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Ahmad H, Rahman S, Ali M. Molecular identification and genetic diversity of Pteropus giganteus and Pipistrellus javanicus from Pakistan: A non-invasive approach. Gene 2025; 960:149540. [PMID: 40328385 DOI: 10.1016/j.gene.2025.149540] [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] [Received: 10/16/2024] [Revised: 04/24/2025] [Accepted: 04/30/2025] [Indexed: 05/08/2025]
Abstract
The scarcity of genetic data hinders bat species identification in Pakistan. Despite more than 1480 bat species worldwide, morphology-based identification remains challenging due to the similarity in physical characteristics and the lack of distinct morphological features among many species. This study addresses this gap by employing DNA barcoding (cytochrome b) to identify bat species non-invasively from fecal samples, collected samples without harming the bats, across various regions of Pakistan and identified two bat species, Pteropus giganteus and Pipistrellus javanicus. Phylogenetic analysis of Pipistrellus javanicus sequences clustered with a sequence previously reported sequences from India and China while Pteropus giganteus was made and clustered with previously reported sequences from Bangladesh indicating possible gene flow. We investigated haplotype diversity and nucleotide diversity that revealed P. giganteus displayed moderate genetic diversity (h = 0.714, π = 0.003 respectively) and P. javanicus showed high genetic diversity (h = 1.000, π = 0.020). Pairwise genetic distances (K2P and matrix analysis) revealed varying levels of differentiation among populations within each species, while the negative value in neutrality tests suggested potential/sudden population expansion for both species. The current study offers important insights into the genetic landscape and population dynamics of bat species in Pakistan. Future studies should incorporate additional genetic markers, morphological examinations, and ecological data to definitively characterize these potential new species and contribute to a more comprehensive understanding of Pakistan's bat fauna.
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Affiliation(s)
- Hanbal Ahmad
- Department of Biotechnology, Quaid-i-Azam University Islamabad, Pakistan
| | - Sidra Rahman
- Department of Biotechnology, Quaid-i-Azam University Islamabad, Pakistan
| | - Muhammad Ali
- Department of Biotechnology, Quaid-i-Azam University Islamabad, Pakistan.
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Silva PV, Nobre CN. Computational methods in the analysis of SARS-CoV-2 in mammals: A systematic review of the literature. Comput Biol Med 2024; 173:108264. [PMID: 38564853 DOI: 10.1016/j.compbiomed.2024.108264] [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] [Received: 06/28/2023] [Revised: 02/15/2024] [Accepted: 03/06/2024] [Indexed: 04/04/2024]
Abstract
SARS-CoV-2 is an enveloped RNA virus that causes severe respiratory illness in humans and animals. It infects cells by binding the Spike protein to the host's angiotensin-converting enzyme 2 (ACE2). The bat is considered the natural host of the virus, and zoonotic transmission is a significant risk and can happen when humans come into close contact with infected animals. Therefore, understanding the interconnection between human, animal, and environmental health is important to prevent and control future coronavirus outbreaks. This work aimed to systematically review the literature to identify characteristics that make mammals suitable virus transmitters and raise the main computational methods used to evaluate SARS-CoV-2 in mammals. Based on this review, it was possible to identify the main factors related to transmissions mentioned in the literature, such as the expression of ACE2 and proximity to humans, in addition to identifying the computational methods used for its study, such as Machine Learning, Molecular Modeling, Computational Simulation, between others. The findings of the work contribute to the prevention and control of future outbreaks, provide information on transmission factors, and highlight the importance of advanced computational methods in the study of infectious diseases that allow a deeper understanding of transmission patterns and can help in the development of more effective control and intervention strategies.
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Affiliation(s)
- Paula Vitória Silva
- Pontifical Catholic University of Minas Gerais - PUC Minas, 500 Dom José Gaspar Street, Building 41, Coração Eucarístico, Belo Horizonte, MG 30535-901, Brazil.
| | - Cristiane N Nobre
- Pontifical Catholic University of Minas Gerais - PUC Minas, 500 Dom José Gaspar Street, Building 41, Coração Eucarístico, Belo Horizonte, MG 30535-901, Brazil.
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Temmam S, Tu TC, Regnault B, Bonomi M, Chrétien D, Vendramini L, Duong TN, Phong TV, Yen NT, Anh HN, Son TH, Anh PT, Amara F, Bigot T, Munier S, Thong VD, van der Werf S, Nam VS, Eloit M. Genotype and Phenotype Characterization of Rhinolophus sp. Sarbecoviruses from Vietnam: Implications for Coronavirus Emergence. Viruses 2023; 15:1897. [PMID: 37766303 PMCID: PMC10536463 DOI: 10.3390/v15091897] [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] [Received: 07/13/2023] [Revised: 08/11/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Bats are a major reservoir of zoonotic viruses, including coronaviruses. Since the emergence of SARS-CoV in 2002/2003 in Asia, important efforts have been made to describe the diversity of Coronaviridae circulating in bats worldwide, leading to the discovery of the precursors of epidemic and pandemic sarbecoviruses in horseshoe bats. We investigated the viral communities infecting horseshoe bats living in Northern Vietnam, and report here the first identification of sarbecoviruses in Rhinolophus thomasi and Rhinolophus siamensis bats. Phylogenetic characterization of seven strains of Vietnamese sarbecoviruses identified at least three clusters of viruses. Recombination and cross-species transmission between bats seemed to constitute major drivers of virus evolution. Vietnamese sarbecoviruses were mainly enteric, therefore constituting a risk of spillover for guano collectors or people visiting caves. To evaluate the zoonotic potential of these viruses, we analyzed in silico and in vitro the ability of their RBDs to bind to mammalian ACE2s and concluded that these viruses are likely restricted to their bat hosts. The workflow applied here to characterize the spillover potential of novel sarbecoviruses is of major interest for each time a new virus is discovered, in order to concentrate surveillance efforts on high-risk interfaces.
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Affiliation(s)
- Sarah Temmam
- Pathogen Discovery Laboratory, Institut Pasteur, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, The OIE Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Université Paris Cité, 75015 Paris, France
| | - Tran Cong Tu
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Béatrice Regnault
- Pathogen Discovery Laboratory, Institut Pasteur, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, The OIE Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Université Paris Cité, 75015 Paris, France
| | - Massimiliano Bonomi
- Structural Bioinformatics Unit, Institut Pasteur, CNRS UMR3528, Université Paris Cité, 75015 Paris, France
| | - Delphine Chrétien
- Pathogen Discovery Laboratory, Institut Pasteur, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, The OIE Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Université Paris Cité, 75015 Paris, France
| | - Léa Vendramini
- Pathogen Discovery Laboratory, Institut Pasteur, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, The OIE Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Université Paris Cité, 75015 Paris, France
| | - Tran Nhu Duong
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Tran Vu Phong
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Nguyen Thi Yen
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Hoang Ngoc Anh
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Tran Hai Son
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Pham Tuan Anh
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Faustine Amara
- Institut Pasteur, G5 Evolutionary Genomics of RNA Viruses, Université Paris Cité, 75015 Paris, France
| | - Thomas Bigot
- Pathogen Discovery Laboratory, Institut Pasteur, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, Bioinformatics and Biostatistics Hub, Université Paris Cité, 75015 Paris, France
| | - Sandie Munier
- Institut Pasteur, G5 Evolutionary Genomics of RNA Viruses, Université Paris Cité, 75015 Paris, France
| | - Vu Dinh Thong
- Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology (VAST), Hanoi 70072, Vietnam
| | - Sylvie van der Werf
- Molecular Genetics of RNA Viruses Unit, Institut Pasteur, CNRS UMR 3569, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, National Reference Center for Respiratory Viruses, Université Paris Cité, 75015 Paris, France
| | - Vu Sinh Nam
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Marc Eloit
- Pathogen Discovery Laboratory, Institut Pasteur, Université Paris Cité, 75015 Paris, France
- Institut Pasteur, The OIE Collaborating Center for the Detection and Identification in Humans of Emerging Animal Pathogens, Université Paris Cité, 75015 Paris, France
- Ecole Nationale Vétérinaire d’Alfort, University of Paris-Est, 77420 Maisons-Alfort, France
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