Author

R. E. Danczak

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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Ecology· 6 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 6 Assay:metagenomics· 6 Assay:metabolomics· 4 Approach:statistical model· 4 Approach:experimental assay· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

R. K. Chu· 6 shared L. Renteria· 5 shared A. E. Goldman· 4 shared E. B. Graham· 4 shared J. C. Stegen· 4 shared J. G. Toyoda· 3 shared J. Stegen· 3 shared J. Toyoda· 3 shared

Activity by Year

2020-2024 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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6 shared papersEcology

R. K. Chu

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Meta-metabolome ecology reveals that geochemistry and microbial functional potential are linked to organic matter development across seven rivers

R. E. Danczak, A. E. Goldman, M. A. Borton, R. K. Chu, J. G. Toyoda, V. A. Garayburu-Caruso, E. B. Graham, J. W. Morad, L. Renteria, J. R. Hager, S. Arnon, S. Brooks, E. Bar-Zeev, M. Jones, N. Jones, , J. C. Stegen

The paper links geochemistry and microbial functional potential to organic matter development across seven rivers using DOM characterization, geochemical analyses, and shotgun metagenomics.

bioRxiv · Jan 10, 2024 · PreprintEcology

Spatial and temporal metagenomics of river compartments reveals viral community dynamics in an urban impacted stream

J. A. Rodriguez-Ramos, A. Oliverio, M. A. Borton, R. E. Danczak, B. M. Mueller, H. Schulz, J. Ellenbogen, R. M. Flynn, R. A. Daly, L. Schopflin, M. Shaffer, A. Goldman, J. Lewandowski, J. Stegen, K. Wrighton

The paper analyzes spatial and temporal metagenomic data from a wastewater-impacted river to reveal viral and microbial community dynamics and their potential roles in biogeochemical cycles.

bioRxiv · Apr 4, 2023 · PreprintMicrobiology

Implications of sample treatment on characterization of the riverine environmental metabolome

A. R. Nelson, J. Toyoda, R. K. Chu, N. Tolic, V. Garayburu-Caruso, C. M. Saup, L. Renteria, J. R. Wells, J. Stegen, M. J. Wilkins, R. E. Danczak

The paper evaluates how sample treatment and ionization mode affect the characterization of riverine environmental metabolomes using high-resolution mass spectrometry.

bioRxiv · Sep 2, 2021 · PreprintEcology

Using Community Science to Reveal the Global Chemogeography of River Metabolomes

V. A. Garayburu-Caruso, R. E. Danczak, J. Stegen, L. Renteria, M. MacCall, A. E. Goldman, R. K. Chu, J. Toyoda, C. T. Resch, J. M. Torgeson, J. Wells, S. Fansler, S. Kumar, E. B. Graham

This study uses community science to analyze global river metabolomes, revealing differences between surface water and sediment and significant spatial variation in sediment metabolites.

bioRxiv · Nov 2, 2020Ecology

Disturbance Triggers Non-Linear Microbe-Environment Feedbacks

A. Sengupta, S. J. Fansler, R. K. Chu, R. E. Danczak, V. E. Garayburu-Caruso, L. Renteria, H.-S. Song, J. Toyoda, J. Wells, J. C. Stegen

The paper tests a conceptual framework linking microbial communities with environmental factors and processes, finding non-linear feedbacks triggered by disturbance.

bioRxiv · Sep 30, 2020Ecology

Ecological theory applied to environmental metabolomes reveals compositional divergence despite conserved molecular properties

R. E. Danczak, A. E. Goldman, R. K. Chu, J. G. Toyoda, V. A. Garayburu-Caruso, N. Tolic, E. B. Graham, J. Morad, L. Renteria, J. R. Wells, S. P. Herzog, A. S. Ward, J. C. Stegen

The paper applies ecological theory to environmental metabolomes, revealing compositional divergence despite conserved molecular properties through the concept of thermodynamic redundancy.

bioRxiv · Feb 12, 2020Ecology

Unification of Environmental Metabolomics with Metacommunity Ecology

R. E. Danczak, R. K. Chu, S. J. Fansler, A. E. Goldman, E. B. Graham, M. M. Tfaily, J. G. Toyoda, J. C. Stegen

The paper unifies environmental metabolomics with metacommunity ecology to analyze NOM composition using ecological metrics and dendrograms.

bioRxiv · Jan 31, 2020 · PreprintEcology