Transcriptome Insights into Carbohydrate Metabolism and Frying Quality Traits in Waxy and Mealy Potatoes

The fried potato market is a high-value industry, exceeding USD 55 billion and still growing. However, the genetic mechanisms underlying key frying traits remain poorly understood. In this study, we conducted a transcriptome analysis on two types of potatoes with distinct end-use purposes to identif...

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Main Authors: Jeong-Jin Choi, Do-Hee Kwon, Jang-Gyu Choi, Gyu-Bin Lee, Jae-Youn Yi, Hui-Tae Lee, Hong-Sik Won, Young-Eun Park, Yong-Ik Jin, Dong-Chil Chang, Kwang-Soo Cho
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agronomy
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Online Access:https://www.mdpi.com/2073-4395/15/6/1430
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Summary:The fried potato market is a high-value industry, exceeding USD 55 billion and still growing. However, the genetic mechanisms underlying key frying traits remain poorly understood. In this study, we conducted a transcriptome analysis on two types of potatoes with distinct end-use purposes to identify the gene expression profiles related to desirable frying qualities, focusing on texture and appearance after frying. Key genes encoding starch synthase 1 and 3, sucrose synthase 4, invertases, and pectin methyl-esterase inhibitors were found to be differentially regulated in waxy and mealy potatoes based on their frying characteristics. Notably, mealy potatoes exhibited a higher expression of starch synthesis-related genes and a lower expression of invertase genes. These expression patterns may enhance glucose-to-starch conversion, thereby reducing glucose levels and minimizing sugar-induced browning, which results in a lighter fried appearance. Additionally, we identified two transcription factors, StbZIP2 and StbZIP35, that are potentially co-expressed with two starch synthases. These transcription factors are responsive to abscisic acid, a key hormonal regulator involved in tuber development. This study provides transcriptomic insights for processing quality improvement and identifies key candidate genes for marker-assisted breeding. Further studies across more diverse samples with integrative multi-omics approaches will strengthen the application of these insights in breeding programs.
ISSN:2073-4395