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Zhang P, Yang T, Sun Y, Qiao H, Hu N, Li X, Wang W, Zhang L, Cong Y. Development and Immunoprotection of Bacterium-like Particle Vaccine against Infectious Bronchitis in Chickens. Vaccines (Basel) 2023; 11:1292. [PMID: 37631859 PMCID: PMC10457988 DOI: 10.3390/vaccines11081292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/18/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
Infectious bronchitis (IB) is a major threat to the global poultry industry. Despite the availability of commercial vaccines, the IB epidemic has not been effectively controlled. The exploration of novel IBV vaccines may provide a new way to prevent and control IB. In this study, BLP-S1, a bacterium-like particle displaying the S1 subunit of infectious bronchitis virus (IBV), was constructed using the GEM-PA surface display system. The immunoprotective efficacy results showed that BLP-S1 can effectively induce specific IgG and sIgA immune responses, providing a protection rate of 90% against IBV infection in 14-day-old commercial chickens. These results suggest that BLP-S1 has potential for the development of novel vaccines with good immunogenicity and immunoprotection.
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Affiliation(s)
- Pengju Zhang
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China; (P.Z.)
| | - Tiantian Yang
- Laboratory of Infectious Diseases, College of Veterinary Medicine, Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun 130062, China
| | - Yixue Sun
- Department of Policies and Regulations, Changchun University, Changchun 130022, China
| | - Haiying Qiao
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China; (P.Z.)
| | - Nianzhi Hu
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China; (P.Z.)
| | - Xintao Li
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China; (P.Z.)
| | - Weixia Wang
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China; (P.Z.)
| | - Lichun Zhang
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China; (P.Z.)
| | - Yanlong Cong
- Laboratory of Infectious Diseases, College of Veterinary Medicine, Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun 130062, China
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Campos MD, Varanda C, Patanita M, Amaro Ribeiro J, Campos C, Materatski P, Albuquerque A, Félix MDR. A TaqMan ® Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases. BIOLOGY 2023; 12:268. [PMID: 36829545 PMCID: PMC9953614 DOI: 10.3390/biology12020268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/04/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
In tomato plants, Fusarium spp. have been increasingly associated with several wilt and rot diseases that are responsible for severe yield losses. Here, we present a real-time PCR TaqMan® MGB (Minor Groove Binder) assay to detect and discriminate Fusarium spp. from other fungal species that affect tomato plants. The methodology used is based on the selective amplification of the internal transcribed spacer (ITS) region of Fusarium spp. This assay revealed to be highly specific and sensitive for Fusarium species, targeting only the 29 Fusarium isolates from the 45 tested isolates associated to tomato diseases. Sensitivity was assessed with serial dilutions of Fusarium genomic DNA, with the limit of detection of 3.05 pg. An absolute DNA quantification method was also established, based on the determination of the absolute number of target copies. Finally, the effectiveness of the assay was successfully validated with the detection and quantification of Fusarium spp. in potentially infected tomato plants from an experimental field and in control plants grown under controlled conditions. The established methodology allows a reliable, sensitive, and reproducible estimation of Fusarium accumulation in infected tomato plants, gaining new insights for disease control and providing an additional tool in the screening of resistant plants.
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Affiliation(s)
- Maria Doroteia Campos
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Carla Varanda
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Mariana Patanita
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Joana Amaro Ribeiro
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Catarina Campos
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Patrick Materatski
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - André Albuquerque
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Institute for Advanced Studies and Research, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
| | - Maria do Rosário Félix
- MED—Mediterranean Institute for Agriculture, Environment and Development & CHANGE—Global Change and Sustainability Institute, Departamento de Fitotecnia, Escola de Ciências e Tecnologia, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal
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Azevedo-Nogueira F, Barrias S, Martins-Lopes P. High-Throughput Real-Time qPCR and High-Resolution Melting (HRM) Assay for Fungal Detection in Plant Matrices. Methods Mol Biol 2023; 2967:53-62. [PMID: 37608102 DOI: 10.1007/978-1-0716-3358-8_5] [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] [Indexed: 08/24/2023]
Abstract
Crop producers are under great pressure to produce more and better food items. Effective control of crop pathogens is fundamental to guaranteeing food safety and reducing economic losses. Therefore, their identification throughout the production chain is of utmost interest. To achieve this goal, genomic analysis tools are currently being developed allowing to control crop production more effectively.Genomic analysis in some samples is difficult, mostly due to the sample's intrinsic characteristics, i.e., high levels of phenols, fatty acids (e.g., oleaginous fruits, such as olives), and carbon hydrates (e.g., honey), among others. Additionally, some samples yield very low DNA recovery with high content of contaminants, imposing protocol improvements to overcome these difficulties.Here we present protocols focused on qPCR and HRM to detect the presence of fungal pathogens collected from plant-derived samples.
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Affiliation(s)
- Filipe Azevedo-Nogueira
- DNA & RNA Sensing Lab, University of Trás-os-Montes e Alto Douro, Department of Genetics and Biotechnology, School of Life Science and Environment, Vila Real, Portugal
- BioISI - Biosystems & Integrative Sciences Institute, University of Lisboa, Faculty of Sciences, Lisbon, Portugal
| | - Sara Barrias
- DNA & RNA Sensing Lab, University of Trás-os-Montes e Alto Douro, Department of Genetics and Biotechnology, School of Life Science and Environment, Vila Real, Portugal
- BioISI - Biosystems & Integrative Sciences Institute, University of Lisboa, Faculty of Sciences, Lisbon, Portugal
| | - Paula Martins-Lopes
- DNA & RNA Sensing Lab, University of Trás-os-Montes e Alto Douro, Department of Genetics and Biotechnology, School of Life Science and Environment, Vila Real, Portugal.
- BioISI - Biosystems & Integrative Sciences Institute, University of Lisboa, Faculty of Sciences, Lisbon, Portugal.
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Lima A, França A, Muzny CA, Taylor CM, Cerca N. DNA extraction leads to bias in bacterial quantification by qPCR. Appl Microbiol Biotechnol 2022; 106:7993-8006. [PMID: 36374332 PMCID: PMC10493044 DOI: 10.1007/s00253-022-12276-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/28/2022] [Accepted: 11/02/2022] [Indexed: 11/16/2022]
Abstract
Quantitative PCR (qPCR) has become a widely used technique for bacterial quantification. The affordability, ease of experimental design, reproducibility, and robustness of qPCR experiments contribute to its success. The establishment of guidelines for minimum information for publication of qPCR experiments, now more than 10 years ago, aimed to mitigate the publication of contradictory data. Unfortunately, there are still a significant number of recent research articles that do not consider the main pitfalls of qPCR for quantification of biological samples, which undoubtedly leads to biased experimental conclusions. qPCR experiments have two main issues that need to be properly tackled: those related to the extraction and purification of genomic DNA and those related to the thermal amplification process. This mini-review provides an updated literature survey that critically analyzes the following key aspects of bacterial quantification by qPCR: (i) the normalization of qPCR results by using exogenous controls, (ii) the construction of adequate calibration curves, and (iii) the determination of qPCR reaction efficiency. It is primarily focused on original papers published last year, where qPCR was applied to quantify bacterial species in different types of biological samples, including multi-species biofilms, human fluids, and water and soil samples. KEY POINTS: • qPCR is a widely used technique used for absolute bacterial quantification. • Recently published papers lack proper qPCR methodologies. • Not including proper qPCR controls significantly affect experimental conclusions.
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Affiliation(s)
- Angela Lima
- Laboratory of Research in Biofilms Rosário Oliveira (LIBRO), Centre of Biological Engineering (CEB), University of Minho, Braga, Portugal
- LABBELS -Associate Laboratory, Braga, Guimarães, Portugal
| | - Angela França
- Laboratory of Research in Biofilms Rosário Oliveira (LIBRO), Centre of Biological Engineering (CEB), University of Minho, Braga, Portugal
- LABBELS -Associate Laboratory, Braga, Guimarães, Portugal
| | - Christina A Muzny
- Division of Infectious Diseases, University of Alabama at Birmingham, Birmingham, USA
| | - Christopher M Taylor
- Department of Microbiology, Immunology, and Parasitology & Microbial Genomics Resource Group, Louisiana State University Health Sciences Center, New Orleans, USA
| | - Nuno Cerca
- Laboratory of Research in Biofilms Rosário Oliveira (LIBRO), Centre of Biological Engineering (CEB), University of Minho, Braga, Portugal.
- LABBELS -Associate Laboratory, Braga, Guimarães, Portugal.
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Editorial Comments to the Special Issue: " Colletotrichum spp. on Fruit Crops-State of the Art, Perspectives and Drawbacks". Pathogens 2021; 10:pathogens10040478. [PMID: 33920756 PMCID: PMC8071184 DOI: 10.3390/pathogens10040478] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 11/29/2022] Open
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