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Joanna Masel

Joanna Masel

· Ecology & Evolutionary Biology

University of Arizona · Physics

Active 1989–2026

h-index35
Citations6.0k
Papers15157 last 5y
Funding$1.7M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Joanna Masel is a faculty member in the Ecology & Evolutionary Biology department at the University of Arizona. Her research interests include theoretical population genetics, evolution of robustness, and evolvability. She is involved in exploring the mathematical and biological principles underlying genetic variation and evolutionary processes, contributing to the understanding of how organisms adapt and evolve over time.

Research topics

  • Biology
  • Medicine
  • Internal medicine
  • Demography
  • Virology
  • Genetics
  • Psychology
  • Psychiatry
  • Bioinformatics
  • Pediatrics

Selected publications

  • The timing of COVID-19 transmission

    medRxiv (Cold Spring Harbor Laboratory) · 2020 · 118 citations

    Abstract The timing of SARS-CoV-2 transmission is a critical factor to understand the epidemic trajectory and the impact of isolation, contact tracing and other non-pharmaceutical interventions on the spread of COVID-19 epidemics. We examined the distribution of transmission events with respect to exposure and onset of symptoms. We show that for symptomatic individuals, the timing of transmission of SARS-CoV-2 is more strongly linked to the onset of clinical symptoms of COVID-19 than to the time…

  • Mutation bias can shape adaptation in large asexual populations experiencing clonal interference

    Proceedings of the Royal Society B Biological Sciences · 2020 · 53 citations

    Senior authorCorresponding

    is surprisingly small, occurring largely when one trait is at the boundary between the origin-fixation and multiple mutations regimes.

  • Order of amino acid recruitment into the genetic code resolved by last universal common ancestor’s protein domains

    Proceedings of the National Academy of Sciences · 2024-12-12 · 30 citations

    articleOpen accessSenior authorCorresponding

    The current "consensus" order in which amino acids were added to the genetic code is based on potentially biased criteria, such as the absence of sulfur-containing amino acids from the Urey-Miller experiment which lacked sulfur. More broadly, abiotic abundance might not reflect biotic abundance in the organisms in which the genetic code evolved. Here, we instead identify which protein domains date to the last universal common ancestor (LUCA) and then infer the order of recruitment from deviation…

  • Background Selection From Unlinked Sites Causes Nonindependent Evolution of Deleterious Mutations

    Genome Biology and Evolution · 2024-03-01 · 10 citations

    articleOpen accessSenior authorCorresponding

    Background selection describes the reduction in neutral diversity caused by selection against deleterious alleles at other loci. It is typically assumed that the purging of deleterious alleles affects linked neutral variants, and indeed simulations typically only treat a genomic window. However, background selection at unlinked loci also depresses neutral diversity. In agreement with previous analytical approximations, in our simulations of a human-like genome with a realistically high genome-wi…

  • Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure

    JMIR Public Health and Surveillance · 2023-10-24 · 10 citations

    reviewOpen access1st authorCorresponding

    Digital contact tracing and notification were initially hailed as promising strategies to combat SARS-CoV-2; however, in most jurisdictions, they did not live up to their promise. To avert a given transmission event, both parties must have adopted the technology, it must detect the contact, the primary case must be promptly diagnosed, notifications must be triggered, and the secondary case must change their behavior to avoid the focal tertiary transmission event. If we approximate these as indep…

Recent grants

Frequent coauthors

  • Jennifer James

    Science for Life Laboratory

    28 shared
  • Catherine Weibel

    University of Arizona

    22 shared
  • Katrin Mende

    San Antonio Military Medical Center

    22 shared
  • Anuradha Ganesan

    Uniformed Services University of the Health Sciences

    22 shared
  • Jason Bertram

    University of Arizona

    21 shared
  • Rhonda E Colombo

    Madigan Army Medical Center

    21 shared
  • David A Lindholm

    Uniformed Services University of the Health Sciences

    21 shared
  • Sara M Willis

    Uppsala University

    19 shared

Education

  • D.Phil., Zoology

    University of Oxford

    2020
  • B.Sc.(Hons), Genetics

    University of Melbourne

    1995

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