Evidence map›Paper›PMID 36803638›Full record

ArticleMicrobiome2023

MetaboDirect: an analytical pipeline for the processing of FT-ICR MS-based metabolomic data.

Christian Ayala-Ortiz, Nathalia Graf-Grachet, Viviana Freire-Zapata, Jane Fudyma, Gina Hildebrand, Roya AminiTabrizi, Cristina Howard-Varona, Yuri E Corilo, Nancy Hess, Melissa B Duhaime and 2 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  12. mLife · 2025
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  16. Soil viral-host interactions regulate microplastic-dependent carbon storage.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Christian Ayala-OrtizDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA.
Nathalia Graf-GrachetDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA.
Viviana Freire-ZapataDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA.
Jane FudymaDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA.
Gina HildebrandDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA.
Roya AminiTabriziDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA.
Cristina Howard-VaronaDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Yuri E CoriloEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Nancy HessPresent address: University of California, Davis|Department of Plant Pathology, Davis, CA, 95616-8751, USA.
Melissa B DuhaimeDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Matthew B SullivanDepartment of Microbiology, Ohio State University, Columbus, OH, 43210, USA.
Malak M TfailyDepartment of Environmental, Science, University of Arizona, Tucson, AZ, 85721, USA. tfaily@arizona.edu.ORCID 0000-0002-3036-2833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobiomes 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.

resultsHere, 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.

conclusionApplication 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.

Indexed as

EcosystemMetabolomicsMass SpectrometrySoftwareSoilSoilBiochemical networksFT-ICR MSMetabolitesOrganic matter

Identifiers

PMID36803638
PMCPMC9936664

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.