Projects
1. Evolution of plant phosphate signaling
Plant phosphate signaling, the key to understanding how plants manage an essential nutrient, unfolds as an evolutionary story spanning eons. This journey from ancient adaptations in early terrestrial plants to modern molecular signaling pathways is not only a fascinating exploration of plant life's history but also a critical component of sustainable agriculture and environmental stewardship. As we trace the evolution of plant phosphate signaling, we uncover insights that hold the promise of higher nutrient utilization efficiency and more efficient nutrient management, benefiting both agriculture and ecosystems.
References: Jia et al., 2023; Helliwell, 2022; Jia et al., 2021; Wang et al., 2021
2. Evolution of crosstalk between plant defense and nutrition
The evolutionary relationship between plant defense mechanisms and nutritional strategies unfolds as a compelling story of adaptation. Plants have refined their ability to balance resource allocation between protection and nutrition over time, shaping their responses to environmental challenges. This journey, from ancient survival tactics to complex contemporary interactions, unveils the intricate link between plant defense and nutrient optimization. This exploration offers insights into modern agriculture and ecosystem management, where understanding this delicate balance is essential for sustainable food production and environmental well-being.
References: Zhao et al., 2023; Zhang et al., 2023; Salas-González et al., 2021; Castrillo et al., 2017; Lebeis et al., 2015
3. Deep learning and synthetic biology in plant nutrition
The synergy between deep learning and synthetic biology has catalyzed a transformative approach to plant nutrition. This convergence harnesses data-driven insights and precision genetic engineering to optimize nutrient uptake, stress resistance, and overall crop performance. By uniting artificial intelligence and genetic manipulation, we are on the brink of developing tailored solutions that can increase crop yields, reduce resource consumption, and promote sustainable agriculture. In this exploration, we unravel the potential of deep learning and synthetic biology in revolutionizing plant nutrition for a burgeoning global population and a healthier planet.
References: Durairaj et al., 2023; Barrio-H. et al., 2023; Yasmeen et al., 2023; Huang et al., 2023; Brophy et al., 2022
*Figure from Lou et al., 2023
P.S. Cooperation on certain projects is always welcome.