Evaluation of Protein Extraction Methods for Metaproteomic Analyses of Root-Associated Microbes.

Metaproteomics is a powerful tool for the characterization of metabolism, physiology, and functional interactions in microbial communities, including plant-associated microbiota. However, the metaproteomic methods that have been used to study plant-associated microbiota are very laborious and require large amounts of plant tissue, hindering wider application of these methods. We optimized and evaluated different protein extraction methods for metaproteomics of plant-associated microbiota in two different plant species (<em>Arabidopsis</em> and maize). Our main goal was to identify a method that would work with low amounts of input material (40 to 70 mg) and that would maximize the number of identified microbial proteins. We tested eight protocols, each comprising a different combination of physical lysis method, extraction buffer, and cell-enrichment method on roots from plants grown with synthetic microbial communities. We assessed the performance of the extraction protocols by liquid chromatography-tandem mass spectrometry-based metaproteomics and found that the optimal extraction method differed between the two species. For <em>Arabidopsis</em> roots, protein extraction by beating whole roots with small beads provided the greatest number of identified microbial proteins and improved the identification of proteins from gram-positive bacteria. For maize, vortexing root pieces in the presence of large glass beads yielded the greatest number of microbial proteins identified. Based on these data, we recommend the use of these two methods for metaproteomics with <em>Arabidopsis</em> and maize. Furthermore, detailed descriptions of the eight tested protocols will enable future optimization of protein extraction for metaproteomics in other dicot and monocot plants. [Formula: see text] Copyright &copy; 2022 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

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UNC Libraries
Published
2025-02-01
DOI
https://doi.org/10.17615/7har-ts26
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of Protein Extraction Methods for Metaproteomic Analyses of Root-Associated Microbes.

Manuel Kleiner, Omri M. Finkel, Simina Vintila, Jeffery L. Dangl et al.
UNC Libraries
Microbial Community Ecology and Physiology
article

Evaluation of Protein Extraction Methods for Metaproteomic Analyses of Root-Associated Microbes.

Manuel Kleiner, Omri M. Finkel, Simina Vintila, Jeffery L. Dangl, Fernanda Salvato
article en

Abstract

Metaproteomics is a powerful tool for the characterization of metabolism, physiology, and functional interactions in microbial communities, including plant-associated microbiota. However, the metaproteomic methods that have been used to study plant-associated microbiota are very laborious and require large amounts of plant tissue, hindering wider application of these methods. We optimized and evaluated different protein extraction methods for metaproteomics of plant-associated microbiota in two different plant species (<em>Arabidopsis</em> and maize). Our main goal was to identify a method that would work with low amounts of input material (40 to 70 mg) and that would maximize the number of identified microbial proteins. We tested eight protocols, each comprising a different combination of physical lysis method, extraction buffer, and cell-enrichment method on roots from plants grown with synthetic microbial communities. We assessed the performance of the extraction protocols by liquid chromatography-tandem mass spectrometry-based metaproteomics and found that the optimal extraction method differed between the two species. For <em>Arabidopsis</em> roots, protein extraction by beating whole roots with small beads provided the greatest number of identified microbial proteins and improved the identification of proteins from gram-positive bacteria. For maize, vortexing root pieces in the presence of large glass beads yielded the greatest number of microbial proteins identified. Based on these data, we recommend the use of these two methods for metaproteomics with <em>Arabidopsis</em> and maize. Furthermore, detailed descriptions of the eight tested protocols will enable future optimization of protein extraction for metaproteomics in other dicot and monocot plants. [Formula: see text] Copyright &copy; 2022 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

UNC Libraries
University of North Carolina at Chapel Hill (US)
National Science Foundation, Howard Hughes Medical Institute, U.S. Department of Energy, U.S. Department of Agriculture, North Carolina State University, Novo Nordisk, Novo Nordisk Fonden, National Institute of Food and Agriculture, Office of Science
Zero hunger
Openalex Percentile: Top 98%
Microbial Community Ecology and Physiology
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