Evidence map›Paper›PMID 36377311›Full record

ArticleACS infectious diseases2022

Experimental and

Melissa Standley, Vincent Blay, Violeta Beleva Guthrie, Jay Kim, Audrey Lyman, Andrés Moya, Rachel Karchin, Manel Camps

Open access · hybridAbstract read
In one paragraph

Article in ACS infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 3 institutions in 2 countries.

Melissa StandleyDepartment of Microbiology and Environmental Toxicology, University of California, Santa Cruz, California95064, United States.
Vincent BlayDepartment of Microbiology and Environmental Toxicology, University of California, Santa Cruz, California95064, United States.ORCID 0000-0001-9602-2375
Violeta Beleva GuthrieDepartment of Biomedical Engineering and Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland21218, United States.
Jay KimDepartment of Microbiology and Environmental Toxicology, University of California, Santa Cruz, California95064, United States.
Audrey LymanDepartment of Microbiology and Environmental Toxicology, University of California, Santa Cruz, California95064, United States.
Andrés MoyaInstitute for Integrative Systems Biology (I2Sysbio), Universitat de València and Spanish Research Council (CSIC), 46980Valencia, Spain.
Rachel KarchinDepartment of Biomedical Engineering and Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland21218, United States.
Manel CampsDepartment of Microbiology and Environmental Toxicology, University of California, Santa Cruz, California95064, United States.
University of California, Santa Cruz · USJohns Hopkins University · USUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple mutations often have non-additive (epistatic) phenotypic effects. Epistasis is of fundamental biological relevance but is not well understood mechanistically. Adaptive evolution, i.e., the evolution of new biochemical activities, is rich in epistatic interactions. To better understand the principles underlying epistasis during genetic adaptation, we studied the evolution of TEM-1 β-lactamase variants exhibiting cefotaxime resistance. We report the collection of a library of 487 observed evolutionary trajectories for TEM-1 and determine the epistasis status based on cefotaxime resistance phenotype for 206 combinations of 2-3 TEM-1 mutations involving 17 positions under adaptive selective pressure. Gain-of-function (GOF) mutations are gatekeepers for adaptation. To see if GOF phenotypes can be inferred based solely on sequence data, we calculated the enrichment of GOF mutations in the different categories of epistatic pairs. Our results suggest that this is possible because GOF mutations are particularly enriched in sign and reciprocal sign epistasis, which leave a major imprint on the sequence space accessible to evolution. We also used FoldX to explore the relationship between thermodynamic stability and epistasis. We found that mutations in observed evolutionary trajectories tend to destabilize the folded structure of the protein, albeit their cumulative effects are consistently below the protein's free energy of folding. The destabilizing effect is stronger for epistatic pairs, suggesting that modest or local alterations in folding stability can modulate catalysis. Finally, we report a significant relationship between epistasis and the degree to which two protein positions are structurally and dynamically coupled, even in the absence of ligand.

Indexed as

Bacteriabeta-LactamasesDrug Resistance, BacterialEvolution, MolecularCefotaximeEpistasis, GeneticGain of Function MutationProtein Foldingbeta-Lactamasesbeta-lactamase TEM-1Cefotaximeantibiotic resistancecontingencyepistasisevolutionfitness landscapeselection

Identifiers

PMID36377311
PMCPMC9745794
OpenAlexW4309026377

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.