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MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data
Microbiomes are now recognized as the main drivers of ecosystem function ranging from the oceans and soils to humans and bioreactors. However, a grand challenge in microbiome science is to characterize and quantify the chemical currencies of organic matter (i.e., metabolites) that microbes respond t...
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Published in: | Microbiome 2023-02, Vol.11 (1), p.28-28, Article 28 |
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creator | Ayala-Ortiz, Christian Graf-Grachet, Nathalia Freire-Zapata, Viviana Fudyma, Jane Hildebrand, Gina AminiTabrizi, Roya Howard-Varona, Cristina Corilo, Yuri E Hess, Nancy Duhaime, Melissa B Sullivan, Matthew B Tfaily, Malak M |
description | Microbiomes are now recognized as the main drivers of ecosystem function ranging from the oceans and soils to humans and bioreactors. However, a grand challenge in microbiome science is to characterize and quantify the chemical currencies of organic matter (i.e., metabolites) that microbes respond to and alter. Critical to this has been the development of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), which has drastically increased molecular characterization of complex organic matter samples, but challenges users with hundreds of millions of data points where readily available, user-friendly, and customizable software tools are lacking.
Here, we build on years of analytical experience with diverse sample types to develop MetaboDirect, an open-source, command-line-based pipeline for the analysis (e.g., chemodiversity analysis, multivariate statistics), visualization (e.g., Van Krevelen diagrams, elemental and molecular class composition plots), and presentation of direct injection high-resolution FT-ICR MS data sets after molecular formula assignment has been performed. When compared to other available FT-ICR MS software, MetaboDirect is superior in that it requires a single line of code to launch a fully automated framework for the generation and visualization of a wide range of plots, with minimal coding experience required. Among the tools evaluated, MetaboDirect is also uniquely able to automatically generate biochemical transformation networks (ab initio) based on mass differences (mass difference network-based approach) that provide an experimental assessment of metabolite connections within a given sample or a complex metabolic system, thereby providing important information about the nature of the samples and the set of microbial reactions or pathways that gave rise to them. Finally, for more experienced users, MetaboDirect allows users to customize plots, outputs, and analyses.
Application of MetaboDirect to FT-ICR MS-based metabolomic data sets from a marine phage-bacterial infection experiment and a Sphagnum leachate microbiome incubation experiment showcase the exploration capabilities of the pipeline that will enable the research community to evaluate and interpret their data in greater depth and in less time. It will further advance our knowledge of how microbial communities influence and are influenced by the chemical makeup of the surrounding system. The source code and User's guide of MetaboDirect are freely avail |
doi_str_mv | 10.1186/s40168-023-01476-3 |
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Here, we build on years of analytical experience with diverse sample types to develop MetaboDirect, an open-source, command-line-based pipeline for the analysis (e.g., chemodiversity analysis, multivariate statistics), visualization (e.g., Van Krevelen diagrams, elemental and molecular class composition plots), and presentation of direct injection high-resolution FT-ICR MS data sets after molecular formula assignment has been performed. When compared to other available FT-ICR MS software, MetaboDirect is superior in that it requires a single line of code to launch a fully automated framework for the generation and visualization of a wide range of plots, with minimal coding experience required. Among the tools evaluated, MetaboDirect is also uniquely able to automatically generate biochemical transformation networks (ab initio) based on mass differences (mass difference network-based approach) that provide an experimental assessment of metabolite connections within a given sample or a complex metabolic system, thereby providing important information about the nature of the samples and the set of microbial reactions or pathways that gave rise to them. Finally, for more experienced users, MetaboDirect allows users to customize plots, outputs, and analyses.
Application of MetaboDirect to FT-ICR MS-based metabolomic data sets from a marine phage-bacterial infection experiment and a Sphagnum leachate microbiome incubation experiment showcase the exploration capabilities of the pipeline that will enable the research community to evaluate and interpret their data in greater depth and in less time. It will further advance our knowledge of how microbial communities influence and are influenced by the chemical makeup of the surrounding system. The source code and User's guide of MetaboDirect are freely available through ( https://github.com/Coayala/MetaboDirect ) and ( https://metabodirect.readthedocs.io/en/latest/ ), respectively. Video Abstract.</description><identifier>ISSN: 2049-2618</identifier><identifier>EISSN: 2049-2618</identifier><identifier>DOI: 10.1186/s40168-023-01476-3</identifier><identifier>PMID: 36803638</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Biochemical networks ; Bioreactors ; Data analysis ; Datasets ; Documentation ; Ecosystem ; Environmental conditions ; FT-ICR MS ; Ions ; Leachates ; Mass spectrometry ; Mass Spectrometry - methods ; Mass spectroscopy ; Metabolites ; Metabolomics ; Metabolomics - methods ; Microbiology ; Microbiomes ; Microorganisms ; Multivariate analysis ; Oceans ; Open source software ; Organic matter ; Public domain ; Scientific imaging ; Signal processing ; Software ; Software packages ; Soil ; Statistical analysis ; Visualization</subject><ispartof>Microbiome, 2023-02, Vol.11 (1), p.28-28, Article 28</ispartof><rights>2023. The Author(s).</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c523t-d767d945d490b21fb53341101814b5173e60d85ac9283d6cd5618bf29456d7bf3</citedby><cites>FETCH-LOGICAL-c523t-d767d945d490b21fb53341101814b5173e60d85ac9283d6cd5618bf29456d7bf3</cites><orcidid>0000-0002-3036-2833 ; 0000000230362833</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936664/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2777785261?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36803638$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/2472023$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Ayala-Ortiz, Christian</creatorcontrib><creatorcontrib>Graf-Grachet, Nathalia</creatorcontrib><creatorcontrib>Freire-Zapata, Viviana</creatorcontrib><creatorcontrib>Fudyma, Jane</creatorcontrib><creatorcontrib>Hildebrand, Gina</creatorcontrib><creatorcontrib>AminiTabrizi, Roya</creatorcontrib><creatorcontrib>Howard-Varona, Cristina</creatorcontrib><creatorcontrib>Corilo, Yuri E</creatorcontrib><creatorcontrib>Hess, Nancy</creatorcontrib><creatorcontrib>Duhaime, Melissa B</creatorcontrib><creatorcontrib>Sullivan, Matthew B</creatorcontrib><creatorcontrib>Tfaily, Malak M</creatorcontrib><creatorcontrib>Univ. of Arizona, Tucson, AZ (United States)</creatorcontrib><creatorcontrib>The Ohio State Univ., Columbus, OH (United States)</creatorcontrib><title>MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data</title><title>Microbiome</title><addtitle>Microbiome</addtitle><description>Microbiomes are now recognized as the main drivers of ecosystem function ranging from the oceans and soils to humans and bioreactors. However, a grand challenge in microbiome science is to characterize and quantify the chemical currencies of organic matter (i.e., metabolites) that microbes respond to and alter. Critical to this has been the development of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), which has drastically increased molecular characterization of complex organic matter samples, but challenges users with hundreds of millions of data points where readily available, user-friendly, and customizable software tools are lacking.
Here, we build on years of analytical experience with diverse sample types to develop MetaboDirect, an open-source, command-line-based pipeline for the analysis (e.g., chemodiversity analysis, multivariate statistics), visualization (e.g., Van Krevelen diagrams, elemental and molecular class composition plots), and presentation of direct injection high-resolution FT-ICR MS data sets after molecular formula assignment has been performed. When compared to other available FT-ICR MS software, MetaboDirect is superior in that it requires a single line of code to launch a fully automated framework for the generation and visualization of a wide range of plots, with minimal coding experience required. Among the tools evaluated, MetaboDirect is also uniquely able to automatically generate biochemical transformation networks (ab initio) based on mass differences (mass difference network-based approach) that provide an experimental assessment of metabolite connections within a given sample or a complex metabolic system, thereby providing important information about the nature of the samples and the set of microbial reactions or pathways that gave rise to them. Finally, for more experienced users, MetaboDirect allows users to customize plots, outputs, and analyses.
Application of MetaboDirect to FT-ICR MS-based metabolomic data sets from a marine phage-bacterial infection experiment and a Sphagnum leachate microbiome incubation experiment showcase the exploration capabilities of the pipeline that will enable the research community to evaluate and interpret their data in greater depth and in less time. It will further advance our knowledge of how microbial communities influence and are influenced by the chemical makeup of the surrounding system. The source code and User's guide of MetaboDirect are freely available through ( https://github.com/Coayala/MetaboDirect ) and ( https://metabodirect.readthedocs.io/en/latest/ ), respectively. Video Abstract.</description><subject>Biochemical networks</subject><subject>Bioreactors</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Documentation</subject><subject>Ecosystem</subject><subject>Environmental conditions</subject><subject>FT-ICR MS</subject><subject>Ions</subject><subject>Leachates</subject><subject>Mass spectrometry</subject><subject>Mass Spectrometry - methods</subject><subject>Mass spectroscopy</subject><subject>Metabolites</subject><subject>Metabolomics</subject><subject>Metabolomics - methods</subject><subject>Microbiology</subject><subject>Microbiomes</subject><subject>Microorganisms</subject><subject>Multivariate analysis</subject><subject>Oceans</subject><subject>Open source software</subject><subject>Organic matter</subject><subject>Public domain</subject><subject>Scientific imaging</subject><subject>Signal processing</subject><subject>Software</subject><subject>Software packages</subject><subject>Soil</subject><subject>Statistical analysis</subject><subject>Visualization</subject><issn>2049-2618</issn><issn>2049-2618</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1vFCEYgInR2Kb2D3gwRC9eRvkaBjyYmNXqJm1MtJ48EL5ml83MMAXWpP9edqc2rYQEAg8PvLwvAC8xeoex4O8zQ5iLBhHaIMw63tAn4JQgJhvCsXj6YH4CznPeodpkBZl4Dk4oF4hyKk7B7ytftImfQ_K2fIB6ql0PtyVYPcA5zH4Ik4d9TLBsPZxTtD7nMG1g7OHFdbNe_YBXPxujs3dwPKqGOAYLnS76BXjW6yH787vxDPy6-HK9-tZcfv-6Xn26bGxLaGlcxzsnWeuYRIbg3rSUMowRFpiZFnfUc-REq60kgjpuXVuDMj2pR7jrTE_PwHrxuqh3ak5h1OlWRR3UcSGmjdKpRjR4hZHFxptq14JJ7IRlB2PPetQ6RFF1fVxc896M3lk_laSHR9LHO1PYqk38o6SknHNWBa8XQcwlqGxD8XZr4zTV_1WEdaRmrEJv725J8Wbvc1FjyNYPg5583GdFuk7IAyoq-uY_dBf3qeboSFWurTmuFFkom2LOyff3L8ZIHepFLfWi6u3qWC_q8IpXD2O9P_KvOuhfRiq41A</recordid><startdate>20230217</startdate><enddate>20230217</enddate><creator>Ayala-Ortiz, Christian</creator><creator>Graf-Grachet, Nathalia</creator><creator>Freire-Zapata, Viviana</creator><creator>Fudyma, Jane</creator><creator>Hildebrand, Gina</creator><creator>AminiTabrizi, Roya</creator><creator>Howard-Varona, Cristina</creator><creator>Corilo, Yuri E</creator><creator>Hess, Nancy</creator><creator>Duhaime, Melissa B</creator><creator>Sullivan, Matthew B</creator><creator>Tfaily, Malak M</creator><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3036-2833</orcidid><orcidid>https://orcid.org/0000000230362833</orcidid></search><sort><creationdate>20230217</creationdate><title>MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data</title><author>Ayala-Ortiz, Christian ; Graf-Grachet, Nathalia ; Freire-Zapata, Viviana ; Fudyma, Jane ; Hildebrand, Gina ; AminiTabrizi, Roya ; Howard-Varona, Cristina ; Corilo, Yuri E ; Hess, Nancy ; Duhaime, Melissa B ; Sullivan, Matthew B ; Tfaily, Malak M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c523t-d767d945d490b21fb53341101814b5173e60d85ac9283d6cd5618bf29456d7bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biochemical networks</topic><topic>Bioreactors</topic><topic>Data analysis</topic><topic>Datasets</topic><topic>Documentation</topic><topic>Ecosystem</topic><topic>Environmental conditions</topic><topic>FT-ICR MS</topic><topic>Ions</topic><topic>Leachates</topic><topic>Mass spectrometry</topic><topic>Mass Spectrometry - 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Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Microbiome</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ayala-Ortiz, Christian</au><au>Graf-Grachet, Nathalia</au><au>Freire-Zapata, Viviana</au><au>Fudyma, Jane</au><au>Hildebrand, Gina</au><au>AminiTabrizi, Roya</au><au>Howard-Varona, Cristina</au><au>Corilo, Yuri E</au><au>Hess, Nancy</au><au>Duhaime, Melissa B</au><au>Sullivan, Matthew B</au><au>Tfaily, Malak M</au><aucorp>Univ. of Arizona, Tucson, AZ (United States)</aucorp><aucorp>The Ohio State Univ., Columbus, OH (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data</atitle><jtitle>Microbiome</jtitle><addtitle>Microbiome</addtitle><date>2023-02-17</date><risdate>2023</risdate><volume>11</volume><issue>1</issue><spage>28</spage><epage>28</epage><pages>28-28</pages><artnum>28</artnum><issn>2049-2618</issn><eissn>2049-2618</eissn><abstract>Microbiomes are now recognized as the main drivers of ecosystem function ranging from the oceans and soils to humans and bioreactors. However, a grand challenge in microbiome science is to characterize and quantify the chemical currencies of organic matter (i.e., metabolites) that microbes respond to and alter. Critical to this has been the development of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), which has drastically increased molecular characterization of complex organic matter samples, but challenges users with hundreds of millions of data points where readily available, user-friendly, and customizable software tools are lacking.
Here, we build on years of analytical experience with diverse sample types to develop MetaboDirect, an open-source, command-line-based pipeline for the analysis (e.g., chemodiversity analysis, multivariate statistics), visualization (e.g., Van Krevelen diagrams, elemental and molecular class composition plots), and presentation of direct injection high-resolution FT-ICR MS data sets after molecular formula assignment has been performed. When compared to other available FT-ICR MS software, MetaboDirect is superior in that it requires a single line of code to launch a fully automated framework for the generation and visualization of a wide range of plots, with minimal coding experience required. Among the tools evaluated, MetaboDirect is also uniquely able to automatically generate biochemical transformation networks (ab initio) based on mass differences (mass difference network-based approach) that provide an experimental assessment of metabolite connections within a given sample or a complex metabolic system, thereby providing important information about the nature of the samples and the set of microbial reactions or pathways that gave rise to them. Finally, for more experienced users, MetaboDirect allows users to customize plots, outputs, and analyses.
Application of MetaboDirect to FT-ICR MS-based metabolomic data sets from a marine phage-bacterial infection experiment and a Sphagnum leachate microbiome incubation experiment showcase the exploration capabilities of the pipeline that will enable the research community to evaluate and interpret their data in greater depth and in less time. It will further advance our knowledge of how microbial communities influence and are influenced by the chemical makeup of the surrounding system. The source code and User's guide of MetaboDirect are freely available through ( https://github.com/Coayala/MetaboDirect ) and ( https://metabodirect.readthedocs.io/en/latest/ ), respectively. Video Abstract.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>36803638</pmid><doi>10.1186/s40168-023-01476-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-3036-2833</orcidid><orcidid>https://orcid.org/0000000230362833</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biochemical networks Bioreactors Data analysis Datasets Documentation Ecosystem Environmental conditions FT-ICR MS Ions Leachates Mass spectrometry Mass Spectrometry - methods Mass spectroscopy Metabolites Metabolomics Metabolomics - methods Microbiology Microbiomes Microorganisms Multivariate analysis Oceans Open source software Organic matter Public domain Scientific imaging Signal processing Software Software packages Soil Statistical analysis Visualization |
title | MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data |
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