• 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

应用选择反应监测质谱技术于田间生长的作物植物,以允许剖析非生物胁迫耐受性的分子机制。

Application of selected reaction monitoring mass spectrometry to field-grown crop plants to allow dissection of the molecular mechanisms of abiotic stress tolerance.

机构信息

Australian Research Council Centre of Excellence in Plant Energy Biology and Centre for Comparative Analysis of Biomolecular Networks, The University of Western Australia Crawley, WA, Australia.

出版信息

Front Plant Sci. 2013 Feb 13;4:20. doi: 10.3389/fpls.2013.00020. eCollection 2013.

DOI:10.3389/fpls.2013.00020
PMID:23407798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3571200/
Abstract

One major constraint upon the application of molecular crop breeding approaches is the small number of genes linked to agronomically desirable traits through defined biochemical mechanisms. Proteomic investigations of crop plants under abiotic stress treatments have identified many proteins that differ in control versus stress comparisons, however, this broad profiling of cell physiology is poorly suited to ranking the effects and identifying the specific proteins that are causative in agronomically relevant traits. Here we will reason that insights into a protein's function, its biochemical process and links to stress tolerance are more likely to arise through approaches that evaluate these differential abundances of proteins and include varietal comparisons, precise discrimination of protein isoforms, enrichment of functionally related proteins, and integration of proteomic datasets with physiological measurements of both lab and field-grown plants. We will briefly explain how applying the emerging proteomic technology of multiplexed selective reaction monitoring mass spectrometry with its accuracy and throughput can facilitate and enhance these approaches and provide a clear means to rank the growing cohort of stress responsive proteins. We will also highlight the benefit of integrating proteomic analyses with cultivar-specific genetic databases and physiological assessments of cultivar performance in relevant field environments for revealing deeper insights into molecular crop improvement.

摘要

应用分子作物育种方法的一个主要限制因素是,通过明确的生化机制与农艺上理想性状相关的基因数量较少。对作物在非生物胁迫处理下的蛋白质组学研究已经鉴定出许多在对照和胁迫比较中差异表达的蛋白质,但这种对细胞生理学的广泛分析并不适合对效应进行排序,并确定在与农艺相关性状中起因果作用的特定蛋白质。在这里,我们将认为,通过评估这些差异丰度的蛋白质并包括品种比较、精确区分蛋白质同工型、功能相关蛋白质的富集以及将蛋白质组数据集与实验室和田间生长植物的生理测量值进行整合的方法,更有可能深入了解蛋白质的功能、其生化过程以及与胁迫耐受性的联系。我们将简要解释如何应用新兴的多重选择反应监测质谱蛋白质组学技术及其准确性和通量来促进和增强这些方法,并提供一种明确的方法来对不断增加的应激响应蛋白进行排序。我们还将强调将蛋白质组学分析与特定品种的遗传数据库以及在相关田间环境中对品种性能的生理评估相结合的益处,以深入了解分子作物改良。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf6/3571200/5954ffa9eeb5/fpls-04-00020-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf6/3571200/5954ffa9eeb5/fpls-04-00020-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf6/3571200/5954ffa9eeb5/fpls-04-00020-g001.jpg

相似文献

1
Application of selected reaction monitoring mass spectrometry to field-grown crop plants to allow dissection of the molecular mechanisms of abiotic stress tolerance.应用选择反应监测质谱技术于田间生长的作物植物,以允许剖析非生物胁迫耐受性的分子机制。
Front Plant Sci. 2013 Feb 13;4:20. doi: 10.3389/fpls.2013.00020. eCollection 2013.
2
Enhancement of Plant Productivity in the Post-Genomics Era.后基因组时代植物生产力的提高
Curr Genomics. 2016 Aug;17(4):295-6. doi: 10.2174/138920291704160607182507.
3
Epigenomics in stress tolerance of plants under the climate change.植物在气候变化下的应激耐受中的表观基因组学。
Mol Biol Rep. 2023 Jul;50(7):6201-6216. doi: 10.1007/s11033-023-08539-6. Epub 2023 Jun 9.
4
Elucidation of salt stress defense and tolerance mechanisms of crop plants using proteomics--current achievements and perspectives.利用蛋白质组学阐明作物的盐胁迫防御和耐受机制——当前的成就与展望。
Proteomics. 2013 Jun;13(12-13):1885-900. doi: 10.1002/pmic.201200399.
5
Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes.评估和利用种质库中的功能多样性以增强谷物和食用豆类对非生物胁迫的适应性及提高产量
Front Plant Sci. 2017 Aug 29;8:1461. doi: 10.3389/fpls.2017.01461. eCollection 2017.
6
Advances in functional genomics for investigating salinity stress tolerance mechanisms in cereals.在功能基因组学方面的进展,用于研究谷物耐盐胁迫机制。
Front Plant Sci. 2013 May 10;4:123. doi: 10.3389/fpls.2013.00123. eCollection 2013.
7
Crop Proteomics under Abiotic Stress: From Data to Insights.非生物胁迫下的作物蛋白质组学:从数据到见解
Plants (Basel). 2022 Oct 27;11(21):2877. doi: 10.3390/plants11212877.
8
TMT based proteomic profiling of Sophora alopecuroides leaves reveal flavonoid biosynthesis processes in response to salt stress.基于TMT的苦豆子叶蛋白质组学分析揭示了其响应盐胁迫的类黄酮生物合成过程。
J Proteomics. 2022 Feb 20;253:104457. doi: 10.1016/j.jprot.2021.104457. Epub 2021 Dec 18.
9
Understanding the responses of rice to environmental stress using proteomics.利用蛋白质组学理解水稻对环境胁迫的响应。
J Proteome Res. 2013 Nov 1;12(11):4652-69. doi: 10.1021/pr400689j. Epub 2013 Sep 17.
10
Progress and challenges for abiotic stress proteomics of crop plants.作物非生物胁迫蛋白质组学的进展与挑战。
Proteomics. 2013 Jun;13(12-13):1801-15. doi: 10.1002/pmic.201200401.

引用本文的文献

1
Photorespiration: The Futile Cycle?光呼吸:无效循环?
Plants (Basel). 2021 May 1;10(5):908. doi: 10.3390/plants10050908.
2
PANOMICS meets germplasm.泛基因组遇见种质资源。
Plant Biotechnol J. 2020 Jul;18(7):1507-1525. doi: 10.1111/pbi.13372. Epub 2020 May 19.
3
Legume genomics and transcriptomics: From classic breeding to modern technologies.豆科植物基因组学与转录组学:从传统育种到现代技术

本文引用的文献

1
Genetic variation in tolerance to the osmotic stress componentof salinity stress in durum wheat.硬粒小麦对盐分胁迫中渗透胁迫成分耐受性的遗传变异。
Funct Plant Biol. 2008 Apr;35(2):111-123. doi: 10.1071/FP07234.
2
A physical, genetic and functional sequence assembly of the barley genome.大麦基因组的物理、遗传和功能序列组装。
Nature. 2012 Nov 29;491(7426):711-6. doi: 10.1038/nature11543. Epub 2012 Oct 17.
3
Key issues in the acquisition and analysis of qualitative and quantitative mass spectrometry data for peptide-centric proteomic experiments.
Saudi J Biol Sci. 2020 Jan;27(1):543-555. doi: 10.1016/j.sjbs.2019.11.018. Epub 2019 Nov 25.
4
Improved Quantitative Plant Proteomics via the Combination of Targeted and Untargeted Data Acquisition.通过靶向和非靶向数据采集相结合改进植物定量蛋白质组学
Front Plant Sci. 2017 Sep 27;8:1669. doi: 10.3389/fpls.2017.01669. eCollection 2017.
5
Finger Millet: A "Certain" Crop for an "Uncertain" Future and a Solution to Food Insecurity and Hidden Hunger under Stressful Environments.龙爪稷:应对“不确定”未来的“可靠”作物,以及解决压力环境下粮食不安全和隐性饥饿问题的方案。
Front Plant Sci. 2017 Apr 25;8:643. doi: 10.3389/fpls.2017.00643. eCollection 2017.
6
Emerging Genomic Tools for Legume Breeding: Current Status and Future Prospects.豆科植物育种的新兴基因组工具:现状与未来展望
Front Plant Sci. 2016 May 2;7:455. doi: 10.3389/fpls.2016.00455. eCollection 2016.
7
Advances in plant proteomics toward improvement of crop productivity and stress resistancex.植物蛋白质组学在提高作物生产力和抗逆性方面的进展x。
Front Plant Sci. 2015 Apr 14;6:209. doi: 10.3389/fpls.2015.00209. eCollection 2015.
8
Field-omics-understanding large-scale molecular data from field crops.田间组学——解析大田作物的大规模分子数据。
Front Plant Sci. 2014 Jun 20;5:286. doi: 10.3389/fpls.2014.00286. eCollection 2014.
9
Application of proteomics for improving crop protection/artificial regulation.蛋白质组学在改善作物保护/人工调控方面的应用。
Front Plant Sci. 2013 Dec 19;4:522. doi: 10.3389/fpls.2013.00522. eCollection 2013.
肽质组学实验中定性和定量质谱数据获取和分析的关键问题。
Amino Acids. 2012 Sep;43(3):1075-85. doi: 10.1007/s00726-012-1287-x. Epub 2012 Jul 22.
4
Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions.基于选择反应监测的蛋白质组学:工作流程、潜力、陷阱和未来方向。
Nat Methods. 2012 May 30;9(6):555-66. doi: 10.1038/nmeth.2015.
5
The tomato genome sequence provides insights into fleshy fruit evolution.番茄基因组序列为肉质果实进化提供了线索。
Nature. 2012 May 30;485(7400):635-41. doi: 10.1038/nature11119.
6
Mitochondrial proteome heterogeneity between tissues from the vegetative and reproductive stages of Arabidopsis thaliana development.拟南芥发育营养生长和生殖阶段各组织间线粒体蛋白质组的异质性
J Proteome Res. 2012 Jun 1;11(6):3326-43. doi: 10.1021/pr3001157. Epub 2012 May 14.
7
A computational tool to detect and avoid redundancy in selected reaction monitoring.一种用于在选择反应监测中检测和避免冗余的计算工具。
Mol Cell Proteomics. 2012 Aug;11(8):540-9. doi: 10.1074/mcp.M111.013045. Epub 2012 Apr 24.
8
A comparison of hydroponic and soil-based screening methods to identify salt tolerance in the field in barley.水培和土培筛选方法在大麦田间耐盐性鉴定中的比较。
J Exp Bot. 2012 Jun;63(10):3853-67. doi: 10.1093/jxb/ers085. Epub 2012 Mar 21.
9
Next-generation sequencing applications for wheat crop improvement.下一代测序技术在小麦作物改良中的应用。
Am J Bot. 2012 Feb;99(2):365-71. doi: 10.3732/ajb.1100309. Epub 2012 Jan 20.
10
Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.靶向提取数据独立采集产生的 MS/MS 谱图:一致且准确的蛋白质组分析的新概念。
Mol Cell Proteomics. 2012 Jun;11(6):O111.016717. doi: 10.1074/mcp.O111.016717. Epub 2012 Jan 18.