• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

小麦籽粒元素含量的遗传特性及其基因组预测:迈向对阿富汗小麦地方品种的有效利用

Genetic Nature of Elemental Contents in Wheat Grains and Its Genomic Prediction: Toward the Effective Use of Wheat Landraces from Afghanistan.

作者信息

Manickavelu Alagu, Hattori Tomohiro, Yamaoka Shuhei, Yoshimura Kazusa, Kondou Youichi, Onogi Akio, Matsui Minami, Iwata Hiroyoshi, Ban Tomohiro

机构信息

Plant Genetic Resources Division, Kihara Institute for Biological Research, Yokohama City University, Yokohama, Kanagawa, Japan.

Department of Genomic Science, Central University of Kerala, Riverside Transit Campus, Kerala, India.

出版信息

PLoS One. 2017 Jan 10;12(1):e0169416. doi: 10.1371/journal.pone.0169416. eCollection 2017.

DOI:10.1371/journal.pone.0169416
PMID:28072876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5224831/
Abstract

Profiling elemental contents in wheat grains and clarifying the underlying genetic systems are important for the breeding of biofortified crops. Our objective was to evaluate the genetic potential of 269 Afghan wheat landraces for increasing elemental contents in wheat cultivars. The contents of three major (Mg, K, and P) and three minor (Mn, Fe, and Zn) elements in wheat grains were measured by energy dispersive X-ray fluorescence spectrometry. Large variations in elemental contents were observed among landraces. Marker-based heritability estimates were low to moderate, suggesting that the elemental contents are complex quantitative traits. Genetic correlations between two locations (Japan and Afghanistan) and among the six elements were estimated using a multi-response Bayesian linear mixed model. Low-to-moderate genetic correlations were observed among major elements and among minor elements respectively, but not between major and minor elements. A single-response genome-wide association study detected only one significant marker, which was associated with Zn, suggesting it will be difficult to increase the elemental contents of wheat by conventional marker-assisted selection. Genomic predictions for major elemental contents were moderately or highly accurate, whereas those for minor elements were mostly low or moderate. Our results indicate genomic selection may be useful for the genetic improvement of elemental contents in wheat.

摘要

分析小麦籽粒中的元素含量并阐明其潜在的遗传系统对于生物强化作物的育种至关重要。我们的目标是评估269份阿富汗小麦地方品种在提高小麦品种元素含量方面的遗传潜力。通过能量色散X射线荧光光谱法测定了小麦籽粒中三种主要元素(镁、钾和磷)和三种微量元素(锰、铁和锌)的含量。在地方品种中观察到元素含量存在很大差异。基于标记的遗传力估计值低至中等,表明元素含量是复杂的数量性状。使用多响应贝叶斯线性混合模型估计了两个地点(日本和阿富汗)之间以及六种元素之间的遗传相关性。主要元素之间和微量元素之间分别观察到低至中等的遗传相关性,但主要元素和微量元素之间没有观察到。单响应全基因组关联研究仅检测到一个与锌相关的显著标记,这表明通过传统的标记辅助选择提高小麦的元素含量将很困难。主要元素含量的基因组预测具有中等或高度准确性,而微量元素的预测大多较低或中等。我们的结果表明基因组选择可能有助于小麦元素含量的遗传改良。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/f3ed682b0f08/pone.0169416.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/a6aaf75d77fb/pone.0169416.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/30ff3afc267e/pone.0169416.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/2f54b2ed3947/pone.0169416.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/f3ed682b0f08/pone.0169416.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/a6aaf75d77fb/pone.0169416.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/30ff3afc267e/pone.0169416.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/2f54b2ed3947/pone.0169416.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ee7/5224831/f3ed682b0f08/pone.0169416.g004.jpg

相似文献

1
Genetic Nature of Elemental Contents in Wheat Grains and Its Genomic Prediction: Toward the Effective Use of Wheat Landraces from Afghanistan.小麦籽粒元素含量的遗传特性及其基因组预测:迈向对阿富汗小麦地方品种的有效利用
PLoS One. 2017 Jan 10;12(1):e0169416. doi: 10.1371/journal.pone.0169416. eCollection 2017.
2
Molecular evaluation of orphan Afghan common wheat (Triticum aestivum L.) landraces collected by Dr. Kihara using single nucleotide polymorphic markers.利用单核苷酸多态性标记对ihara博士收集的阿富汗普通小麦(Triticum aestivum L.)地方品种进行分子评估。
BMC Plant Biol. 2014 Nov 29;14:320. doi: 10.1186/s12870-014-0320-5.
3
A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars.一种经典的方法,用于确定小麦地方品种和栽培品种在终末干旱胁迫和充分供水条件下的基因组预测准确性。
PLoS One. 2021 Mar 5;16(3):e0247824. doi: 10.1371/journal.pone.0247824. eCollection 2021.
4
Genetic Diversity and Population Structure Analysis of L. Landrace Panel from Afghanistan.阿富汗兰德瑞斯猪群体遗传多样性及群体结构分析。
Genes (Basel). 2021 Feb 25;12(3):340. doi: 10.3390/genes12030340.
5
Joint Use of Genome, Pedigree, and Their Interaction with Environment for Predicting the Performance of Wheat Lines in New Environments.利用基因组、系谱及其与环境的相互作用预测小麦新品系在新环境中的表现。
G3 (Bethesda). 2019 Sep 4;9(9):2925-2934. doi: 10.1534/g3.119.400508.
6
A genome-wide association study of 23 agronomic traits in Chinese wheat landraces.中国小麦地方品种23个农艺性状的全基因组关联研究。
Plant J. 2017 Sep;91(5):861-873. doi: 10.1111/tpj.13614. Epub 2017 Jul 27.
7
Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.).定位小麦(Triticum aestivum L.)在终末期干旱和热胁迫条件下与农艺和生理性状相关的数量性状位点
Genome. 2017 Jan;60(1):26-45. doi: 10.1139/gen-2016-0017. Epub 2016 Sep 15.
8
Exotic QTL improve grain quality in the tri-parental wheat population SW84.外来QTL提高了三亲本小麦群体SW84的籽粒品质。
PLoS One. 2017 Jul 7;12(7):e0179851. doi: 10.1371/journal.pone.0179851. eCollection 2017.
9
Enabling Molecular Technologies for Trait Improvement in Wheat.利用分子技术改良小麦性状
Methods Mol Biol. 2017;1679:3-24. doi: 10.1007/978-1-4939-7337-8_1.
10
High-density molecular characterization and association mapping in Ethiopian durum wheat landraces reveals high diversity and potential for wheat breeding.埃塞俄比亚硬粒小麦地方品种的高密度分子特征分析与关联图谱构建揭示了其高度多样性及在小麦育种中的潜力。
Plant Biotechnol J. 2016 Sep;14(9):1800-12. doi: 10.1111/pbi.12538. Epub 2016 Feb 8.

引用本文的文献

1
Genome-Wide Association Study of Grain Manganese Content in Bread Wheat ( L.) Under Four Environments.四种环境下面包小麦(L.)籽粒锰含量的全基因组关联研究
Food Sci Nutr. 2025 Apr 11;13(4):e70170. doi: 10.1002/fsn3.70170. eCollection 2025 Apr.
2
Stable pleotropic loci controlling the accumulation of multiple nutritional elements in wheat.控制小麦多种营养元素积累的稳定多效性位点。
Theor Appl Genet. 2025 Apr 9;138(5):95. doi: 10.1007/s00122-025-04877-0.
3
Genome-Wide Association Mapping of Macronutrient Mineral Accumulation in Wheat ( L.) Grain.

本文引用的文献

1
Analysis of grain elements and identification of best genotypes for Fe and P in Afghan wheat landraces.阿富汗小麦地方品种中谷物元素分析及铁和磷最佳基因型鉴定
Breed Sci. 2016 Dec;66(5):676-682. doi: 10.1270/jsbbs.16041. Epub 2016 Aug 23.
2
Genomic prediction for grain zinc and iron concentrations in spring wheat.春小麦籽粒锌和铁含量的基因组预测
Theor Appl Genet. 2016 Aug;129(8):1595-605. doi: 10.1007/s00122-016-2726-y. Epub 2016 May 11.
3
Integration of Experiments across Diverse Environments Identifies the Genetic Determinants of Variation in Sorghum bicolor Seed Element Composition.
小麦(L.)籽粒中大量营养元素矿物质积累的全基因组关联图谱分析
Plants (Basel). 2024 Dec 11;13(24):3472. doi: 10.3390/plants13243472.
4
Biofortification of Triticum species: a stepping stone to combat malnutrition.小麦物种的生物强化:应对营养不良的踏脚石。
BMC Plant Biol. 2024 Jul 15;24(1):668. doi: 10.1186/s12870-024-05161-x.
5
Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning.利用高通量表型分析和深度学习提高冬小麦育种中表型组学和基因组预测的潜力。
Front Plant Sci. 2024 May 30;15:1410249. doi: 10.3389/fpls.2024.1410249. eCollection 2024.
6
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding.回顾远程表型分析、全基因组关联研究(GWAS)以及可解释人工智能在耐旱冬小麦育种实际标记辅助选择中的重要作用。
Front Plant Sci. 2024 Apr 18;15:1319938. doi: 10.3389/fpls.2024.1319938. eCollection 2024.
7
Investigating genomic prediction strategies for grain carotenoid traits in a tropical/subtropical maize panel.研究热带/亚热带玉米群体中谷物类胡萝卜素性状的基因组预测策略。
G3 (Bethesda). 2024 May 7;14(5). doi: 10.1093/g3journal/jkae044.
8
Genetic analysis of iron, zinc and grain yield in wheat-Aegilops derivatives using multi-locus GWAS.利用多位点 GWAS 对小麦-冰草衍生材料的铁、锌和粒重的遗传分析。
Mol Biol Rep. 2023 Nov;50(11):9191-9202. doi: 10.1007/s11033-023-08800-y. Epub 2023 Sep 30.
9
Molecular mechanisms controlling grain size and weight and their biotechnological breeding applications in maize and other cereal crops.控制粒长、粒宽的分子机制及其在玉米和其他谷类作物中的生物技术育种应用。
J Adv Res. 2024 Aug;62:27-46. doi: 10.1016/j.jare.2023.09.016. Epub 2023 Sep 21.
10
Genetic and genomic interventions in crop biofortification: Examples in millets.作物生物强化中的遗传和基因组干预:谷子实例
Front Plant Sci. 2023 Mar 6;14:1123655. doi: 10.3389/fpls.2023.1123655. eCollection 2023.
跨不同环境的实验整合确定了双色高粱种子元素组成变异的遗传决定因素。
Plant Physiol. 2016 Apr;170(4):1989-98. doi: 10.1104/pp.15.01971. Epub 2016 Feb 19.
4
Toward integration of genomic selection with crop modelling: the development of an integrated approach to predicting rice heading dates.朝着基因组选择与作物模型的整合迈进:开发一种预测水稻抽穗期的综合方法。
Theor Appl Genet. 2016 Apr;129(4):805-817. doi: 10.1007/s00122-016-2667-5. Epub 2016 Jan 20.
5
A simulation-based breeding design that uses whole-genome prediction in tomato.一种基于模拟的育种设计,该设计在番茄中使用全基因组预测。
Sci Rep. 2016 Jan 20;6:19454. doi: 10.1038/srep19454.
6
Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines.水稻(Oryza sativa)的基因组选择与关联图谱分析:性状遗传结构、训练群体组成、标记数量及统计模型对优质热带水稻育种系基因组选择准确性的影响
PLoS Genet. 2015 Feb 17;11(2):e1004982. doi: 10.1371/journal.pgen.1004982. eCollection 2015 Feb.
7
Genomic selection accuracies within and between environments and small breeding groups in white spruce.白云杉不同环境及小育种群体内部和之间的基因组选择准确性
BMC Genomics. 2014 Dec 2;15(1):1048. doi: 10.1186/1471-2164-15-1048.
8
Molecular evaluation of orphan Afghan common wheat (Triticum aestivum L.) landraces collected by Dr. Kihara using single nucleotide polymorphic markers.利用单核苷酸多态性标记对ihara博士收集的阿富汗普通小麦(Triticum aestivum L.)地方品种进行分子评估。
BMC Plant Biol. 2014 Nov 29;14:320. doi: 10.1186/s12870-014-0320-5.
9
Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.).探索全基因组预测方法在亚洲水稻(Oryza sativa L.)中的适用领域。
Theor Appl Genet. 2015 Jan;128(1):41-53. doi: 10.1007/s00122-014-2411-y. Epub 2014 Oct 24.
10
Genomic selection: genome-wide prediction in plant improvement.基因组选择:植物改良中的全基因组预测。
Trends Plant Sci. 2014 Sep;19(9):592-601. doi: 10.1016/j.tplants.2014.05.006. Epub 2014 Jun 23.