INRAE, UR1268, Biopolymers, Interactions & Assemblies (BIA), 44316 Nantes, France.
CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2601, Australia.
Carbohydr Polym. 2022 Sep 1;291:119652. doi: 10.1016/j.carbpol.2022.119652. Epub 2022 May 25.
A major challenge faced when studying the "structure-degradability" interaction of native starch is deciphering the interdependency between different structural levels, especially when experimental conditions limit the number of samples. To tackle this challenge, 224 wheat starches from a 4-way multiparent advanced generation inter-cross population were screened for structural features and degradation profiles by porcine pancreatic α-amylase. A hierarchical clustering on principal components (HCPC) were used as multifactorial analysis to explore the data structure. The degradation procedure was proved to be robust and sensible enough to screen a large collection of starches. The HCPC highlighted the combined effects of granule size distribution (GSD), amylopectin chain length distribution (CLD), amylose content and endogenous α-amylase activity on degradation kinetics. Especially the GSD and amylopectin CLD showed high co-occurrences with specific hydrolysis profiles. These findings provide an innovative screening method and structural factors to be primarily considered for wheat starch selection in breeding programs.
当研究天然淀粉的“结构-降解性”相互作用时，面临的一个主要挑战是破译不同结构层次之间的相互依存关系，特别是当实验条件限制了样品数量时。为了应对这一挑战，我们通过猪胰腺α-淀粉酶筛选了来自 4 向多亲本高级世代互交群体的 224 种小麦淀粉，以研究其结构特征和降解谱。主成分的层次聚类（HCPC）被用作多因素分析来探索数据结构。降解过程被证明足够稳健和敏感，可以筛选大量的淀粉。HCPC 突出了颗粒大小分布（GSD）、支链淀粉链长分布（CLD）、直链淀粉含量和内源性α-淀粉酶活性对降解动力学的综合影响。特别是 GSD 和支链淀粉 CLD 与特定的水解谱高度共存。这些发现为小麦淀粉在选育计划中的选择提供了一种创新的筛选方法和结构因素。
