1
|
Erendereg M, Tumurbaatar S, Byambaa O, Enebish G, Burged N, Khurelsukh T, Baatar N, Munkhjin B, Ulziijargal J, Gantumur A, Altanbayar O, Batjargal O, Altangerel D, Tulgaa K, Ganbold S, Tundev O, Jigjidsuren S, Nyamdorj T, Tsedenbal N, Batmunkh B, Jantsansengee B, Lkhagvaa B, Tsolmon B, Enebish O, Tsevegmid E, Sereejav E, Nyamdavaa K, Erkhembayar R, Chimeddorj B. Molecular epidemiology of SARS-CoV-2 in Mongolia, first experience with nanopore sequencing in lower- and middle-income countries setting. Immun Inflamm Dis 2023; 11:e1095. [PMID: 38156392 PMCID: PMC10716720 DOI: 10.1002/iid3.1095] [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: 07/22/2023] [Revised: 09/30/2023] [Accepted: 11/09/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Coronavirus disease (COVID-19) has had a significant impact globally, and extensive genomic research has been conducted on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage patterns and its variants. Mongolia's effective response resulted in low prevalence until vaccinations became available. However, due to the lack of systematically collected data and absence of whole genome sequencing capabilities, we conducted a two-stepped, nationally representative molecular epidemiologic study of SARS-CoV-2 in Mongolia for 2020 and 2021. METHODS We used retrospective analysis of stored biological samples from November 2020 to October 2021 and a variant-specific real-time reverse transcription polymerase chain reaction (RT-PCR) test to detect SARS-CoV-2 variants, followed by whole genome sequencing by Nanopore technology. Samples were retrieved from different sites and stored at -70°C deep freezer, and tests were performed on samples with cycle threshold <30. RESULTS Out of 4879 nucleic acid tests, 799 whole genome sequencing had been carried out. Among the stored samples of earlier local transmission, we found the 20B (B.1.1.46) variant predominated in the earlier local transmission period. A slower introduction and circulation of alpha and delta variants were observed compared to global dynamics in 2020 and 2021. Beta or Gamma variants were not detected between November 2020 and September 2021 in Mongolia. CONCLUSIONS SARS-CoV-2 variants of concerns including alpha and delta were delayed in circulation potentially due to public health stringencies in Mongolia. We are sharing our initial experience with whole genome sequencing of SARS-CoV-2 from Mongolia, where sequencing data is sparse.
Collapse
Affiliation(s)
- Munkhtuya Erendereg
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
- Intermed HospitalUlaanbaatarMongolia
| | - Suvd Tumurbaatar
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Otgonjargal Byambaa
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Gerelmaa Enebish
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | | | | | - Badmaarag Munkhjin
- Division for Science and TechnologyMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | - Anuujin Gantumur
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Oyunbaatar Altanbayar
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
| | - Ochbadrakh Batjargal
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | - Khosbayar Tulgaa
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| | | | - Odgerel Tundev
- National Center for Communicable DiseasesUlaanbaatarMongolia
| | | | | | | | | | | | - Battur Lkhagvaa
- National Center for Communicable DiseasesUlaanbaatarMongolia
| | - Bilegtsaikhan Tsolmon
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
- National Center for Communicable DiseasesUlaanbaatarMongolia
| | | | | | | | | | - Ryenchindorj Erkhembayar
- International Cyber Education Center, Graduate SchoolMongolian National University of Medical SciencesUlaanbaatarMongolia
- Department of Global Health and PopulationHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Battogtokh Chimeddorj
- Department of Microbiology and Infection Prevention Control, School of BiomedicineMongolian National University of Medical SciencesUlaanbaatarMongolia
- Institute of Biomedical SciencesMongolian National University of Medical SciencesUlaanbaatarMongolia
| |
Collapse
|
2
|
Ndiaye AJS, Beye M, Sow A, Lo G, Padane A, Sokhna C, Kane CT, Colson P, Fenollar F, Mboup S, Fournier PE. COVID-19 in 16 West African Countries: An Assessment of the Epidemiology and Genetic Diversity of SARS-CoV-2 after Four Epidemic Waves. Am J Trop Med Hyg 2023; 109:861-873. [PMID: 37640294 PMCID: PMC10551082 DOI: 10.4269/ajtmh.22-0469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 07/18/2023] [Indexed: 08/31/2023] Open
Abstract
West Africa faced the COVID-19 pandemic in early March 2020 and, as of March 31, 2022, had more than 900,000 confirmed cases and more than 12,000 deaths. During this period, SARS-CoV-2 genomes evolved genetically, resulting in the emergence of distinct lineages. This review was conducted to provide the epidemiological profile of COVID-19, the mutational profile of SARS-CoV-2, and the dynamics of its lineages in the 16 west African countries by analyzing data from 33 studies and seven situation reports. For a more complete representation of the epidemiology and genetic diversity of SARS-CoV-2, we used reliable public data in addition to eligible studies. As of March 31, 2022, the 16 west African countries experienced four epidemic waves with variable intensities. Higher mortality was noted during the third wave with a case fatality rate (CFR) of 1.9%. After these four epidemic waves, Liberia recorded the highest CFR (4.0%), whereas Benin had the lowest CFR (0.6%). Through mutational analysis, a high genetic heterogeneity of the genomes was observed, with a predominance of mutations in the spike protein. From this high mutational rate, different lineages emerged. Our analysis of the evolutionary diversity allowed us to count 205 lineages circulating in west Africa. This study has provided a good representation of the mutational profile and the prevalence of SARS CoV-2 lineages beyond the knowledge of the global epidemiology of the 16 African countries.
Collapse
Affiliation(s)
- Anna Julienne Selbé Ndiaye
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
| | - Mamadou Beye
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
| | - Aissatou Sow
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Gora Lo
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Abdou Padane
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
| | - Cheikh Sokhna
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- Vecteurs - Infections Tropicales et Méditerranéennes, Campus International Institut de Recherche pour le Développement-Université Cheikh Anta Diop de l’IRD, Dakar, Senegal
- IRD, Assistance Publique - Hôpitaux de Marseille, Service de Santé des Armées, VITROME, Aix Marseille University, Marseille, France
| | - Coumba Touré Kane
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Philippe Colson
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- IRD, AP-HM, Microbes Evolution Phylogeny and Infections, Aix Marseille University, Marseille, France
| | - Florence Fenollar
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- IRD, Assistance Publique - Hôpitaux de Marseille, Service de Santé des Armées, VITROME, Aix Marseille University, Marseille, France
| | - Souleymane Mboup
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Pierre-Edouard Fournier
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- IRD, Assistance Publique - Hôpitaux de Marseille, Service de Santé des Armées, VITROME, Aix Marseille University, Marseille, France
| |
Collapse
|
3
|
Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
Collapse
Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| |
Collapse
|
4
|
Liu Z, Gao L, Xue C, Zhao C, Liu T, Tia A, Wang L, Sun J, Li Z, Harding D. Epidemiological Trends of Coronavirus Disease 2019 in Sierra Leone From March 2020 to October 2021. Front Public Health 2022; 10:949425. [PMID: 35844842 PMCID: PMC9276960 DOI: 10.3389/fpubh.2022.949425] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 06/06/2022] [Indexed: 11/23/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19), a serious public health challenge the world over, has led to significant health concerns in Sierra Leone. In the present study, epidemic indices, such as the number of cases, positivity rate, reproduction rate (R0), case fatality rate (CFR), age, and sex, were used to characterize the epidemiological trends of COVID-19. As of October 31, 2021, a total of 6,398 cases and 121 related deaths had been confirmed. The total number of COVID-19 reverse transcription polymerase chain reaction (RT-PCR) tests conducted to October 31, 2021, was 249,534, and the average positivity rate was 2.56%. Three waves of COVID-19 were recorded, occurring during weeks 15–46 in 2020 (2,369 cases), week 47 in 2020 to week 16 in 2021 (1,665 cases), and weeks 17–43 in 2021 (2,364 cases), respectively. Remarkably, there was no increase in the numbers of confirmed COVID-19 cases despite rising test numbers throughout the three waves. Moreover, three high R0 values were observed before each wave. The number of positive cases significantly correlated with positive numbers of international arrivals (P < 0.01), deaths (P < 0.01), and the positivity rate of tested samples (P < 0.01). Moreover, all of the deaths occurred during the peak of the three waves. Our results indicate that there was a low level of COVID-19 epidemic in Sierra Leone and that COVID-19's introduction led to local transmission. It is vital to fight against the spread of SARS-CoV-2 from the source of origin by strengthening testing and management of people entering the country. Our findings will provide important clues for expanding sample screening and will contribute to the reasonable allocation of medical resources.
Collapse
Affiliation(s)
- Zhiguo Liu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Sierra Leone-China Friendship Biological Safety Laboratory, Freetown, Sierra Leone
| | - Liping Gao
- Sierra Leone-China Friendship Biological Safety Laboratory, Freetown, Sierra Leone
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chuizhao Xue
- Sierra Leone-China Friendship Biological Safety Laboratory, Freetown, Sierra Leone
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, China
| | - Chunchun Zhao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Sierra Leone-China Friendship Biological Safety Laboratory, Freetown, Sierra Leone
| | - Tiezhu Liu
- Sierra Leone-China Friendship Biological Safety Laboratory, Freetown, Sierra Leone
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Alie Tia
- Sierra Leone-China Friendship Biological Safety Laboratory, Freetown, Sierra Leone
| | - Lili Wang
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junling Sun
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- *Correspondence: Junling Sun
| | - Zhenjun Li
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Zhenjun Li
| | - Doris Harding
- Central Public Health Reference Laboratories, Ministry of Health and Sanitation, Freetown, Sierra Leone
- Doris Harding
| |
Collapse
|
5
|
SARS-CoV-2 Whole-Genome Sequencing by Ion S5 Technology—Challenges, Protocol Optimization and Success Rates for Different Strains. Viruses 2022; 14:v14061230. [PMID: 35746701 PMCID: PMC9227152 DOI: 10.3390/v14061230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/14/2022] [Accepted: 06/04/2022] [Indexed: 01/18/2023] Open
Abstract
The COVID-19 pandemic demonstrated how rapidly various molecular methods can be adapted for a Public Health Emergency. Whether a need arises for whole-genome studies (next-generation sequencing), fast and high-throughput diagnostics (reverse-transcription real-time PCR) or global immunization (construction of mRNA or viral vector vaccines), the scientific community has been able to answer all these calls. In this study, we aimed at the assessment of effectiveness of the commercially available solution for full-genome SARS-CoV-2 sequencing (AmpliSeq™ SARS-CoV-2 Research Panel and Ion AmpliSeq™ Library Kit Plus, Thermo Fisher Scientific). The study is based on 634 samples obtained from patients from Poland, with varying viral load, assigned to a number of lineages. Here, we also present the results of protocol modifications implemented to obtain high-quality genomic data. We found that a modified library preparation protocol required less viral RNA input in order to obtain the optimal library quantity. Concurrently, neither concentration of cDNA nor reamplification of libraries from low-template samples improved the results of sequencing. On the basis of the amplicon success rates, we propose one amplicon to be redesigned, namely, the r1_1.15.1421280, for which less than 50 reads were produced by 44% of samples. Additionally, we found several mutations within different SARS-CoV-2 lineages that cause the neighboring amplicons to underperform. Therefore, due to constant SARS-CoV-2 evolution, we support the idea of conducting ongoing sequence-based surveillance studies to continuously validate commercially available RT-PCR and whole-genome sequencing solutions.
Collapse
|