Author

C. L. Sun

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· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:differential expression· 2 Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

J. F. Banfield· 2 shared M. B. Sullivan· 2 shared A. Chew· 1 shared A. Greenlon· 1 shared A. Robaczewska· 1 shared B. A. Hungate· 1 shared B. C. Thomas· 1 shared B. J. Koch· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

J. F. Banfield

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Author profile →

3 papers

Recent·Most cited

Quantitative stable-isotope probing (qSIP) with metagenomics links microbial physiology and activity to soil moisture in Mediterranean-climate grassland ecosystems

A. Greenlon, E. T. Sieradzki, O. Zablocki, B. J. Koch, M. M. Foley, J. A. Kimbrel, B. A. Hungate, S. J. Blazewicz, E. E. Nuccio, C. L. Sun, A. Chew, C.-J. Mancilla, M. B. Sullivan, M. K. Firestone, J. Pett-Ridge, J. F. Banfield

This study uses qSIP with metagenomics to link microbial activity and physiology to soil moisture in Mediterranean grasslands, finding that precipitation levels influence microbial growth and phage dynamics.

bioRxiv · May 2, 2022Microbiology

Genome-resolved viral ecology in a marine oxygen minimum zone (OMZ)

D. Vik, C. L. Sun, M. C. Gazitua, M. Aldunate, M. R. Mulholland, O. Ulloa, M. B. Sullivan

This study analyzes viral metagenomes from an OMZ to reveal ecological patterns and diversity, finding low viral diversity and high endemism in anoxic waters.

Environmental Microbiology · Nov 23, 2020Peer-reviewedMicrobiology

Metagenomic analysis with strain-level resolution reveals fine-scale variation in the human pregnancy microbiome

D. S. A. Goltsman, C. L. Sun, D. M. Proctor, D. B. DiGiulio, A. Robaczewska, B. C. Thomas, G. M. Shaw, D. K. Stevenson, S. P. Holmes, J. F. Banfield, D. A. Relman

This study uses metagenomic analysis with strain-level resolution to examine the human pregnancy microbiome, revealing gestational age and health complications influence microbial community composition and function.

bioRxiv · Aug 21, 2018Microbiology