Integrating Targeted Metabolomics and Targeted Proteomics to Study the Responses of Wheat Plants to Engineered Nanomaterials

IF 2.3 Q1 AGRICULTURE, MULTIDISCIPLINARY ACS agricultural science & technology Pub Date : 2024-04-02 DOI:10.1021/acsagscitech.4c00046
Weiwei Li,  and , Arturo A. Keller*, 
{"title":"Integrating Targeted Metabolomics and Targeted Proteomics to Study the Responses of Wheat Plants to Engineered Nanomaterials","authors":"Weiwei Li,&nbsp; and ,&nbsp;Arturo A. Keller*,&nbsp;","doi":"10.1021/acsagscitech.4c00046","DOIUrl":null,"url":null,"abstract":"<p >This manuscript presents a multiomics investigation into the metabolic and proteomic responses of wheat to molybdenum (Mo)- and copper (Cu)-based engineered nanomaterials (ENMs) exposure via root and leaf application methods. Wheat plants underwent a four-week growth period with a 16 h photoperiod (light intensity set at 150 μmol·m<sup>–2</sup>·s<sup>–1</sup>), at 22 °C and 60% humidity. Six distinct treatments were applied, including control conditions alongside exposure to Mo- and Cu-based ENMs through both root and leaf routes. The exposure dosage amounted to 6.25 mg of the respective element per plant. An additional treatment with a lower dose (0.6 mg Mo/plant) of Mo ENM exclusively through the root system was introduced upon the detection of phytotoxicity. Utilizing LC–MS/MS analysis, 82 metabolites across various classes and 24 proteins were assessed in different plant tissues (roots, stems, leaves) under diverse treatments. The investigation identified 58 responsive metabolites and 19 responsive proteins for Cu treatments, 71 responsive metabolites, and 24 responsive proteins for Mo treatments, mostly through leaf exposure for Cu and root exposure for Mo. Distinct tissue-specific preferences for metabolite accumulation were revealed, highlighting the prevalence of organic acids and fatty acids in stem or root tissues, while sugars and amino acids were abundant in leaves, mirroring their roles in energy storage and photosynthesis. Joint-pathway analysis was conducted and unveiled 23 perturbed pathways across treatments. Among these, Mo exposure via roots impacted all identified pathways, whereas exposure via leaf affected 15 pathways, underscoring the reliance on exposure route of metabolic and proteomic responses. The coordinated response observed in protein and metabolite concentrations, particularly in amino acids, highlighted a dynamic and interconnected proteomic-to-metabolic-to-proteomic relationship. Furthermore, the contrasting expression patterns observed in glutamate dehydrogenase (upregulation at 1.38 ≤ FC ≤ 1.63 with high Mo dose, and downregulation at 0.13 ≤ FC ≤ 0.54 with low Mo dose) and its consequential impact on glutamine expression (7.67 ≤ FC ≤ 39.60 with high Mo dose and 1.50 ≤ FC ≤ 1.95 with low Mo dose) following Mo root exposure highlighted dose-dependent regulatory trends influencing proteins and metabolites. These findings offer a multidimensional understanding of plant responses to ENMs exposure, guiding agricultural practices and environmental safety protocols while advancing knowledge on nanomaterial impacts on plant biology.</p>","PeriodicalId":93846,"journal":{"name":"ACS agricultural science & technology","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsagscitech.4c00046","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS agricultural science & technology","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsagscitech.4c00046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This manuscript presents a multiomics investigation into the metabolic and proteomic responses of wheat to molybdenum (Mo)- and copper (Cu)-based engineered nanomaterials (ENMs) exposure via root and leaf application methods. Wheat plants underwent a four-week growth period with a 16 h photoperiod (light intensity set at 150 μmol·m–2·s–1), at 22 °C and 60% humidity. Six distinct treatments were applied, including control conditions alongside exposure to Mo- and Cu-based ENMs through both root and leaf routes. The exposure dosage amounted to 6.25 mg of the respective element per plant. An additional treatment with a lower dose (0.6 mg Mo/plant) of Mo ENM exclusively through the root system was introduced upon the detection of phytotoxicity. Utilizing LC–MS/MS analysis, 82 metabolites across various classes and 24 proteins were assessed in different plant tissues (roots, stems, leaves) under diverse treatments. The investigation identified 58 responsive metabolites and 19 responsive proteins for Cu treatments, 71 responsive metabolites, and 24 responsive proteins for Mo treatments, mostly through leaf exposure for Cu and root exposure for Mo. Distinct tissue-specific preferences for metabolite accumulation were revealed, highlighting the prevalence of organic acids and fatty acids in stem or root tissues, while sugars and amino acids were abundant in leaves, mirroring their roles in energy storage and photosynthesis. Joint-pathway analysis was conducted and unveiled 23 perturbed pathways across treatments. Among these, Mo exposure via roots impacted all identified pathways, whereas exposure via leaf affected 15 pathways, underscoring the reliance on exposure route of metabolic and proteomic responses. The coordinated response observed in protein and metabolite concentrations, particularly in amino acids, highlighted a dynamic and interconnected proteomic-to-metabolic-to-proteomic relationship. Furthermore, the contrasting expression patterns observed in glutamate dehydrogenase (upregulation at 1.38 ≤ FC ≤ 1.63 with high Mo dose, and downregulation at 0.13 ≤ FC ≤ 0.54 with low Mo dose) and its consequential impact on glutamine expression (7.67 ≤ FC ≤ 39.60 with high Mo dose and 1.50 ≤ FC ≤ 1.95 with low Mo dose) following Mo root exposure highlighted dose-dependent regulatory trends influencing proteins and metabolites. These findings offer a multidimensional understanding of plant responses to ENMs exposure, guiding agricultural practices and environmental safety protocols while advancing knowledge on nanomaterial impacts on plant biology.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
整合靶向代谢组学和靶向蛋白质组学研究小麦植物对工程纳米材料的反应
本手稿介绍了一项多组学研究,通过根部和叶片施用方法研究了小麦对基于钼(Mo)和铜(Cu)的工程纳米材料(ENMs)暴露的代谢和蛋白质组响应。小麦植株生长期为四周,光周期为 16 小时(光照强度设定为 150 μmol-m-2-s-1),温度为 22 °C,湿度为 60%。共采用了六种不同的处理方法,包括对照条件以及通过根部和叶片接触钼和铜基 ENMs。每株植物的接触剂量为 6.25 毫克相应元素。在检测到植物毒性后,又增加了一种完全通过根系接触较低剂量(0.6 毫克钼/株)钼 ENM 的处理方法。利用 LC-MS/MS 分析,对不同处理下不同植物组织(根、茎、叶)中的 82 种不同类别的代谢物和 24 种蛋白质进行了评估。调查发现,在铜处理中,有 58 个响应代谢物和 19 个响应蛋白质;在钼处理中,有 71 个响应代谢物和 24 个响应蛋白质。研究揭示了代谢物积累的不同组织特异性偏好,突出表明有机酸和脂肪酸在茎或根组织中普遍存在,而糖和氨基酸则在叶片中大量存在,这反映了它们在能量储存和光合作用中的作用。联合途径分析揭示了 23 种不同处理的干扰途径。其中,通过根部接触钼影响了所有已确定的途径,而通过叶片接触钼则影响了 15 条途径,这突出表明了代谢和蛋白质组反应对接触途径的依赖性。在蛋白质和代谢物浓度(尤其是氨基酸浓度)中观察到的协调反应突显了蛋白质组到代谢组再到蛋白质组之间的动态和相互关联的关系。此外,在谷氨酸脱氢酶中观察到的不同表达模式(高钼剂量时上调 1.38 ≤ FC ≤ 1.63,低钼剂量时下调 0.13 ≤ FC ≤ 0.54)及其对谷氨酰胺表达的影响(高钼剂量时 7.67 ≤ FC ≤ 39.60,低钼剂量时 1.50 ≤ FC ≤ 1.95)突出了影响蛋白质和代谢物的剂量依赖性调控趋势。这些发现提供了植物对暴露于 ENMs 的反应的多维理解,可指导农业实践和环境安全协议,同时推进有关纳米材料对植物生物学影响的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.80
自引率
0.00%
发文量
0
期刊最新文献
Issue Publication Information Issue Editorial Masthead Advancing Nanotechnology in Agriculture and Food: A Guide to Writing a Successful Manuscript Soil Potassium Sensor Using a Valinomycin-Decorated Reduced Graphene Oxide (rGO-v)-Based Field-Effect Transistor for Precision Farming Antifungal Activity of Vanillic Acid Grafted Chitosan Derivatives against Plant Pathogenic Fungi, Fusarium sp.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1