中国农业科学 ›› 2025, Vol. 58 ›› Issue (15): 2948-2959.doi: 10.3864/j.issn.0578-1752.2025.15.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

新疆冬小麦品种资源蛋白组分及品质的遗传多样性

刘鹏鹏(), 李江博, 徐红军, 聂迎彬, 韩新年, 孔德真, 桑伟*()   

  1. 新疆农垦科学院作物研究所/谷物品质与遗传改良兵团重点实验室,新疆石河子 832000
  • 收稿日期:2025-02-17 接受日期:2025-04-08 出版日期:2025-08-01 发布日期:2025-07-30
  • 通信作者:
    桑伟,E-mail:
  • 联系方式: 刘鹏鹏,E-mail:nkylpp@163.com。
  • 基金资助:
    兵团财政科技计划(2024DB010); 国家自然科学基金(31560391); 兵团农业攻关项目(NYHXG2023AA201); 新疆维吾尔自治区重点研发计划(2024B02007-3-4); 新疆农垦科学院创新工程(NCG202305)

Genetic Diversity Analysis of Protein Fractions and Quality in Xinjiang Winter Wheat Cultivar Resources

LIU PengPeng(), LI JiangBo, XU HongJun, NIE YingBin, HAN XinNian, KONG DeZhen, SANG Wei*()   

  1. Institute of Crop Science, Xinjiang Academy of Agricultural and Reclamation Science/Key Lab of Xinjiang Production and Construction Corps for Cereal Quality Research and Genetic Improvement, Shihezi 832000, Xinjiang
  • Received:2025-02-17 Accepted:2025-04-08 Published:2025-08-01 Online:2025-07-30

摘要:

【目的】 分析新疆小麦品种资源蛋白质品质性状和贮藏蛋白组分的遗传多样性及其关系,为拓宽新疆小麦品种资源的遗传基础及育种的亲本选配和品种选育提供优质亲本材料。【方法】 以303份新疆小麦品种资源为材料,对其蛋白质品质性状和贮藏蛋白组分含量进行变异、相关及聚类分析,并计算其遗传多样性指数(H ')和隶属函数值,对供试材料进行综合评价。【结果】 新疆小麦品种资源蛋白质品质性状和贮藏蛋白组分含量的变异系数范围分别为5.52%—60.99%和9.17%—23.69%,变异系数最大的为8分钟宽度;贮藏蛋白组分含量的变异系数最大为不溶性谷蛋白聚合体含量(UPP);遗传多样性指数分别为1.06—2.15,平均为1.78,其中,面筋指数最大,为2.15,峰值时间最小,为1.06。相关分析、多元回归分析表明,综合评价值(F15)可以评价蛋白品质(面筋质量)的优劣;面筋指数(GI)、峰值时间(PT)、8分钟宽度(8 min width)、沉淀值(SV)和不溶性谷蛋白聚合体含量(UPP)指标是评价蛋白品质的重要性状,可在今后的育种中加以应用。经聚类分析,将303份小麦品种资源分为三类,所占比例分别为15.84%、43.23%和40.92%,3个类群中,第Ⅰ类群的综合评价值表现最高,品质指标表现最优,其中,不溶性谷蛋白聚合体百分含量(%UPP)、不溶性谷蛋白聚合体含量(UPP)、面筋指数(GI)、峰值时间(PT)、8分钟宽度(8 min width)、8分钟面积(8 min area)、沉淀值(SV)等7个指标的平均值均显著最高,表明通过F15评价面筋质量的优劣是可靠的。【结论】 明确了新疆冬小麦品种资源蛋白质品质性状和贮藏蛋白组分指标的遗传多样性分布特点及关系,筛选出评价蛋白质品质的重要性状,基于综合评价值(F15)筛选出一批贮藏蛋白组分与小麦蛋白质品质性状综合表现优异的资源,可在今后的育种中加以利用。

关键词: 小麦, 蛋白质品质性状, 蛋白组分, 遗传多样性, 聚类分析

Abstract:

【Objective】 To provide high-quality parental materials for broadening the genetic foundation of Xinjiang wheat resources as well as parental selection and cultivar development in breeding programs, the genetic diversity and relationships of protein quality traits and storage protein components in Xinjiang wheat germplasm resources were analyzed in this study. 【Method】 A total of 303 Xinjiang wheat accessions were evaluated for variation, correlation, and cluster analysis of protein quality traits and storage protein component contents. Genetic diversity indices (H') and membership function values were calculated to comprehensively assess the materials.【Result】 The coefficients of variation (CV) for protein quality traits and storage protein component contents in Xinjiang wheat resources ranged from 5.52% to 60.99% and 9.17% to 23.69%, respectively. The highest CV for protein quality traits was observed in 8-minute width (60.99%), while the highest CV for storage protein components was found in unextractable polymeric protein (UPP, 23.69%). Genetic diversity indices ranged from 1.06 to 2.15 with an average of 1.78. In addition, the gluten index (GI) exhibiting the highest value (2.15) and peak time (PT) the lowest (1.06). Correlation and multiple regression analyses demonstrated that the comprehensive evaluation value (F15) effectively assessed protein quality (gluten quality). Key traits for protein quality evaluation included gluten index (GI), peak time (PT), 8 minute width, sedimentation value (SV), and unextractable polymeric protein (UPP), which are applicable for future breeding applications. Cluster analysis classified the 303 accessions into three groups (15.84%, 43.23%, and 40.92%, respectively). Group I exhibited the highest comprehensive evaluation value (F15) and optimal quality indices, with significantly superior means for seven parameters, including percentage of unextractable polymeric protein (%UPP), unextractable polymeric protein (UPP), gluten index (GI), peak time (PT), 8 minute width, 8 minute area, and sedimentation value (SV). This confirmed the reliability of F15 in evaluating gluten quality. 【Conclusion】 The genetic diversity distribution patterns and relationships of protein quality traits and storage protein components in Xinjiang winter wheat resources were elucidated. Critical traits for protein quality evaluation were identified, and a set of accessions with superior comprehensive performance in storage protein components and protein quality traits were selected based on F15. These resources hold significant potential for utilization in future wheat breeding programs of Xinjiang.

Key words: wheat, protein quality trait, protein fraction, genetic diversity, cluster analysis