Author

D. A. Caron

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

Biology Disciplines

Click to filter author papers

Ecology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. E. White· 1 shared A. I. Krinos· 1 shared A. R. Coenen· 1 shared B. L. Tully· 1 shared C. L. Follett· 1 shared C. Neely· 1 shared D. Demory· 1 shared D. Lindell· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEcology

A. E. White

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NetGAM: Using generalized additive models to improve the predictive power of ecological network analyses constructed using time-series data

S. J. Gleich, J. A. Cram, J. L. Weissman, D. A. Caron

This study introduces a generalized additive model (GAM) to remove time-series signals from ecological data, improving the accuracy of inferred ecological networks.

ISME Communications · Mar 10, 2022Peer-reviewedEcology

Estimating global variation in the maximum growth rates of eukaryotic microbes from cultures and metagenomes via codon usage patterns

J. Weissman, E.-R. O. Dimbo, A. I. Krinos, C. Neely, Y. Yagues, D. Nolin, S. Hou, S. Laperriere, D. A. Caron, B. L. Tully, H. Alexander, J. A. Fuhrman

The paper estimates maximum growth rates of eukaryotic microbes using codon usage patterns from genomes and metagenomes, revealing differences in growth potential between prokaryotic and eukaryotic communities in marine environments.

bioRxiv · Oct 15, 2021 · PreprintMicrobiology

Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre

S. J. Beckett, D. Demory, A. R. Coenen, J. R. Casey, M. Dugenne, C. L. Follett, P. Connell, M. C. G. Carlson, S. K. Hu, S. T. Wilson, D. Muratore, R. A. Rodriguez-Gonzalez, S. Peng, K. W. Becker, D. R. Mende, , J. S. Weitz

The paper develops multitrophic models to investigate top-down and bottom-up drivers of Prochlorococcus population dynamics in the North Pacific Subtropical Gyre, finding grazers are the primary top-down factor despite high viral densities.

bioRxiv · Jun 15, 2021Ecology