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Zhang F, Liu ZY, Liu S, Zhang WG, Wang BB, Li CL, Xu JZ. Rapid screening of point mutations by mismatch amplification mutation assay PCR. Appl Microbiol Biotechnol 2024; 108:190. [PMID: 38305911 PMCID: PMC10837254 DOI: 10.1007/s00253-024-13036-2] [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: 02/22/2023] [Revised: 08/18/2023] [Accepted: 01/25/2024] [Indexed: 02/03/2024]
Abstract
Metabolic engineering frequently makes use of point mutation and saturation mutation library creation. At present, sequencing is the only reliable and direct technique to detect point mutation and screen saturation mutation library. In this study, mismatch amplification mutation assay (MAMA) PCR was used to detect point mutation and screen saturation mutation library. In order to fine-tune the expression of odhA encoding 2-oxoglutarate dehydrogenase E1 component, a saturating mutant library of the RBS of odhA was created in Corynebacterium glutamicum P12 based on the CRISPR-Cas2a genome editing system, which increased the L-proline production by 81.3%. MAMA PCR was used to filter out 42% of the non-mutant transformants in the mutant library, which effectively reduced the workload of the subsequent fermentation test and the number of sequenced samples. The rapid and sensitive MAMA-PCR method established in this study provides a general strategy for detecting point mutations and improving the efficiency of mutation library screening. KEY POINTS: • MAMA PCR was optimized and developed to detect point mutation. • MAMA PCR greatly improves the screening efficiency of point mutation. • Attenuation of odhA expression in P12 effectively improves proline production.
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Affiliation(s)
- Feng Zhang
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China
| | - Zhen Yang Liu
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China
| | - Shuai Liu
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China
| | - Wei Guo Zhang
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China.
| | - Bing Bing Wang
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China
| | - Chang Lon Li
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China
| | - Jian Zhong Xu
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, People's Republic of China
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Li J, Wei Y, Li J, Liu R, Xu S, Xiong S, Guo Y, Qiao X, Wang S. A novel duplex SYBR Green real-time PCR with melting curve analysis method for beef adulteration detection. Food Chem 2020; 338:127932. [PMID: 32932080 DOI: 10.1016/j.foodchem.2020.127932] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 07/30/2020] [Accepted: 08/23/2020] [Indexed: 01/09/2023]
Abstract
An efficient and reliable duplex SYBR Green real-time quantitative PCR (qPCR) method for beef products adulteration detection was developed based on bovine specific and vertebrate universal primers. By analyzing the numbers, positions (Tm value) of melting curve peaks of the duplex PCR products, we simultaneously identified bovine and preliminary screened non-bovine in samples, and also semi-quantified the bovine percentage according to the area ratios of peaks. All of these were necessary for adulteration determination. The specific and universal primers were designed based on mitochondrial genes ND4 and 16S rRNA respectively, their amplicons Tm values were 72.6 ± 0.5 °C and 79-81 °C. There might be some other peaks at 74-78 °C and above 81 °C if non-bovine components existed. Thelimit of detectionwas 1 pgforbovineDNA, and1 - 30 pg fornon-bovineDNAbasedon differentspecies.
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Affiliation(s)
- Jiapeng Li
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Yixuan Wei
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Jinchun Li
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Ruixi Liu
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Suigen Xu
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Suyue Xiong
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Ya Guo
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Xiaoling Qiao
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China
| | - Shouwei Wang
- China Meat Research Center, 100068 Beijing, China; Beijing Key Laboratory of Meat Processing Technology, 100068 Beijing, China.
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Shetty SS, Deekshit VK, Jazeela K, Vittal R, Rohit A, Chakraborty A, Karunasagar I. Plasmid-mediated fluoroquinolone resistance associated with extra-intestinal Escherichia coli isolates from hospital samples. Indian J Med Res 2019; 149:192-198. [PMID: 31219083 PMCID: PMC6563729 DOI: 10.4103/ijmr.ijmr_2092_17] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Background & objectives Infection from fluoroquinolone-resistant extra-intestinal Escherichia coli is a global concern. In this study, isolation and characterization of fluoroquinolone-resistant extra-intestinal E. coli isolates obtained from hospital samples were undertaken to detect plasmid-mediated quinolone resistance (PMQR) genes. Methods Forty three isolates of E. coli obtained from patients with extra-intestinal infections were subjected to antibiogram to detect fluoroquinolone resistance. The mechanism of fluoroquinolone resistance was determined by the detection of PMQR genes and mutations in quinolone resistance determining region (QRDR). Results Of the 43 isolates, 36 were resistant to nalidixic acid (83.72%) and 28 to ciprofloxacin (65.11%). Eight E. coli isolates showed total resistance to both the antimicrobials without any minimum inhibitory concentration. The detection of PMQR genes with qnr primers showed the presence of qnrA in two, qnrB in six and qnrS in 21 isolates. The gene coding for quinolone efflux pump (qepA) was not detected in any of the isolates tested. The presence of some unexpressed PMQR genes in fluoroquinolone sensitive isolates was also observed. Interpretation & conclusions The detection of silent PMQR genes as observed in the present study presents a risk of the transfer of the silent resistance genes to other microorganisms if present in conjugative plasmids, thus posing a therapeutic challenge to the physicians. Hence, frequent monitoring is to be done for all resistance determinants.
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Affiliation(s)
- Shruthi S Shetty
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Vijaya Kumar Deekshit
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Kadeeja Jazeela
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Rajeshwari Vittal
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Anusha Rohit
- Department of Microbiology, Madras Medical Mission, Chennai, India
| | - Anirban Chakraborty
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
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Deekshit VK, Jazeela K, Chakraborty G, Rohit A, Chakraborty A, Karunasagar I. Mismatch amplification mutation assay-polymerase chain reaction: A method of detecting fluoroquinolone resistance mechanism in bacterial pathogens. Indian J Med Res 2019; 149:146-150. [PMID: 31219078 PMCID: PMC6563742 DOI: 10.4103/ijmr.ijmr_2091_17] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The mismatch amplification assay is a modified version of polymerase chain reaction (PCR) that permits specific amplification of gene sequences with single base pair change. The basis of the technique relies on primer designing. The single nucleotide mismatch at the 3’ proximity of the reverse oligonucleotide primer makes Taq DNA polymerase unable to carry out extension process. Thus, the primers produce a PCR fragment in the wild type, whereas it is not possible to yield a product with a mutation at the site covered by the mismatch positions on the mismatch amplification mutation assay (MAMA) primer from any gene. The technique offers several advantages over other molecular methods, such as PCR-restriction fragment length polymorphism (RFLP) and oligonucleotide hybridization, which is routinely used in the detection of known point mutations. Since multiple point mutations in the quinolone resistance determining region play a major role in high-level fluoroquinolone resistance in Gram-negative bacteria, the MAMA-PCR technique is preferred for detecting these mutations over PCR-RFLP and sequencing technology.
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Affiliation(s)
- Vijaya Kumar Deekshit
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Kadeeja Jazeela
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Gunimala Chakraborty
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
| | - Anusha Rohit
- Department of Microbiology, Madras Medical Mission, Chennai, India
| | - Anirban Chakraborty
- Division of Infectious Diseases, Nitte University Centre for Science Education & Research, Mangaluru, India
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Jazeela K, Chakraborty G, Shetty SS, Rohit A, Karunasagar I, Vijaya Kumar D. Comparison of Mismatch Amplification Mutation Assay PCR and PCR-Restriction Fragment Length Polymorphism for Detection of Major Mutations in gyrA and parC of Escherichia coli Associated with Fluoroquinolone Resistance. Microb Drug Resist 2018; 25:23-31. [PMID: 30036132 DOI: 10.1089/mdr.2017.0351] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Fluoroquinolones are the drug of choice for most of the infections caused by Escherichia coli, and their indiscriminate use has resulted in increased selective pressure for antibiotic resistance. At present, sequencing is the only reliable and direct technique to detect mutations in the quinolone resistance determining region (QRDR). In this study, a rapid and reliable mismatch amplification mutation assay (MAMA) PCR to detect mutations in the QRDR was evaluated and compared to PCR-restriction fragment length polymorphism (PCR-RFLP). One hundred one clinical isolates of E. coli were subjected to MAMA-PCR and PCR-RFLP to detect QRDR mutations. Overall, 92 (91.08%) resistant isolates harbored a point mutation of S83L in gyrA. Double mutations in gyrA were also detected in 45 (44.55%) isolates. Similarly, 41 (40.59%) isolates possessed a point mutation at parC 80, and 25 (24.75%) isolates possessed a point mutation at parC 84. Additionally, MAMA-PCR-the first of its kind-was also standardized to detect mutations in regions gyrB 447 and parE 416, although no mutations were detected in these regions. The rapid and sensitive MAMA-PCR method evaluated in this study would be helpful in exploring the underlying mechanism of fluoroquinolone resistance to enhance control strategies.
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Affiliation(s)
- Kadeeja Jazeela
- 1 Nitte University Center for Science Education and Research (NUCSER), Nitte University , Mangalore, India
| | - Gunimala Chakraborty
- 1 Nitte University Center for Science Education and Research (NUCSER), Nitte University , Mangalore, India
| | - Shruthi Seetharam Shetty
- 1 Nitte University Center for Science Education and Research (NUCSER), Nitte University , Mangalore, India
| | - Anusha Rohit
- 2 Department of Microbiology, Madras Medical Mission , Chennai, India
| | - Indrani Karunasagar
- 1 Nitte University Center for Science Education and Research (NUCSER), Nitte University , Mangalore, India
| | - Deekshit Vijaya Kumar
- 1 Nitte University Center for Science Education and Research (NUCSER), Nitte University , Mangalore, India
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Ferrario C, Lugli GA, Ossiprandi MC, Turroni F, Milani C, Duranti S, Mancabelli L, Mangifesta M, Alessandri G, van Sinderen D, Ventura M. Next generation sequencing-based multigene panel for high throughput detection of food-borne pathogens. Int J Food Microbiol 2017; 256:20-29. [PMID: 28578266 DOI: 10.1016/j.ijfoodmicro.2017.05.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/28/2017] [Accepted: 05/02/2017] [Indexed: 01/20/2023]
Abstract
Contamination of food by chemicals or pathogenic bacteria may cause particular illnesses that are linked to food consumption, commonly referred to as foodborne diseases. Bacteria are present in/on various foods products, such as fruits, vegetables and ready-to-eat products. Bacteria that cause foodborne diseases are known as foodborne pathogens (FBPs). Accurate detection methods that are able to reveal the presence of FBPs in food matrices are in constant demand, in order to ensure safe foods with a minimal risk of causing foodborne diseases. Here, a multiplex PCR-based Illumina sequencing method for FBP detection in food matrices was developed. Starting from 25 bacterial targets and 49 selected PCR primer pairs, a primer collection called foodborne pathogen - panel (FPP) consisting of 12 oligonucleotide pairs was developed. The FPP allows a more rapid and reliable identification of FBPs compared to classical cultivation methods. Furthermore, FPP permits sensitive and specific FBP detection in about two days from food sample acquisition to bioinformatics-based identification. The FPP is able to simultaneously identify eight different bacterial pathogens, i.e. Listeria monocytogenes, Campylobacter jejuni, Campylobacter coli, Salmonella enterica subsp. enterica serovar enteritidis, Escherichia coli, Shigella sonnei, Staphylococcus aureus and Yersinia enterocolitica, in a given food matrix at a threshold contamination level of 101cell/g. Moreover, this novel detection method may represent an alternative and/or a complementary approach to PCR-based techniques, which are routinely used for FBP detection, and could be implemented in (parts of) the food chain as a quality check.
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Affiliation(s)
- Chiara Ferrario
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Gabriele Andrea Lugli
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | | | - Francesca Turroni
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Christian Milani
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Sabrina Duranti
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Leonardo Mancabelli
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | | | - Giulia Alessandri
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Douwe van Sinderen
- APC Microbiome Institute, School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland
| | - Marco Ventura
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
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