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Zhang L, Han J, Zhou Q, He Z, Sun SW, Li R, Li RS, Zhang WK, Wang YH, Xu LL, Lu ZH, Shao ZJ. Differential microbial composition in parasitic vs. questing ticks based on 16S next-generation sequencing. Front Microbiol 2023; 14:1264939. [PMID: 38192286 PMCID: PMC10773790 DOI: 10.3389/fmicb.2023.1264939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/12/2023] [Indexed: 01/10/2024] Open
Abstract
Introduction As tick-borne diseases rise to become the second most prevalent arthropod-transmitted disease globally, the increasing investigations focus on ticks correspondingly. Factors contributed to this increase include anthropogenic influences, changes in vertebrate faunal composition, social-recreational shifts, and climatic variation. Employing the 16S gene sequence method in next-generation sequencing (NGS) allows comprehensive pathogen identification in samples, facilitating the development of refined approaches to tick research omnidirectionally. Methods In our survey, we compared the microbial richness and biological diversity of ticks in Wuwei City, Gansu province, differentiating between questing ticks found in grass and parasitic ticks collected from sheep based on 16S NGS method. Results The results show Rickettsia, Coxiella, and Francisella were detected in all 50 Dermacentor nuttalli samples, suggesting that the co-infection may be linked to specific symbiotic bacteria in ticks. Our findings reveal significant differences in the composition and diversity of microorganisms, with the Friedmanniella and Bordetella genera existing more prevalent in parasitic ticks than in questing ticks (p < 0.05). Additionally, the network analysis demonstrates that the interactions among bacterial genera can be either promotive or inhibitive in ticks exhibiting different lifestyles with the correlation index |r| > 0.6. For instance, Francisella restrains the development of 10 other bacteria in parasitic ticks, whereas Phyllobacterium and Arthrobacter enhance colonization across all tick species. Discussion By leveraging NGS techniques, our study reveals a high degree of species and phylogenetic diversity within the tick microbiome. It further highlights the potential to investigate the interplay between bacterial genera in both parasitic and questing ticks residing in identical habitat environments.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Zhen-Hua Lu
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi’an, Shaanxi, China
| | - Zhong-Jun Shao
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi’an, Shaanxi, China
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Morales-Jadan D, Castro-Rodriguez B, Viteri-Dávila C, Orlando SA, Bruno A, Perez F, Garcia-Bereguiain MA. The quality of commercial SARS-CoV-2 nucleic acid tests in Ecuador: lessons from COVID-19 pandemic for advancing social equity through microbiology. Front Cell Infect Microbiol 2023; 13:1179786. [PMID: 37351183 PMCID: PMC10283003 DOI: 10.3389/fcimb.2023.1179786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 04/25/2023] [Indexed: 06/24/2023] Open
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Tahir Y, Muhammad N, Muhammad ZS, Muhammad AA, Imran A, Sohail R, Muhammad ABS, Muhammad AA, Syed ZA, Sohail QC, Muhammad BS, Saira R, Sohail H, Nageen S, Adnan M, Muhammad WA, Sehar F, Nadir H, Muhammad TK, Muhammad MA, Ali A, Muhammad A, Nabeel AA, Muhammad UY, Muhammad AB, Zarfishan T, Nadia M, Huda S, Maaz SR, Omair F. A Longitudinal Survey for Genome-based Identification of SARS-CoV-2 in Sewage Water in Selected Lockdown Areas of Lahore City, Pakistan: A Potential Approach for Future Smart Lockdown Strategy. BIOMEDICAL AND ENVIRONMENTAL SCIENCES : BES 2021; 34:729-733. [PMID: 34530963 PMCID: PMC8485421 DOI: 10.3967/bes2021.101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 05/06/2021] [Indexed: 05/22/2023]
Affiliation(s)
- Yaqub Tahir
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Nawaz Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Z Shabbir Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A Ali Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Altaf Imran
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Raza Sohail
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A B Shabbir Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A Ashraf Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Z Aziz Syed
- Water and Sanitation Agency, Lahore, Punjab, Pakistan
| | | | | | - Rafique Saira
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Hassan Sohail
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Sardar Nageen
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Mehmood Adnan
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - W Aziz Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Fazal Sehar
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Hussain Nadir
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - T Khan Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - M Atique Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Asif Ali
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Anwar Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A Awan Nabeel
- Specialized Healthcare & Medical Education Department, Punjab, Pakistan
| | | | | | | | - Mukhtar Nadia
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan;Institute of Public Health, Lahore, Pakistan
| | - Sarwar Huda
- Institute of Public Health, Lahore, Pakistan
| | - S Rana Maaz
- Institute of Public Health, Lahore, Pakistan
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Tahir Y, Muhammad N, Muhammad ZS, Muhammad AA, Imran A, Sohail R, Muhammad ABS, Muhammad AA, Syed ZA, Sohail QC, Muhammad BS, Saira R, Sohail H, Nageen S, Adnan M, Muhammad WA, Sehar F, Nadir H, Muhammad TK, Muhammad MA, Ali A, Muhammad A, Nabeel AA, Muhammad UY, Muhammad AB, Zarfishan T, Nadia M, Huda S, Maaz SR, Omair F. A Longitudinal Survey for Genome-based Identification of SARS-CoV-2 in Sewage Water in Selected Lockdown Areas of Lahore City, Pakistan: A Potential Approach for Future Smart Lockdown Strategy. BIOMEDICAL AND ENVIRONMENTAL SCIENCES : BES 2021; 34:729-733. [PMID: 34530963 DOI: 10.1101/2020.07.31.20165126] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 05/06/2021] [Indexed: 05/19/2023]
Abstract
ABSTRACTSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has affected more than 15 million people and, as of 22 July 2019, caused deaths of more than 0.6 million individuals globally. With the excretion of SARS-CoV-2 in the stool of symptomatic and asymptomatic COVID-19 patients, its genome detection in the sewage water can be used as a powerful epidemiological tool to predict the number of positive cases in a population. This study was conducted to detect SARS-CoV-2 genome in sewage water during the lockdown. Sewage samples, from 28 pre-selected sites, were collected on alternate days from 13-25 July, 2020 from two selected areas [Johar Town (n = 05) and Township (n = 23)], where smart lockdown were implemented by the government authorities on 9th July, 2020. Genomic RNA was extracted and the SARS-CoV-2 was detected and quantified using commercially available kit through Real-Time PCR. Out of 28, sixteen samples were positive on day one while 19, 17, 23, 17, 05 and 09 samples were positive on day 3, 5, 7, 9, 11, and 13, respectively. Results revealed a decreased positivity rate and SARS CoV-2 genome copies in sewage towards the end of lockdown however few sampling sites did not follow a clear pattern indicating the complexities in sewage water based surveillance i.e time of sampling etc. Hourly sampling from two sites for 24 hours also revealed the impact of sampling time on detection of SARS-CoV-2 genome in sewage. Results of current study insinuate a possible role of sewage-based COVID-19 surveillance in monitoring and execution of smart lockdowns.
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Affiliation(s)
- Yaqub Tahir
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Nawaz Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Z Shabbir Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A Ali Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Altaf Imran
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Raza Sohail
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A B Shabbir Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A Ashraf Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Z Aziz Syed
- Water and Sanitation Agency, Lahore, Punjab, Pakistan
| | | | | | - Rafique Saira
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Hassan Sohail
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Sardar Nageen
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Mehmood Adnan
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - W Aziz Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Fazal Sehar
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Hussain Nadir
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - T Khan Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - M Atique Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Asif Ali
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Anwar Muhammad
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - A Awan Nabeel
- Specialized Healthcare & Medical Education Department, Punjab, Pakistan
| | | | | | | | - Mukhtar Nadia
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan;Institute of Public Health, Lahore, Pakistan
| | - Sarwar Huda
- Institute of Public Health, Lahore, Pakistan
| | - S Rana Maaz
- Institute of Public Health, Lahore, Pakistan
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Ezhilan M, Suresh I, Nesakumar N. SARS-CoV, MERS-CoV and SARS-CoV-2: A Diagnostic Challenge. MEASUREMENT : JOURNAL OF THE INTERNATIONAL MEASUREMENT CONFEDERATION 2021; 168:108335. [PMID: 33519010 PMCID: PMC7833337 DOI: 10.1016/j.measurement.2020.108335] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 07/20/2020] [Accepted: 08/01/2020] [Indexed: 05/15/2023]
Abstract
The highly pathogenic MERS-CoV, SARS-CoV and SARS-CoV-2 cause acute respiratory syndrome and are often fatal. These new viruses pose major problems to global health in general and primarily to infection control and public health services. Accurate and selective assessment of MERS-CoV, SARS-CoV and SARS-CoV-2 would assist in the effective diagnosis of infected individual, offer clinical guidance and aid in assessing clinical outcomes. In this mini-review, we review the literature on various aspects, including the history and diversity of SARS-CoV-2, SARS-CoV and MERS-CoV, their detection methods in effective clinical diagnosis, clinical assessment of COVID-19, safety guidelines recommended by World Health Organization and legal regulations. This review article also deals with existing challenges and difficulties in the clinical diagnosis of SARS-CoV-2. Developing alternative diagnostic platforms by spotting the shortcomings of the existing point-of-care diagnostic devices would be useful in preventing future outbreaks.
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Affiliation(s)
- Madeshwari Ezhilan
- School of Electrical and Electronics Engineering, Centre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed University, Thanjavur 613401, Tamil Nadu, India
| | - Indhu Suresh
- School of Electrical and Electronics Engineering, Centre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed University, Thanjavur 613401, Tamil Nadu, India
| | - Noel Nesakumar
- School of Chemical and Biotechnology, Centre for Nanotechnology & Advanced Biomaterials (CeNTAB), SASTRA Deemed University, Thanjavur 613401, Tamil Nadu, India
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