Plant communications
Integrating pan-genome analysis, GWAS, and interpretable machine learning to prioritize trait-associated structural variations in Setaria italica.
Wenying Wang, Tianhao Wu, Guangyu Fan, Shuai Zhang, Songyu Liu, Shuqin Jiang, Qian Cheng, Meiqi Shang, Yanfen Xu, Wenlin Zhang, Jianan Zhang, Xiangfeng Wang, Zhihai Zhao, Jun Yan
Published: 202510.1016/j.xplc.2025.101626
Abstract
Structural variations (SVs), especially presence-absence variations (PAVs), are crucial in crop domestication and trait improvement. Although pan-genome analysis provides an exhaustive view of PAVs, it is often limited by high costs and restricted sa…
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