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Mach N. The forecasting power of the mucin-microbiome interplay in livestock respiratory diseases. Vet Q 2024; 44:1-18. [PMID: 38606662 PMCID: PMC11018052 DOI: 10.1080/01652176.2024.2340003] [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: 05/23/2023] [Accepted: 03/31/2024] [Indexed: 04/13/2024] Open
Abstract
Complex respiratory diseases are a significant challenge for the livestock industry worldwide. These diseases considerably impact animal health and welfare and cause severe economic losses. One of the first lines of pathogen defense combines the respiratory tract mucus, a highly viscous material primarily composed of mucins, and a thriving multi-kingdom microbial ecosystem. The microbiome-mucin interplay protects from unwanted substances and organisms, but its dysfunction may enable pathogenic infections and the onset of respiratory disease. Emerging evidence also shows that noncoding regulatory RNAs might modulate the structure and function of the microbiome-mucin relationship. This opinion paper unearths the current understanding of the triangular relationship between mucins, the microbiome, and noncoding RNAs in the context of respiratory infections in animals of veterinary interest. There is a need to look at these molecular underpinnings that dictate distinct health and disease outcomes to implement effective prevention, surveillance, and timely intervention strategies tailored to the different epidemiological contexts.
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Affiliation(s)
- Núria Mach
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
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2
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Bui DT, Lee YS, Kuo TF, Chen ZW, Yang WC. Novel Experimental Mouse Model to Study the Pathogenesis and Therapy of Actinobacillus pleuropneumoniae Infection. Pathogens 2024; 13:412. [PMID: 38787263 PMCID: PMC11123673 DOI: 10.3390/pathogens13050412] [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: 04/18/2024] [Revised: 05/12/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
Actinobacillus pleuropneumoniae (APP) is a major cause of lung infections in pigs. An experimental mouse has the edge over pigs pertaining to the ease of experimental operation, disease study and therapy, abundance of genetic resources, and cost. However, it is a challenge to introduce APP into a mouse lung due to the small respiratory tract of mice and bacterial host tropism. In this study, an effective airborne transmission of APP serovar 1 (APP1) was developed in mice for lung infection. Consequently, APP1 infected BALB/c mice and caused 60% death within three days of infection at the indicated condition. APP1 seemed to enter the lung and, in turn, spread to other organs of the mice over the first 5 days after infection. Accordingly, APP1 damaged the lung as evidenced by its morphological and histological examinations. Furthermore, ampicillin fully protected mice against APP1 as shown by their survival, clinical symptoms, body weight loss, APP1 count, and lung damages. Finally, the virulence of two extra APP strains, APP2 and APP5, in the model was compared based on the survival rate of mice. Collectively, this study successfully established a fast and reliable mouse model of APP which can benefit APP research and therapy. Such a model is a potentially useful model for airway bacterial infections.
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Affiliation(s)
- Duc-Thang Bui
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei City 115, Taiwan; (D.-T.B.); (Y.-S.L.); (T.-F.K.)
- Institute of Biotechnology, National Taiwan University, Taipei City 106, Taiwan
| | - Yi-San Lee
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei City 115, Taiwan; (D.-T.B.); (Y.-S.L.); (T.-F.K.)
- Institute of Biotechnology, National Taiwan University, Taipei City 106, Taiwan
| | - Tien-Fen Kuo
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei City 115, Taiwan; (D.-T.B.); (Y.-S.L.); (T.-F.K.)
| | - Zeng-Weng Chen
- Animal Technology Research Center, Agricultural Technology Research Institute, Miaoli County 350, Taiwan;
| | - Wen-Chin Yang
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei City 115, Taiwan; (D.-T.B.); (Y.-S.L.); (T.-F.K.)
- Institute of Biotechnology, National Taiwan University, Taipei City 106, Taiwan
- Department of Life Sciences, National Taiwan Ocean University, Keelung City 202, Taiwan
- Graduate Institute of Integrated Medicine, China Medical University, Taichung City 404, Taiwan
- Department of Life Sciences, National Chung-Hsing University, Taichung City 404, Taiwan
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3
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Burgos M, Pérez-Ramos A, Mulot B, Sanz-Prieto D, Esteban F, Bastir M. Advancements in veterinary medicine: the use of Flowgy for nasal airflow simulation and surgical predictions in big felids (a case study in lions). Front Vet Sci 2024; 10:1181036. [PMID: 38327815 PMCID: PMC10847520 DOI: 10.3389/fvets.2023.1181036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 12/26/2023] [Indexed: 02/09/2024] Open
Abstract
Flowgy is a semi-automated tool designed to simulate airflow across the nasal passage and detect airflow alterations in humans. In this study, we tested the use and accuracy of Flowgy in non-human vertebrates, using large felids as the study group. Understanding the dynamics of nasal airflow in large felids such as lions (Panthera leo) is crucial for their health and conservation. Therefore, we simulated airflow during inspiration through the nasal passage in three lions (Panthera leo), two of which were siblings (specimens ZPB_PL_002 and ZPB_PL_003), without breathing obstructions. However, one of the specimens (ZPB_PL_001) exhibited a slight obstruction in the nasal vestibule, which precluded the specimen from breathing efficiently. Computed tomography (CT) scans of each specimen were obtained to create detailed three-dimensional models of the nasal passage. These models were then imported into Flowgy to simulate the airflow dynamics. Virtual surgery was performed on ZPB_PL_001 to remove the obstruction and re-simulate the airflow. In parallel, we simulated the respiration of the two sibling specimens and performed an obstructive operation followed by an operation to remove the obstruction at the same level and under the same conditions as the original specimen (ZPB_PL_001). Thus, we obtained a pattern of precision for the operation by having two comparable replicas with the obstructed and operated specimens. The simulations revealed consistent airflow patterns in the healthy specimens, demonstrating the accuracy of Flowgy. The originally obstructed specimen and two artificially obstructed specimens showed a significant reduction in airflow through the right nostril, which was restored after virtual surgery. Postoperative simulation indicated an improvement of >100% in respiratory function. Additionally, the temperature and humidity profiles within the nostrils showed marked improvements after surgery. These findings underscore the potential of Flowgy in simulating nasal airflow and predicting the outcomes of surgical interventions in large felids. This could aid in the early detection of respiratory diseases and inform clinical decision-making, contributing to improved veterinary care and conservation efforts. However, further research is needed to validate these findings in other species and explore the potential of integrating Flowgy with other diagnostic and treatment tools in veterinary medicine.
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Affiliation(s)
- Manuel Burgos
- Dpto. de Ingeniería Térmica y de Fluidos, Universidad Politécnica de Cartagena, Murcia, Spain
| | - Alejandro Pérez-Ramos
- Dpto. de Ecología y Geología, Facultad de Ciencias, Universidad de Málaga, Málaga, Spain
| | - Baptiste Mulot
- ZooParc de Beauval and Beauval Nature, Saint-Aignan, France
| | - Daniel Sanz-Prieto
- Department of Paleobiology, Museo Nacional de Ciencias Naturales, Madrid, Spain
| | - Francisco Esteban
- Servicio Andaluz de Salud, Hospital Universitario Virgen del Rocío, Servicio de Otorrinolaringología, Sevilla, Spain
| | - Markus Bastir
- Department of Paleobiology, Museo Nacional de Ciencias Naturales, Madrid, Spain
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Wang H, Wang Y. What Makes the Gut-Lung Axis Working? From the Perspective of Microbiota and Traditional Chinese Medicine. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2024; 2024:8640014. [PMID: 38274122 PMCID: PMC10810697 DOI: 10.1155/2024/8640014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 12/21/2023] [Accepted: 01/08/2024] [Indexed: 01/27/2024]
Abstract
Background An increasing number of studies have proved that gut microbiota is involved in the occurrence and development of various lung diseases and can interact with the diseased lung. The concept of the gut-lung axis (GLA) provides a new idea for the subsequent clinical treatment of lung diseases through human microbiota. This review aims to summarize the microbiota in the lung and gut and the interaction between them from the perspectives of traditional Chinese medicine and modern medicine. Method We conducted a literature search by using the search terms "GLA," "gut microbiota," "spleen," and "Chinese medicine" in the databases PubMed, Web of Science, and CNKI. We then explored the mechanism of action of the gut-lung axis from traditional Chinese medicine and modern medicine. Results The lung and gut microbiota enable the GLA to function through immune regulation, while metabolites of the gut microbiota also play an important role. The spleen can improve the gut microbiota to achieve the regulation of the GLA. Conclusion Improving the gut microbiota through qi supplementation and spleen fortification provides a new approach to the clinical treatment of lung diseases by regulating the GLA. Currently, our understanding of the GLA is limited, and more research is needed to explain its working principle.
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Affiliation(s)
- Hui Wang
- Zhejiang Chinese Medical University, Hangzhou 310000, China
| | - Ying Wang
- Zhejiang Chinese Medical University, Hangzhou 310000, China
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5
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Martineau M, Kokabi E, Taiebi A, Lefebvre S, Pradier S, Jaÿ M, Tardy F, Leon A. Epidemiology and pathogenicity of M. equirhinis in equine respiratory disorders. Vet Microbiol 2023; 287:109926. [PMID: 38006720 DOI: 10.1016/j.vetmic.2023.109926] [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: 07/26/2023] [Revised: 10/16/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
Mycoplasmas are pathogens involved in respiratory disorders of various animal hosts. In horses, Mycoplasma (M.) equirhinis is the species most frequently detected in clinical respiratory specimens, with a prevalence of 12-16%, but its clinical implication in equine respiratory disorders remains unclear. Here we screened 1948 clinical specimens for the presence of M. equirhinis. The samples were both tracheal washes (TW) and bronchoalveolar lavages (BAL) collected by veterinarians in France in day-to-day work between 2020 and 2022. The samples were associated with a standardized form that served to collect key general and clinical information, such as horse age, breed, and living environment. M. equirhinis was detected using a combination of culture and post-enrichment PCR. Other diagnostic data included virology and bacteriology as well as neutrophil counts, when available. Prevalence of M. equirhinis was examined as a function of a clinical score based on four significant clinical signs (nasal discharge, cough, dyspnoea, and hyperthermia). Multivariate logistic regression analysis was run to identify risk factors for the presence of M. equirhinis, and comparative prevalence analysis was used to test for association with other bacteria and viruses. TW and BAL were analysed independently, as we found that TW samples were associated with a higher prevalence of M. equirhinis. As prevalence remained steady whatever the clinical score, M. equirhinis cannot be considered a primary pathogen. M. equirhinis was more frequently isolated in thoroughbreds and trotters and in horses living exclusively stabled compared to other horses or other living environments. M. equirhinis was never detected in BAL specimens with a 'normal' neutrophil count, i.e. 5%, suggesting it could be associated with an inflammatory response, similar to that observed in equine asthma. Prevalence of M. equirhinis was shown to increase in the presence of other bacteria such as Streptococcus equi subsp. zooepidemicus (S. zoo) or viruses, and S. zoo load was higher in M. equirhinis-positive samples, suggesting a potential increase of clinical signs in the event of co-infection.
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Affiliation(s)
- Matthieu Martineau
- LABÉO, Research Department, Saint-Contest, 14000 Caen, France; Univ of Caen Normandie, Univ Rouen Normandie, INSERM, DYNAMICURE UMR 1311, F-14000 Caen, France; University of Lyon, Anses, VetAgro Sup, UMR Animal mycoplasmosis, 69007 Lyon, France
| | - Elena Kokabi
- LABÉO, Research Department, Saint-Contest, 14000 Caen, France; Univ of Caen Normandie, Univ Rouen Normandie, INSERM, DYNAMICURE UMR 1311, F-14000 Caen, France
| | - Anis Taiebi
- LABÉO, Research Department, Saint-Contest, 14000 Caen, France; Univ of Caen Normandie, Univ Rouen Normandie, INSERM, DYNAMICURE UMR 1311, F-14000 Caen, France
| | - Stéphanie Lefebvre
- University of Lyon, Anses, VetAgro Sup, UMR Animal mycoplasmosis, 69007 Lyon, France
| | | | - Maryne Jaÿ
- University of Lyon, Anses, VetAgro Sup, UMR Animal mycoplasmosis, 69007 Lyon, France
| | - Florence Tardy
- University of Lyon, Anses, VetAgro Sup, UMR Animal mycoplasmosis, 69007 Lyon, France.
| | - Albertine Leon
- LABÉO, Research Department, Saint-Contest, 14000 Caen, France; Univ of Caen Normandie, Univ Rouen Normandie, INSERM, DYNAMICURE UMR 1311, F-14000 Caen, France.
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Zeineldin M, Barakat R. Host-specific signatures of the respiratory microbiota in domestic animals. Res Vet Sci 2023; 164:105037. [PMID: 37801741 DOI: 10.1016/j.rvsc.2023.105037] [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: 06/26/2023] [Revised: 09/14/2023] [Accepted: 09/23/2023] [Indexed: 10/08/2023]
Abstract
While the importance of respiratory microbiota in maintaining respiratory health is increasingly recognized, we still lack a comprehensive understanding of the unique characteristics of respiratory microbiota specific to individual hosts. This study aimed to address this gap by analyzing publicly available 16S rRNA gene datasets from various domestic animals (cats, dogs, pigs, donkeys, chickens, sheep, and cattle) to identify host-specific signatures of respiratory microbiota. The findings revealed that cattle and pigs exhibited the highest Shannon diversity index and observed features, indicating a greater microbial variety compared to other animals. Discriminant analysis demonstrated distinct composition of respiratory microbiota across different animals, with no overlapping abundant taxa. The linear discriminant analysis effect size highlighted prevalent host-specific microbiota signatures in different animal species. Moreover, the composition and diversity of respiratory microbiota were significantly influenced by various factors such as individual study, health status, and sampling sites within the respiratory tract. While associations between host and respiratory microbiota have been uncovered, the relative contributions of host and environment in the selection of respiratory microbiota and their impact on host fitness remain unclear. Further investigations involving diverse hosts are necessary to fully comprehend the significance of host-microbial coevolution in maintaining respiratory health.
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Affiliation(s)
- Mohamed Zeineldin
- Department of Animal Medicine, College of Veterinary Medicine, Benha University, Benha 13511, Egypt.
| | - Radwa Barakat
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa, USA.
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Blanco-Fuertes M, Sibila M, Franzo G, Obregon-Gutierrez P, Illas F, Correa-Fiz F, Aragón V. Ceftiofur treatment of sows results in long-term alterations in the nasal microbiota of the offspring that can be ameliorated by inoculation of nasal colonizers. Anim Microbiome 2023; 5:53. [PMID: 37864263 PMCID: PMC10588210 DOI: 10.1186/s42523-023-00275-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 10/10/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND The nasal microbiota of the piglet is a reservoir for opportunistic pathogens that can cause polyserositis, such as Glaesserella parasuis, Mycoplasma hyorhinis or Streptococcus suis. Antibiotic treatment is a strategy to control these diseases, but it has a detrimental effect on the microbiota. We followed the piglets of 60 sows from birth to 8 weeks of age, to study the effect of ceftiofur on the nasal microbiota and the colonization by pathogens when the treatment was administered to sows or their litters. We also aimed to revert the effect of the antibiotic on the nasal microbiota by the inoculation at birth of nasal colonizers selected from healthy piglets. Nasal swabs were collected at birth, and at 7, 15, 21 and 49 days of age, and were used for pathogen detection by PCR and bacterial culture, 16S rRNA amplicon sequencing and whole shotgun metagenomics. Weights, clinical signs and production parameters were also recorded during the study. RESULTS The composition of the nasal microbiota of piglets changed over time, with a clear increment of Clostridiales at the end of nursery. The administration of ceftiofur induced an unexpected temporary increase in alpha diversity at day 7 mainly due to colonization by environmental taxa. Ceftiofur had a longer impact on the nasal microbiota of piglets when administered to their sows before farrowing than directly to them. This effect was partially reverted by the inoculation of nasal colonizers to newborn piglets and was accompanied by a reduction in the number of animals showing clinical signs (mainly lameness). Both interventions altered the colonization pattern of different strains of the above pathogens. In addition, the prevalence of resistance genes increased over time in all the groups but was significantly higher at weaning when the antibiotic was administered to the sows. Also, ceftiofur treatment induced the selection of more beta-lactams resistance genes when it was administered directly to the piglets. CONCLUSIONS This study shed light on the effect of the ceftiofur treatment on the piglet nasal microbiota over time and demonstrated for the first time the possibility of modifying the piglets' nasal microbiota by inoculating natural colonizers of the upper respiratory tract.
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Affiliation(s)
- Miguel Blanco-Fuertes
- Centre de Recerca en Sanitat Animal (CReSA), Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain
- WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Barcelona, Spain
- Ciber in Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Marina Sibila
- Centre de Recerca en Sanitat Animal (CReSA), Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain
- WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Barcelona, Spain
| | - Giovanni Franzo
- Department of Animal Medicine, Production and Health (MAPS), University of Padua, 35020, Legnaro, PD, Italy
| | - Pau Obregon-Gutierrez
- Centre de Recerca en Sanitat Animal (CReSA), Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain
- WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Barcelona, Spain
| | - Francesc Illas
- Selección Batallé, Avinguda dels Segadors, 17421, Riudarenes, Spain
| | - Florencia Correa-Fiz
- Centre de Recerca en Sanitat Animal (CReSA), Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain.
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain.
- WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Barcelona, Spain.
| | - Virginia Aragón
- Centre de Recerca en Sanitat Animal (CReSA), Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain.
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Barcelona, Spain.
- WOAH Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), 08193, Bellaterra, Barcelona, Spain.
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The Activation of the RIG-I/MDA5 Signaling Pathway upon Influenza D Virus Infection Impairs the Pulmonary Proinflammatory Response Triggered by Mycoplasma bovis Superinfection. J Virol 2023; 97:e0142322. [PMID: 36692289 PMCID: PMC9972951 DOI: 10.1128/jvi.01423-22] [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] [Indexed: 01/25/2023] Open
Abstract
Concurrent infections with multiple pathogens are often described in cattle with respiratory illness. However, how the host-pathogen interactions influence the clinical outcome has been only partially explored in this species. Influenza D virus (IDV) was discovered in 2011. Since then, IDV has been detected worldwide in different hosts. A significant association between IDV and bacterial pathogens in sick cattle was shown in epidemiological studies, especially with Mycoplasma bovis. In an experimental challenge, IDV aggravated M. bovis-induced pneumonia. However, the mechanisms through which IDV drives an increased susceptibility to bacterial superinfections remain unknown. Here, we used the organotypic lung model precision-cut lung slices to study the interplay between IDV and M. bovis coinfection. Our results show that a primary IDV infection promotes M. bovis superinfection by increasing the bacterial replication and the ultrastructural damages in lung pneumocytes. In our model, IDV impaired the innate immune response triggered by M. bovis by decreasing the expression of several proinflammatory cytokines and chemokines that are important for immune cell recruitment and the bacterial clearance. Stimulations with agonists of cytosolic helicases and Toll-like receptors (TLRs) revealed that a primary activation of RIG-I/MDA5 desensitizes the TLR2 activation, similar to what was observed with IDV infection. The cross talk between these two pattern recognition receptors leads to a nonadditive response, which alters the TLR2-mediated cascade that controls the bacterial infection. These results highlight innate immune mechanisms that were not described for cattle so far and improve our understanding of the bovine host-microbe interactions and IDV pathogenesis. IMPORTANCE Since the spread of the respiratory influenza D virus (IDV) infection to the cattle population, the question about the impact of this virus on bovine respiratory disease (BRD) remains still unanswered. Animals affected by BRD are often coinfected with multiple pathogens, especially viruses and bacteria. In particular, viruses are suspected to enhance secondary bacterial superinfections. Here, we use an ex vivo model of lung tissue to study the effects of IDV infection on bacterial superinfections. Our results show that IDV increases the susceptibility to the respiratory pathogen Mycoplasma bovis. In particular, IDV seems to activate immune pathways that inhibit the innate immune response against the bacteria. This may allow M. bovis to increase its proliferation and to delay its clearance from lung tissue. These results suggest that IDV could have a negative impact on the respiratory pathology of cattle.
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Bacterial topography of the upper and lower respiratory tract in pigs. Anim Microbiome 2023; 5:5. [PMID: 36647171 PMCID: PMC9843957 DOI: 10.1186/s42523-023-00226-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 11/24/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Understanding the complex structures and interactions of the bacterial communities inhabiting the upper (URT) and lower (LRT) respiratory tract of pigs is at an early stage. The objective of this study was to characterize the bacterial topography of three URT (nostrils, choana, and tonsils) and LRT (proximal trachea, left caudal lobe and secondary bronchi) sites in pigs. Thirty-six post-mortem samples from six pigs were analysed by 16S rRNA gene quantification and sequencing, and the microbiota in nostrils and trachea was additionally profiled by shotgun sequencing. RESULTS The bacterial composition obtained by the two methods was congruent, although metagenomics recovered only a fraction of the diversity (32 metagenome-assembled genomes) due to the high proportion (85-98%) of host DNA. The highest abundance of 16S rRNA copies was observed in nostrils, followed by tonsils, trachea, bronchi, choana and lung. Bacterial richness and diversity were lower in the LRT compared to the URT. Overall, Firmicutes and Proteobacteria were identified as predominant taxa in all sample types. Glasserella (15.7%), Streptococcus (14.6%) and Clostridium (10.1%) were the most abundant genera but differences in microbiota composition were observed between the two tracts as well as between sampling sites within the same tract. Clear-cut differences were observed between nasal and tonsillar microbiomes (R-values 0.85-0.93), whereas bacterial communities inhabiting trachea and lung were similar (R-values 0.10-0.17). Moraxella and Streptococcus were more common in bronchial mucosal scraping than in lavage, probably because of mucosal adherence. The bacterial microbiota of the choana was less diverse than that of the nostrils and similar to the tracheal microbiota (R-value 0.24), suggesting that the posterior nasal cavity serves as the primary source of bacteria for the LRT. CONCLUSION We provide new knowledge on microbiota composition and species abundance in distinct ecological niches of the pig respiratory tract. Our results shed light on the distribution of opportunistic bacterial pathogens across the respiratory tract and support the hypothesis that bacteria present in the lungs originate from the posterior nasal cavity. Due to the high abundance of host DNA, high-resolution profiling of the pig respiratory microbiota by shotgun sequencing requires methods for host DNA depletion.
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10
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Saint-Martin V, Quéré P, Trapp S, Guabiraba R. Uncovering the core principles of the gut-lung axis to enhance innate immunity in the chicken. Front Immunol 2022; 13:956670. [PMID: 36268022 PMCID: PMC9577073 DOI: 10.3389/fimmu.2022.956670] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Research in mammals has evidenced that proper colonization of the gut by a complex commensal microbial community, the gut microbiota (GM), is critical for animal health and wellbeing. It greatly contributes to the control of infectious processes through competition in the microbial environment while supporting proper immune system development and modulating defence mechanisms at distant organ sites such as the lung: a concept named ‘gut-lung axis’. While recent studies point to a role of the GM in boosting immunity and pathogen resilience also in poultry, the mechanisms underlying this role are largely unknown. In spite of this knowledge gap, GM modulation approaches are today considered as one of the most promising strategies to improve animal health and welfare in commercial poultry production, while coping with the societal demand for responsible, sustainable and profitable farming systems. The majority of pathogens causing economically important infectious diseases in poultry are targeting the respiratory and/or gastrointestinal tract. Therefore, a better understanding of the role of the GM in the development and function of the mucosal immune system is crucial for implementing measures to promote animal robustness in commercial poultry production. The importance of early gut colonization in the chicken has been overlooked or neglected in industrial poultry production systems, where chicks are hampered from acquiring a complex GM from the hen. Here we discuss the concept of strengthening mucosal immunity in the chicken through GM modulation approaches favouring immune system development and functioning along the gut-lung axis, which could be put into practice through improved farming systems, early-life GM transfer, feeding strategies and pre-/probiotics. We also provide original data from experiments with germ-free and conventional chickens demonstrating that the gut-lung axis appears to be functional in chickens. These key principles of mucosal immunity are likely to be relevant for a variety of avian diseases and are thus of far-reaching importance for the poultry sector worldwide.
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Thorel M, Mateos-Hernandez L, Mulot B, Azzouni MN, Hodžić A, Gaillot H, Ruel Y, Desoubeaux G, Delaye JB, Obregon D, Wu-Chuang A, de la Fuente J, Bermúdez-Humarán LG, Risco-Castillo V, Leclerc A, Cabezas-Cruz A. Assessment of the Safety and Efficacy of an Oral Probiotic-Based Vaccine Against Aspergillus Infection in Captive-Bred Humboldt Penguins ( Spheniscus humboldti). Front Immunol 2022; 13:897223. [PMID: 35634323 PMCID: PMC9137413 DOI: 10.3389/fimmu.2022.897223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/05/2022] [Indexed: 11/13/2022] Open
Abstract
Aspergillosis is a fungal infection caused mainly by Aspergillus fumigatus that often results in respiratory disease in birds. Aspergillosis is a major cause of morbidity and mortality in captive-bred penguin species. Currently, there is no registered vaccine to prevent aspergillosis. Recent research demonstrated that oral administration of gram-negative bacteria expressing high levels of galactose-α-1,3-galactose (α-Gal) modulates anti-α-Gal immunity and protects turkeys from clinical aspergillosis caused by experimental A. fumigatus infection. The role of anti-α-Gal immunity in penguins has not been studied. Here, we tested the distribution of α-1,3-galactosyltransferase (α1,3GT) genes in the fecal microbiome of Humboldt penguins (Spheniscus humboldti). The occurrence of natural anti-α-Gal antibodies (Abs) in sera and eggs of healthy Humboldt penguins was also assessed. A trial was then conducted to test whether oral administration of Escherichia coli Nissle, expressing high α-Gal levels, modulates anti-α-Gal immunity in a colony of Humboldt penguins. Animals in the vaccination and placebo groups were evaluated before the trial and followed for one year for aspergillosis detection using a diagnostic panel including computed tomography scans, capillary zone electrophoresis, 3-hydroxybutyrate levels, and anti-A. fumigatus Abs. Anti-α-Gal Abs were detected in sera (IgM and IgY) and eggs (IgY) of healthy penguins. Microbiota analysis and functional predictions revealed the presence of α1,3GT genes in the microbiota of Humboldt penguins and other penguin species. A strong decrease in anti-α-Gal IgM levels was observed in all animals in the placebo group three months after vaccination protocol. This decrease was not observed in E. coli Nissle-treated penguins. After the vaccination protocol, we found a positive correlation between anti-E. coli IgY and anti-α-Gal IgY in the E. coli Nissle group, suggesting a correlation between the presence of the bacteria and these Abs. During the study period, three penguins exhibited respiratory signs consistent with aspergillosis. Two were from the placebo group whose symptoms resolved with specific treatments, while a single vaccinated individual developed fatal respiratory aspergillosis eight months after the trial. We conclude that E. coli Nissle represents a safe potential probiotic with a protective effect against aspergillosis in Humboldt penguins that deserves to be further explored for therapeutic uses in these animals.
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Affiliation(s)
- Milan Thorel
- ZooParc de Beauval and Beauval Nature, Saint-Aignan-sur-Cher, France
| | - Lourdes Mateos-Hernandez
- Anses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
| | - Baptiste Mulot
- ZooParc de Beauval and Beauval Nature, Saint-Aignan-sur-Cher, France
| | - Mouna Naila Azzouni
- Anses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
| | - Adnan Hodžić
- Department of Pathobiology, Institute of Parasitology, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Hugues Gaillot
- ADVETIA Veterinary Hospital Center, Vélizy-Villacoublay, France
| | - Yannick Ruel
- ADVETIA Veterinary Hospital Center, Vélizy-Villacoublay, France
| | - Guillaume Desoubeaux
- CHU de Tours, Service de Parasitologie, Mycologie, Médecine Tropicale, Tours, France
- Université de Tours, Inserm U1100 – Centre d’Etude des Pathologies Respiratoires, Faculté de Médecine, Tours, France
| | - Jean-Baptiste Delaye
- CHU de Tours, Pôle de Biologie médicale, Laboratoire de Médecine Nucléaire In Vitro – Centre Régional de Dépistage Néonatal, Tours, France
| | - Dasiel Obregon
- School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
| | - Alejandra Wu-Chuang
- Anses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
| | - José de la Fuente
- SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain
- Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, OK, United States
| | | | - Veronica Risco-Castillo
- EA 7380 Dynamyc, UPEC, USC, ANSES, Ecole nationale vétérinaire d’Alfort, Université Paris-Est, Maisons-Alfort, France
| | - Antoine Leclerc
- ZooParc de Beauval and Beauval Nature, Saint-Aignan-sur-Cher, France
| | - Alejandro Cabezas-Cruz
- Anses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
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Ivulic D, Rossello-Mora R, Viver T, Montero DA, Vidal S, Aspee F, Hidalgo H, Vidal R. Litter Management Strategies and Their Impact on the Environmental and Respiratory Microbiome Might Influence Health in Poultry. Microorganisms 2022; 10:microorganisms10050878. [PMID: 35630323 PMCID: PMC9144224 DOI: 10.3390/microorganisms10050878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/15/2022] [Accepted: 04/19/2022] [Indexed: 11/12/2022] Open
Abstract
Aerial and respiratory tract-associated bacterial diversity has been scarcely studied in broiler production systems. This study examined the relationship between the environmental air and birds’ respiratory microbiome, considering a longitudinal sampling. Total viable bacteria and coliforms in the air were quantified, and the 16S rRNA gene was sequenced from tracheal and air samples obtained through a novelty protocol. Air results showed a decrease in coliforms over time. However, at week 3, we reported an increase in coliforms (from 143 to 474 CFUc/m3) associated with litter management. Additionally, 16S rRNA gene results indicated a distinctive air microbial community, associated primarily with Bacillota phylum particularly of the Bacilli class (>58%), under all conditions. Tracheal results indicated a predominance of Escherichia coli/Shigella at the beginning of the productive cycle, shifting toward the middle and end of the cycle to Gallibacterium. However, at week 3, the dominance of Escherichia coli/Shigella (>99.5%) associated with litter aeration by tumbling stood out. Tracheal and air samples displayed a statistically different community structure, but shared differentially abundant features through time: Enterococcus, Gallibacterium, and Romboutsia ilealis. These results indicate the impact of production management protocols on the birds’ respiratory system that should be considered a breakpoint in poultry farm health.
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Affiliation(s)
- Dinka Ivulic
- Programa de Doctorado en Ciencias Silvoagropecuarias y Veterinarias, Campus Sur Universidad de Chile, Santa Rosa 11315, La Pintana, Santiago 8820808, Chile;
| | - Ramon Rossello-Mora
- Marine Microbiology Group, Department of Animal and Microbial Diversity, IMEDEA (CSIC-UIB), 07190 Esporles, Illes Balears, Spain; (R.R.-M.); (T.V.)
| | - Tomeu Viver
- Marine Microbiology Group, Department of Animal and Microbial Diversity, IMEDEA (CSIC-UIB), 07190 Esporles, Illes Balears, Spain; (R.R.-M.); (T.V.)
| | - David A. Montero
- Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile;
- Programa de Inmunología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile
- Centro Integrativo de Biología y Química Aplicada (CIBQA), Universidad Bernardo O’Higgins, Santiago 8370993, Chile
| | - Sonia Vidal
- Laboratory of Veterinary Vaccines, Department of Animal Biology, Faculty of Veterinary and Animal Science, Universidad de Chile, Santiago 8820808, Chile;
| | | | - Héctor Hidalgo
- Laboratory of Avian Pathology, Faculty of Veterinary and Animal Sciences, Universidad de Chile, Santiago 8820808, Chile
- Correspondence: (H.H.); (R.V.); Tel.: +56-998-477-740 (H.H.); +56-998-496-363 (R.V.)
| | - Roberto Vidal
- Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile;
- ANID—Millennium Science Initiative Program—Millennium Nucleus in the Biology of Intestinal Microbiota, Santiago 8320000, Chile
- Instituto Milenio de Inmunología e Inmunoterapia, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile
- Correspondence: (H.H.); (R.V.); Tel.: +56-998-477-740 (H.H.); +56-998-496-363 (R.V.)
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13
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Palinauskas V, Mateos-Hernandez L, Wu-Chuang A, de la Fuente J, Aželytė J, Obregon D, Cabezas-Cruz A. Exploring the Ecological Implications of Microbiota Diversity in Birds: Natural Barriers Against Avian Malaria. Front Immunol 2022; 13:807682. [PMID: 35250978 PMCID: PMC8891477 DOI: 10.3389/fimmu.2022.807682] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/28/2022] [Indexed: 12/12/2022] Open
Abstract
Natural antibodies (Abs), produced in response to bacterial gut microbiota, drive resistance to infection in vertebrates. In natural systems, gut microbiota diversity is expected to shape the spectrum of natural Abs and resistance to parasites. This hypothesis has not been empirically tested. In this 'Hypothesis and Theory' paper, we propose that enteric microbiota diversity shapes the immune response to the carbohydrate α-Gal and resistance to avian malaria. We further propose that anti-α-Gal Abs are transmitted from mother to eggs for early malaria protection in chicks. Microbiota modulation by anti-α-Gal Abs is also proposed as a mechanism favoring the early colonization of bacterial taxa with α1,3-galactosyltransferase (α1,3GT) activity in the bird gut. Our preliminary data shows that bacterial α1,3GT genes are widely distributed in the gut microbiome of wild and domestic birds. We also showed that experimental infection with the avian malaria parasite P. relictum induces anti-α-Gal Abs in bird sera. The bird-malaria-microbiota system allows combining field studies with infection and transmission experiments in laboratory animals to test the association between microbiota composition, anti-α-Gal Abs, and malaria infection in natural populations of wild birds. Understanding how the gut microbiome influences resistance to malaria can bring insights on how these mechanisms influence the prevalence of malaria parasites in juvenile birds and shape the host population dynamics.
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Affiliation(s)
| | - Lourdes Mateos-Hernandez
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
| | - Alejandra Wu-Chuang
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
| | - José de la Fuente
- SaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain
- Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, OK, United States
| | - Justė Aželytė
- Nature Research Centre, Akademijos 2, Vilnius, Lithuania
| | - Dasiel Obregon
- School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
| | - Alejandro Cabezas-Cruz
- ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France
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14
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Ong CT, Ross EM, Boe-Hansen GB, Turni C, Hayes BJ, Tabor AE. Technical note: overcoming host contamination in bovine vaginal metagenomic samples with nanopore adaptive sequencing. J Anim Sci 2022; 100:skab344. [PMID: 34791313 PMCID: PMC8722758 DOI: 10.1093/jas/skab344] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/10/2021] [Indexed: 12/11/2022] Open
Abstract
Animal metagenomic studies, in which host-associated microbiomes are profiled, are an increasingly important contribution to our understanding of the physiological functions, health and susceptibility to diseases of livestock. One of the major challenges in these studies is host DNA contamination, which limits the sequencing capacity for metagenomic content and reduces the accuracy of metagenomic profiling. This is the first study comparing the effectiveness of different sequencing methods for profiling bovine vaginal metagenomic samples. We compared the new method of Oxford Nanopore Technologies (ONT) adaptive sequencing, which can be used to target or eliminate defined genetic sequences, to standard ONT sequencing, Illumina 16S rDNA amplicon sequencing, and Illumina shotgun sequencing. The efficiency of each method in recovering the metagenomic data and recalling the metagenomic profiles was assessed. ONT adaptive sequencing yielded a higher amount of metagenomic data than the other methods per 1 Gb of sequence data. The increased sequencing efficiency of ONT adaptive sequencing consequently reduced the amount of raw data needed to provide sufficient coverage for the metagenomic samples with high host-to-microbe DNA ratio. Additionally, the long reads generated by ONT adaptive sequencing retained the continuity of read information, which benefited the in-depth annotations for both taxonomical and functional profiles of the metagenome. The different methods resulted in the identification of different taxa. Genera Clostridium, which was identified at low abundances and categorized under Order "Unclassified Clostridiales" when using the 16S rDNA amplicon sequencing method, was identified to be the dominant genera in the sample when sequenced with the three other methods. Additionally, higher numbers of annotated genes were identified with ONT adaptive sequencing, which also produced high coverage on most of the commonly annotated genes. This study illustrates the advantages of ONT adaptive sequencing in improving the amount of metagenomic data derived from microbiome samples with high host-to-microbe DNA ratio and the advantage of long reads in preserving intact information for accurate annotations.
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Affiliation(s)
- Chian Teng Ong
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Queensland 4072, Australia
| | - Elizabeth M Ross
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Queensland 4072, Australia
| | - Gry B Boe-Hansen
- Faculty of Science, School of Veterinary Science, The University of Queensland, Queensland 4072, Australia
| | - Conny Turni
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Queensland 4072, Australia
| | - Ben J Hayes
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Queensland 4072, Australia
| | - Ala E Tabor
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Queensland 4072, Australia
- Faculty of Science, School of Chemistry and Molecular Bioscience, The University of Queensland, Queensland 4072, Australia
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