Author

J. G. Lopez

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· 2 Microbiology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

A. B. Parrott· 1 shared A. Erez· 1 shared A. S. Payne· 1 shared B. H. Good· 1 shared B. P. Bratton· 1 shared D. A. Goldman· 1 shared D. A. Petrov· 1 shared D. A. Relman· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperEcology

A. B. Parrott

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Competition for shared resources increases dependence on initial population size during coalescence of gut microbial communities

D. A. Goldman, K. S. Xue, A. B. Parrott, R. R. Jeeda, L. R. Franzese, J. G. Lopez, J. C. Vila, D. A. Petrov, B. H. Good, D. A. Relman, K. C. Huang

This study shows how initial population size and resource competition shape gut microbial community coalescence, with dose-dependent effects persisting even after many generations.

bioRxiv · Nov 29, 2023Ecology

Grow now, pay later: when should a bacterium go into debt?

J. G. Lopez, A. Erez

The paper introduces a mathematical model of microbial 'growth debt' and shows how debtors can coexist with non-debtors under certain conditions, with implications for antibiotic resistance.

bioRxiv · Jul 26, 2023Ecology

Bacterial DNA on the skin surface overrepresents the viable skin microbiome

E. M. Acosta, K. A. Little, B. P. Bratton, J. G. Lopez, X. Mao, A. S. Payne, M. S. Donia, D. Devenport, Z. Gitai

This study shows that viable bacteria in the skin microbiome are mainly in hair follicles, not on the skin surface, and that surface DNA mostly comes from dead cells.

bioRxiv · Aug 16, 2021Microbiology

Noisy metabolism can drive the evolution of microbial cross-feeding

J. G. Lopez, N. S. Wingreen

This paper introduces a theory for the evolution of microbial cross-feeding called noise-averaging cooperation, showing that metabolic noise can drive the evolution of metabolite sharing among related bacteria.

bioRxiv · Jun 2, 2021Microbiology