Machine Learning Reveals Crop Genome Evolution: Better Domestication Leads to Healthier Diet
10:45 - 11:10
Building 19, Hall 1
Domestication is anthropogenic evolution that fulfills mankind’s critical food demand. As such, elucidating the molecular mechanisms behind this process promotes the development of future new crops. Here we show the genome-wide introgressive region map as traces of domestication of Asian rice, by utilizing 4,587 accession genotypes with a stable outgroup species, particularly at the finest resolution through a machine learning-aided method.
The results provide a definitive answer to a long-standing controversy in plant science, and new breeding designs and practices based on the introgressive genomic map with the aim of serving healthy diet.