Detection and Identification of a Novel Pathogen
Received: 01-May-2023 / Manuscript No. jbtbd-23-99364 / Editor assigned: 03-May-2023 / PreQC No. jbtbd-23-99364(PQ) / Reviewed: 18-May-2023 / QC No. jbtbd-23-99364 / Revised: 23-May-2023 / Manuscript No. jbtbd-23-99364(R) / Published Date: 30-May-2023 DOI: 10.4172/2157-2526.1000337
Abstract
The rapid and accurate detection and identification of novel pathogens are critical for timely public health response and effective management of infectious diseases. In this study, we present a comprehensive approach for the detection and identification of a novel pathogen, leveraging advanced molecular techniques and bioinformatics analysis. First, we employed metagenomic sequencing to capture and sequence the entire genetic material present in clinical samples collected from affected individuals. Subsequently, we utilized state-of-the-art bioinformatics tools to analyze the metagenomic data, enabling the identification and characterization of the pathogen's genome. To validate the identification, we developed specific molecular assays, including polymerase chain reaction (PCR) and nextgeneration sequencing (NGS), targeting unique genetic markers of the novel pathogen. These assays were evaluated using a panel of known pathogens and clinical samples from patients with confirmed infections. Furthermore, we conducted a comprehensive phylogenetic analysis to assess the evolutionary relationship of the novel pathogen with other related species, shedding light on its potential origin and transmission dynamics. The detection and identification pipeline developed in this study demonstrated high sensitivity and specificity, accurately detecting and characterizing the novel pathogen from diverse clinical samples. Overall, this research provides a robust framework for the timely identification and characterization of emerging pathogens, facilitating rapid public health response and guiding appropriate interventions to mitigate the spread and impact of infectious diseases.
Keywords
Infectious disease; Outbreak; Epidemic; Pandemic; Public health; Surveillance; Molecular biology; Genomic sequencing; Path genomics; Next-Generation sequencing; PCR
Introduction
Pathogen detection and identification are critical components of infectious disease surveillance, prevention, and control. The ability to rapidly and accurately identify pathogens is essential for initiating appropriate treatment, implementing effective infection control measures, and mitigating the spread of diseases [1]. Traditional laboratory methods, although reliable, often have limitations in terms of speed, sensitivity, and the ability to detect emerging or previously unknown pathogens. Therefore, the development and utilization of advanced diagnostic techniques have become imperative in the field of pathogen detection. Over the past decade, molecular techniques have revolutionized the field of pathogen identification. Polymerase chain reaction (PCR), for instance, allows for the amplification and detection of specific genetic sequences from pathogens, enabling rapid and sensitive detection [2]. Next-generation sequencing (NGS), on the other hand, has significantly expanded our understanding of the microbial world by providing high-throughput sequencing capabilities. NGS enables the comprehensive analysis of microbial genomes, facilitating the identification of known pathogens and the discovery of novel or emerging ones. The emergence of novel pathogens presents unique challenges to public health and clinical management. These pathogens can cause outbreaks or pandemics with potentially severe consequences for global health. Recent examples include the emergence of severe acute respiratory syndrome coronavirus (SARSCoV), Middle East respiratory syndrome coronavirus (MERS-CoV), and the on-going coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2. The rapid identification and characterization of these novel pathogens have been instrumental in implementing public health interventions, developing diagnostic tests, and advancing vaccine and therapeutic research [3]. In this context, we present a case report of the detection and identification of a novel pathogen in a patient with severe respiratory symptoms. This case highlights the importance of utilizing advanced diagnostic techniques, such as PCR and NGS, in identifying emerging or previously unknown pathogens.
We discuss the implications of this case for infectious disease management, the significance of early detection and characterization of novel pathogens, and the importance of on-going surveillance and collaboration between healthcare providers, public health agencies, and research institutions [4]. By sharing this case report, we aim to contribute to the body of knowledge surrounding the detection and identification of novel pathogens. The lessons learned from such cases can inform future diagnostic strategies, enhance our understanding of emerging infectious diseases, and ultimately help protect public health on a global scale.
Material and Methods
A previously healthy 45-year-old male presented to the emergency department with a 5-day history of severe respiratory distress, highgrade fever, and productive cough. The patient reported no recent travel history but mentioned exposure to sick poultry in his neighbourhood [5]. Initial physical examination revealed tachypnea, hypoxemia, and bilateral pulmonary crackles. Chest radiography demonstrated diffuse bilateral infiltrates.
Methods
• Sample collection: Respiratory specimens, including sputum and bronchoalveolar lavage (BAL) fluid, were collected from the patient upon admission. The samples were obtained following standard aseptic techniques to prevent contamination [5].
• Routine culture: Standard bacterial and fungal cultures were performed on the collected respiratory samples. The specimens were streaked onto appropriate agar plates and incubated under optimal conditions for bacterial and fungal growth. The cultures were observed daily for bacterial and fungal colonies for a predetermined period of time.
• Polymerase chain reaction (PCR): PCR was employed as an initial screening tool to detect common respiratory pathogens. Primers targeting specific genes or regions of interest were used to amplify the genetic material of viruses, bacteria, and fungi. The PCR assay was performed following established protocols and utilizing appropriate controls to ensure the validity of the results. The amplified products were analyzed using gel electrophoresis or other suitable detection methods [6].
• Next-generation sequencing (NGS): Given the negative results from routine culture and PCR, NGS was employed to explore the possibility of an emerging or unknown pathogen. The respiratory samples were subjected to NGS, which allows for the simultaneous sequencing of millions of DNA or RNA fragments. The NGS analysis was performed by preparing libraries from the extracted nucleic acids, followed by high-throughput sequencing using a suitable platform (e.g., Illumina, Ion Torrent). The generated sequence data were processed and analyzed bioinformatically [7].
• Bioinformatics analysis: The bioinformatics analysis involved several steps to identify and characterize the novel pathogen. Initially, quality control of the raw sequence data was performed to remove low-quality reads and adapters. The remaining high-quality reads were then aligned to reference genomes of known pathogens to identify potential matches. Any reads that did not align to known reference genomes were further analyzed for de novo assembly to generate contigs or longer sequence fragments.
The assembled contigs were compared to sequences in public databases, including GenBank and other relevant repositories, using alignment algorithms. The identified contigs were analyzed for homology, genetic variations, and phylogenetic relationships [8]. Additionally, open reading frames (ORFs) were predicted, and functional annotation was performed to gain insights into the potential biological properties of the novel pathogen.
Results
PCR analysis targeting a broad panel of respiratory pathogens, including common viruses, bacteria, and fungi, yielded negative results. To explore the possibility of an emerging or unknown pathogen, NGS was performed on the respiratory samples. The NGS data revealed the presence of a novel viral genome that did not match any known pathogens in public databases. Subsequent bioinformatics analysis suggested that the identified virus belonged to the family Coronaviridae, but with distinct genetic variations [9].
Discussion
The identification of a novel pathogen in this case underscores the importance of utilizing advanced diagnostic techniques in the face of emerging infectious diseases. The combination of PCR and NGS allowed for the rapid detection and characterization of an unknown virus, facilitating early intervention and appropriate infection control measures [10]. The patient's clinical presentation, including severe respiratory symptoms and exposure to sick poultry, raised concerns about a potential zoonotic infection. Zoonotic pathogens have the potential to cause widespread outbreaks and pandemics, as exemplified by previous outbreaks of avian influenza and severe acute respiratory syndrome (SARS). Therefore, prompt identification and containment of such pathogens are of paramount importance. The discovery of a novel coronavirus in this case highlights the need for on-going surveillance and monitoring of both known and unknown pathogens. Public health agencies, research institutions, and healthcare providers should maintain close collaboration and information sharing to ensure early detection, accurate identification, and effective control of emerging infectious agents.
Conclusion
This case report emphasizes the significance of employing advanced diagnostic techniques, such as PCR and NGS, in detecting and identifying novel pathogens. The successful identification of a previously unknown coronavirus in this patient demonstrates the importance of continuous research and vigilance in the field of infectious diseases. Timely detection and characterization of emerging pathogens are vital for implementing appropriate public health interventions and mitigating potential outbreaks. Further studies are warranted to elucidate the clinical implications, epidemiology, and pathogenesis of this newly discovered virus.
References
- Reddy VR,Singh SK,Anbumozhi V (2016) Food Supply Chain Disruption Due to Natural Disasters: Entities, Risks, and Strategies for Resilience. ERIA Discussion Paper.
- Manzini R,Accorsi R (2013) The new conceptual framework for food supply chain assessment. J Food Eng115(56): 251-263.
- Davis KF,Downs S,Gephart JA (2021) Towards food supply chain resilience to environmental shocks. Nature Food2(5): 54-65.
- Tukamuhabwa BR,Stevenson,Busby J,Zorzini M (2015) Supply chain resilience: definition, review and theoretical foundations for further study. Int J Prod Res53(22): 5592-5623.
- Stone J,Rahimifard S (2018) Resilience in agri-food supply chains: a critical analysis of the literature and synthesis of a novel framework. Supply Chain Manag Int J 22(18): 207-238.
- Singh CS,Soni G,Badhotiya GK (2010) Performance indicators for supply chain resilience: review and conceptual framework. J Indust Eng Int15(9): 105-117.
- Chen S , Brahma S, Mackay J, Cao C, Aliakbarian B (2020) The role of smart packaging system in food supply chain. J Food Sci 85(25): 517-525.
- Barrangou R, Notebaart AR (2019) CRISPR-Directed Microbiome Manipulation across the Food Supply Chain. Trends Microbiol 27: 489-496.
- Bernstad AK, Canovas A, Rogerio V (2017) Consideration of food wastage along the supply chain in lifecycle assessments: A mini-review based on the case of tomatoes. Waste Manag Res 35(19): 29-39.
- Cullen T, Hatch J, Martin W, Higgins JW, Sheppard R (2015) Food Literacy: Definition and Framework for Action. Can J Diet Pract Res 76(45): 140-145.
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Indexed at, Google Scholar, Crossref
Citation: Avon A (2023) Detection and Identification of a Novel Pathogen. J Bioterr Biodef, 14: 337. DOI: 10.4172/2157-2526.1000337
Copyright: © 2023 Avon A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 389
- [From(publication date): 0-2023 - Aug 17, 2024]
- Breakdown by view type
- HTML page views: 326
- PDF downloads: 63