Waxy gene deficiency shapes the multi-level wheat starch structure and noodle quality
Year: 2026
Type: article
Abstract: The role of Wx alleles in amylose biosynthesis is well-established; however, how Wx deficiency triggers hierarchical changes in starch structure and consequently affects noodle quality is still poorly understood. Here, analysis of near-isogenic lines (NILs) revealed that Wx deficiency preferentially increases the proportion of short amylopectin chains (DP 6-24) and shifts granule size distribution toward smaller B-type granules. Although complete Wx deletion (BBB genotype) enhanced starch crystallinity and enthalpy, it concomitantly led to an undesirable decrease in paste viscosity. In contrast, partial deletion (e.g., ABA) yielded noodles with a superior soft-yet-springy texture, marked by significantly improved springiness and chewiness without excessive hardness. This optimal texture is attributed to a higher proportion of short amylopectin chains (DP 6-24) coupled with a lower proportion of long amylose chains (DP > 500). This work demonstrates targeted manipulation of Wx alleles can engineer starch multi-level structure for specific end-use quality, moving beyond conventional amylose-centric breeding strategies.
Source: Carbohydrate Polymers
Authors: Fada Han, Shuo Zhang, Liqiang Song, Liang Chen, Maria Itria Ibba, Aimin Zhang, Boli Guo, Ming Li, Dongcheng Liu
Language: English
Subfield: Nutrition and Dietetics
Field: Nursing
Domain: Health Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $5,340
Funders: Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation of Hebei Province, Chinese Academy of Agricultural Sciences, Hebei Provincial Department of Bureau of Science and Technology, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Hebei Agricultural University, National Key Research and Development Program of China, Agricultural Science and Technology Innovation Program
Awards: G2238272962, G3387303507, G8302588224
OpenAlex ID: W7135174851
