Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data.

Journal: BMC genomics
Published Date: Apr 29, 2024

Abstract

BACKGROUND: Plant specialized (or secondary) metabolites (PSM), also known as phytochemicals, natural products, or plant constituents, play essential roles in interactions between plants and environment. Although many research efforts have focused on discovering novel metabolites and their biosynthetic genes, the resolution of metabolic pathways and identified biosynthetic genes was limited by rudimentary analysis approaches and enormous number of candidate genes.

Authors

  • Wenhui Bai
    College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, 030024, China.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Hai Wang
    School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Xiaohong Han
    College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, 030024, China. hanxiaohong@tyut.edu.cn.
  • Peipei Wang
    Department of Plant Biology, Michigan State University, East Lansing, MI, USA.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.

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