Evidence map›Paper›PMID 42124703›Full record

ArticlebioRxiv : the preprint server for biology2026

Saturation mutagenesis map of generalist versus specialist adaptations of β-lactamase to novel antibiotics.

Ilona K Gaszek, Muhammed S Yildiz, Levent Sari, Ayesha Ahmed, Erdal Toprak, Milo M Lin

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ilona K GaszekGreen Center for Systems Biology, Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Muhammed S YildizDepartment of Pharmacology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Levent SariGreen Center for Systems Biology, Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Ayesha AhmedDepartment of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Erdal ToprakGreen Center for Systems Biology, Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-4883-7681
Milo M LinGreen Center for Systems Biology, Lyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

Mapping epistatic interactions in molecular evolution of antibiotic resistanceR01GM125748 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Erdal Toprak · 2018 to 2026
$3.6M
Discovering interpretable mechanisms explaining high dimensional biomolecular dataR35GM150897 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Milo Lin · 2023 to 2026
$1.6M
NIGMS NIH HHS R01 GM125748NIGMS NIH HHS R35 GM150897
6 · The paper itself

Abstract

The evolution of β-lactamase proteins is shaped by the need to maintain enzymatic activity against previously prevalent β-lactam antibiotics while expanding substrate range against new classes of antibiotics. Using saturation mutagenesis and sequence-barcoding-based quantification, we comprehensively mapped the response of the fitness landscape of TEM-1 β-lactamase, which evolved against penicillin-class antibiotics, to mutational perturbations against six diverse β-lactam antibiotics. This systematic panel of antibiotic substrates, including representatives from penicillin, cephalosporin, and monobactam classes, allowed us to classify resistance mutations into two categories. Generalist mutations conferred resistance to multiple antibiotics and were consistently restricted to three positions critical for substrate recognition and catalytic function R164, G238, and E240. These substitutions produced broad spectrum resistance through mechanisms such as expansion of the active site and improved substrate accommodation. In contrast, specialist mutations conferred resistance to only a single antibiotic and exhibited much wider positional diversity. Ceftazidime selection yielded the greatest number of distinct specialist mutations, which were frequently found in flexible or peripheral regions including the omega loop. One especially unexpected finding was the identification of the E166P variant. E166 is a catalytic residue required for deacylation during hydrolysis, and substitutions at this site are generally assumed to abolish function. However, E166P conferred a significant increase in ceftazidime resistance despite eliminating activity against penicillins. Molecular dynamics simulations and mutational analysis revealed that the E166P mutant employs an alternative catalytic mechanism, involving residue N132, rather than the canonical pathway. Together, our findings reveal, at the molecular level, how specialist mutations open up a wide range of diverse and idiosyncratic solutions at the expense of generalizability. These insights may inform strategic design of antibiotic administration protocols to systematically lower pathogenic evolvability.

Identifiers

PMID42124703
PMCPMC13160169

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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.