Author

Katherine T. Charton

University of MinnesotaORCID 0000-0002-0869-7899Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:plant (other)· 1

Frequent Co-Authors

Aaron S. DavidiD· 1 shared Brianna K. AlmeidaiD· 1 shared Caitlin C. MothesiD· 1 shared Christopher A. SearcyiD· 1 shared Daniel RevilliniiD· 1 shared Michelle E. AfkhamiiD· 1 shared Stephanie M. KoontziD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperEcology

Aaron S. DavidORCID

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1 paper

Recent·Most cited

EcologybioRxivPreprintOct 14, 2025

The microbial landscape: soil microbiome properties predict plant species distributions

Daniel Revillini, Caitlin C. Mothes, Brianna K. Almeida…·Christopher A. Searcy

The paper uses machine learning to show that soil microbiome properties can predict plant species distributions, with microbial predictors being as important as abiotic factors for some species.

1 citation

plant (other)metagenomics

𝕏 PostBluesky