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Horpiencharoen W, Marshall JC, Muylaert RL, John RS, Hayman DTS. Impact of infectious diseases on wild bovidae populations in Thailand: insights from population modelling and disease dynamics. J R Soc Interface 2024; 21:20240278. [PMID: 38955228 DOI: 10.1098/rsif.2024.0278] [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: 09/03/2023] [Accepted: 06/10/2024] [Indexed: 07/04/2024] Open
Abstract
The wildlife and livestock interface is vital for wildlife conservation and habitat management. Infectious diseases maintained by domestic species may impact threatened species such as Asian bovids, as they share natural resources and habitats. To predict the population impact of infectious diseases with different traits, we used stochastic mathematical models to simulate the population dynamics over 100 years for 100 times in a model gaur (Bos gaurus) population with and without disease. We simulated repeated introductions from a reservoir, such as domestic cattle. We selected six bovine infectious diseases; anthrax, bovine tuberculosis, haemorrhagic septicaemia, lumpy skin disease, foot and mouth disease and brucellosis, all of which have caused outbreaks in wildlife populations. From a starting population of 300, the disease-free population increased by an average of 228% over 100 years. Brucellosis with frequency-dependent transmission showed the highest average population declines (-97%), with population extinction occurring 16% of the time. Foot and mouth disease with frequency-dependent transmission showed the lowest impact, with an average population increase of 200%. Overall, acute infections with very high or low fatality had the lowest impact, whereas chronic infections produced the greatest population decline. These results may help disease management and surveillance strategies support wildlife conservation.
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Affiliation(s)
- Wantida Horpiencharoen
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North 4472, New Zealand
| | - Jonathan C Marshall
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North 4472, New Zealand
| | - Renata L Muylaert
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North 4472, New Zealand
| | - Reju Sam John
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North 4472, New Zealand
| | - David T S Hayman
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North 4472, New Zealand
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Wang L, Li D. - Invited Review - Current status, challenges and prospects for pig production in Asia. Anim Biosci 2024; 37:742-754. [PMID: 38419542 PMCID: PMC11016695 DOI: 10.5713/ab.23.0303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/09/2023] [Accepted: 12/13/2023] [Indexed: 03/02/2024] Open
Abstract
Asia is not only the primary region for global pig production but also the largest consumer of pork worldwide. Although the pig production in Asia has made great progress in the past, it still is confronted with numerous challenges. These challenges include: inadequate land and feed resources, a substantial number of small-scale pig farms, escalating pressure to ensure environmental conservation, control of devastating infectious diseases, as well as coping with high temperatures and high humidity. To solve these problems, important investments of human and financial capital are required to promote large-scale production systems, exploit alternative feed resources, implement precision feeding, and focus on preventive medicine and vaccines as alternatives to antibiotics, improve pig breeding, and increase manure recycling. Implementation of these techniques and management practices will facilitate development of more environmentally-friendly and economically sustainable pig production systems in Asia, ultimately providing consumers with healthy pork products around the world.
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Affiliation(s)
- Lu Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193,
China
| | - Defa Li
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193,
China
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Li Y, Qiu S, Lu H, Niu B. Spatio-temporal analysis and risk modeling of foot-and-mouth disease outbreaks in China. Prev Vet Med 2024; 224:106120. [PMID: 38309135 DOI: 10.1016/j.prevetmed.2024.106120] [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: 06/19/2023] [Revised: 11/14/2023] [Accepted: 01/10/2024] [Indexed: 02/05/2024]
Abstract
FMD is an acute contagious disease that poses a significant threat to the health and safety of cloven-hoofed animals in Asia, Europe, and Africa. The impact of FMD exhibits geographical disparities within different regions of China. The present investigation undertook an exhaustive analysis of documented occurrences of bovine FMD in China, spanning the temporal range from 2011 to 2020. The overarching objective was to elucidate the temporal and spatial dynamics underpinning these outbreaks. Acknowledging the pivotal role of global factors in FMD outbreaks, advanced machine learning techniques were harnessed to formulate an optimal prediction model by integrating comprehensive meteorological data pertinent to global FMD. Random Forest algorithm was employed with top three contributing factors including Isothermality(bio3), Annual average temperature(bio1) and Minimum temperature in the coldest month(bio6), all relevant to temperature. By encompassing both local and global factors, our study provides a comprehensive framework for understanding and predicting FMD outbreaks. Furthermore, we conducted a phylogenetic analysis to trace the origin of Foot-and-mouth disease virus (FMDV), pinpointing India as the country posing the greatest potential hazard by leveraging the spatio-temporal attributes of the collected data. Based on this finding, a quantitative risk model was developed for the legal importation of live cattle from India to China. The model estimated an average probability of 0.002254% for FMDV-infected cattle imported from India to China. TA sensitivity analysis identified two critical nodes within the model: he possibility of false negative clinical examination in infected cattle at destination (P5) and he possibility of false negative clinical examination in infected cattle at source(P3). This comprehensive approach offers a thorough evaluation of FMD landscape within China, considering both domestic and global perspectives, thereby augmenting the efficacy of early warning mechanisms.
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Affiliation(s)
- Yi Li
- School of Life Sciences, Shanghai University, Shanghai 200444, PR China
| | - Songyin Qiu
- Chinese Academy of Inspection and Quarantine, Beijing, PR China
| | - Han Lu
- Department of Anesthesiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, PR China.
| | - Bing Niu
- School of Life Sciences, Shanghai University, Shanghai 200444, PR China.
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Aksono EB, Lamid M, Rimayanti R, Hamid IS, Effendi MH, Rantam FA, Widjiati W, Mufasirin M, Puspitasari H, Fitria M, Fajar NS, Suwanti LT, Nusdianto N, Zaidan AH, Kanai Y, Sucipto TH. Designing one-step reverse transcriptase loop-mediated isothermal amplification for serotype O foot-and-mouth disease virus detection during the 2022 outbreak in East Java, Indonesia. Vet World 2023; 16:1889-1896. [PMID: 37859973 PMCID: PMC10583884 DOI: 10.14202/vetworld.2023.1889-1896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/23/2023] [Indexed: 10/21/2023] Open
Abstract
Background and Aim Various methods can detect foot-and-mouth disease (FMD) in cows, but they necessitate resources, time, costs, laboratory facilities, and specific clinical specimen submission, often leading to FMD virus (FMDV) diagnosis delays. The 2022 FMD outbreak in East Java, Indonesia, highlighted the need for an easy, inexpensive, rapid, and accurate detection approach. This study aims to devise a one-step reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) technique and phylogenetic analysis to detect the serotype O FMDV outbreak in East Java. Materials and Methods Swab samples were collected from the foot vesicles, nasal secretions, and saliva of five suspected FMDV-infected cows in East Java between June and July 2022. The RT-LAMP design used hydroxy naphthol blue dye or SYBR Green I dye, with confirmatory analysis through reverse transcriptase polymerase chain reaction (RT-PCR) targeting 249 base pairs. PCR products underwent purification, sequencing, and nucleotide alignment, followed by phylogenetic analysis. Results The RT-LAMP method using hydroxy naphthol blue dye displayed a positive reaction through a color shift from purple to blue in the tube. Naked-eye observation in standard light or ultraviolet (UV) light at 365 nm, with SYBR Green I stain, also revealed color change. Specifically, using SYBR Green I dye, UV light at 365 nm revealed a color shift from yellow to green, signifying a positive reaction. Nucleotide alignment revealed mutations and deletion at the 15th sequence in the JT-INDO-K3 isolate from the East Java FMDV outbreak. Despite differing branches, the phylogenetic tree placed it in the same cluster as serotype O FMDV from Malaysia and Mongolia. Conclusion JT-INDO-K3 exhibited distinctions from Indonesian serotype O FMDV isolates and those documented in GenBank. Then, the RT-LAMP method used in this study has a detection limit 10 times higher latter than the conventional RT-PCR limit, without any cross-reactivity among strains.
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Affiliation(s)
- Eduardus Bimo Aksono
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
- Institute of Life Science, Technology and Engineering, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Mirni Lamid
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Rimayanti Rimayanti
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Iwan Sahrial Hamid
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Mustofa Helmi Effendi
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Fedik Abdul Rantam
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Widjiati Widjiati
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Mufasirin Mufasirin
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Heni Puspitasari
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Munawaroh Fitria
- Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia
| | - Nur Syamsiatul Fajar
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Lucia Tri Suwanti
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Nusdianto Nusdianto
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Andi Hamim Zaidan
- Institute of Life Science, Technology and Engineering, Universitas Airlangga, Surabaya, 60115, Indonesia
| | - Yuta Kanai
- Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, 565-0871, Japan
| | - Teguh Hari Sucipto
- Institute of Tropical Disease, Universitas Airlangga, Surabaya, 60115, Indonesia
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