Evidence map›Paper›PMID 32277291›Full record

ArticleAMB Express2020

Directed evolution of a transcription factor PbrR to improve lead selectivity and reduce zinc interference through dual selection.

Xiaoqiang Jia, Yubing Ma, Rongrong Bu, Tingting Zhao, Kang Wu

Abstract read
In one paragraph

Article in AMB Express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  10. Synthetic bacteria for the detection and bioremediation of heavy metals.Frontiers in bioengineering and biotechnology · 2023
    Review
  11. Article
  12. 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

5 authors.

Xiaoqiang JiaDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China. xqjia@tju.edu.cn.
Yubing MaDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Rongrong BuDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Tingting ZhaoDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, People's Republic of China.
Kang WuDepartment of Chemical Engineering, University of New Hampshire, Durham, NH, 03824, USA. Kang.Wu@unh.edu.

Funding

the National Key Research and Development Program of China No. 2018YFA0902100the National Natural Science Foundation of China No. 21576197Tianjin Research Program of Application Foundation and Advanced Technology No. 18JCYBJC23500
6 · The paper itself

Abstract

Directed evolution has been proven as a powerful tool for developing proteins and strains with novel or enhanced features. In this study, a dual selection system was designed to tune the binding specificity of a transcription factor to a particular ligand with the ampicillin resistance gene amp (ON selection) as the positive selection marker and the levansucrase gene sacB (OFF selection) as the negative selection marker. It was applied to the lead responsive transcription factor PbrR in a whole-cell lead biosensor previously constructed in our lab (Jia et al. in Fems Microbiol Lett 365:fny157, 2018). After multiple rounds of ON-OFF selection, two mutants with higher specificity for lead were selected. Structural analysis revealed that the mutation C134 located on the metal-binding loop at the C-terminal of PbrR is likely associated with the enhanced binding to both lead and cadmium. The double mutations D64A and L68S close to the metal-binding residue C79 may lead to the reduced binding specificity toward zinc ions. This dual selection system can be applied to engineer the specificity of other transcription factors and provide fine-tuned tools to synthetic biology.

Indexed as

Directed evolutionDual selection systemPbrRSpecificityTranscription factor

Identifiers

PMID32277291
PMCPMC7148400

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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.