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<p>Sweetpotato (<i>Ipomoea batatas</i>) is a genetically complex allohexaploid and a major source of calories and micronutrients in many stress-prone regions; however, it has historically lagged behind model crops in terms of genomic and molecular resources. This review synthesizes recent advances in sweetpotato proteomics, encompassing genome-enabled proteogenomics, stress physiology, storage-root development, metabolism, and postharvest biology. The advent of haplotype-resolved reference genomes, improved genome annotations, and optimized protein extraction protocols has enabled high-coverage LC–MS/MS–based workflows, including tandem mass tag–based quantification and data-independent acquisition. Together, these advances have transformed static protein catalogs into dynamic, systems-level network maps. Key discoveries include the proteomic “lignin–starch switch” underlying storage-root formation, the dual roles of sporamin and β-amylase in both storage and stress responses, and conserved stress-signaling modules that mediate cross-tolerance to heat, drought, cold, and pathogen or nematode attack. Despite these advances, several challenges remain. Matrix effects in phenolic- and starch-rich tissues, limited datasets on post-translational modifications, and the lack of single-cell and subcellular proteomic resolution collectively constrain functional interpretation and the translation of proteomic insights into breeding applications. Future priorities include the proteogenomic refinement of gene models, signaling studies centered on post-translational modifications, organelle- and tissue-resolved proteomics, and the integration of proteomics with multi-omics datasets and quantitative genetics. Such efforts will facilitate the identification of proteomic biomarkers for precision breeding in sweetpotato.</p>

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Decoding the sweetpotato proteome: proteogenomic insights into development, metabolism, and stress responses

  • 期刊论文

  • 发表日期：

    2026年5月13日

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  • Jeung Joo Lee,
  • Yun-Hee Kim

摘要

Sweetpotato (Ipomoea batatas) is a genetically complex allohexaploid and a major source of calories and micronutrients in many stress-prone regions; however, it has historically lagged behind model crops in terms of genomic and molecular resources. This review synthesizes recent advances in sweetpotato proteomics, encompassing genome-enabled proteogenomics, stress physiology, storage-root development, metabolism, and postharvest biology. The advent of haplotype-resolved reference genomes, improved genome annotations, and optimized protein extraction protocols has enabled high-coverage LC–MS/MS–based workflows, including tandem mass tag–based quantification and data-independent acquisition. Together, these advances have transformed static protein catalogs into dynamic, systems-level network maps. Key discoveries include the proteomic “lignin–starch switch” underlying storage-root formation, the dual roles of sporamin and β-amylase in both storage and stress responses, and conserved stress-signaling modules that mediate cross-tolerance to heat, drought, cold, and pathogen or nematode attack. Despite these advances, several challenges remain. Matrix effects in phenolic- and starch-rich tissues, limited datasets on post-translational modifications, and the lack of single-cell and subcellular proteomic resolution collectively constrain functional interpretation and the translation of proteomic insights into breeding applications. Future priorities include the proteogenomic refinement of gene models, signaling studies centered on post-translational modifications, organelle- and tissue-resolved proteomics, and the integration of proteomics with multi-omics datasets and quantitative genetics. Such efforts will facilitate the identification of proteomic biomarkers for precision breeding in sweetpotato.