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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
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.
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.
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