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Updated: Jun 27, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
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Computational tools for plant genomics and breeding.

Hai Wang1,2,3, Mengjiao Chen4, Xin Wei5

  • 1State Key Laboratory of Maize Bio-breeding, Frontiers Science Center for Molecular Design Breeding, Joint International Research Laboratory of Crop Molecular Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China. wanghai@cau.edu.cn.

Science China. Life Sciences
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Plant genomics and crop breeding leverage biotechnology and data science for enhanced crop traits. Advances in omics technologies and genome design pave the way for a new era in agriculture.

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Area of Science:

  • Biotechnology and Information Technology in Plant Science
  • Genomics and Crop Improvement
  • Data Science Applications in Agriculture

Background:

  • High-throughput sequencing and omics technologies have significantly advanced plant genomics.
  • Progress spans genome assembly, annotation, epigenomics, and transcriptomics.
  • These advancements are transforming crop breeding strategies.

Purpose of the Study:

  • To explore the revolutionary impact of omics technologies on plant genomics and crop breeding.
  • To highlight key developmental directions including trait dissection, comparative genomics, and synthetic biology.
  • To establish the foundation for a new era of genome-designed crops with enhanced agronomic traits.

Main Methods:

  • Utilizing high-throughput sequencing for comprehensive omics profiling.
  • Applying data science and molecular biology techniques for genetic dissection.
  • Developing deep learning models for biological sequence design.

Main Results:

  • Significant progress in genome assembling, annotation, epigenomic, and transcriptome profiling.
  • Enabled genetic dissection of complex crop traits, genomic prediction, and selection.
  • Opened new avenues in comparative genomics for variant discovery and synthetic biology applications.

Conclusions:

  • Advances in plant genomics and omics technologies are revolutionizing crop breeding.
  • Genome design, driven by data science and biotechnology, is key to enhancing agronomic traits.
  • This integrated approach heralds a new era for sustainable agriculture and food security.