Author

J. A. Ascensao

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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Evolutionary Biology· 4

Signature Assays, Organisms & Methods

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Organism:E. coli· 3 Approach:experimental assay· 3 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:ecology & biodiversity· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

O. Hallatschek· 4 shared K. Lok· 2 shared K. M. Wetmore· 2 shared Q. Yu· 2 shared A. P. Arkin· 1 shared B. H. Good· 1 shared E. Volz· 1 shared J. Denk· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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4 shared papersEvolutionary Biology

O. Hallatschek

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Author profile →

4 papers

Recent·Most cited

Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England

Q. Yu, J. A. Ascensao, T. Okada, The COVID-19 Genomics UK (COG-UK) consortium, O. Boyd, E. Volz, O. Hallatschek

This paper develops a method to estimate genetic drift in SARS-CoV-2 transmission using lineage frequency time series and applies it to genomic data from England, finding consistently higher genetic drift than expected.

PLOS Pathogens · Apr 15, 2024Peer-reviewedEvolutionary Biology

Asynchronous abundance fluctuations can drive giant genotype frequency fluctuations

J. A. Ascensao, K. Lok, O. Hallatschek

The paper shows that asynchronous abundance fluctuations can cause large genotype frequency changes in microbial populations, distinct from genetic drift.

bioRxiv · Feb 23, 2024Evolutionary Biology

Rediversification Following Ecotype Isolation Reveals Hidden Adaptive Potential

J. A. Ascensao, J. Denk, K. Lok, Q. Yu, K. M. Wetmore, O. Hallatschek

The paper shows that two-ecotype microbial communities can rediversify into two ecotypes after isolation, with similar patterns despite evolutionary time, but with differences in growth traits and transcriptional states.

bioRxiv · May 3, 2023Evolutionary Biology

Quantifying the Local Adaptive Landscape of a Nascent Bacterial Community

J. A. Ascensao, K. M. Wetmore, B. H. Good, A. P. Arkin, O. Hallatschek

The paper quantifies the adaptive potential of a bacterial community by measuring gene knockout fitness effects across different genetic backgrounds and ecological conditions.

bioRxiv · Feb 3, 2022Evolutionary Biology