Evidence map›Paper›PMID 40101260›Full record

ArticleBiochemistry2025

Directed Evolution of a Macrolide-Sensing Transcription Factor Biosensor for the Detection of Macrolactone Aglycones via "Effector Walking" and Efflux Pump Deletion.

Lindsay C La Fleur, Zhongtian Zhang, Christian McRoberts-Amador, Jayani Christopher, Megan Reed, Jianting Zheng, T Ashton Cropp, Gavin J Williams

Abstract read
In one paragraph

Article in Biochemistry, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
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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.

Lindsay C La FleurDepartment of Chemistry, NC State University, Raleigh, North Carolina 27695-8204, United States.
Zhongtian ZhangDepartment of Chemistry, NC State University, Raleigh, North Carolina 27695-8204, United States.
Christian McRoberts-AmadorDepartment of Chemistry, NC State University, Raleigh, North Carolina 27695-8204, United States.
Jayani ChristopherDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Megan ReedDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Jianting ZhengSchool of Life Sciences and Biotechnology, State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai200240, China.ORCID 0000-0003-1250-3556
T Ashton CroppDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Gavin J WilliamsDepartment of Chemistry, NC State University, Raleigh, North Carolina 27695-8204, United States.ORCID 0000-0003-2172-9063

Funding

Designer biosensors for directed evolution of macrolide biosynthetic enzymesR01GM124112 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI CROPP, THOMAS ASHTON, WILLIAMS, GAVIN J · 2018 to 2021
$1.1M
NIGMS NIH HHS R01 GM124112
6 · The paper itself

Abstract

Glycosylated macrolactones (macrolides) often display broad and potent biological activities and are targets for drug development and discovery. The modular genetic organization of macrolide polyketide synthases (PKSs) and various polyketide tailoring enzymes has inspired the combinatorial biosynthesis of new-to-nature macrolides. However, most engineered PKS and macrolide biosynthetic pathways are ineffective and produce reduced or negligible product titers. Directed evolution could improve the activity of engineered PKSs and associated pathways but critically requires a high-throughput screen to identify active variants from large libraries. Transcription factor-based biosensors can be used for this purpose. However, the effector specificity of the only known macrolide-sensing transcription factor MphR is limited to macrolides modified with the sugar, desosamine. The potential applications of MphR are subsequently limited, ruling out the possibility of leveraging MphR to screen libraries of pathway variants that make macrolactones that lack sugars (i.e., macrolide aglycones) such as the direct products of PKSs. In this study, we aimed to engineer the effector specificity of the MphR biosensor strain for detecting macrolide aglycones. By developing an "effector walking" strategy coupled with efflux pump deletion, the effector profile of MphR was dramatically broadened to include several erythronolide macrolactones. This work sets the stage for applying directed evolution and other high-throughput screening approaches to various PKSs. Our results suggest a broadly applicable approach to developing biosensors that detect ligands that are very different in structure from the native effector.

Indexed as

Bacterial ProteinsBiosensing TechniquesDirected Molecular EvolutionLactonesMacrolidesTranscription FactorsEscherichia coliPolyketide SynthasesBacterial ProteinsLactonesMacrolidesPolyketide SynthasesTranscription Factors

Identifiers

PMID40101260
PMCPMC12459332

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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.