22nd Century Group has developed and launched a technology platform that will enable the company and its strategic partners to quickly identify and incorporate commercially valuable traits of hemp/cannabis plants to create new, stable hemp/cannabis lines. The platform incorporates a suite of proprietary molecular tools and a large library of genomic markers and gene-trait correlations. The platform was developed in collaboration with researchers at KeyGene, a global leader in plant research involving high-value genetic traits and increased crop yields.
“This is a major breakthrough. Quickly and easily identifying the genes responsible for specific traits in a plant is a powerful tool for 22nd Century Group and the hemp/cannabis industry as a whole,” said James A. Mish, chief executive officer of 22nd Century Group, in a statement.
“That is why we are even now beginning discussions to license this platform to strategic partners to help them improve their plant breeding techniques and to optimize their hemp/cannabis cultivars. We continue to make great advancements through our partnership with KeyGene, and this newly developed molecular breeding platform has the potential to result in exponential growth for the company’s revenues and create new value opportunities for our stakeholders, including shareholders.”
“Using traditional breeding techniques, it typically takes at least eight to 10 years to develop new varieties of hemp/cannabis plants that consistently express important traits,” said Juan Sanchez Tamburrino, vice president of research and development at 22nd Century Group.
“Our new molecular breeding platform can dramatically reduce our development time for new high-value varieties of hemp/cannabis and allows 22nd Century scientists to identify plant lines that carry high levels of major therapeutic cannabinoids, such as cannabidiol, cannabichromene and other minor therapeutic cannabinoids like cannabidivarin and tetrahydrocannabivarin.”
Demonstrating how this technology can be used, 22nd Century and KeyGene scientists can now accelerate the selection of specific traits yielding novel cannabinoid profiles. For example, the team was able to select specific markers that predict the gender of hemp/cannabis plants with 99.6 percent accuracy.