Evidence map›Paper›PMID 40637449›Full record

ArticleApplied and environmental microbiology2025

Optimized genetic circuitry and reporters for sensitive whole-cell arsenic biosensors: advancing environmental monitoring.

Yan Guo, Ming-Qi Liu, Xue-Qin Yang, Ying-Yan Guo, Chang-Ye Hui

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Yan GuoNational Key Clinical Specialty of Occupational Diseases, Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.ORCID 0009-0002-1347-3942
Ming-Qi LiuSchool of Public Health, Guangdong Medical University, Dongguan, China.
Xue-Qin YangPathology and Toxicology Institute, Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.
Ying-Yan GuoPathology and Toxicology Institute, Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, China.
Chang-Ye HuiSchool of Public Health, Guangdong Medical University, Dongguan, China.ORCID 0000-0002-0958-1986

Funding

Natural Science Foundation of Guangdong Province 2023A1515011184Natural Science Foundation of Shenzhen Municipality JCYJ20230807151400002Natural Science Foundation of Shenzhen Municipality JCYJ20240813162259005
6 · The paper itself

Abstract

The ubiquitous presence of arsenic pollution poses a significant threat to both ecosystem integrity and human health, necessitating the development of sensitive methods for arsenic detection. This study presents the development of innovative whole-cell biosensors that leverage the ArsR regulatory system within both naturally coupled and non-coupled genetic circuits, specifically optimized for detecting the highly toxic arsenic species (As(III)). These biosensors incorporate an indigoidine pigment as a reporting system and utilize the glycerol facilitator protein (GlpF) to enhance arsenic transport, offering a significant advantage over conventional detection methods by streamlining the detection process and eliminating the requirement for specialized instrumentation. Our findings reveal that the indigoidine-based biosensor, TOP10/pnK12-ABS-ind, in particular, exhibits an extensive linear detection range of 0.039 to 20 μM across various water matrices, effectively adhering to and exceeding the arsenic detection guidelines set by the World Health Organization and Chinese national standards. This research advances arsenic biosensing technology by developing a practical, cost-effective detection solution for arsenic in various aquatic settings. Compared to our previous work, this study demonstrates significant improvements in detection range and sensitivity while highlighting the importance of tailored genetic circuit design based on the reporter's choice.IMPORTANCEArsenic pollution poses a significant threat to global ecosystems and human health, with millions of people at risk of exposure through contaminated water sources. Detecting arsenic, especially in its highly toxic form (As(III)), is crucial for environmental monitoring and public health protection. However, conventional detection methods often require costly equipment and specialized expertise, limiting their feasibility in resource-limited regions. Our study addresses this challenge by developing whole-cell biosensors that leverage natural genetic circuits and a novel indigoidine pigment reporter. These biosensors offer a practical, cost-effective, and portable solution for arsenic detection, streamlining the process and eliminating the need for complex instrumentation. By enabling real-time monitoring and on-site analysis, our biosensors have the potential to significantly enhance environmental monitoring capabilities, facilitate timely remediation efforts, and safeguard public health in areas affected by arsenic contamination.

Indexed as

ArsenicBiosensing TechniquesEnvironmental MonitoringGene Regulatory NetworksWater Pollutants, ChemicalArsenicWater Pollutants, Chemicalarsenic pollutionArsR regulatory systemenvironmental monitoringgenetic circuitsindigoidine pigmentwhole-cell biosensors

Identifiers

PMID40637449
PMCPMC12366313

What Socratic holds

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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 Socratic graph.