 | Jangamannie@gmail.com |
Annie Jangam’s contributions address some of the most pressing challenges in plant biology - how to improve yield and resilience in crops under nutrient-limited and stress-prone environments. Her research sits at the intersection of functional genomics, nutrient signalling, and stress biology, with a strong focus on rice (Oryza sativa) as a model crop.
Her work on the G-protein α subunit (RGA1) has uncovered its central role in regulating nitrogen sensitivity, use efficiency, tillering, and yield traits. Through transcriptomic and network analyses, she has revealed how nitrate responses are modulated under varying environmental cues such as light and dark, and how these responses are linked to broader developmental and physiological traits.
With international publications in Plant Cell Reports, Planta, Scientific Reports, and Frontiers in Plant Science, Jangam has contributed significantly to the understanding of molecular mechanisms that underlie abiotic stress tolerance, nitrogen metabolism, and signal transduction pathways in rice. Her interdisciplinary approach, combining wet-lab research with computational biology, continues to support advances in sustainable crop improvement.
Her work on the G-protein α subunit (RGA1) has uncovered its central role in regulating nitrogen sensitivity, use efficiency, tillering, and yield traits. Through transcriptomic and network analyses, she has revealed how nitrate responses are modulated under varying environmental cues such as light and dark, and how these responses are linked to broader developmental and physiological traits.
With international publications in Plant Cell Reports, Planta, Scientific Reports, and Frontiers in Plant Science, Jangam has contributed significantly to the understanding of molecular mechanisms that underlie abiotic stress tolerance, nitrogen metabolism, and signal transduction pathways in rice. Her interdisciplinary approach, combining wet-lab research with computational biology, continues to support advances in sustainable crop improvement.
