鲜食大豆甜味品质鼓粒初期预测模型构建及其生理基础

    Construction of a Prediction Model for Sweetness Quality in Vegetable Soybean During the Early Seed Filling Stage and Its Physiological Basis

    • 摘要:
      目的 筛选可用于鲜食大豆甜味品质鼓粒初期评价的关键糖代谢指标,构建甜味品质评价方法,并阐明其生理基础。
      方法 以9个江苏省淮北地区主栽鲜食大豆品种为材料,测定R5.5期(鲜籽粒扁且未充满整个豆荚)叶片、荚壳、种皮和胚中20个糖代谢指标和R6.2期(鲜籽粒充满整个豆荚且饱满)籽粒甜味感官分值,通过相关分析和逐步回归构建甜味品质预测模型并验证精度,且进一步结合通径分析与动态变化分析,分析关键指标对甜味的调控特征。
      结果 基于R5.5期不同器官糖代谢指标建立的籽粒甜味品质预测模型为:甜味值=0.078+0.029×叶片蔗糖磷酸合成酶(SPS)活性-0.162×荚壳淀粉含量-0.051×荚壳蔗糖合成酶(SuSy)活性+0.049×种皮细胞壁结合酸性转化酶(CWIN)活性+0.081×胚SPS活性。该模型决定系数(R2)为0.9660,且模型预测值与实测值拟合度良好(R2=0.9657)。通径分析表明,胚SPS活性(0.4926)、叶片SPS活性(0.3652)和种皮CWIN活性(0.2708)对甜味正向直接效应最大,构成“源-流-库”正向驱动路径;荚壳淀粉含量(-0.4189)和荚壳SuSy活性(-0.2915)表现为负向直接效应,发挥碳流分配调节作用。动态变化显示,胚SPS活性、种皮CWIN活性与胚蔗糖含量均于R6.2期达到峰值;荚壳淀粉含量和荚壳SuSy活性持续下降,与胚蔗糖积累形成动态关联。
      结论 构建了基于R5.5期多器官糖代谢指标甜味品质预测模型,经独立样本验证,证实该模型可精准预测R6.2期籽粒甜味品质。该方法将评价时间前移至鼓粒初期,可为解决鲜食大豆育种效率低与产销协同难的问题提供技术支撑。研究明确“源-流-库”协同驱动与荚壳淀粉降解在甜味形成中的作用,为该技术的应用奠定生理基础。

       

      Abstract:
      Objective This study aimed to screen key sugar metabolism indicators for evaluating sweetness quality in vegetable soybean during the early seed filling stage, thereby establishing an evaluation system and clarifying its physiological basis.
      Method Nine vegetable soybean varieties predominantly cultivated in the Huaibei region of Jiangsu Province were used as materials. Twenty sugar metabolism-related indicators in leaves, podshells, seed coats, and embryos were measured at the R5.5 stage (characterized by flat fresh seeds that had not yet fully filled the pods), and sweetness sensory scores were evaluated at the R6.2 stage (when fresh seeds fully filled the pods and were plump). A sweetness prediction model was constructed using correlation analysis and stepwise regression, and its accuracy was validated. Furthermore, path analysis and dynamic changes analysis were employed to elucidate the regulatory characteristics of key indicators on sweetness.
      Result The prediction model for seed sweetness established based on sugar metabolism indicators in different organs at the R5.5 stage, was: Sweetness value=0.078+0.029×Leaf sucrose phosphate synthase (SPS) activity-0.162×Podshell starch content-0.051×Podshell sucrose synthase (SuSy) activity+0.049×Seed coat cell wall-bound invertase (CWIN) activity+0.081×Embryo SPS activity. The coefficient of determination (R2) of the model was 0.9660, and the predicted values fitted well with the measured values (R2=0.9657). Path analysis revealed that embryo SPS activity (0.4926), leaf SPS activity (0.3652), and seed coat CWIN activity (0.2708) exhibited the strongest positive direct effects on sweetness, constituting a positive "source-flow-sink" driving pathway. Conversely, podshell starch content (−0.4189) and podshell SuSy activity (−0.2915) showed negative direct effects, acting as regulators of carbon flux distribution. Dynamic analysis indicated that embryo SPS activity, seed coat CWIN activity, and embryo sucrose content peaked synchronously at the R6.2 stage, while podshell starch content and podshell SuSy activity decreased continuously throughout seed filling, showing a dynamic correlation with embryo sucrose accumulation.
      Conclusion This study constructed a predictive model for sweet taste quality based on multi-organ sugar metabolism indicators at the R5.5 stage. Through validation with an independent sample, it was confirmed that the model can accurately predict the sweet taste quality of seeds at the R6.2 stage. This method shifts the evaluation time forward to the early stage of seed filling, providing technical support for addressing the challenges of low breeding efficiency and inefficient production-marketing coordination in vegetable soybean. The study clarifies the roles of "source-flow-sink" synergistic driving and podshell starch degradation in sweet taste formation, laying a physiological foundation for the application of this technology.