Thrilled to share our new Nature paper: “Developmentally regulated genes drive phylogenomic splits in ovule evolution.”
The New York Plant Genomics Consortium uncovers how developmental genes shaped divergence in seeds.🌱🧬
https://t.co/V4HGZo8qJM
The Coruzzi Lab @ NYU is hiring a Postdoc in systems biology! 🌱 Work on gene regulatory networks in plants using ML + high-throughput validation. Key Words: nitrogen use efficiency, key transcription factors, and translational crop impact.
https://t.co/KrzGcpuFrS
Very excited to share our recent work using gymnosperms to uncover >4k genes driving seed evolution! https://t.co/j5mb4cplyu @nyuniversity@NYBG@coruzzilab @plantevode
The Coruzzi Lab was featured in an article written by NYU News: "Artificial Intelligence and Genetics Can Help Farmers Grow Corn with Less Fertilizer". https://t.co/3k9Qxc590Z…Click to see Maize growing in our Rooftop Zegar Greenhouse!
Check out our most recent paper, featured in the May 2025 edition of @ThePlantCell, highlighting a "Focus on Translational Research from Arabidopsis to Crop Plants and Beyond"
https://t.co/XXFtUdVFaX
This presentation is a tribute to Joe Key for his vision and leadership at the frontier of plant molecular biology, both scientifically and for community building. We are grateful for his vision and mourn his passing on Aug. 19, 2024. Gloria Coruzzi, NYU https://t.co/1fJW5cwUWc
On May 17th, 2024 the @nyuniversity Annual Genome Symposium, hosted by the Center for Genomics and Systems Biology, honored the scientific achievements, life & career of dear friend, visionary, entrepreneur & mentor Dr. Philip Benfey. Recording Link:
https://t.co/FtiBAkLzrA
The Coruzzi Lab and collaborators present the genome of the Wollemi pine, a critically endangered “living fossil” unchanged since the Cretaceous, reveals extensive ancient transposon activity. https://t.co/5C6sIWfIyw
In this new paper from the @coruzzilab, the authors use carefully designed experiments to construct evolutionarily-informed machine learning models that predict genes affecting nitrogen utilization in crops.
https://t.co/ZmJmnbB4ta
Can the gene(s) underlying a specific phenotype be accurately predicted!? Click below to learn how machine learning technology can be applied to elucidate key genetic drivers in important crops (and potentially in humans!) @coruzzilab
https://t.co/l2pB5GtX87
Great work from lab members @limm6535, @wanru0, @will_hinckley and collaborators Tao Yao, Wellington Muchero and Jay Chen at Oak Ridge National Lab. Big thanks to @coruzzilab for the cool title.