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Fu Y, Zhang K, Shan F, Li J, Wang Y, Li X, Xu H, Qin Z, Zhang L. Metagenomic analysis of gut microbiome and resistome of Whooper and Black Swans: a one health perspective. BMC Genomics 2023; 24:635. [PMID: 37875797 PMCID: PMC10594901 DOI: 10.1186/s12864-023-09742-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 10/13/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND With the promotion of "One Health," the health of animals and their impact on the environment have become major concerns recently. Widely distributed in China, the whooper swans (Cygnus cygnus) and black swans (Cygnus atratus) are not only important to the ecological environment, but they may also potentially influence public health security. The metagenomic approach was adopted to uncover the impacts of the gut microbiota of swans on host and public health. RESULTS In this study, the intestinal microbiome and resistome of migratory whooper swans and captive-bred black swans were identified. The results revealed similar gut microbes and functional compositions in whooper and black swans. Interestingly, different bacteria and probiotics were enriched by overwintering whooper swans. We also found that Acinetobacter and Escherichia were significantly enriched in early wintering period swans and that clinically important pathogens were more abundant in black swans. Whooper swans and black swans are potential reservoirs of antibiotic resistance genes (ARGs) and novel ARGs, and the abundance of novel ARGs in whooper swans was significantly higher than that in black swans. Metagenomic assembly-based host tracking revealed that most ARG-carrying contigs originated from Proteobacteria (mainly Gammaproteobacteria). CONCLUSIONS The results revealed spatiotemporal changes in microbiome and resistome in swans, providing a reference for safeguarding public health security and preventing animal epidemics.
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Affiliation(s)
- Yin Fu
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Kaihui Zhang
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Fa Shan
- College of Veterinary Medicine, Northwest A&F University, Yangling, 712100, China
| | - Junqiang Li
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Yilin Wang
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Xiaoying Li
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Huiyan Xu
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Ziyang Qin
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China
| | - Longxian Zhang
- College of Veterinary Medicine, Henan Agricultural University, No. 15 Longzihu University Area, Zhengzhou New District, Zhengzhou, 450046, China.
- International Joint Research Laboratory for Zoonotic Diseases of Henan, Zhengzhou, 450046, China.
- Ministry of Agriculture and Rural Areas Key Laboratory for Quality and Safety Control of Poultry Products, Zhengzhou, 450046, China.
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Agyei SK. Emerging markets equities' response to geopolitical risk: Time-frequency evidence from the Russian-Ukrainian conflict era. Heliyon 2023; 9:e13319. [PMID: 36814626 DOI: 10.1016/j.heliyon.2023.e13319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 01/25/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
This study investigates the asymmetric interdependence between geopolitical risk (GPR) and the stock markets of the top-seven emerging (E7) countries (i.e., Mexico, Russia, Turkey, India, China, Indonesia, and Brazil) in the ongoing geopolitical conflict between Russia and Ukraine. With daily datasets covering the period 01-Feb-2022 to 25-July-2022, the squared wavelet coherence (SWC) and wavelet coherence phase difference (WCPD) techniques are employed. The results underscore heterogeneous and asymmetric market-specific coherence and lead-lag patterns regarding E7 stocks' interdependence with geopolitical risk. The findings imply high comovements between Black Swan events like the Russian-Ukrainian conflict and financial markets' volatility, highlighting the essence of alternative assets or asset classes for hedging geopolitical risks in the ongoing military actions. The heterogeneous and asymmetric responses offered by E7 stocks against GPR render emerging markets equities suitable for diversification and downside hedging strategies against GPR-induced shocks. The findings are robust to the time-varying parameter vector autoregression (TVP-VAR) connectedness approach. The results' implications for portfolio managers, investors, and policymakers are discussed.
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3
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Karawita AC, Cheng Y, Chew KY, Challagulla A, Kraus R, Mueller RC, Tong MZW, Hulme KD, Bielefeldt-Ohmann H, Steele LE, Wu M, Sng J, Noye E, Bruxner TJ, Au GG, Lowther S, Blommaert J, Suh A, McCauley AJ, Kaur P, Dudchenko O, Aiden E, Fedrigo O, Formenti G, Mountcastle J, Chow W, Martin FJ, Ogeh DN, Thiaud-Nissen F, Howe K, Tracey A, Smith J, Kuo RI, Renfree MB, Kimura T, Sakoda Y, McDougall M, Spencer HG, Pyne M, Tolf C, Waldenström J, Jarvis ED, Baker ML, Burt DW, Short KR. The swan genome and transcriptome, it is not all black and white. Genome Biol 2023; 24:13. [PMID: 36683094 PMCID: PMC9867998 DOI: 10.1186/s13059-022-02838-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 12/12/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The Australian black swan (Cygnus atratus) is an iconic species with contrasting plumage to that of the closely related northern hemisphere white swans. The relative geographic isolation of the black swan may have resulted in a limited immune repertoire and increased susceptibility to infectious diseases, notably infectious diseases from which Australia has been largely shielded. Unlike mallard ducks and the mute swan (Cygnus olor), the black swan is extremely sensitive to highly pathogenic avian influenza. Understanding this susceptibility has been impaired by the absence of any available swan genome and transcriptome information. RESULTS Here, we generate the first chromosome-length black and mute swan genomes annotated with transcriptome data, all using long-read based pipelines generated for vertebrate species. We use these genomes and transcriptomes to show that unlike other wild waterfowl, black swans lack an expanded immune gene repertoire, lack a key viral pattern-recognition receptor in endothelial cells and mount a poorly controlled inflammatory response to highly pathogenic avian influenza. We also implicate genetic differences in SLC45A2 gene in the iconic plumage of the black swan. CONCLUSION Together, these data suggest that the immune system of the black swan is such that should any avian viral infection become established in its native habitat, the black swan would be in a significant peril.
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Affiliation(s)
- Anjana C. Karawita
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia ,grid.413322.50000 0001 2188 8254Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC 3220 Australia
| | - Yuanyuan Cheng
- grid.1013.30000 0004 1936 834XSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006 Australia
| | - Keng Yih Chew
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Arjun Challagulla
- grid.413322.50000 0001 2188 8254Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC 3220 Australia
| | - Robert Kraus
- grid.507516.00000 0004 7661 536XDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, 78315 Germany ,grid.9811.10000 0001 0658 7699Department of Biology, University of Konstanz, Konstanz, 78457 Germany
| | - Ralf C. Mueller
- grid.507516.00000 0004 7661 536XDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, 78315 Germany ,grid.9811.10000 0001 0658 7699Department of Biology, University of Konstanz, Konstanz, 78457 Germany
| | - Marcus Z. W. Tong
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Katina D. Hulme
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Helle Bielefeldt-Ohmann
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Lauren E. Steele
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Melanie Wu
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Julian Sng
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Ellesandra Noye
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Timothy J. Bruxner
- grid.1003.20000 0000 9320 7537Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Gough G. Au
- grid.413322.50000 0001 2188 8254Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC 3220 Australia
| | - Suzanne Lowther
- grid.413322.50000 0001 2188 8254Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC 3220 Australia
| | - Julie Blommaert
- grid.8993.b0000 0004 1936 9457Department of Organismal Biology – Systematic Biology, Evolutionary Biology Centre, Uppsala University, Science for Life Laboratory, Uppsala, 752 36 Sweden ,The New Zealand Institute for Plant & Food Research Ltd, Nelson, 7010 New Zealand
| | - Alexander Suh
- grid.8993.b0000 0004 1936 9457Department of Organismal Biology – Systematic Biology, Evolutionary Biology Centre, Uppsala University, Science for Life Laboratory, Uppsala, 752 36 Sweden ,grid.8273.e0000 0001 1092 7967School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TU UK
| | - Alexander J. McCauley
- grid.413322.50000 0001 2188 8254Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC 3220 Australia
| | - Parwinder Kaur
- grid.1012.20000 0004 1936 7910School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009 Australia
| | - Olga Dudchenko
- grid.39382.330000 0001 2160 926XThe Centre for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030 USA ,grid.21940.3e0000 0004 1936 8278Centre for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX 77030 USA
| | - Erez Aiden
- grid.1012.20000 0004 1936 7910School of Agriculture and Environment, The University of Western Australia, Perth, WA 6009 Australia ,grid.39382.330000 0001 2160 926XThe Centre for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030 USA ,grid.21940.3e0000 0004 1936 8278Centre for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX 77030 USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA 02139 USA ,Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech, Pudong, 201210 China
| | - Olivier Fedrigo
- grid.134907.80000 0001 2166 1519The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065 USA
| | - Giulio Formenti
- grid.134907.80000 0001 2166 1519The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065 USA
| | - Jacquelyn Mountcastle
- grid.134907.80000 0001 2166 1519The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065 USA
| | - William Chow
- grid.10306.340000 0004 0606 5382Tree of Life, Welcome Sanger Institute, Cambridge, CB10 1SA UK
| | - Fergal J. Martin
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD UK
| | - Denye N. Ogeh
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD UK
| | - Françoise Thiaud-Nissen
- grid.94365.3d0000 0001 2297 5165National Centre for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD USA
| | - Kerstin Howe
- grid.10306.340000 0004 0606 5382Tree of Life, Welcome Sanger Institute, Cambridge, CB10 1SA UK
| | - Alan Tracey
- grid.10306.340000 0004 0606 5382Tree of Life, Welcome Sanger Institute, Cambridge, CB10 1SA UK
| | - Jacqueline Smith
- grid.4305.20000 0004 1936 7988The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG UK
| | - Richard I. Kuo
- grid.4305.20000 0004 1936 7988The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG UK
| | - Marilyn B. Renfree
- grid.1008.90000 0001 2179 088XSchool of Biosciences, The University of Melbourne, Melbourne, VIC 3052 Australia
| | - Takashi Kimura
- grid.39158.360000 0001 2173 7691Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818 Japan
| | - Yoshihiro Sakoda
- grid.39158.360000 0001 2173 7691Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido 060-0818 Japan
| | - Mathew McDougall
- New Zealand Fish & Game – Eastern Region, Rotorua, 3046 New Zealand
| | - Hamish G. Spencer
- grid.29980.3a0000 0004 1936 7830Department of Zoology, University of Otago, Dunedin, 9054 New Zealand
| | - Michael Pyne
- Currumbin Wildlife Sanctuary, Currumbin, QLD 4223 Australia
| | - Conny Tolf
- grid.8148.50000 0001 2174 3522Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, SE-391 82 Sweden
| | - Jonas Waldenström
- grid.8148.50000 0001 2174 3522Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, SE-391 82 Sweden
| | - Erich D. Jarvis
- grid.134907.80000 0001 2166 1519The Vertebrate Genome Laboratory, The Rockefeller University, NY, 10065 USA
| | - Michelle L. Baker
- grid.413322.50000 0001 2188 8254Commonwealth Scientific and Industrial Research Organisation, Australian Centre for Disease Preparedness, 5 Portarlington Road, Geelong, VIC 3220 Australia
| | - David W. Burt
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
| | - Kirsty R. Short
- grid.1003.20000 0000 9320 7537School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072 Australia
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Rakes TR, Deane JK, Rees LP, Goldberg DM. Disaster Risk Planning With Fuzzy Goal Programming. Risk Anal 2022; 42:2026-2040. [PMID: 34741319 DOI: 10.1111/risa.13849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 08/08/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
The uncertainty in the timing and severity of disaster events makes the long-term planning of mitigation and recovery actions both critical and extremely difficult. Planners often use expected values for hazard occurrences, leaving communities vulnerable to worse-than-usual and even so-called "black swan" events. This research models disasters in terms of their best-case, most-likely, and worst-case damage estimates. These values are then embedded in a fuzzy goal programming model to provide community planners and stakeholders with the ability to strategize for any range of events from best-case to worst-case by adjusting goal weights. Examples are given illustrating the modeling approach, and an analysis is provided to illustrate how planners might use the model as a planning tool.
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Affiliation(s)
- Terry R Rakes
- Department of Business Information Technology, Virginia Tech, Blacksburg, VA, USA
| | - Jason K Deane
- Department of Business Information Technology, Virginia Tech, Blacksburg, VA, USA
| | - Loren P Rees
- Department of Business Information Technology, Virginia Tech, Blacksburg, VA, USA
| | - David M Goldberg
- Department of Management Information Systems, San Diego State University, San Diego, CA, USA
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Croft J, Grisham JR, Perfors A, Hayes BK. Risking Everything in Obsessive-Compulsive Disorder: An Analogue Decision-Making Study. J Psychopathol Behav Assess 2021; 44:364-375. [PMID: 34840417 PMCID: PMC8606630 DOI: 10.1007/s10862-021-09901-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/07/2021] [Indexed: 11/30/2022]
Abstract
An experiment examined decision-making processes among nonclinical participants with low or high levels of OCD symptomatology (N = 303). To better simulate the decision environments that are most likely to be problematic for clients with OCD, we employed decision tasks that incorporated "black swan" options that have a very low probability but involve substantial loss. When faced with a choice between a safer option that involved no risk of loss or a riskier alternative with a very low probability of substantial loss, most participants chose the safer option regardless of OCD symptom level. However, when faced with choices between options that had similar expected values to the previous choices, but where each option had some low risk of a substantial loss, there was a significant shift towards riskier decisions. These effects were stronger when the task involved a contamination based, health-relevant decision task as compared to one with financial outcomes. The results suggest that both low and high symptom OC participants approach decisions involving risk-free options and decisions involving risky alternatives in qualitatively different ways. There was some evidence that measures of impulsivity were better predictors of the shift to risky decision making than OCD symptomatology.
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Affiliation(s)
- James Croft
- School of Psychology, University of New South Wales, Mathews Building, Kensington, Sydney, NSW 2052 Australia
| | - Jessica R. Grisham
- School of Psychology, University of New South Wales, Mathews Building, Kensington, Sydney, NSW 2052 Australia
| | - Andrew Perfors
- School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Brett K. Hayes
- School of Psychology, University of New South Wales, Mathews Building, Kensington, Sydney, NSW 2052 Australia
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Feng S, Chang H, Wang Y, Luo F, Wu Q, Han S, He H. Lethal infection caused by Tetratrichomonas gallinarum in black swans (Cygnus atratus). BMC Vet Res 2021; 17:191. [PMID: 33985499 PMCID: PMC8117575 DOI: 10.1186/s12917-021-02894-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/29/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Tetratrichomonas gallinarum is parasitic protozoa with a wide host range. However, its lethal infection is rare reported. CASE PRESENTATION Here, we described the first lethal cases of T. gallinarum infection in black swans in China. Five black swans died within a week in succession without obvious symptoms except mild diarrhea. At necropsy, severe lesions were observed in caeca with thickened caecal walls and hemorrhages in the mucosa. A large number of moving trophozoites were found in the contents of the cecum by microscopic examination. The livers were enlarged with multiple bleeding spots on the surface. Histopathology of the livers showed mononuclear cell infiltration and moderate hyperplasia of fibrous tissue. The histopathology of the cecum showed that the villi of the cecum were edematous. Finally, the presence of T. gallinarum was determined by specific PCR andin-situ hybridization assay. Additionally, common pathogens that can cause similar symptoms were excluded. CONCLUSIONS The death of the black swan was caused by T. gallinarum, suggesting that the parasite might be a new threat to the Cygnus birds.
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Affiliation(s)
- Shengyong Feng
- National Research Center for Wildlife Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichenxilu, Chaoyang District, Beijing, 100101, PR China.,College of Life Sciences, University of Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
| | - Han Chang
- National Research Center for Wildlife Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichenxilu, Chaoyang District, Beijing, 100101, PR China.,College of Life Sciences, University of Chinese Academy of Sciences, Chaoyang District, Beijing, 100101, China
| | - Yutian Wang
- Beijing General Station of Animal Husbandry, Chaoyang District, Beijing, 100107, China
| | - Fubing Luo
- Beijing Center for Animal Disease Control, Beijing, China
| | - Qiaoxing Wu
- Shaanxi Institute of zoology, Xi'an, 710032, Shaanxi, China
| | - Shuyi Han
- National Research Center for Wildlife Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichenxilu, Chaoyang District, Beijing, 100101, PR China
| | - Hongxuan He
- National Research Center for Wildlife Borne Diseases, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichenxilu, Chaoyang District, Beijing, 100101, PR China.
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Manning L, Birchmore I, Morris W. Swans and elephants: A typology to capture the challenges of food supply chain risk assessment. Trends Food Sci Technol 2020; 106:288-297. [PMID: 33071459 PMCID: PMC7554487 DOI: 10.1016/j.tifs.2020.10.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/27/2020] [Accepted: 10/03/2020] [Indexed: 11/29/2022]
Abstract
As a result of internal or external shocks, food supply chains can transition between existing regimes of assembly and planned activity to situations that are unexpected or unknown. These events can occur without warning, causing stress, shift, even collapse, and impact on business/supply chain viability. Black elephants and black swans are of concern in food supply chains. Black swans can evolve to grey and white swans with appropriate risk mitigation. If supply chain controls become lax, white swans can revert to grey swans.
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Affiliation(s)
- Louise Manning
- Royal Agricultural University, Stroud Road Cirencester, Gloucestershire, GL7 6JS, UK
| | - Ian Birchmore
- Aberystwyth University, Hugh Owen Building, Penglais Campus, Aberystwyth, Ceredigion, SY23 3DY, UK
| | - Wyn Morris
- Aberystwyth University, Hugh Owen Building, Penglais Campus, Aberystwyth, Ceredigion, SY23 3DY, UK
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Abstract
Since Nassim Taleb coined black swan as an event that occurred as a complete surprise for everybody, the metaphor of the black swan has been applied to a much wider variety of events. Black swan events now comprise events that are a surprise for some but not for others, events that have a low likelihood, events that were not believed to be possible but still proved to be possible, events that were dismissed as being too improbable to worry about but happened anyway. For a decision maker the black swan problem is choosing where to put effort to prevent, or mitigate events for which there are warnings, or for which the possibility has been put forward. Does the fact that there are thousands of books written about fire breathing dragons warrant the development of an Anti-Dragon Defense Shield? The black swan may have been a surprise for Willem de Vlamingh in 1697, it was not a surprise for the inhabitants of Australia, for which the appearance of tall white humans was their "black swan event". In this paper we explore the options available to decision makers when confronted with the various sorts of swan (or dragon) events.
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Affiliation(s)
- Ben J M Ale
- Technical University Delft, PO Box 5015, 2600, GA, Delft, Netherlands.
| | | | - David H Slater
- Cardiff University, School of Engineering, Queen's Buildings, 14-17, The Parade, Cardiff, CF24 3AA, UK
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Wang L, Dong Y, Wang S, Li L, Kong X, Lv A. First sporadic case of pathogenic Escherichia coli infection in Black swan in China. Microb Pathog 2016; 98:32-6. [PMID: 27354206 DOI: 10.1016/j.micpath.2016.06.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2016] [Revised: 06/17/2016] [Accepted: 06/24/2016] [Indexed: 10/21/2022]
Abstract
A strain of bacteria was isolated from the diseased black swan (Cygnus atratus) died from enteritis diarrhea, and designated tentatively as B-1 strain. Morphological and biochemical tests, as well as phylogenetic analysis derived from 16S rRNA and fimC gene sequencing both strongly indicated that B-1 strain is identical to Escherichia coli. Furthermore, the polymerase chain reaction single-strand conformation polymorphism (PCR-SSCP) profile of the isolate was different from that of two reference strains. Antibiotic sensitivity testing of B-1 strain was carried out by the standard Kirby-Bauer disc diffusion method. Animal experiments demonstrated that B-1 strain is pathogenic to mice and chickens. This is first sporadic case of pathogenic E. coli infection in Black swan in China.
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Affiliation(s)
- Lirong Wang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Yongjun Dong
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Sanhu Wang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Li Li
- College of Fisheries, Henan Normal University, Xinxiang, 453007, China
| | - Xianghui Kong
- College of Fisheries, Henan Normal University, Xinxiang, 453007, China
| | - Aijun Lv
- College of Fisheries, Henan Normal University, Xinxiang, 453007, China; Tianjin Key Lab. of Aqua-Ecology & Aquaculture, College of Fisheries, Tianjin Agricultural University, Tianjin, 300384, China.
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Sánchez FD, Yela IJ, Alfonseca E, Campuzano J, Morales E, Aguilar C. Respiratory tract infection caused by Mycobacterium bovis in a black swan (Cygnus atratus). Avian Pathol 2016; 45:126-31. [PMID: 26743683 DOI: 10.1080/03079457.2015.1134765] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
A 3-year-old male black swan (Cygnus atratus), belonging to a private collection, died suddenly and was subjected to post mortem examination. At necropsy, caseous exudate was observed in the lungs and air sacs; granulomatous lesions characterized by epithelioid macrophages and abundant mycobacteria were observed microscopically. Avian tuberculosis associated with Mycobacterium bovis was confirmed by bacteriologic isolation, biochemical tests and molecular methods. The organism was identified as spoligotype SB0140, which is frequently found in cattle and people in North America. In this case, interspecies transmission could have been the source of infection because the swan cohabited with cattle.
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Affiliation(s)
- F D Sánchez
- a Departamento de Medicina y Zootecnia de Aves , Universidad Nacional Autónoma de México , México DF , Mexico
| | - I J Yela
- b Departamento de Microbiología e Inmunología , Universidad Nacional Autónoma de México , México DF , Mexico
| | - E Alfonseca
- b Departamento de Microbiología e Inmunología , Universidad Nacional Autónoma de México , México DF , Mexico
| | - J Campuzano
- c Departamento de Patología, Facultad de Medicina Veterinaria y Zootecnia , Universidad Nacional Autónoma de México , México DF , Mexico
| | - E Morales
- c Departamento de Patología, Facultad de Medicina Veterinaria y Zootecnia , Universidad Nacional Autónoma de México , México DF , Mexico
| | - C Aguilar
- d Práctica en clínica privada , México DF , Mexico
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