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Tomato leaf curl New Delhi virus (ToLCNDV) is a highly adaptable bipartite begomovirus causing severe yield losses in solanaceous and cucurbitaceous crops across Asia, the Mediterranean, and beyond. Its wide host range, efficient whitefly transmission, and recombination-driven genetic diversity complicate management. This chapter synthesizes advances in omics-based approaches—genomics, transcriptomics, proteomics, metabolomics, lipidomics, epigenomics, and small RNA profiling that have elucidated ToLCNDV’s molecular mechanisms of infection, host responses, and evolutionary dynamics. Genomic studies reveal recombination hotspots, phylogeographic patterns, and population structure, while transcriptomic and proteomic analyses identify defense-related pathways, viral suppressors of RNA silencing, and host–virus protein interactions. Metabolomic and lipidomic profiling uncover shifts in primary and secondary metabolism, hormone signaling, and membrane composition, and epigenomic research highlights viral manipulation of DNA methylation and histone modifications. Small RNA studies demonstrate the role of RNA silencing in antiviral defense and viral counter-defense strategies. Integration of multi-omics datasets through systems biology enables the identification of key regulatory hubs and predictive biomarkers, informing genome editing, RNAi-based biopesticides, and molecular breeding for durable resistance. The chapter emphasizes translational applications, challenges in field deployment, and the potential of artificial intelligence-assisted omics integration to develop predictive and preventive ToLCNDV management strategies.

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Omics-Based Approaches in Deciphering Molecular Mechanisms of Tomato Leaf Curl New Delhi Virus Infection

  • 章节

  • 发表日期：

    2026年

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  • Ravinder Kumar,
  • Rahul Kumar Tiwari,
  • Milan Kumar Lal,
  • Ayushi Singh,
  • Jyoti Jha,
  • Vinut Anant Madival,
  • Anirban Roy,
  • Gyanendra Singh

摘要

Tomato leaf curl New Delhi virus (ToLCNDV) is a highly adaptable bipartite begomovirus causing severe yield losses in solanaceous and cucurbitaceous crops across Asia, the Mediterranean, and beyond. Its wide host range, efficient whitefly transmission, and recombination-driven genetic diversity complicate management. This chapter synthesizes advances in omics-based approaches—genomics, transcriptomics, proteomics, metabolomics, lipidomics, epigenomics, and small RNA profiling that have elucidated ToLCNDV’s molecular mechanisms of infection, host responses, and evolutionary dynamics. Genomic studies reveal recombination hotspots, phylogeographic patterns, and population structure, while transcriptomic and proteomic analyses identify defense-related pathways, viral suppressors of RNA silencing, and host–virus protein interactions. Metabolomic and lipidomic profiling uncover shifts in primary and secondary metabolism, hormone signaling, and membrane composition, and epigenomic research highlights viral manipulation of DNA methylation and histone modifications. Small RNA studies demonstrate the role of RNA silencing in antiviral defense and viral counter-defense strategies. Integration of multi-omics datasets through systems biology enables the identification of key regulatory hubs and predictive biomarkers, informing genome editing, RNAi-based biopesticides, and molecular breeding for durable resistance. The chapter emphasizes translational applications, challenges in field deployment, and the potential of artificial intelligence-assisted omics integration to develop predictive and preventive ToLCNDV management strategies.