• 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

群体遗传结构与水稻铁毒性耐受的关联作图。

Population genetic structure and association mapping for iron toxicity tolerance in rice.

机构信息

Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha, India.

Department of Bio-Science and Bio-Technology, Fakir Mohan University, Balasore, Odisha, India.

出版信息

PLoS One. 2021 Mar 1;16(3):e0246232. doi: 10.1371/journal.pone.0246232. eCollection 2021.

DOI:10.1371/journal.pone.0246232
PMID:33647046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7920388/
Abstract

Iron (Fe) toxicity is a major abiotic stress which severely reduces rice yield in many countries of the world. Genetic variation for this stress tolerance exists in rice germplasms. Mapping of gene(s)/QTL controlling the stress tolerance and transfer of the traits into high yielding rice varieties are essential for improvement against the stress. A panel population of 119 genotypes from 352 germplasm lines was constituted for detecting the candidate gene(s)/QTL through association mapping. STRUCTURE, GenAlEx and Darwin softwares were used to classify the population. The marker-trait association was detected by considering both the Generalized Linear Model (GLM) and Mixed Linear Model (MLM) analyses. Wide genetic variation was observed among the genotypes present in the panel population for the stress tolerance. Linkage disequilibrium was detected in the population for iron toxicity tolerance. The population was categorized into three genetic structure groups. Marker-trait association study considering both the Generalized Linear Model (GLM) and Mixed Linear Model (MLM) showed significant association of leaf browning index (LBI) with markers RM471, RM3, RM590 and RM243. Three novel QTL controlling Fe-toxicity tolerance were detected and designated as qFeTox4.3, qFeTox6.1 and qFeTox10.1. A QTL reported earlier in the marker interval of C955-C885 on chromosome 1 is validated using this panel population. The present study showed that QTL controlling Fe-toxicity tolerance to be co-localized with the QTL for Fe-biofortification of rice grain indicating involvement of common pathway for Fe toxicity tolerance and Fe content in rice grain. Fe-toxicity tolerance QTL qFeTox6.1 was co-localized with grain Fe-biofortification QTLs qFe6.1 and qFe6.2 on chromosome 6, whereas qFeTox10.1 was co-localized with qFe10.1 on chromosome 10. The Fe-toxicity tolerance QTL detected from this mapping study will be useful in marker-assisted breeding programs.

摘要

铁(Fe)毒性是一种主要的非生物胁迫,它严重降低了世界上许多国家的水稻产量。在水稻种质资源中存在对这种胁迫耐受性的遗传变异。对控制胁迫耐受性的基因/数量性状位点(QTL)进行定位,并将这些性状转移到高产水稻品种中,对于改善这种胁迫至关重要。通过关联作图,从 352 个种质系中构建了一个由 119 个基因型组成的作图群体,以检测候选基因/QTL。STRUCTURE、GenAlEx 和 Darwin 软件用于对群体进行分类。通过考虑广义线性模型(GLM)和混合线性模型(MLM)分析,检测标记与性状的关联。在作图群体中观察到基因型对胁迫耐受性存在广泛的遗传变异。在该群体中检测到铁毒性耐受性的连锁不平衡。该群体被分为三个遗传结构组。同时考虑广义线性模型(GLM)和混合线性模型(MLM)的标记与性状关联研究表明,叶片黄化指数(LBI)与标记 RM471、RM3、RM590 和 RM243 显著相关。检测到三个控制铁毒性耐受性的新 QTL,并将其命名为 qFeTox4.3、qFeTox6.1 和 qFeTox10.1。在本研究中,使用这个作图群体验证了先前在第 1 号染色体标记区间 C955-C885 上报道的一个 QTL。本研究表明,控制铁毒性耐受性的 QTL 与水稻籽粒铁生物强化的 QTL 紧密连锁,表明铁毒性耐受性和水稻籽粒铁含量涉及共同途径。铁毒性耐受性 QTL qFeTox6.1 与第 6 号染色体上的粒铁生物强化 QTL qFe6.1 和 qFe6.2 紧密连锁,而 qFeTox10.1 与第 10 号染色体上的 qFe10.1 紧密连锁。本研究中检测到的铁毒性耐受性 QTL 将有助于标记辅助育种计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/e904e67db801/pone.0246232.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/c7aa4a0608e7/pone.0246232.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/40f33be24ae6/pone.0246232.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/8671b7be3224/pone.0246232.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/32919d73efc4/pone.0246232.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/549e6bc17585/pone.0246232.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/ec390b9111d6/pone.0246232.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/e904e67db801/pone.0246232.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/c7aa4a0608e7/pone.0246232.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/40f33be24ae6/pone.0246232.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/8671b7be3224/pone.0246232.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/32919d73efc4/pone.0246232.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/549e6bc17585/pone.0246232.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/ec390b9111d6/pone.0246232.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a46/7920388/e904e67db801/pone.0246232.g007.jpg

相似文献

1
Population genetic structure and association mapping for iron toxicity tolerance in rice.群体遗传结构与水稻铁毒性耐受的关联作图。
PLoS One. 2021 Mar 1;16(3):e0246232. doi: 10.1371/journal.pone.0246232. eCollection 2021.
2
Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification.关联作图揭示了多个与稻米蛋白含量相关的 QTL,这些 QTL 有助于生物强化。
Mol Genet Genomics. 2019 Aug;294(4):963-983. doi: 10.1007/s00438-019-01556-w. Epub 2019 Apr 8.
3
Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding.用于培育营养密集型水稻的谷物铁和锌增强 QTL 的连锁不平衡作图。
BMC Plant Biol. 2020 Feb 4;20(1):57. doi: 10.1186/s12870-020-2262-4.
4
Genetic mapping of physiological traits associated with terminal stage drought tolerance in rice.与水稻终末期耐旱性相关的生理性状的遗传图谱。
BMC Genet. 2020 Jul 14;21(1):76. doi: 10.1186/s12863-020-00883-x.
5
QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study.利用全基因组关联研究进行水稻苗期亚铁和锌毒性耐受性的 QTL 定位和候选基因分析。
BMC Genomics. 2017 Oct 27;18(1):828. doi: 10.1186/s12864-017-4221-5.
6
QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).基于新株型水稻重组自交系的产量及产量相关性状的新型基因组区域的QTL分析(水稻(Oryza sativa L.))
BMC Plant Biol. 2012 Aug 9;12:137. doi: 10.1186/1471-2229-12-137.
7
Mapping QTL for traits associated with resistance to ferrous iron toxicity in rice (Oryza sativa L.), using japonica chromosome segment substitution lines.利用粳稻染色体片段代换系定位与水稻(Oryza sativa L.)亚铁毒性抗性相关性状的QTL。
Yi Chuan Xue Bao. 2003 Oct;30(10):893-8.
8
Mapping QTLs underpin nutrition components in aromatic rice germplasm.定位芳香稻种质资源中营养成分的 QTLs。
PLoS One. 2020 Jun 11;15(6):e0234395. doi: 10.1371/journal.pone.0234395. eCollection 2020.
9
Identification of genomic regions governing moisture and heat stress tolerance employing association mapping in rice (Oryza sativa L.).利用关联作图在水稻(Oryza sativa L.)中鉴定水分和热应激耐性的基因组区域。
Mol Biol Rep. 2023 Feb;50(2):1499-1515. doi: 10.1007/s11033-022-08153-y. Epub 2022 Dec 12.
10
From QTL to variety-harnessing the benefits of QTLs for drought, flood and salt tolerance in mega rice varieties of India through a multi-institutional network.从 QTL 到品种——通过多机构网络利用印度巨型水稻品种对干旱、洪水和耐盐性的 QTL 优势。
Plant Sci. 2016 Jan;242:278-287. doi: 10.1016/j.plantsci.2015.08.008. Epub 2015 Aug 20.

引用本文的文献

1
Candidate Genes and Favorable Haplotypes Associated with Iron Toxicity Tolerance in Rice.候选基因和有利单倍型与水稻铁毒性耐受相关。
Int J Mol Sci. 2024 Jun 26;25(13):6970. doi: 10.3390/ijms25136970.
2
Genome-wide association study as a powerful tool for dissecting competitive traits in legumes.全基因组关联研究作为剖析豆科植物竞争性状的有力工具。
Front Plant Sci. 2023 Aug 14;14:1123631. doi: 10.3389/fpls.2023.1123631. eCollection 2023.
3
Transfer of Stress Resilient QTLs and Panicle Traits into the Rice Variety, Reeta through Classical and Marker-Assisted Breeding Approaches.

本文引用的文献

1
Association of molecular markers with physio-biochemical traits related to seed vigour in rice.水稻中与种子活力相关的生理生化性状的分子标记关联分析
Physiol Mol Biol Plants. 2020 Oct;26(10):1989-2003. doi: 10.1007/s12298-020-00879-y. Epub 2020 Sep 14.
2
Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding.用于培育营养密集型水稻的谷物铁和锌增强 QTL 的连锁不平衡作图。
BMC Plant Biol. 2020 Feb 4;20(1):57. doi: 10.1186/s12870-020-2262-4.
3
Development of flash-flood tolerant and durable bacterial blight resistant versions of mega rice variety 'Swarna' through marker-assisted backcross breeding.
通过传统的和基于标记的选育方法将抗逆性 QTL 和穗部性状转移到水稻品种 Reeta 中。
Int J Mol Sci. 2023 Jun 27;24(13):10708. doi: 10.3390/ijms241310708.
4
Mapping the Genomic Regions Controlling Germination Rate and Early Seedling Growth Parameters in Rice.定位控制水稻发芽率和早期幼苗生长参数的基因组区域。
Genes (Basel). 2023 Apr 12;14(4):902. doi: 10.3390/genes14040902.
5
Molecular Breeding for Incorporation of Submergence Tolerance and Durable Bacterial Blight Resistance into the Popular Rice Variety 'Ranidhan'.将耐淹和持久细菌性条斑病抗性纳入流行水稻品种‘Ranidhan’的分子育种。
Biomolecules. 2023 Jan 18;13(2):198. doi: 10.3390/biom13020198.
6
QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals.数量性状位点(QTL)和候选基因:主要谷物抗非生物胁迫育种的技术和进展。
Int J Mol Sci. 2022 Dec 20;24(1):6. doi: 10.3390/ijms24010006.
7
Association mapping for protein, total soluble sugars, starch, amylose and chlorophyll content in rice.水稻中蛋白质、总可溶性糖、淀粉、直链淀粉和叶绿素含量的关联图谱构建。
BMC Plant Biol. 2022 Dec 29;22(1):620. doi: 10.1186/s12870-022-04015-8.
8
Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice.解析控制水稻种子活力指数、根系生长参数和发芽率的基因组区域。
PLoS One. 2022 Jul 26;17(7):e0267303. doi: 10.1371/journal.pone.0267303. eCollection 2022.
9
SSR-based genome-wide association study in turkish durum wheat germplasms revealed novel QTL of accumulated platinum.基于 SSR 的全基因组关联研究在土耳其杜伦小麦种质资源中揭示了累积铂的新 QTL。
Mol Biol Rep. 2022 Dec;49(12):11289-11300. doi: 10.1007/s11033-022-07720-7. Epub 2022 Jul 11.
10
Detection of Genomic Regions Controlling the Antioxidant Enzymes, Phenolic Content, and Antioxidant Activities in Rice Grain through Association Mapping.通过关联分析检测控制水稻籽粒抗氧化酶、酚类物质含量和抗氧化活性的基因组区域
Plants (Basel). 2022 May 30;11(11):1463. doi: 10.3390/plants11111463.
利用标记辅助回交育种技术,培育耐洪水和持久细菌性条斑病的巨型稻品种“Swarna”。
Sci Rep. 2019 Sep 5;9(1):12810. doi: 10.1038/s41598-019-49176-z.
4
Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification.关联作图揭示了多个与稻米蛋白含量相关的 QTL,这些 QTL 有助于生物强化。
Mol Genet Genomics. 2019 Aug;294(4):963-983. doi: 10.1007/s00438-019-01556-w. Epub 2019 Apr 8.
5
Genome-Wide Association Mapping in a Rice MAGIC Plus Population Detects QTLs and Genes Useful for Biofortification.水稻MAGIC+群体中的全基因组关联图谱分析鉴定出对生物强化有用的QTL和基因。
Front Plant Sci. 2018 Sep 20;9:1347. doi: 10.3389/fpls.2018.01347. eCollection 2018.
6
Mapping abiotic stresses for rice in Africa: Drought, cold, iron toxicity, salinity and sodicity.非洲水稻的非生物胁迫图谱:干旱、寒冷、铁毒、盐度和碱度。
Field Crops Res. 2018 Apr 15;219:55-75. doi: 10.1016/j.fcr.2018.01.016.
7
Excess iron stress reduces root tip zone growth through nitric oxide-mediated repression of potassium homeostasis in Arabidopsis.过量铁胁迫通过一氧化氮介导的拟南芥钾稳态抑制来降低根尖生长区的生长。
New Phytol. 2018 Jul;219(1):259-274. doi: 10.1111/nph.15157. Epub 2018 Apr 15.
8
QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study.利用全基因组关联研究进行水稻苗期亚铁和锌毒性耐受性的 QTL 定位和候选基因分析。
BMC Genomics. 2017 Oct 27;18(1):828. doi: 10.1186/s12864-017-4221-5.
9
Association Mapping of Yield and Yield-related Traits Under Reproductive Stage Drought Stress in Rice (Oryza sativa L.).水稻(Oryza sativa L.)生殖阶段干旱胁迫下产量及产量相关性状的关联分析
Rice (N Y). 2017 Dec;10(1):21. doi: 10.1186/s12284-017-0161-6. Epub 2017 May 18.
10
Genome-Wide Association Mapping Reveals Multiple QTLs Governing Tolerance Response for Seedling Stage Chilling Stress in Rice.全基因组关联图谱揭示了多个控制水稻苗期低温胁迫耐受性反应的数量性状位点。
Front Plant Sci. 2017 Apr 25;8:552. doi: 10.3389/fpls.2017.00552. eCollection 2017.