Author

T. S. Fegel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

C. C. Rhoades· 2 shared A. B. Narrowe· 1 shared A. R. Nelson· 1 shared A. S. Honeyman· 1 shared A. S. Steindorff· 1 shared A. Salamov· 1 shared D. C. Vuono· 1 shared H. F. Peel· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

C. C. Rhoades

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Author profile →

2 papers

Recent·Most cited

Statistical learning and uncommon soil microbiota explain biogeochemical responses after wildfire

A. S. Honeyman, T. S. Fegel, H. F. Peel, N. A. Masters, D. C. Vuono, W. Kleiber, C. C. Rhoades, J. R. Spear

The paper uses statistical learning to predict biogeochemical responses in post-wildfire soils, finding that uncommon microbiota and hybrid models explain most features.

bioRxiv · Feb 6, 2022Microbiology

Playing with FiRE: A genome resolved view of the soil microbiome responses to high severity forest wildfire

A. R. Nelson, A. B. Narrowe, C. C. Rhoades, T. S. Fegel, R. A. Daly, H. K. Roth, R. K. Chu, K. K. Amundson, S. E. Geonczy, J. B. Emerson, R. B. Young, A. S. Steindorff, S. J. Mondo, I. V. Grigoriev, A. Salamov, , M. J. Wilkins

The paper analyzes soil microbiome responses to high severity wildfires using genome-resolved data, finding Actinobacteria dominance and microbial traits enhancing post-fire survival.

bioRxiv · Aug 17, 2021 · PreprintMicrobiology