Camilla Salomonsen , Anna Martyn , Johan Quilbé , þuríður Nótt Björgvinsdóttir , Stig U. Andersen , Simona Radutoiu , Marianne Glasius
{"title":"根瘤代谢组的综合表征:对日本莲根渗出物进行非靶向分析的新方法","authors":"Camilla Salomonsen , Anna Martyn , Johan Quilbé , þuríður Nótt Björgvinsdóttir , Stig U. Andersen , Simona Radutoiu , Marianne Glasius","doi":"10.1016/j.rhisph.2024.100957","DOIUrl":null,"url":null,"abstract":"<div><p>Plant root exudates play a pivotal role in shaping soil dynamics and the microbial community in the rhizosphere. The chemical composition of root exudates includes primary and secondary metabolites, including amino acids, organic acids, flavonoids, and small peptides. Comprehensive characterization of root exudates will allow for a better understanding of rhizosphere processes and interactions, but analysis of root exudates is hindered by complicated collection setups, time-consuming sample preparation, and a lack of definitive annotations within metabolomics. We present a method optimized for non-targeted analysis of primary and secondary metabolites in root exudate samples using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry. The method was tested on root exudates from <em>Lotus japonicus</em>, collected using distinct and well-established sampling methods: a hydroponic-soil-hybrid approach, as well as a modification of a soil-leaching method, thus exemplifying the versatility of the analysis method. The method allows for non-targeted screening of plant metabolites, and provides low detection limits (0.002–0.05 μg/mL) and high recoveries (78 <span><math><mrow><mo>±</mo></mrow></math></span> 30%), though a matrix effect was observed for certain plant metabolites. Detection of a large number of features was achieved (670–2785) of which the majority could be putatively annotated at the compound class level. Of these, 14 features were putatively annotated to a specific structure with high confidence, three of which were confirmed with analytical reference standards. The method can be used for investigation of the overall change in root exudation, as well as for investigating significant changes in metabolites in response to intraenous and extraneous parameters.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2452219824001125/pdfft?md5=344047754caa486524941f7232a08475&pid=1-s2.0-S2452219824001125-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Comprehensive characterization of the rhizosphere metabolome: A novel method for non-targeted analysis of Lotus japonicus root exudates\",\"authors\":\"Camilla Salomonsen , Anna Martyn , Johan Quilbé , þuríður Nótt Björgvinsdóttir , Stig U. Andersen , Simona Radutoiu , Marianne Glasius\",\"doi\":\"10.1016/j.rhisph.2024.100957\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Plant root exudates play a pivotal role in shaping soil dynamics and the microbial community in the rhizosphere. The chemical composition of root exudates includes primary and secondary metabolites, including amino acids, organic acids, flavonoids, and small peptides. Comprehensive characterization of root exudates will allow for a better understanding of rhizosphere processes and interactions, but analysis of root exudates is hindered by complicated collection setups, time-consuming sample preparation, and a lack of definitive annotations within metabolomics. We present a method optimized for non-targeted analysis of primary and secondary metabolites in root exudate samples using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry. The method was tested on root exudates from <em>Lotus japonicus</em>, collected using distinct and well-established sampling methods: a hydroponic-soil-hybrid approach, as well as a modification of a soil-leaching method, thus exemplifying the versatility of the analysis method. The method allows for non-targeted screening of plant metabolites, and provides low detection limits (0.002–0.05 μg/mL) and high recoveries (78 <span><math><mrow><mo>±</mo></mrow></math></span> 30%), though a matrix effect was observed for certain plant metabolites. Detection of a large number of features was achieved (670–2785) of which the majority could be putatively annotated at the compound class level. Of these, 14 features were putatively annotated to a specific structure with high confidence, three of which were confirmed with analytical reference standards. The method can be used for investigation of the overall change in root exudation, as well as for investigating significant changes in metabolites in response to intraenous and extraneous parameters.</p></div>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2452219824001125/pdfft?md5=344047754caa486524941f7232a08475&pid=1-s2.0-S2452219824001125-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2452219824001125\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452219824001125","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Comprehensive characterization of the rhizosphere metabolome: A novel method for non-targeted analysis of Lotus japonicus root exudates
Plant root exudates play a pivotal role in shaping soil dynamics and the microbial community in the rhizosphere. The chemical composition of root exudates includes primary and secondary metabolites, including amino acids, organic acids, flavonoids, and small peptides. Comprehensive characterization of root exudates will allow for a better understanding of rhizosphere processes and interactions, but analysis of root exudates is hindered by complicated collection setups, time-consuming sample preparation, and a lack of definitive annotations within metabolomics. We present a method optimized for non-targeted analysis of primary and secondary metabolites in root exudate samples using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry. The method was tested on root exudates from Lotus japonicus, collected using distinct and well-established sampling methods: a hydroponic-soil-hybrid approach, as well as a modification of a soil-leaching method, thus exemplifying the versatility of the analysis method. The method allows for non-targeted screening of plant metabolites, and provides low detection limits (0.002–0.05 μg/mL) and high recoveries (78 30%), though a matrix effect was observed for certain plant metabolites. Detection of a large number of features was achieved (670–2785) of which the majority could be putatively annotated at the compound class level. Of these, 14 features were putatively annotated to a specific structure with high confidence, three of which were confirmed with analytical reference standards. The method can be used for investigation of the overall change in root exudation, as well as for investigating significant changes in metabolites in response to intraenous and extraneous parameters.