Research platform for identifying novel morphogenic genes that enhance WUSCHEL/BABYBOOM-mediated plant transformation across recalcitrant maize genotypes. Leverages introgression line fine-mapping and candidate gene screening to overcome genotype-dependent bottlenecks in crop biotechnology.
This research program addresses one of the most persistent bottlenecks in crop biotechnology: the genotype-dependence of plant transformation. While WUSCHEL/BABYBOOM (WUS/BBM)-mediated transformation has emerged as a breakthrough enabling genotype-flexible plant regeneration, transformation efficiency can vary dramatically from less than 1% to over 100% depending on the genetic background. This program applies biparental mapping and introgression line analysis to identify modifier genes that can boost WUS/BBM performance across recalcitrant crop varieties.
The value proposition for industry partners is significant: improved transformation efficiency in difficult genotypes accelerates trait development pipelines, reduces costs, and expands the range of commercially important cultivars that can be engineered. By identifying the genetic factors controlling transformation responsiveness, this work enables more predictable, scalable plant biotechnology workflows for maize and potentially other crops.
Mapping and discovery platform:
Prior validation track record:
The team has previously identified a novel morphogenic regulator from the A188 maize line that induces somatic embryogenesis in recalcitrant B73, demonstrating the feasibility of this gene discovery approach. The established pipeline covers QTL identification, gene model evaluation through transcriptomic studies, and functional testing in B73.
The program is at an advanced discovery stage with validated methodology. The mapping population has been constructed, responsive and recalcitrant parents have been characterized, and initial screening has identified promising introgression lines with overlapping donor segments. Current funding needs support PacBio sequencing for high-resolution introgression mapping and synthesis of candidate gene parts for functional validation. The next milestones include refined candidate gene identification through RNA-Seq, vector construction, and high-throughput screening through WUS/BBM transformation. Upon successful gene identification, the technology would advance toward trait deployment applications in maize breeding and biotechnology programs.
The University of Wisconsin–Madison is the state’s flagship public research university, a comprehensive institution with a large research enterprise and broad disciplinary breadth. Industry engages through shared instrumentation, pilot‑scale testbeds, and co-located core facilities that support prototyping and scale-up. An affiliated research and technology park hosts startups and corporate R&D, while integration with a major hospital system enables clinical translation; a statewide extension network connects campus advances to companies and communities across Wisconsin. Research is sustained by competitive federal funding from agencies such as NIH, NSF, DOE, USDA, and DoD, alongside state and industry partnerships. Dedicated commercialization support—through an affiliated foundation and campus offices—provides IP management, licensing, startup mentoring, and flexible, industry-friendly agreements.