Literature DB >> 19921916

Optimization of bacterial whole cell bioreporters for toxicity assay of environmental samples.

Yizhi Song1, Guanghe Li, Steven F Thornton, Ian P Thompson, Steven A Banwart, David N Lerner, Wei E Huang.   

Abstract

In a study to optimize bacterial whole cell biosensors (bioreporters) for the detection of environmental contaminants, we constructed a toxicity sensing strain Acinetobacter baylyi ADP1_recA_lux. The ADP1_recA_lux is a chromosomally based bioreporter which makes the sensing system stable and negates the need for antibiotics to maintain the trait. The AOP1_recA_lux is activated to express bioluminescence when it is exposed to DNA damaging toxicants. Since the ADP1_recA_lux constantly expresses a baseline level of bioluminescence, false negative results are avoided. The host strain, A. baylyi ADP1, is an ideal model strain typical of water and soil bacteria occurring in the natural environment, and it is more robust than E. coli in terms of viability, maintenance, and storage. The expression of reporter genes - luxCDABE cloned from Photorhabdus luminescens - is robust in a broad range of temperature (10-40 degrees C). The ADP1_recA_lux was used to detect a variety of toxic or potentially toxic compounds including mitomycin C (MMC), methyl methanesulfonate, ethidium bromide, H2O2, toluene, single-wall nanocarbon tubes (SWNCT), nano Au colloids (20 nm), pyrene, beno[a]pyrene, and UV light. These exposures revealed that the ADP1_recA_lux was able to detect both genotoxicity and cytoxicity, qualitatively and quantitatively. The optimal induction time of the ADP1_recA_lux bioreporter was 3 h, and the detection limits for MMC and benezo[a]pyrene were 1.5 nM and 0.4 nM, respectively. The ADP1_recA_lux was also used to detect toxicity of groundwater contaminated by a mixture of phenolic compounds, and the bioreporter toxicity detection was in a good agreement with chemical analysis. The optimized whole cell bioreporter ADP1_recA_lux could be valuable in providing a simple, rapid, stable, quantitative, robust, and costly efficient approach for the detection of toxicity in environmental samples.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19921916     DOI: 10.1021/es901349r

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  8 in total

1.  Development and Automation of a Bacterial Biosensor to the Targeting of the Pollutants Toxic Effects by Portable Raman Spectrometer.

Authors:  Oleksandra Bandeliuk; Ali Assaf; Marine Bittel; Marie-Jose Durand; Gérald Thouand
Journal:  Sensors (Basel)       Date:  2022-06-08       Impact factor: 3.847

2.  Genetically modified whole-cell bioreporters for environmental assessment.

Authors:  Tingting Xu; Dan M Close; Gary S Sayler; Steven Ripp
Journal:  Ecol Indic       Date:  2013-05-01       Impact factor: 4.958

3.  Functionalization of whole-cell bacterial reporters with magnetic nanoparticle.

Authors:  Dayi Zhang; Rawil F Fakhrullin; Mustafa Özmen; Hui Wang; Jian Wang; Vesselin N Paunov; Guanghe Li; Wei E Huang
Journal:  Microb Biotechnol       Date:  2011-01       Impact factor: 5.813

4.  Whole-cell bacterial bioreporter for actively searching and sensing of alkanes and oil spills.

Authors:  Dayi Zhang; Yi He; Yun Wang; Hui Wang; Lin Wu; Eric Aries; Wei E Huang
Journal:  Microb Biotechnol       Date:  2011-09-25       Impact factor: 5.813

5.  Contamination, Sources, and Health Risks Associated with Soil PAHs in Rebuilt Land from a Coking Plant, Beijing, China.

Authors:  Wei Cao; Liqin Yin; Dan Zhang; Yingying Wang; Jing Yuan; Yi Zhu; Junfeng Dou
Journal:  Int J Environ Res Public Health       Date:  2019-02-25       Impact factor: 3.390

6.  Chromogenic Escherichia coli reporter strain for screening DNA damaging agents.

Authors:  Josué Daniel Mora-Garduño; Jessica Tamayo-Nuñez; Felipe Padilla-Vaca; Fátima Berenice Ramírez-Montiel; Ángeles Rangel-Serrano; Fernando Santos-Escobar; Félix Gutiérrez-Corona; Itzel Páramo-Pérez; Fernando Anaya-Velázquez; Rodolfo García-Contreras; Naurú Idalia Vargas-Maya; Bernardo Franco
Journal:  AMB Express       Date:  2022-01-06       Impact factor: 3.298

Review 7.  Transcription Factor-Based Biosensors for Detecting Pathogens.

Authors:  Yangwon Jeon; Yejin Lee; Keugtae Kim; Geupil Jang; Youngdae Yoon
Journal:  Biosensors (Basel)       Date:  2022-06-29

8.  A culture-independent approach to unravel uncultured bacteria and functional genes in a complex microbial community.

Authors:  Yun Wang; Yin Chen; Qian Zhou; Shi Huang; Kang Ning; Jian Xu; Robert M Kalin; Stephen Rolfe; Wei E Huang
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.