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1.
Pathogens ; 11(9):1017, 2022.
Article in English | MDPI | ID: covidwho-2010230

ABSTRACT

The rise of bat-associated zoonotic viruses necessitates a close monitoring of their natural hosts. Since the detection of severe acute respiratory syndrome coronavirus (SARS-CoV), it is evident that bats are vital reservoirs of coronaviruses (CoVs). In this study, we investigated the presence of CoVs in multiple bat species in Nigeria to identify viruses in bats at high-risk human contact interfaces. Four hundred and nine bats comprising four bat species close to human habitats were individually sampled from five states in Nigeria between 2019 and 2021. Coronavirus detection was done using broadly reactive consensus PCR primers targeting the RNA-dependent RNA polymerase (RdRp) gene of CoVs. Coronavirus RNA was detected in 39 samples (9.5%, CI 95%: [7.0, 12.8]), of which 29 were successfully sequenced. The identified CoVs in Nigerian bats were from the unclassified African alphacoronavirus lineage and betacoronavirus lineage D (Nobecovirus), with one sample from Hipposideros ruber coinfected with alphacoronavirus and betacoronavirus. Different bat species roosting in similar or other places had CoVs from the same genetic lineage. The phylogenetic and evolutionary dynamics data indicated a high CoV diversity in Nigeria, while host switching may have contributed to CoV evolution. Robust sentinel surveillance is recommended to enhance our knowledge of emerging and re-emerging coronaviruses.

2.
Nat Biomed Eng ; 2022 May 30.
Article in English | MEDLINE | ID: covidwho-1873504

ABSTRACT

The widespread transmission and evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) call for rapid nucleic acid diagnostics that are easy to use outside of centralized clinical laboratories. Here we report the development and performance benchmarking of Cas13-based nucleic acid assays leveraging lyophilised reagents and fast sample inactivation at ambient temperature. The assays, which we named SHINEv.2 (for 'streamlined highlighting of infections to navigate epidemics, version 2'), simplify the previously reported RNA-extraction-free SHINEv.1 technology by eliminating heating steps and the need for cold storage of the reagents. SHINEv.2 detected SARS-CoV-2 in nasopharyngeal samples with 90.5% sensitivity and 100% specificity (benchmarked against the reverse transcription quantitative polymerase chain reaction) in less than 90 min, using lateral-flow technology and incubation in a heat block at 37 °C. SHINEv.2 also allows for the visual discrimination of the Alpha, Beta, Gamma, Delta and Omicron SARS-CoV-2 variants, and can be run without performance losses by using body heat. Accurate, easy-to-use and equipment-free nucleic acid assays could facilitate wider testing for SARS-CoV-2 and other pathogens in point-of-care and at-home settings.

3.
Houriiyah Tegally; James E. San; Matthew Cotten; Bryan Tegomoh; Gerald Mboowa; Darren P. Martin; Cheryl Baxter; Monika Moir; Arnold Lambisia; Amadou Diallo; Daniel G. Amoako; Moussa M. Diagne; Abay Sisay; Abdel-Rahman N. Zekri; Abdelhamid Barakat; Abdou Salam Gueye; Abdoul K. Sangare; Abdoul-Salam Ouedraogo; Abdourahmane SOW; Abdualmoniem O. Musa; Abdul K. Sesay; Adamou LAGARE; Adedotun-Sulaiman Kemi; Aden Elmi Abar; Adeniji A. Johnson; Adeola Fowotade; Adewumi M. Olubusuyi; Adeyemi O. Oluwapelumi; Adrienne A. Amuri; Agnes Juru; Ahmad Mabrouk Ramadan; Ahmed Kandeil; Ahmed Mostafa; Ahmed Rebai; Ahmed Sayed; Akano Kazeem; Aladje Balde; Alan Christoffels; Alexander J. Trotter; Allan Campbell; Alpha Kabinet KEITA; Amadou Kone; Amal Bouzid; Amal Souissi; Ambrose Agweyu; Ana V. Gutierrez; Andrew J. Page; Anges Yadouleton; Anika Vinze; Anise N. Happi; Anissa Chouikha; Arash Iranzadeh; Arisha Maharaj; Armel Landry Batchi-Bouyou; Arshad Ismail; Augustina Sylverken; Augustine Goba; Ayoade Femi; Ayotunde Elijah Sijuwola; Azeddine Ibrahimi; Baba Marycelin; Babatunde Lawal Salako; Bamidele S. Oderinde; Bankole Bolajoko; Beatrice Dhaala; Belinda L. Herring; Benjamin Tsofa; Bernard Mvula; Berthe-Marie Njanpop-Lafourcade; Blessing T. Marondera; Bouh Abdi KHAIREH; Bourema Kouriba; Bright Adu; Brigitte Pool; Bronwyn McInnis; Cara Brook; Carolyn Williamson; Catherine Anscombe; Catherine B. Pratt; Cathrine Scheepers; Chantal G. Akoua-Koffi; Charles N. Agoti; Cheikh Loucoubar; Chika Kingsley Onwuamah; Chikwe Ihekweazu; Christian Noel MALAKA; Christophe Peyrefitte; Chukwuma Ewean Omoruyi; Clotaire Donatien Rafai; Collins M. Morang'a; D. James Nokes; Daniel Bugembe Lule; Daniel J. Bridges; Daniel Mukadi-Bamuleka; Danny Park; David Baker; Deelan Doolabh; Deogratius Ssemwanga; Derek Tshiabuila; Diarra Bassirou; Dominic S.Y. Amuzu; Dominique Goedhals; Donald S. Grant; Donwilliams O. Omuoyo; Dorcas Maruapula; Dorcas Waruguru Wanjohi; Ebenezer Foster-Nyarko; Eddy K. Lusamaki; Edgar Simulundu; Edidah M. Ong'era; Edith N. Ngabana; Edward O. Abworo; Edward Otieno; Edwin Shumba; Edwine Barasa; EL BARA AHMED; Elmostafa EL FAHIME; Emmanuel Lokilo; Enatha Mukantwari; Erameh Cyril; Eromon Philomena; Essia Belarbi; Etienne Simon-Loriere; Etile A. Anoh; Fabian Leendertz; Fahn M. Taweh; Fares Wasfi; Fatma Abdelmoula; Faustinos T. Takawira; Fawzi Derrar; Fehintola V Ajogbasile; Florette Treurnicht; Folarin Onikepe; Francine Ntoumi; Francisca M. Muyembe; FRANCISCO NGIAMBUDULU; Frank Edgard ZONGO Ragomzingba; Fred Athanasius DRATIBI; Fred-Akintunwa Iyanu; Gabriel K. Mbunsu; Gaetan Thilliez; Gemma L. Kay; George O. Akpede; George E Uwem; Gert van Zyl; Gordon A. Awandare; Grit Schubert; Gugu P. Maphalala; Hafaliana C. Ranaivoson; Hajar Lemriss; Hannah E Omunakwe; Harris Onywera; Haruka Abe; HELA KARRAY; Hellen Nansumba; Henda Triki; Herve Alberic ADJE KADJO; Hesham Elgahzaly; Hlanai Gumbo; HOTA mathieu; Hugo Kavunga-Membo; Ibtihel Smeti; Idowu B. Olawoye; Ifedayo Adetifa; Ikponmwosa Odia; Ilhem Boutiba-Ben Boubaker; Isaac Ssewanyana; Isatta Wurie; Iyaloo S Konstantinus; Jacqueline Wemboo Afiwa Halatoko; James Ayei; Janaki Sonoo; Jean Bernard LEKANA-DOUKI; Jean-Claude C. Makangara; Jean-Jacques M. Tamfum; Jean-Michel Heraud; Jeffrey G. Shaffer; Jennifer Giandhari; Jennifer Musyoki; Jessica N. Uwanibe; Jinal N. Bhiman; Jiro Yasuda; Joana Morais; Joana Q. Mends; Jocelyn Kiconco; John Demby Sandi; John Huddleston; John Kofi Odoom; John M. Morobe; John O. Gyapong; John T. Kayiwa; Johnson C. Okolie; Joicymara Santos Xavier; Jones Gyamfi; Joseph Humphrey Kofi Bonney; Joseph Nyandwi; Josie Everatt; Jouali Farah; Joweria Nakaseegu; Joyce M. Ngoi; Joyce Namulondo; Judith U. Oguzie; Julia C. Andeko; Julius J. Lutwama; Justin O'Grady; Katherine J Siddle; Kathleen Victoir; Kayode T. Adeyemi; Kefentse A. Tumedi; Kevin Sanders Carvalho; Khadija Said Mohammed; Kunda G. Musonda; Kwabena O. Duedu; Lahcen Belyamani; Lamia Fki-Berrajah; Lavanya Singh; Leon Biscornet; Leonardo de Oliveira Martins; Lucious Chabuka; Luicer Olubayo; Lul Lojok Deng; Lynette Isabella Ochola-Oyier; Madisa Mine; Magalutcheemee Ramuth; Maha Mastouri; Mahmoud ElHefnawi; Maimouna Mbanne; Maitshwarelo I. Matsheka; Malebogo Kebabonye; Mamadou Diop; Mambu Momoh; Maria da Luz Lima Mendonca; Marietjie Venter; Marietou F Paye; Martin Faye; Martin M. Nyaga; Mathabo Mareka; Matoke-Muhia Damaris; Maureen W. Mburu; Maximillian Mpina; Claujens Chastel MFOUTOU MAPANGUY; Michael Owusu; Michael R. Wiley; Mirabeau Youtchou Tatfeng; Mitoha Ondo'o Ayekaba; Mohamed Abouelhoda; Mohamed Amine Beloufa; Mohamed G Seadawy; Mohamed K. Khalifa; Mohammed Koussai DELLAGI; Mooko Marethabile Matobo; Mouhamed Kane; Mouna Ouadghiri; Mounerou Salou; Mphaphi B. Mbulawa; Mudashiru Femi Saibu; Mulenga Mwenda; My V.T. Phan; Nabil Abid; Nadia Touil; Nadine Rujeni; Nalia Ismael; Ndeye Marieme Top; Ndongo Dia; Nedio Mabunda; Nei-yuan Hsiao; Nelson Borico Silochi; Ngonda Saasa; Nicholas Bbosa; Nickson Murunga; Nicksy Gumede; Nicole Wolter; Nikita Sitharam; Nnaemeka Ndodo; Nnennaya A. Ajayi; Noel Tordo; Nokuzola Mbhele; Norosoa H Razanajatovo; Nosamiefan Iguosadolo; Nwando Mba; Ojide C. Kingsley; Okogbenin Sylvanus; Okokhere Peter; Oladiji Femi; Olumade Testimony; Olusola Akinola Ogunsanya; Oluwatosin Fakayode; Onwe E. Ogah; Ousmane Faye; Pamela Smith-Lawrence; Pascale Ondoa; Patrice Combe; Patricia Nabisubi; Patrick Semanda; Paul E. Oluniyi; Paulo Arnaldo; Peter Kojo Quashie; Philip Bejon; Philippe Dussart; Phillip A. Bester; Placide K. Mbala; Pontiano Kaleebu; Priscilla Abechi; Rabeh El-Shesheny; Rageema Joseph; Ramy Karam Aziz; Rene Ghislain Essomba; Reuben Ayivor-Djanie; Richard Njouom; Richard O. Phillips; Richmond Gorman; Robert A. Kingsley; Rosemary Audu; Rosina A.A. Carr; Saad El Kabbaj; Saba Gargouri; Saber Masmoudi; Safietou Sankhe; Sahra Isse Mohamed; Salma MHALLA; Salome Hosch; Samar Kamal Kassim; Samar Metha; Sameh Trabelsi; Sanaa Lemriss; Sara Hassan Agwa; Sarah Wambui Mwangi; Seydou Doumbia; Sheila Makiala-Mandanda; Sherihane Aryeetey; Shymaa S. Ahmed; SIDI MOHAMED AHMED; Siham Elhamoumi; Sikhulile Moyo; Silvia Lutucuta; Simani Gaseitsiwe; Simbirie Jalloh; Soafy Andriamandimby; Sobajo Oguntope; Solene Grayo; Sonia Lekana-Douki; Sophie Prosolek; Soumeya Ouangraoua; Stephanie van Wyk; Stephen F. Schaffner; Stephen Kanyerezi; Steve AHUKA-MUNDEKE; Steven Rudder; Sureshnee Pillay; Susan Nabadda; Sylvie Behillil; Sylvie L. Budiaki; Sylvie van der Werf; Tapfumanei Mashe; Tarik Aanniz; Thabo Mohale; Thanh Le-Viet; Thirumalaisamy P. Velavan; Tobias Schindler; Tongai Maponga; Trevor Bedford; Ugochukwu J. Anyaneji; Ugwu Chinedu; Upasana Ramphal; Vincent Enouf; Vishvanath Nene; Vivianne Gorova; Wael H. Roshdy; Wasim Abdul Karim; William K. Ampofo; Wolfgang Preiser; Wonderful T. Choga; Yahaya ALI ALI AHMED; Yajna Ramphal; Yaw Bediako; Yeshnee Naidoo; Yvan Butera; Zaydah R. de Laurent; Ahmed E.O. Ouma; Anne von Gottberg; George Githinji; Matshidiso Moeti; Oyewale Tomori; Pardis C. Sabeti; Amadou A. Sall; Samuel O. Oyola; Yenew K. Tebeje; Sofonias K. Tessema; Tulio de Oliveira; Christian Happi; Richard Lessells; John Nkengasong; Eduan Wilkinson.
Preprint in English | medRxiv | ID: ppmedrxiv-22273906

ABSTRACT

Investment in Africa over the past year with regards to SARS-CoV-2 genotyping has led to a massive increase in the number of sequences, exceeding 100,000 genomes generated to track the pandemic on the continent. Our results show an increase in the number of African countries able to sequence within their own borders, coupled with a decrease in sequencing turnaround time. Findings from this genomic surveillance underscores the heterogeneous nature of the pandemic but we observe repeated dissemination of SARS-CoV-2 variants within the continent. Sustained investment for genomic surveillance in Africa is needed as the virus continues to evolve, particularly in the low vaccination landscape. These investments are very crucial for preparedness and response for future pathogen outbreaks. One-Sentence SummaryExpanding Africa SARS-CoV-2 sequencing capacity in a fast evolving pandemic.

4.
PeerJ ; 9: e12129, 2021.
Article in English | MEDLINE | ID: covidwho-1395272

ABSTRACT

Next generation sequencing (NGS)-based studies have vastly increased our understanding of viral diversity. Viral sequence data obtained from NGS experiments are a rich source of information, these data can be used to study their epidemiology, evolution, transmission patterns, and can also inform drug and vaccine design. Viral genomes, however, represent a great challenge to bioinformatics due to their high mutation rate and forming quasispecies in the same infected host, bringing about the need to implement advanced bioinformatics tools to assemble consensus genomes well-representative of the viral population circulating in individual patients. Many tools have been developed to preprocess sequencing reads, carry-out de novo or reference-assisted assembly of viral genomes and assess the quality of the genomes obtained. Most of these tools however exist as standalone workflows and usually require huge computational resources. Here we present (Viral Genomes Easily Analyzed), a Snakemake workflow for analyzing RNA viral genomes. VGEA enables users to map sequencing reads to the human genome to remove human contaminants, split bam files into forward and reverse reads, carry out de novo assembly of forward and reverse reads to generate contigs, pre-process reads for quality and contamination, map reads to a reference tailored to the sample using corrected contigs supplemented by the user's choice of reference sequences and evaluate/compare genome assemblies. We designed a project with the aim of creating a flexible, easy-to-use and all-in-one pipeline from existing/stand-alone bioinformatics tools for viral genome analysis that can be deployed on a personal computer. VGEA was built on the Snakemake workflow management system and utilizes existing tools for each step: fastp (Chen et al., 2018) for read trimming and read-level quality control, BWA (Li & Durbin, 2009) for mapping sequencing reads to the human reference genome, SAMtools (Li et al., 2009) for extracting unmapped reads and also for splitting bam files into fastq files, IVA (Hunt et al., 2015) for de novo assembly to generate contigs, shiver (Wymant et al., 2018) to pre-process reads for quality and contamination, then map to a reference tailored to the sample using corrected contigs supplemented with the user's choice of existing reference sequences, SeqKit (Shen et al., 2016) for cleaning shiver assembly for QUAST, QUAST (Gurevich et al., 2013) to evaluate/assess the quality of genome assemblies and MultiQC (Ewels et al., 2016) for aggregation of the results from fastp, BWA and QUAST. Our pipeline was successfully tested and validated with SARS-CoV-2 (n = 20), HIV-1 (n = 20) and Lassa Virus (n = 20) datasets all of which have been made publicly available. VGEA is freely available on GitHub at: https://github.com/pauloluniyi/VGEA under the GNU General Public License.

5.
Viruses ; 13(8)2021 08 13.
Article in English | MEDLINE | ID: covidwho-1376992

ABSTRACT

While investigating a signal of adaptive evolution in humans at the gene LARGE, we encountered an intriguing finding by Dr. Stefan Kunz that the gene plays a critical role in Lassa virus binding and entry. This led us to pursue field work to test our hypothesis that natural selection acting on LARGE-detected in the Yoruba population of Nigeria-conferred resistance to Lassa Fever in some West African populations. As we delved further, we conjectured that the "emerging" nature of recently discovered diseases like Lassa fever is related to a newfound capacity for detection, rather than a novel viral presence, and that humans have in fact been exposed to the viruses that cause such diseases for much longer than previously suspected. Dr. Stefan Kunz's critical efforts not only laid the groundwork for this discovery, but also inspired and catalyzed a series of events that birthed Sentinel, an ambitious and large-scale pandemic prevention effort in West Africa. Sentinel aims to detect and characterize deadly pathogens before they spread across the globe, through implementation of its three fundamental pillars: Detect, Connect, and Empower. More specifically, Sentinel is designed to detect known and novel infections rapidly, connect and share information in real time to identify emerging threats, and empower the public health community to improve pandemic preparedness and response anywhere in the world. We are proud to dedicate this work to Stefan Kunz, and eagerly invite new collaborators, experts, and others to join us in our efforts.


Subject(s)
Disaster Planning , Lassa Fever/epidemiology , Lassa virus/physiology , Africa, Western/epidemiology , Disaster Planning/methods , Humans , Lassa Fever/genetics , Lassa Fever/prevention & control , Lassa Fever/virology , Lassa virus/genetics , N-Acetylglucosaminyltransferases/genetics , N-Acetylglucosaminyltransferases/immunology , Nigeria/epidemiology , Pandemics , Polymorphism, Genetic , Receptors, Virus/genetics , Receptors, Virus/immunology
6.
Nat Commun ; 11(1): 5921, 2020 11 20.
Article in English | MEDLINE | ID: covidwho-939436

ABSTRACT

The COVID-19 pandemic has highlighted that new diagnostic technologies are essential for controlling disease transmission. Here, we develop SHINE (Streamlined Highlighting of Infections to Navigate Epidemics), a sensitive and specific diagnostic tool that can detect SARS-CoV-2 RNA from unextracted samples. We identify the optimal conditions to allow RPA-based amplification and Cas13-based detection to occur in a single step, simplifying assay preparation and reducing run-time. We improve HUDSON to rapidly inactivate viruses in nasopharyngeal swabs and saliva in 10 min. SHINE's results can be visualized with an in-tube fluorescent readout - reducing contamination risk as amplification reaction tubes remain sealed - and interpreted by a companion smartphone application. We validate SHINE on 50 nasopharyngeal patient samples, demonstrating 90% sensitivity and 100% specificity compared to RT-qPCR with a sample-to-answer time of 50 min. SHINE has the potential to be used outside of hospitals and clinical laboratories, greatly enhancing diagnostic capabilities.


Subject(s)
Betacoronavirus/isolation & purification , CRISPR-Associated Proteins/metabolism , Molecular Diagnostic Techniques/methods , Biological Assay , COVID-19 , Coronavirus Infections/diagnosis , Coronavirus Infections/virology , Fluorescence , Humans , Pandemics , Pneumonia, Viral/diagnosis , Pneumonia, Viral/virology , SARS-CoV-2
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