Recent research conducted by Alibaba DAMO Academy, Zhejiang University, and the Chinese Academy of Agricultural Sciences (CAAS) demonstrates that DNA methylation data can serve as a valuable resource for crop breeding, offering new avenues to accelerate crop improvement. The findings were published in Cell Research, a journal under the Nature portfolio.
To better understand the significance of DNA methylation, the research team leveraged advanced AI technologies, including a deep learning model named Deep Functional DNA Methylation Loci (DeepFDML). By analyzing high-quality methylomes, transcriptomes, and genomes from crop fibers, the study identified more than 287 million single methylation polymorphisms (SMPs)—the largest dataset of its kind to date.
Additionally, the study identified 43 potential genes involved in fiber development, providing a valuable list of candidate genes to guide future breeding efforts.
This breakthrough highlights the transformative potential of AI in life sciences and reinforces DAMO Academy’s long-term commitment to advancing fundamental research, including a particular focus on smart agriculture.
See how DAMO’s technology empowers other industries
This article was originally published on Alizila writtern by Selina Zhang.
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