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-associatedmicrobiota in two different plant species (Arabidopsis andmaize).Our main goal was to identify a method thatwouldworkwith lowamounts 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 Arabidopsis 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 Arabidopsis 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.
Original language | American English |
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Pages (from-to) | 977-988 |
Number of pages | 12 |
Journal | Molecular Plant-Microbe Interactions |
Volume | 35 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2022 |
Externally published | Yes |
Bibliographical note
Funding Information:Funding: This work was supported by the North Carolina State Plant Soil Microbial Community Consortium, the United States National Science Foundation under award number IOS-2033621 (M. Kleiner), the U.S. Department of Agriculture National Institute of Food and Agriculture under award number 2021-67013-34537 (M. Kleiner) and the Novo Nordisk Foundation INTERACT project under award number NNF19SA0059360 (M. Kleiner). This work was also supported by a National Science Foundation grant IOS-1917270 and by the Office of Science (BER), U.S. Department of Energy, grant DE-SC0014395 to J. L. Dangl. J. L. Dangl is an Investigator of the Howard Hughes Medical Institute (HHMI) and is supported by HHMI.
Publisher Copyright:
© 2022 The Author(s).
Keywords
- endosphere
- metaproteomics
- microbiome
- microbiota
- phytobiome
- plant-microbe interactions
- rhizoplane