes through RNA-Seq assays. Bioinformatics, 2021, vol. 37, no 17, p. 2609-2616.

  • DE LEONE, María José, et al. Bacterial infection disrupts clock gene expression to attenuate immune responses. Current Biology, 2020, vol. 30, no 9, p. 1740-1747. e6.

Principal investigator

Marcelo Javier Yanovsky