Evidence map›Paper›PMID 30922874›Full record

ArticleJournal of molecular biology2019

Pervasive Pairwise Intragenic Epistasis among Sequential Mutations in TEM-1 β-Lactamase.

Courtney E Gonzalez, Marc Ostermeier

Abstract read
In one paragraph

Article in Journal of molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme.Interdisciplinary sciences, computational life sciences · 2026
    Article
  5. Article
  6. ΦX174 bacteriophage viability predicted by protein biophysical modeling.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. A protein dynamics-based deep learning model enhances predictions of fitness and epistasis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Biophysics-based protein language models for protein engineering.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Network of epistatic interactions in an enzyme active site revealed by large-scale deep mutational scanning.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Experimental andACS infectious diseases · 2022
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Courtney E GonzalezDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.
Marc OstermeierDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA. Electronic address: oster@jhu.edu.

Funding

Experimentally-determined fitness landscape of beta-lactamase inhibitory proteinF31GM101941 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GONZALEZ, COURTNEY ELAINE · 2012 to 2015
$170k
NIGMS NIH HHS F31 GM101941
6 · The paper itself

Abstract

Interactions between mutations play a central role in shaping the fitness landscape, but a clear picture of intragenic epistasis has yet to emerge. To further reveal the prevalence and patterns of intragenic epistasis, we present a survey of epistatic interactions between sequential mutations in TEM-1 β-lactamase. We measured the fitness effect of ~12,000 pairs of consecutive amino acid substitutions and used our previous study of the fitness effects of single amino acid substitutions to calculate epistasis for over 8000 mutation pairs. Since sequential mutations are prone to physically interact, we postulated that our study would be surveying specific epistasis instead of nonspecific epistasis. We found widespread negative epistasis, especially in beta-strands, and a high frequency of negative sign epistasis among individually beneficial mutations. Negative epistasis (52%) occurred 7.6 times as frequently as positive epistasis (6.8%). Buried residues experienced more negative epistasis that surface-exposed residues. However, TEM-1 exhibited a couple of hotspots for positive epistasis, most notably L221/ R222 at which many combinations of mutations positively interacted. This study is the first to systematically examine pairwise epistasis throughout an entire protein performing its native function in its native host.

Indexed as

Amino Acid Substitutionbeta-LactamasesEpistasis, GeneticEscherichia coliEscherichia coli InfectionsEscherichia coli ProteinsEvolution, MolecularGenetic FitnessHumansModels, MolecularMutationProtein Conformationbeta-Lactamasesbeta-lactamase TEM-1Escherichia coli Proteinsantibiotic resistance proteinepistasisfitness landscapesprotein evolution

Identifiers

PMID30922874
PMCPMC6502654

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.