1
|
Shafiei N, Mahmoodzadeh Hosseini H, Amani J, Mirhosseini SA, Jafary H. Screening and identification of DNA nucleic acid aptamers against F1 protein of Yersinia pestis using SELEX method. Mol Biol Rep 2024; 51:722. [PMID: 38829419 DOI: 10.1007/s11033-024-09561-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 04/16/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Yersinia pestis is a bacterium that causes the disease plague. It has caused the deaths of many people throughout history. The bacterium possesses several virulence factors (pPla, pFra, and PYV). PFra plasmid encodes fraction 1 (F1) capsular antigen. F1 protein protects the bacterium against host immune cells through phagocytosis process. This protein is specific for Y. pestis. Many diagnostic techniques are based on molecular and serological detection and quantification of F1 protein in different food and clinical samples. Aptamers are small nucleic acid sequences that can act as specific ligands for many targets.This study, aimed to isolate the high-affinity ssDNA aptamers against F1 protein. METHODS AND RESULTS In this study, SELEX was used as the main strategy in screening aptamers. Moreover, enzyme-linked aptamer sorbent assay (ELASA) and surface plasmon resonance (SPR) were used to determine the affinity and specificity of obtained aptamers to F1 protein. The analysis showed that among the obtained aptamers, the three aptamers of Yer 21, Yer 24, and Yer 25 were selected with a KD value of 1.344E - 7, 2.004E - 8, and 1.68E - 8 M, respectively. The limit of detection (LoD) was found to be 0.05, 0.076, and 0.033 μg/ml for Yer 21, Yer 24, and Yer 25, respectively. CONCLUSION This study demonstrated that the synthesized aptamers could serve as effective tools for detecting and analyzing the F1 protein, indicating their potential value in future diagnostic applications.
Collapse
Affiliation(s)
- Nafiseh Shafiei
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Hamideh Mahmoodzadeh Hosseini
- Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
| | - Jafar Amani
- Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Seyed Ali Mirhosseini
- Applied Microbiology Research Center, Biomedicine Technologies Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hanieh Jafary
- Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
| |
Collapse
|
2
|
Wen P, Yang F, Zhao H, Xu Y, Li S, Chen L. Novel Digital SERS-Microfluidic Chip for Rapid and Accurate Quantification of Microorganisms. Anal Chem 2024; 96:1454-1461. [PMID: 38224075 DOI: 10.1021/acs.analchem.3c03515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
In this work, we present a simple and novel digital surface-enhanced Raman spectroscopy (SERS)-microfluidic chip designed for the rapid and accurate quantitative detection of microorganisms. The chip employs a high-density inverted pyramid microcavity (IPM) array to separate and isolate microbial samples. The presence or absence of target microorganisms is determined by scanning the IPM array using SERS and identifying the characteristic Raman bands. This approach allows for the "digitization" of the SERS response of each IPM, enabling quantification through the application of mathematical statistical techniques. Significantly, precise quantitative detection of yeast was achieved within a concentration range of 106-109 cells/mL, with the maximum relative standard deviation from the concentration calibrated by the cultivation method being 5.6%. This innovative approach efficiently addresses the issue of irregularities in SERS quantitative detection, which arises due to fluctuations in SERS intensity and poor reproducibility. We strongly believe that this digital SERS-microfluidic chip holds immense potential for diverse applications in the rapid detection of various microorganisms, including pathogenic bacteria and viruses.
Collapse
Affiliation(s)
- Ping Wen
- College of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
- School of Intelligent Manufacturing, Sichuan University of Arts and Science, Dazhou 635000, China
| | - Feng Yang
- School of Artificial Intelligence, Chongqing Key Laboratory of Intelligent Perception and Blockchain, Chongqing Technology and Business University, Chongqing 400067, China
| | - Haixia Zhao
- College of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
| | - Yi Xu
- College of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
| | - Shunbo Li
- College of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
| | - Li Chen
- College of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Key Disciplines Lab of Novel Micro-Nano Devices and System Technology, Chongqing University, Chongqing 400044, China
| |
Collapse
|
3
|
Haikukutu L, Lyaku JR, Lyimo CM, Eiseb SJ, Makundi RH, Olayemi A, Wilhelm K, Müller-Klein N, Schmid DW, Fleischer R, Sommer S. Immunogenetics, sylvatic plague and its vectors: insights from the pathogen reservoir Mastomys natalensis in Tanzania. Immunogenetics 2023; 75:517-530. [PMID: 37853246 PMCID: PMC10651713 DOI: 10.1007/s00251-023-01323-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 10/08/2023] [Indexed: 10/20/2023]
Abstract
Yersinia pestis is a historically important vector-borne pathogen causing plague in humans and other mammals. Contemporary zoonotic infections with Y. pestis still occur in sub-Saharan Africa, including Tanzania and Madagascar, but receive relatively little attention. Thus, the role of wildlife reservoirs in maintaining sylvatic plague and spillover risks to humans is largely unknown. The multimammate rodent Mastomys natalensis is the most abundant and widespread rodent in peri-domestic areas in Tanzania, where it plays a major role as a Y. pestis reservoir in endemic foci. Yet, how M. natalensis' immunogenetics contributes to the maintenance of plague has not been investigated to date. Here, we surveyed wild M. natalensis for Y. pestis vectors, i.e., fleas, and tested for the presence of antibodies against Y. pestis using enzyme-linked immunosorbent assays (ELISA) in areas known to be endemic or without previous records of Y. pestis in Tanzania. We characterized the allelic and functional (i.e., supertype) diversity of the major histocompatibility complex (MHC class II) of M. natalensis and investigated links to Y. pestis vectors and infections. We detected antibodies against Y. pestis in rodents inhabiting both endemic areas and areas considered non-endemic. Of the 111 nucleotide MHC alleles, only DRB*016 was associated with an increased infestation with the flea Xenopsylla. Surprisingly, we found no link between MHC alleles or supertypes and antibodies of Y. pestis. Our findings hint, however, at local adaptations towards Y. pestis vectors, an observation that more exhaustive sampling could unwind in the future.
Collapse
Affiliation(s)
- Lavinia Haikukutu
- Department of Wildlife Management, Sokoine University of Agriculture, Morogoro, Tanzania.
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany.
- Africa Centre of Excellence for Innovative Rodent Pest Management and Biosensor Technology Development, Sokoine University of Agriculture, Morogoro, Tanzania.
| | - Japhet R Lyaku
- Department of Paraclinical Studies, School of Veterinary Medicine, University of Namibia, Windhoek, Namibia
| | - Charles M Lyimo
- Department of Animal, Aquaculture and Range Sciences, Sokoine University of Agriculture, Chuo Kikuu, Morogoro, Tanzania
| | - Seth J Eiseb
- Department of Environmental Sciences, University of Namibia, Windhoek, Namibia
| | - Rhodes H Makundi
- Africa Centre of Excellence for Innovative Rodent Pest Management and Biosensor Technology Development, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Ayodeji Olayemi
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
- Natural History Museum, Obafemi Awolowo University, Ile Ife, Osun State, Nigeria
| | - Kerstin Wilhelm
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - Nadine Müller-Klein
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - Dominik W Schmid
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - Ramona Fleischer
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| | - Simone Sommer
- Institute of Evolutionary Ecology and Conservation Genomics, University of Ulm, Ulm, Germany
| |
Collapse
|
4
|
Liu L, Ma W, Wang X, Li S. Recent Progress of Surface-Enhanced Raman Spectroscopy for Bacteria Detection. BIOSENSORS 2023; 13:350. [PMID: 36979564 PMCID: PMC10046079 DOI: 10.3390/bios13030350] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/28/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
There are various pathogenic bacteria in the surrounding living environment, which not only pose a great threat to human health but also bring huge losses to economic development. Conventional methods for bacteria detection are usually time-consuming, complicated and labor-intensive, and cannot meet the growing demands for on-site and rapid analyses. Sensitive, rapid and effective methods for pathogenic bacteria detection are necessary for environmental monitoring, food safety and infectious bacteria diagnosis. Recently, benefiting from its advantages of rapidity and high sensitivity, surface-enhanced Raman spectroscopy (SERS) has attracted significant attention in the field of bacteria detection and identification as well as drug susceptibility testing. Here, we comprehensively reviewed the latest advances in SERS technology in the field of bacteria analysis. Firstly, the mechanism of SERS detection and the fabrication of the SERS substrate were briefly introduced. Secondly, the label-free SERS applied for the identification of bacteria species was summarized in detail. Thirdly, various SERS tags for the high-sensitivity detection of bacteria were also discussed. Moreover, we emphasized the application prospects of microfluidic SERS chips in antimicrobial susceptibility testing (AST). In the end, we gave an outlook on the future development and trends of SERS in point-of-care diagnoses of bacterial infections.
Collapse
Affiliation(s)
- Lulu Liu
- College of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
| | - Wenrui Ma
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
- Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| | - Xiang Wang
- Department of Mechanical Engineering, Dongguan University of Technology, Dongguan 523808, China
| | - Shunbo Li
- Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
- Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China
| |
Collapse
|
5
|
Song X, Wang H, Xu X. Amikacin- and AuNP-mediated colorimetric biosensor for the rapid and sensitive detection of bacteria. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.114189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
6
|
Liu YQ, Zhu W, Yuan Q, Hu JM, Zhang X, Shen AG. Photoreduced Ag+ surrounding single poly(4-cyanostyrene) nanoparticles for undifferentiated SERS sensing and killing of bacteria. Talanta 2022; 245:123450. [DOI: 10.1016/j.talanta.2022.123450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/30/2022] [Accepted: 04/03/2022] [Indexed: 11/26/2022]
|
7
|
Li Q, Zhang F, Lu Y, Hu H, Wang J, Guo C, Deng Q, Liao C, Wu Q, Hu T, Chen Z, Lu J. Highly potent multivalent VHH antibodies against Chikungunya isolated from an alpaca naïve phage display library. J Nanobiotechnology 2022; 20:231. [PMID: 35568912 PMCID: PMC9107221 DOI: 10.1186/s12951-022-01417-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/07/2022] [Indexed: 11/12/2022] Open
Abstract
Background Chikungunya virus (CHIKV) is a re-emerged mosquito-borne alphavirus that can cause musculoskeletal diseases, imposing a substantial threat to public health globally. High-affinity antibodies are need for diagnosis and treatment of CHIKV infections. As a potential diagnostic and therapeutic agent, the multivalent VHH antibodies is a promising tookit in nanomedicine. Here, we developed potent multivalent VHH antibodies from an alpaca naïve phage display library targeting the E2 glycoprotein of the CHIKV virus. Results In the present study, we generated 20 VHH antibodies using a naïve phage display library for binders to the CHIKV E2 glycoprotein. Of these, multivalent VHH antibodies Nb-2E8 and Nb-3C5 had specific high-affinity binding to E2 protein within the nanomolar range. The equilibrium dissociation constant (KD) was between 2.59–20.7 nM, which was 100-fold stronger than the monovalent antibodies’ affinity. Moreover, epitope mapping showed that Nb-2E8 and Nb-3C5 recognized different linear epitopes located on the E2 glycoprotein domain C and A, respectively. A facile protocol of sandwich ELISA was established using BiNb-2E8 as a capture antibody and HRP-conjugated BiNb-3C5 as a detection antibody. A good linear correlation was achieved between the OD450 value and the E2 protein concentration in the 5–1000 ng/mL range (r = 0.9864, P < 0.0001), indicating its potential for quantitative detection of the E2 protein. Conclusions Compared to monovalent antibodies, multivalent VHH antibodies Nb-2E8 and Nb-3C5 showed high affinity and are potential candidates for diagnostic applications to better detect CHIKV virions in sera. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12951-022-01417-6.
Collapse
Affiliation(s)
- Qianlin Li
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China.,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China
| | - Fuqiang Zhang
- Center for Disease Control and Prevention of Southern Theater Command, Guangzhou, 510060, People's Republic of China
| | - Yi Lu
- Health Effects Institute, Boston, 02169, USA
| | - Huan Hu
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China.,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China
| | - Jin Wang
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China.,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China
| | - Cheng Guo
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Qiang Deng
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China.,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China
| | - Conghui Liao
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China.,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China
| | - Qin Wu
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China.,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China
| | - Tingsong Hu
- Center for Disease Control and Prevention of Southern Theater Command, Guangzhou, 510060, People's Republic of China.
| | - Zeliang Chen
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China. .,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China. .,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China.
| | - Jiahai Lu
- One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China. .,NMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, 510080, China. .,Key Laboratory of Tropical Diseases Control, Sun Yat-Sen University, Ministry of Education, Guangzhou, 510080, China.
| |
Collapse
|
8
|
Zhang X, Zhu H, Zheng X, Jiao Y, Ning L, Zhou EM, Mu Y. A Double-Antibody Sandwich ELISA for Sensitive and Specific Detection of Swine Fibrinogen-Like Protein 1. Front Immunol 2021; 12:670626. [PMID: 33968077 PMCID: PMC8102871 DOI: 10.3389/fimmu.2021.670626] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 03/30/2021] [Indexed: 01/26/2023] Open
Abstract
Fibrinogen-like protein 1 (FGL1), a member of the fibrinogen family, is a specific hepatocyte mitogen. Recently, it has been reported that FGL1 is the main inhibitory ligand of lymphocyte activating gene 3 (LAG3). Furthermore, the FGL1-LAG3 pathway has a synergistic effect with programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) pathway and is regarded as a promising immunotherapeutic target. However, swine FGL1 (sFGL1) has not been characterized and its detection method is lacking. In the study, the sFGL1 gene was amplified from the liver tissue of swine and then inserted into a prokaryotic expression vector, pQE-30. The recombinant plasmid pQE30-sFGL1 was transformed into JM109 competent cells. The recombinant sFGL1 was induced expression by isopropyl-β-d-thiogalactoside (IPTG) and the purified sFGL1 was used as an antigen to produce mouse monoclonal antibody (mAb) and rabbit polyclonal antibody (pAb). After identification, a double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) for sensitive and specific detection of sFGL1 was developed. Swine FGL1 in samples was captured by anti‐sFGL1 mAb followed by detection with anti‐sFGL1 rabbit pAb and HRP-conjugated goat anti-rabbit IgG. The limit of detection of the developed sFLG1-DAS-ELISA is 35 pg/ml with recombinant sFLG1. Besides, it does not show cross‐reactivity with the control protein. Then serum samples of PRRSV-negative and -positive pigs were tested with the established DAS-ELISA and calculated according to the equation of y=0.0735x+0.0737. The results showed that PRRSV infection enhanced the serum FGL1 levels significantly. Our research provides a platform for the research on the functional roles of swine FGL1.
Collapse
Affiliation(s)
- Xin Zhang
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, China
| | - Haipeng Zhu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, China
| | - Xu Zheng
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, China
| | - Yunjie Jiao
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, China
| | - Lulu Ning
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - En-Min Zhou
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, China
| | - Yang Mu
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, Northwest A&F University, Yangling, China.,Scientific Observing and Experimental Station of Veterinary Pharmacology and Diagnostic Technology, Ministry of Agriculture, Yangling, China
| |
Collapse
|
9
|
Wang P, Sun Y, Li X, Wang L, Xu Y, He L, Li G. Recent advances in dual recognition based surface enhanced Raman scattering for pathogenic bacteria detection: A review. Anal Chim Acta 2021; 1157:338279. [PMID: 33832584 DOI: 10.1016/j.aca.2021.338279] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 01/28/2021] [Accepted: 01/29/2021] [Indexed: 12/16/2022]
Abstract
Rapid and reliable detection of pathogenic bacteria at the early stage represents a highly topical research area for food safety and public health. Although culture based method is the gold standard method for bacteria detection, recent techniques have promoted the development of alternative methods, such as surface enhanced Raman scattering (SERS). SERS provides additional advantages of high speed, simultaneous detection and characterization, multiplex analysis, and comparatively low cost. However, conventional SERS methods for bacteria detection are facing limitations of low sensitivity, susceptible to matrix interference, and poor accuracy. In recent years, specific detection of pathogenic bacteria with dual recognition based SERS methods has attracted increasing attentions. These methods include two steps recognition of target bacteria, and integrate the functions of target separation and detection. Considering their merits of excellent specificity, ultrahigh sensitivity, multiplex detection capability, and potential for on-site applications, these methods are promising alternatives for rapid and reliable detection of pathogenic bacteria. Herein, this review aims to summarize the recent advances in dual recognition based SERS methods for specific detection of pathogenic bacteria. Their advantages and limitations are discussed, and further perspectives are tentatively given. This review provides new insights into the application of SERS as a reliable tool for pathogenic bacteria detection.
Collapse
Affiliation(s)
- Panxue Wang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Yan Sun
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Xiang Li
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Li Wang
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Ying Xu
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China
| | - Lili He
- Department of Food Science, University of Massachusetts Amherst, 102 Holdsworth Way, MA, 01003, USA
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, China.
| |
Collapse
|
10
|
Development overview of Raman-activated cell sorting devoted to bacterial detection at single-cell level. Appl Microbiol Biotechnol 2021; 105:1315-1331. [PMID: 33481066 DOI: 10.1007/s00253-020-11081-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/17/2020] [Accepted: 12/27/2020] [Indexed: 12/14/2022]
Abstract
Understanding the metabolic interactions between bacteria in natural habitat at the single-cell level and the contribution of individual cell to their functions is essential for exploring the dark matter of uncultured bacteria. The combination of Raman-activated cell sorting (RACS) and single-cell Raman spectra (SCRS) with unique fingerprint characteristics makes it possible for research in the field of microbiology to enter the single cell era. This review presents an overview of current knowledge about the research progress of recognition and assessment of single bacterium cell based on RACS and further research perspectives. We first systematically summarize the label-free and non-destructive RACS strategies based on microfluidics, microdroplets, optical tweezers, and specially made substrates. The importance of RACS platforms in linking target cell genotype and phenotype is highlighted and the approaches mentioned in this paper for distinguishing single-cell phenotype include surface-enhanced Raman scattering (SERS), biomarkers, stable isotope probing (SIP), and machine learning. Finally, the prospects and challenges of RACS in exploring the world of unknown microorganisms are discussed. KEY POINTS: • Analysis of single bacteria is essential for further understanding of the microbiological world. • Raman-activated cell sorting (RACS) systems are significant protocol for characterizing phenotypes and genotypes of individual bacteria.
Collapse
|
11
|
Singh R, Pal V, Tripathi N, Goel A. Development of a pair of real-time loop mediated isothermal amplification assays for detection of Yersinia pestis, the causative agent of plague. Mol Cell Probes 2020; 54:101670. [DOI: 10.1016/j.mcp.2020.101670] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/16/2020] [Accepted: 10/19/2020] [Indexed: 11/16/2022]
|
12
|
Lan X, Zhu L, Xu W. Novel immuno-nucleic acid cooperative detection technology for food safety. FOOD AGR IMMUNOL 2020. [DOI: 10.1080/09540105.2020.1763261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Xinyue Lan
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, People’s Republic of China
- Key Laboratory of Functional Dairy, Ministry of Education, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People’s Republic of China
| | - Longjiao Zhu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, People’s Republic of China
| | - Wentao Xu
- Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, People’s Republic of China
- Key Laboratory of Functional Dairy, Ministry of Education, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, People’s Republic of China
- Key Laboratory of Safety Assessment of Genetically Modified Organism (Food Safety), Ministry of Agriculture and Rural Affairs, Beijing, People’s Republic of China
| |
Collapse
|
13
|
Specific Detection of Yersinia pestis Based on Receptor Binding Proteins of Phages. Pathogens 2020; 9:pathogens9080611. [PMID: 32727041 PMCID: PMC7460101 DOI: 10.3390/pathogens9080611] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 07/22/2020] [Accepted: 07/24/2020] [Indexed: 02/06/2023] Open
Abstract
The highly pathogenic bacterium Yersinia pestis is the causative agent of plague, a notorious infectious zoonotic disease. When transmitted from person to person as pneumonic plague via droplets, Y. pestis is highly contagious and in most cases is fatal if left untreated. Thus, when plague is suspected, rapid diagnosis is crucial, as a serious course of the infection is only averted by early antibiotic therapy. The bacterium is easy to cultivate, accessible and has a high potential for nefarious use such as bioterrorism. Highly specific, rapid and easy-to-use confirmatory diagnostic methods are required to reliably identify the pathogen independently from PCR-based methods or F1 antigen-based immunological detection. Yersinia pestis specific phages such as L-413C and ΦA1122 are already used for detection of Y. pestis in bacterial plaque or biosensor assays. Here, we made use of the host specificities conferred by phage receptor binding (or tail fiber/spike) proteins (RBP) for developing a specific, fast and simple fluorescence-microscopy-based detection method for Y. pestis. Genes of putative RBP of phages L-413C (gpH) and ΦA1122 (gp17) were fused with those of fluorescent proteins and recombinant receptor-reporter fusion proteins were produced heterologously in Escherichia coli. When first tested on attenuated Y. pestis strain EV76, RBP-reporters bound to the bacterial cell surface. This assay could be completed within a few minutes using live or formaldehyde-inactivated cells. Specificity tests using cultures of closely related Yersinia species and several inactivated fully virulent Y. pestis strains exhibited high specificities of the RBP-reporters against Y. pestis. The L-413C RBP proved to be especially specific, as it only detected Y. pestis at all temperatures tested, whereas the RBP of ΦA1122 also bound to Y. pseudotuberculosis strains at 37 °C (but not at 28, 20 or 6 °C). Finally, the Y. pestis-specific capsule, produced when grown at 37 °C, significantly reduced binding of phage ΦA1122 RBP, whereas the capsule only slightly diminished binding of L-413C RBP.
Collapse
|