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PubMed2026

Research Progress in the Cytogenetics of Sweetpotato and Its Wild Relatives.

Cultivated sweetpotato (Ipomoea batatas (L.) Lam.), a hexaploid (2n = 6x = 90) crop, is the most economically important species within the morning glory genus Ipomoea (Convolvulaceae). Fourteen diploid Ipomoea species and several polyploid accessions have been confirmed to be closely related to sweetpotato, often termed its wild relatives. These wild species harbor abundant elite genes beneficial to sweetpotato improvement and thereby serve as indispensable germplasm reservoirs for breeding programs. In addition, several wild taxa are proposed as potential ancestors of domesticated sweetpotato. Nevertheless, the evolutionary origin and genomic architecture of cultivated sweetpotato have not yet been fully resolved. Cytological investigations, particularly chromosome karyotyping and meiotic pairing analyses, have been pivotal in unravelling the genomic architecture and evolutionary trajectories of polyploid taxa. Herein, we systematically summarize advances in chromosome counting, genome size, karyotyping, and meiotic pairing research on sweetpotato and its wild relatives.

Ipomoea↗
PubMed2026

A Meta-learning-driven strategy for adulteration detection in sweet potato starch and vermicelli using Raman spectroscopy.

To address the widespread adulteration of sweet potato starch and its vermicelli with cheaper starches and overcome conventional supervised learning's dependency on large labeled datasets, this study developed a few-shot discrimination method integrating Raman spectroscopy with meta-learning. We constructed a meta-learning framework using cassava- and wheat-adulterated sweet potato starch as the source domain for training, with potato-adulterated sweet potato starch and cassava-adulterated sweet potato vermicelli as two target domains for testing. Raman spectra showed high consistency between sweet potato vermicelli and its raw starch, laying the foundation for cross-domain detection. Testing yielded comprehensive classification accuracies of 95.33% and 98.00% for the two target domains, significantly outperforming SVM, RF, and CNN (max. 85.24%). This approach effectively identifies subtle starch variety differences in complex adulteration, providing novel food quality inspection solutions and verifying the feasibility of raw material-to-finished product cross-domain detection.

Ipomoea batatas↗