基于分子生物学的大麦籽粒淀粉形成机理模型构建  

Model Construction of Starch Formation Mechanism in Barley Grains Based on Molecular Biology

作　　者：徐寿军[1] 王金波 李建波 XU Shoujun;WANG Jinbo;LI Jianbo(College of Agriculture,Inner Mongolia Minzu University,Tongliao 028043,China)

机构地区：[1]内蒙古民族大学农学院,内蒙古通辽028043

出　　处：《内蒙古民族大学学报(自然科学版)》2025年第2期43-52,共10页Journal of Inner Mongolia Minzu University:Natural Sciences Edition

基　　金：国家自然科学基金项目(31760357);内蒙古自治区直属高校基本科研业务费项目(GXKY22053)。

摘　　要：以蒙啤3号、甘啤4号、蒙啤5号、垦啤7号等4个大麦品种为试材,研究不同氮肥(设0,90,180,270 kg/hm2纯氮共4个处理)、密度(设375万、450万、525万、600万株/hm2共4个处理)、水分(分别为田间最大持水量的20%,40%,60%和80%)处理下,灌浆期淀粉积累量、蔗糖积累量、淀粉合成相关酶活性及基因相对表达量的动态变化规律。在系统分析籽粒淀粉积累量和蔗糖积累量与HvAGPase,HvStS和HvSBE基因相对表达量相关关系基础上,以ADP-葡萄糖焦磷酸化酶(ADP-glucose pyrophosphorylase polypeptide,AGPase)、淀粉合成酶(Starch synthase,StS)和淀粉分支酶(Starch branching enzyme,SBE)等调控淀粉形成的关键酶基因(HvAGPase,HvStS和HvSBE)相对表达量为主线,从分子生物学角度构建大麦籽粒淀粉形成机理模型。模型检验结果表明,模拟值与观测值的绝对预测误差为5.13~18.99 g/m2,均方根误差(RMSE)、相对均方根误差(RRMSE)、模型效率(EF)和剩余系数(CRM)等指数分别为10.4214 g/m2,0.4312,-0.0046和0.9981。该模型表现出较好的机理性和预测性。This study investigates the dynamic changes in starch accumulation,sucrose accumulation,activities of starch synthesis-related enzymes,and relative expression levels of key genes during the grain filling period of four barley varieties(Mengpi 3,Ganpi 4,Mengpi 5,and Kenpi 7)under varying nitrogen fertilizer rates(0,90,180 and 270 kg/hm²pure nitrogen),planting densities(3.75,4.50,5.25 and 6.00 million plants/hm²),and soil water contents(20%,40%,60%and 80%of field maximum water holding capacity).Through systematic analysis of correlations between starch accumulation,sucrose accumulation,and the relative expression levels of HvAGPase,HvStS and HvSBE,a molecular biology-based model of starch formation in barley grains was constructed.The model focuses on the relative expression levels of genes encoding key enzymes regulating starch formation,namely ADP-glucose pyrophosphorylase polypeptide(AGPase),starch synthase(StS),and starch branching enzyme(SBE).Model validation results showed an absolute prediction error of 5.13-18.99 g/m²,with root mean square error(RMSE)of 10.4214 g/m2,relative root mean square error(RRMSE)of 0.4312,model efficiency(EF)of-0.0046,and residual coefficient(CRM)of 0.9981,indicating good mechanistic accuracy and predictive capability.

关 键 词：大麦 淀粉 分子生物学 模型 

分 类 号：S512.3[农业科学—作物学]