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Related Experiment Video

Updated: Jan 17, 2026

Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
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Next-generation translational genomics for developing future crops.

Udita Basu1,2, Swarup K Parida3

  • 1Biological Sciences and Technology Division, CSIR-North East Institute of Science and Technology, Jorhat, 785006, Assam, India. uditabasu@neist.res.in.

Functional & Integrative Genomics
|September 23, 2025
PubMed
Summary

Next-generation translational genomics integrates multi-omics data for faster crop improvement. Advanced tools like pan-genomes and single-cell transcriptomics accelerate trait discovery, leading to adaptable, high-yielding crop varieties.

Keywords:
Artificial intelligenceGenome editingMapping populationPangenomeQTL/eQTLSpeed breeding

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Area of Science:

  • Agricultural Science
  • Genomics
  • Bioinformatics

Background:

  • Traditional crop breeding is being transformed by translational genomics.
  • Next-generation strategies integrate genomic, transcriptomic, and phenotypic data for enhanced crop improvement.

Purpose of the Study:

  • To review modern translational genomics approaches.
  • To highlight innovations accelerating crop breeding and trait discovery.

Main Methods:

  • Shift from single genomes to pan-genomes for diversity.
  • Transition from bulk to single-cell transcriptomics for gene regulation insights.
  • Utilizing high-throughput genotyping, phenotyping, AI, and machine learning.

Main Results:

  • Pan-genomes capture intraspecific diversity more effectively.
  • Single-cell transcriptomics provide cell-specific gene regulation insights.
  • AI-enabled phenotyping enables large-scale data collection from field trials.

Conclusions:

  • Integrative pipelines unify next-generation approaches for faster, precise crop improvement.
  • These advancements are crucial for developing sustainable, future-ready crop varieties.
  • Modern translational genomics addresses agricultural challenges by accelerating trait discovery and mapping.