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Sun Y, Xing J, Xu S, Li Y, Zhong J, Gao H, Cheng S, Dong J, Zhang T, Lu G, Baele G, Zhang G. Demographic and zoological drivers of infectome diversity in companion cats with ascites. mSystems 2024:e0063624. [PMID: 39120143 DOI: 10.1128/msystems.00636-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 06/21/2024] [Indexed: 08/10/2024] Open
Abstract
Cats (Felidae) have become an integral part of many households. However, our understanding of the full spectrum of pathogens affecting cats (referred to as the infectome) is limited, mainly due to the inadequacy of commonly used diagnostic tools in capturing the complete diversity of potential pathogens and the prevalence of pathogen co-infections. In this study, we employed a meta-transcriptomic approach to simultaneously characterize the infectome contributing to different disease syndromes and to investigate spatial, demographic, and ecological factors influencing pathogen diversity and community composition in a cohort of 27 hospitalized cats and seven stray cats. We identified 15 species of pathogens, with Candidatus Rickettsia tarasevichiae and Tritrichomonas foetus representing potential spillover risks. Importantly, although most cases of ascites hyperplasia were explained by coinfection with multiple pathogens, we identified the potential novel clinical outcomes of M. aubagnense infection among cats. We demonstrated that the increase in infectome diversity can be explained by a variety of predictors including age growth, temperature increase, and a higher proportion of females, with age growth presenting the strongest effect. Fine-scale analysis indicated that a higher diversity of infectomes were harbored in young cats rather than adult ones. Our results demonstrated that most feline diseases are better explained by the presence of virus-bacteria or virus-virus coinfection. This study serves as a timely endorsement for clinical diagnosis by vets to consider the cause of a disease based on a panel of cryptical co-infecting pathogens rather than on individual infectious agents. IMPORTANCE Frequent studies reported the risks of cats as an intermediate host of zoonotic pathogens (e.g., SARS-CoV-2). Cats have a physically close interaction with their owners through activities like petting, kissing, and being licked on the cheek and hands. However, there are still limited studies that systematically investigate the infectome structure of cats. In this study, we employed a meta-transcriptomics approach to characterize 15 species of pathogens in cats, with Candidatus Rickettsia tarasevichiae first characterizing infection in diseased cats. Most feline diseases were better explained by the presence of virus-bacteria or virus-virus coinfection. The increase in infectome diversity could be influenced by a variety of predictors including age growth, temperature increase, and a higher proportion of females. A higher diversity of pathogens was harbored in young cats rather than adults. Importantly, we showed the value of linking the modern influx of meta-transcriptomics with comparative ecology and demography and of utilizing it to affirm that ecological and demographic variations impact the total infectome.
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Affiliation(s)
- Yankuo Sun
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Jiabao Xing
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Sijia Xu
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Yue Li
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Jianhao Zhong
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Han Gao
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Song Cheng
- CAU Dong Jun laboratory, Guangzhou, China, Guangzhou, China
| | - Jun Dong
- CAU Dong Jun laboratory, Guangzhou, China, Guangzhou, China
| | - Tianyou Zhang
- CAU Dong Jun laboratory, Guangzhou, China, Guangzhou, China
- Guangzhou Chimelong Safari Park, Guangzhou, China
| | - Gang Lu
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium
| | - Guihong Zhang
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
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Aruwa CE, Sabiu S. Interplay of poultry-microbiome interactions - influencing factors and microbes in poultry infections and metabolic disorders. Br Poult Sci 2024:1-15. [PMID: 38920059 DOI: 10.1080/00071668.2024.2356666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/06/2024] [Indexed: 06/27/2024]
Abstract
1. The poultry microbiome and its stability at every point in time, either free range or reared under different farming systems, is affected by several environmental and innate factors. The interaction of the poultry birds with their microbiome, as well as several inherent and extraneous factors contribute to the microbiome dynamics. A poor understanding of this could worsen poultry heath and result in disease/metabolic disorders.2. Many diseased states associated with poultry have been linked to dysbiosis state, where the microbiome experiences some perturbation. Dysbiosis itself is too often downplayed; however, it is considered a disease which could lead to more serious conditions in poultry. The management of interconnected factors by conventional and emerging technologies (sequencing, nanotechnology, robotics, 3D mini-guts) could prove to be indispensable in ensuring poultry health and welfare.3. Findings showed that high-throughput technological advancements enhanced scientific insights into emerging trends surrounding the poultry gut microbiome and ecosystem, the dysbiotic condition, and the dynamic roles of intrinsic and exogenous factors in determining poultry health. Yet, a combination of conventional, -omics based and other techniques further enhance characterisation of key poultry microbiome actors, their mechanisms of action, and roles in maintaining gut homoeostasis and health, in a bid to avert metabolic disorders and infections.4. In conclusion, there is an important interplay of innate, environmental, abiotic and biotic factors impacting on poultry gut microbiome homoeostasis, dysbiosis, and overall health. Associated infections and metabolic disorders can result from the interconnected nature of these factors. Emerging concepts (interkingdom or network signalling and neurotransmitter), and future technologies (mini-gut models, cobots) need to include these interactions to ensure accurate control and outcomes.
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Affiliation(s)
- C E Aruwa
- Department of Biotechnology and Food Science, Faculty of Applied Sciences, Durban University of Technology, Durban, South Africa
| | - S Sabiu
- Department of Biotechnology and Food Science, Faculty of Applied Sciences, Durban University of Technology, Durban, South Africa
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3
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Albuquerque NK, Silva SP, Aragão CF, Cunha TCAS, Paiva FAS, Coelho TFSB, Cruz ACR. Virome analysis of Desmodus rotundus tissue samples from the Amazon region. BMC Genomics 2024; 25:34. [PMID: 38177994 PMCID: PMC10768307 DOI: 10.1186/s12864-023-09950-w] [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: 08/21/2023] [Accepted: 12/28/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Bats are renowned for harboring a high viral diversity, their characteristics contribute to emerging infectious diseases. However, environmental and anthropic factors also play a significant role in the emergence of zoonotic viruses. Metagenomic is an important tool for investigating the virome of bats and discovering new viruses. RESULTS Twenty-four families of virus were detected in lung samples by sequencing and bioinfomatic analysis, the largest amount of reads was focused on the Retroviridae and contigs assembled to Desmodus rotundus endogenous retrovirus, which was feasible to acquire complete sequences. The reads were also abundant for phages. CONCLUSION This lung virome of D. rotundus contributes valuable information regarding the viral diversity found in bats, which is useful for understanding the drivers of viral cycles and their ecology in this species. The identification and taxonomic categorization of viruses hosted by bats carry epidemiological significance due to the potential for viral adaptation to other animals and humans, which can have severe repercussions for public health. Furthermore, the characterization of endogenized viruses helps to understanding the host genome and the evolution of the species.
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Affiliation(s)
- Nádia K Albuquerque
- Institute of Biologic Science, Federal University of Pará, Augusto Corrêa Road, Belém, 66075-750, Pará, Brazil.
| | - Sandro P Silva
- Arbovirology and Hemorragic Fever Department, Evandro Chagas Institute, BR-316 Highway, Ananindeua, 67030-000, Pará, Brazil
| | - Carine F Aragão
- Arbovirology and Hemorragic Fever Department, Evandro Chagas Institute, BR-316 Highway, Ananindeua, 67030-000, Pará, Brazil
| | - Tânia Cristina A S Cunha
- Arbovirology and Hemorragic Fever Department, Evandro Chagas Institute, BR-316 Highway, Ananindeua, 67030-000, Pará, Brazil
| | - Francisco A S Paiva
- Arbovirology and Hemorragic Fever Department, Evandro Chagas Institute, BR-316 Highway, Ananindeua, 67030-000, Pará, Brazil
| | - Taciana F S B Coelho
- Arbovirology and Hemorragic Fever Department, Evandro Chagas Institute, BR-316 Highway, Ananindeua, 67030-000, Pará, Brazil
| | - Ana Cecília R Cruz
- Institute of Biologic Science, Federal University of Pará, Augusto Corrêa Road, Belém, 66075-750, Pará, Brazil.
- Arbovirology and Hemorragic Fever Department, Evandro Chagas Institute, BR-316 Highway, Ananindeua, 67030-000, Pará, Brazil.
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Llanco L, Retamozo K, Oviedo N, Manchego A, Lázaro C, Navarro-Mamani DA, Santos N, Rojas M. Co-Circulation of Multiple Coronavirus Genera and Subgenera during an Epizootic of Lethal Respiratory Disease in Newborn Alpacas ( Vicugna pacos) in Peru: First Report of Bat-like Coronaviruses in Alpacas. Animals (Basel) 2023; 13:2983. [PMID: 37760383 PMCID: PMC10525639 DOI: 10.3390/ani13182983] [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: 08/16/2023] [Revised: 09/08/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Coronaviruses (CoVs) infect a wide range of hosts, including humans, domestic animals, and wildlife, typically causing mild-to-severe respiratory or enteric disease. The main objective of this study was to identify CoV genera and subgenera detected in Peruvian alpacas. Lung lavage specimens were collected from 32 animals aged 1 to 6 weeks. CoVs were identified by using RT-PCR to amplify a pan-CoV conserved region of the RNA-dependent RNA polymerase-encoding gene. A nested PCR was performed to identify β-CoVs. Then, β-CoV-positive samples were subjected to RT-PCR using specific primers to identify the Embecovirus subgenus. Out of 32 analyzed samples, 30 (93.8%) tested positive for at least one CoV genus. β-, α-, or unclassified CoVs were identified in 24 (80%), 1 (3.3%), and 1 (3.3%) of the positive samples, respectively. A CoV genus could not be identified in two (6.7%) samples. A mixture of different CoV genera was detected in two (6.7%) samples: one was co-infected with β- and α-CoVs, and the other contained a β- and an unclassified CoV. A sequence analysis of the amplicons generated by the PCR identified 17 β-CoV strains belonging to the subgenus Embecovirus and two α-CoV strains belonging to Decacovirus. A phylogenetic analysis of two strains revealed a relationship with an unclassified Megaderma BatCoV strain. A subgenus could not be identified in nine β-CoV samples. Our data show a high prevalence and a high genetic diversity of CoV genera and subgenera that infect alpacas, in which the β-CoV subgenus Embecovirus predominated. Our data also suggest a new role for bats in the dissemination and transmission of uncommon CoVs to alpacas raised in rural Peru.
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Affiliation(s)
- Luis Llanco
- Escuela de Medicina Humana, Universidad Privada San Juan Bautista, Apartado, Chincha 15067, Peru;
| | - Karubya Retamozo
- Laboratório de Inmunología, Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, Apartado, Lima 03-5137, Peru; (K.R.); (N.O.); (A.M.)
| | - Noriko Oviedo
- Laboratório de Inmunología, Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, Apartado, Lima 03-5137, Peru; (K.R.); (N.O.); (A.M.)
| | - Alberto Manchego
- Laboratório de Inmunología, Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, Apartado, Lima 03-5137, Peru; (K.R.); (N.O.); (A.M.)
| | - César Lázaro
- Laboratório de Farmacología y Toxicología Veterinaria, Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, Apartado, Lima 03-5137, Peru;
| | - Dennis A. Navarro-Mamani
- Laboratório de Virología, Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, Apartado, Lima 03-5137, Peru;
| | - Norma Santos
- Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, RJ, Brazil;
| | - Miguel Rojas
- Laboratório de Inmunología, Facultad de Medicina Veterinaria, Universidad Nacional Mayor de San Marcos, Apartado, Lima 03-5137, Peru; (K.R.); (N.O.); (A.M.)
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Gil P, Exbrayat A, Loire E, Rakotoarivony I, Charriat F, Morel C, Baldet T, Boisseau M, Marie A, Frances B, L’Ambert G, Bessat M, Otify Y, Goffredo M, Mancini G, Busquets N, Birnberg L, Talavera S, Aranda C, Ayari E, Mejri S, Sghaier S, Bennouna A, El Rhaffouli H, Balenghien T, Chlyeh G, Fassi Fihri O, Reveillaud J, Simonin Y, Eloit M, Gutierrez S. Spatial scale influences the distribution of viral diversity in the eukaryotic virome of the mosquito Culex pipiens. Virus Evol 2023; 9:vead054. [PMID: 37719779 PMCID: PMC10504824 DOI: 10.1093/ve/vead054] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 06/22/2023] [Accepted: 08/23/2023] [Indexed: 09/19/2023] Open
Abstract
Our knowledge of the diversity of eukaryotic viruses has recently undergone a massive expansion. This diversity could influence host physiology through yet unknown phenomena of potential interest to the fields of health and food production. However, the assembly processes of this diversity remain elusive in the eukaryotic viromes of terrestrial animals. This situation hinders hypothesis-driven tests of virome influence on host physiology. Here, we compare taxonomic diversity between different spatial scales in the eukaryotic virome of the mosquito Culex pipiens. This mosquito is a vector of human pathogens worldwide. The experimental design involved sampling in five countries in Africa and Europe around the Mediterranean Sea and large mosquito numbers to ensure a thorough exploration of virus diversity. A group of viruses was found in all countries. This core group represented a relatively large and diverse fraction of the virome. However, certain core viruses were not shared by all host individuals in a given country, and their infection rates fluctuated between countries and years. Moreover, the distribution of coinfections in individual mosquitoes suggested random co-occurrence of those core viruses. Our results also suggested differences in viromes depending on geography, with viromes tending to cluster depending on the continent. Thus, our results unveil that the overlap in taxonomic diversity can decrease with spatial scale in the eukaryotic virome of C. pipiens. Furthermore, our results show that integrating contrasted spatial scales allows us to identify assembly patterns in the mosquito virome. Such patterns can guide future studies of virome influence on mosquito physiology.
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Affiliation(s)
- Patricia Gil
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Antoni Exbrayat
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Etienne Loire
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Ignace Rakotoarivony
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Florian Charriat
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Côme Morel
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Thierry Baldet
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Michel Boisseau
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | | | | | | | - Mohamed Bessat
- Department of Parasitology, Faculty of Veterinary Medicine, Alexandria University, Alexandria 5410012, Egypt
| | - Yehia Otify
- Department of Parasitology, Faculty of Veterinary Medicine, Alexandria University, Alexandria 5410012, Egypt
| | - Maria Goffredo
- Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise ‘G. Caporale’, Teramo 64100, Italy
| | - Giuseppe Mancini
- Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise ‘G. Caporale’, Teramo 64100, Italy
| | - Núria Busquets
- IRTA. Programa de Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra 08193, Spain
| | - Lotty Birnberg
- IRTA. Programa de Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra 08193, Spain
| | - Sandra Talavera
- IRTA. Programa de Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra 08193, Spain
| | - Carles Aranda
- IRTA. Programa de Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), Bellaterra 08193, Spain
- Servei de Control de Mosquits del Consell Comarcal del Baix Llobregat, Barcelona 08980, Spain
| | - Emna Ayari
- Institut de la Recherche Vétérinaire de Tunisie - Université Tunis El Manar, Tunis 1068, Tunisia
| | - Selma Mejri
- Institut de la Recherche Vétérinaire de Tunisie - Université Tunis El Manar, Tunis 1068, Tunisia
| | - Soufien Sghaier
- Institut de la Recherche Vétérinaire de Tunisie - Université Tunis El Manar, Tunis 1068, Tunisia
| | - Amal Bennouna
- Department of Animal Pathology and Public Health, Hassan II Agronomy & Veterinary Institute, Rabat BP 6202, Morocco
| | | | - Thomas Balenghien
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
- Department of Animal Pathology and Public Health, Hassan II Agronomy & Veterinary Institute, Rabat BP 6202, Morocco
| | - Ghita Chlyeh
- Département de Production, Protection et Biotechnologies Végétales, Unité de Zoologie, Institute of Agronomy and Veterinary Medicine Hassan II, Rabat BP 6202, Morocco
| | - Ouafaa Fassi Fihri
- Department of Animal Pathology and Public Health, Hassan II Agronomy & Veterinary Institute, Rabat BP 6202, Morocco
| | - Julie Reveillaud
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
| | - Yannick Simonin
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
- Pathogenesis and Control of Chronic Infections, University of Montpellier, INSERM, EFS, Montpellier 34394, France
| | - Marc Eloit
- Institut Pasteur, Université Paris Cité, Pathogen Discovery Laboratory, Paris 75015, France
- Institut Pasteur, The OIE Collaborating Centre for Detection and Identification in Humans of Emerging Animal Pathogens, Paris 75724, France
- École nationale vétérinaire d’Alfort, Maisons-Alfort 94700, France
| | - Serafin Gutierrez
- ASTRE, CIRAD, INRAE, University of Montpellier, Montpellier, Languedoc-Roussillon 34398, France
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Brown N, Escobar LE. A review of the diet of the common vampire bat ( Desmodus rotundus) in the context of anthropogenic change. Mamm Biol 2023; 103:1-21. [PMID: 37363038 PMCID: PMC10258787 DOI: 10.1007/s42991-023-00358-3] [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: 08/15/2022] [Accepted: 03/30/2023] [Indexed: 06/28/2023]
Abstract
The common vampire bat (Desmodus rotundus) maintains a diverse, sanguivorous diet, utilizing a broad range of prey taxa. As anthropogenic change alters the distribution of this species, shifts in predator-prey interactions are expected. Understanding prey richness and patterns of prey selection is, thus, increasingly informative from ecological, epidemiological, and economic perspectives. We reviewed D. rotundus diet and assessed the geographical, taxonomical, and behavioral features to find 63 vertebrate species within 21 orders and 45 families constitute prey, including suitable host species in regions of invasion outside D. rotundus' range. Rodentia contained the largest number of species utilized by D. rotundus, though cattle were the most commonly reported prey source, likely linked to the high availability of livestock and visibility of bite wounds compared to wildlife. Additionally, there was tendency to predate upon species with diurnal activity and social behavior, potentially facilitating convenient and nocturnal predation. Our review highlights the dietary heterogeneity of D. rotundus across its distribution. We define D. rotundus as a generalist predator, or parasite, depending on the ecological definition of its symbiont roles in an ecosystem (i.e., lethal vs. non-lethal blood consumption). In view of the eminent role of D. rotundus in rabies virus transmission and its range expansion, an understanding of its ecology would benefit public health, wildlife management, and agriculture. Supplementary Information The online version contains supplementary material available at 10.1007/s42991-023-00358-3.
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Affiliation(s)
- Natalie Brown
- Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA USA
| | - Luis E. Escobar
- Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA USA
- Global Change Center, Virginia Tech, Blacksburg, VA USA
- Center for Emerging Zoonotic and Arthropod-Borne Pathogens, Virginia Tech, Blacksburg, VA USA
- Doctorado en Agrociencias, Facultad de Ciencias Agropecuarias, Universidad de La Salle, Carrera 7 No. 179-03, Bogotá, Colombia
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7
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Evaluation of extraction and enrichment methods for recovery of respiratory RNA viruses in a metagenomics approach. J Virol Methods 2023; 314:114677. [PMID: 36657602 PMCID: PMC10009504 DOI: 10.1016/j.jviromet.2023.114677] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 01/09/2023] [Accepted: 01/14/2023] [Indexed: 01/18/2023]
Abstract
Viral metagenomics is increasingly applied in viral detection and virome characterization. Different extraction and enrichment techniques may be adopted, however, reports on their effective influence on viral recovery is often conflicting. Using a three step enrichment steps, the effect of three extraction kits and the influence of DNase treatment with or without rRNA removal for respiratory RNA virus recovery from nasopharyngeal swab samples was evaluated. The viral cocktail containing six different RNA viruses pooled in equal volume were subjected to the different extraction and enrichment methods, sequenced using the Illumina MiSeq, and analysed using Genome Detective. The PureLink® Viral RNA/DNA Mini Kit (PureLink) was highly efficient with better recovery of all the viral agents in the cocktail. The use of rRNA treatment resulted in increased viral recovery with PureLink and QIAamp® Viral RNA Mini kit, while having comparable recovery rate as DNase only with the QIAamp® MinElute Virus Spin Kit. The observed low reads and genome coverage of some of the viruses could be attributed to their low abundance. Depending on sample matrix, extraction choice and enrichment strategy may influence recovery of respiratory RNA virus in metagenomics studies, therefore individual evaluation and adoption may be necessary for a robust result.
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8
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Miranda TDS, Schiffler FB, D'arc M, Moreira FRR, Cosentino MAC, Coimbra A, Mouta R, Medeiros G, Girardi DL, Wanderkoke V, Soares CFA, Francisco TM, Henry MD, Afonso BC, Soffiati FL, Ferreira SS, Ruiz-Miranda CR, Soares MA, Santos AFA. Metagenomic analysis reveals novel dietary-related viruses in the gut virome of marmosets hybrids (Callithrix jacchus x Callithrix penicillata), Brazil. Virus Res 2023; 325:199017. [PMID: 36565815 DOI: 10.1016/j.virusres.2022.199017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/02/2022] [Accepted: 12/04/2022] [Indexed: 12/24/2022]
Abstract
Viral metagenomics has contributed enormously to the characterization of a wide range of viruses infecting animals of all phyla in the last decades. Among Neotropical primates, especially those introduced, knowledge about viral diversity remains poorly studied. Therefore, using metagenomics based on virus enrichment, we explored the viral microbiota present in the feces of introduced common marmosets (Callithrix sp.) in three locations from the Silva Jardim region in the State of Rio de Janeiro, Brazil. Fecal samples were collected from nine marmosets, pooled into three sample pools, and sequenced on Illumina MiSeq platform. Sequence reads were analyzed using a viral metagenomic analysis pipeline and two novel insect viruses belonging to the Parvoviridae and Baculoviridae families were identified. The complete genome of a densovirus (Parvoviridae family) of 5,309 nucleotides (nt) was obtained. The NS1 and VP1 proteins share lower than 32% sequence identity with the corresponding proteins of known members of the subfamily Densovirinae. Phylogenetic analysis suggests that this virus represents a new genus, provisionally named Afoambidensovirus due to its discovery in the Brazilian Atlantic Forest. The novel species received the name Afoambidensovirus incertum 1. The complete circular genome of a baculovirus of 107,191 nt was also obtained, showing 60.8% sequence identity with the most closely related member of the Baculoviridae family. Phylogenetic analysis suggests that this virus represents a new species in the Betabaculovirus genus, provisionally named Betabaculovirus incertum 1. In addition, sequences from several families of arthropods in the three pools evaluated were characterized (contigs ranging from 244 to 6,750 nt), corroborating the presence of possible insect hosts with which these new viruses may be associated. Our study expands the knowledge about two viral families known to infect insects, an important component of the marmosets' diet. This identification in hosts' feces samples demonstrates one of the many uses of this type of data and could serve as a basis for future research characterizing viruses in wildlife using noninvasive samples.
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Affiliation(s)
- Thamiris Dos Santos Miranda
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | | | - Mirela D'arc
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Filipe Romero Rebello Moreira
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil; Department of Infectious Disease Epidemiology, Imperial College London, London, UK
| | | | - Amanda Coimbra
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Ricardo Mouta
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Gabriel Medeiros
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Déa Luiza Girardi
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Victor Wanderkoke
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil
| | - Caique Ferreira Amaral Soares
- Associação Mico-Leão-Dourado, Silva Jardim, Rio de Janeiro, RJ, Brazil; Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, RJ, Brazil
| | - Talitha Mayumi Francisco
- Associação Mico-Leão-Dourado, Silva Jardim, Rio de Janeiro, RJ, Brazil; Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, RJ, Brazil
| | - Malinda Dawn Henry
- Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, RJ, Brazil
| | - Bianca Cardozo Afonso
- Associação Mico-Leão-Dourado, Silva Jardim, Rio de Janeiro, RJ, Brazil; Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, RJ, Brazil
| | | | | | - Carlos Ramon Ruiz-Miranda
- Associação Mico-Leão-Dourado, Silva Jardim, Rio de Janeiro, RJ, Brazil; Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, RJ, Brazil
| | - Marcelo Alves Soares
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil; Programa de Oncovirologia, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil
| | - André Felipe Andrade Santos
- Laboratório de Diversidade e Doenças Virais, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.
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9
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He X, Wang X, Fan G, Li F, Wu W, Wang Z, Fu M, Wei X, Ma S, Ma X. Metagenomic analysis of viromes in tissues of wild Qinghai vole from the eastern Tibetan Plateau. Sci Rep 2022; 12:17239. [PMID: 36241909 PMCID: PMC9562062 DOI: 10.1038/s41598-022-22134-y] [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: 04/18/2022] [Accepted: 10/10/2022] [Indexed: 01/06/2023] Open
Abstract
Rodents are natural reservoirs of diverse zoonotic viruses and widely distributed on the Tibetan Plateau. A comprehensive understanding of the virome in local rodent species could provide baseline of viral content and assist in efforts to reduce the risk for future emergence of rodent related zoonotic diseases. A total of 205 tissue and fecal samples from 41 wild Qinghai voles were collected. Metagenomic analyses were performed to outline the characteristics of the viromes, and phylogenetic analyses were used to identify the novel viral genomes. The virome distribution among five tissues (liver, lung, spleen, small intestine with content and feces) was also compared. We identified sequences related to 46 viral families. Novel viral genomes from distinct evolutionary lineages with known viruses were characterized for their genomic and evolutionary characteristics, including Hepatovirus, Hepacivirus, Rotavirus, and Picobirnavirus. Further analyses revealed that the core virome harbored by rodent internal tissues were quite different from the virome found in intestine and fecal samples. These findings provide an overview of the viromes in wild Qinghai voles, which are unique and the most common rodent species in the eastern Tibetan Plateau. A high diversity of viruses is likely present in rodent species in this area.
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Affiliation(s)
- Xiaozhou He
- grid.198530.60000 0000 8803 2373NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China ,grid.9227.e0000000119573309Chinese Center for Disease Control and Prevention - Wuhan Institute of Virology, Chinese Academy of Sciences Joint Research Center for Emerging Infectious Diseases and Biosafety, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, People’s Republic of China
| | - Xu Wang
- grid.508378.1National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, People’s Republic of China
| | - Guohao Fan
- grid.198530.60000 0000 8803 2373NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China ,grid.9227.e0000000119573309Chinese Center for Disease Control and Prevention - Wuhan Institute of Virology, Chinese Academy of Sciences Joint Research Center for Emerging Infectious Diseases and Biosafety, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, People’s Republic of China
| | - Fan Li
- grid.198530.60000 0000 8803 2373NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Weiping Wu
- grid.508378.1National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, People’s Republic of China
| | - Zhenghuan Wang
- grid.22069.3f0000 0004 0369 6365School of Life Sciences, East China Normal University, Shanghai, People’s Republic of China
| | - Meihua Fu
- grid.430328.eShanghai Municipal Center for Disease Control and Prevention, Shanghai, People’s Republic of China
| | - Xu Wei
- grid.22069.3f0000 0004 0369 6365School of Life Sciences, East China Normal University, Shanghai, People’s Republic of China
| | - Shuo Ma
- grid.22069.3f0000 0004 0369 6365School of Life Sciences, East China Normal University, Shanghai, People’s Republic of China
| | - Xuejun Ma
- grid.198530.60000 0000 8803 2373NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China ,grid.9227.e0000000119573309Chinese Center for Disease Control and Prevention - Wuhan Institute of Virology, Chinese Academy of Sciences Joint Research Center for Emerging Infectious Diseases and Biosafety, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, People’s Republic of China
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10
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Becker DJ, Albery GF, Sjodin AR, Poisot T, Bergner LM, Chen B, Cohen LE, Dallas TA, Eskew EA, Fagre AC, Farrell MJ, Guth S, Han BA, Simmons NB, Stock M, Teeling EC, Carlson CJ. Optimising predictive models to prioritise viral discovery in zoonotic reservoirs. THE LANCET. MICROBE 2022; 3:e625-e637. [PMID: 35036970 PMCID: PMC8747432 DOI: 10.1016/s2666-5247(21)00245-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Despite the global investment in One Health disease surveillance, it remains difficult and costly to identify and monitor the wildlife reservoirs of novel zoonotic viruses. Statistical models can guide sampling target prioritisation, but the predictions from any given model might be highly uncertain; moreover, systematic model validation is rare, and the drivers of model performance are consequently under-documented. Here, we use the bat hosts of betacoronaviruses as a case study for the data-driven process of comparing and validating predictive models of probable reservoir hosts. In early 2020, we generated an ensemble of eight statistical models that predicted host-virus associations and developed priority sampling recommendations for potential bat reservoirs of betacoronaviruses and bridge hosts for SARS-CoV-2. During a time frame of more than a year, we tracked the discovery of 47 new bat hosts of betacoronaviruses, validated the initial predictions, and dynamically updated our analytical pipeline. We found that ecological trait-based models performed well at predicting these novel hosts, whereas network methods consistently performed approximately as well or worse than expected at random. These findings illustrate the importance of ensemble modelling as a buffer against mixed-model quality and highlight the value of including host ecology in predictive models. Our revised models showed an improved performance compared with the initial ensemble, and predicted more than 400 bat species globally that could be undetected betacoronavirus hosts. We show, through systematic validation, that machine learning models can help to optimise wildlife sampling for undiscovered viruses and illustrates how such approaches are best implemented through a dynamic process of prediction, data collection, validation, and updating.
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Affiliation(s)
- Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Gregory F Albery
- Department of Biology, Georgetown University, Washington, DC, USA
| | - Anna R Sjodin
- Department of Biological Sciences, University of Idaho, Moscow, ID, USA
| | - Timothée Poisot
- Université de Montréal, Département de Sciences Biologiques, Montréal, QC, Canada
| | - Laura M Bergner
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- Medical Research Centre, University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Binqi Chen
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA
| | - Lily E Cohen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tad A Dallas
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA
| | - Evan A Eskew
- Department of Biology, Pacific Lutheran University, Tacoma, WA, USA
| | - Anna C Fagre
- Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA
- Bat Health Foundation, Fort Collins, CO, USA
| | - Maxwell J Farrell
- Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, ON, Canada
| | - Sarah Guth
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
| | - Barbara A Han
- Cary Institute of Ecosystem Studies, Millbrook, NY, USA
| | - Nancy B Simmons
- Department of Mammalogy, Division of Vertebrate Zoology, American Museum of Natural History, New York, NY, USA
| | - Michiel Stock
- Research Unit Knowledge-based Systems, Department of Data Analysis and Mathematical Modelling, Ghent University, Belgium
| | - Emma C Teeling
- School of Biology and Environmental Science, Science Centre West, University College Dublin, Dublin, Ireland
| | - Colin J Carlson
- Department of Biology, Georgetown University, Washington, DC, USA
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC, USA
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA
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11
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PIMGAVir and Vir-MinION: Two Viral Metagenomic Pipelines for Complete Baseline Analysis of 2nd and 3rd Generation Data. Viruses 2022; 14:v14061260. [PMID: 35746732 PMCID: PMC9230805 DOI: 10.3390/v14061260] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/31/2022] [Accepted: 06/03/2022] [Indexed: 11/16/2022] Open
Abstract
The taxonomic classification of viral sequences is frequently used for the rapid identification of pathogens, which is a key point for when a viral outbreak occurs. Both Oxford Nanopore Technologies (ONT) MinION and the Illumina (NGS) technology provide efficient methods to detect viral pathogens. Despite the availability of many strategies and software, matching them can be a very tedious and time-consuming task. As a result, we developed PIMGAVir and Vir-MinION, two metagenomics pipelines that automatically provide the user with a complete baseline analysis. The PIMGAVir and Vir-MinION pipelines work on 2nd and 3rd generation data, respectively, and provide the user with a taxonomic classification of the reads through three strategies: assembly-based, read-based, and clustering-based. The pipelines supply the scientist with comprehensive results in graphical and textual format for future analyses. Finally, the pipelines equip the user with a stand-alone platform with dedicated and various viral databases, which is a requirement for working in field conditions without internet connection.
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12
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Chua PYS, Carøe C, Crampton-Platt A, Reyes-Avila CS, Jones G, Streicker DG, Bohmann K. A two-step metagenomics approach for the identification and mitochondrial DNA contig assembly of vertebrate prey from the blood meals of common vampire bats (Desmodus rotundus). METABARCODING AND METAGENOMICS 2022. [DOI: 10.3897/mbmg.6.78756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The feeding behaviour of the sanguivorous common vampire bat (Desmodus rotundus) facilitates the transmission of pathogens that can impact both human and animal health. To formulate effective strategies in controlling the spread of diseases, there is a need to obtain information on which animals they feed on. One DNA-based approach, shotgun sequencing, can be used to obtain such information. Even though it is costly, shotgun sequencing can be used to simultaneously retrieve prey and vampire bat mitochondrial DNA for population studies within one round of sequencing. However, due to the challenges of analysing shotgun sequenced metagenomic data such as false negatives/positives and typically low proportion of reads mapped to diet items, shotgun sequencing has not been used for the identification of prey from common vampire bat blood meals. To overcome these challenges and generate longer mitochondrial contigs which could be useful for prey population studies, we shotgun sequenced common vampire bat blood meal samples (n = 8) and utilised a two-step metagenomic approach based on combining existing bioinformatic workflows (alignment and mtDNA contig assembly) to identify prey. After validating our results from detections made through metabarcoding, we accurately identified the common vampire bats’ prey in six out of eight samples without any false positives. We also generated prey mitochondrial contig lengths between 138 bp to 3231 bp (median = 770 bp, Q1 = 262 bp, Q3 = 1766 bp). This opens the potential to conduct phylogenetic and phylogeographic monitoring of elusive prey species in future studies, through the analyses of blood meal metagenomic data.
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13
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Griffiths ME, Broos A, Bergner LM, Meza DK, Suarez NM, da Silva Filipe A, Tello C, Becker DJ, Streicker DG. Longitudinal deep sequencing informs vector selection and future deployment strategies for transmissible vaccines. PLoS Biol 2022; 20:e3001580. [PMID: 35439242 PMCID: PMC9017877 DOI: 10.1371/journal.pbio.3001580] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 02/21/2022] [Indexed: 12/04/2022] Open
Abstract
Vaccination is a powerful tool in combating infectious diseases of humans and companion animals. In most wildlife, including reservoirs of emerging human diseases, achieving sufficient vaccine coverage to mitigate disease burdens remains logistically unattainable. Virally vectored "transmissible" vaccines that deliberately spread among hosts are a potentially transformative, but still theoretical, solution to the challenge of immunising inaccessible wildlife. Progress towards real-world application is frustrated by the absence of frameworks to guide vector selection and vaccine deployment prior to major in vitro and in vivo investments in vaccine engineering and testing. Here, we performed deep sequencing on field-collected samples of Desmodus rotundus betaherpesvirus (DrBHV), a candidate vector for a transmissible vaccine targeting vampire bat-transmitted rabies. We discovered 11 strains of DrBHV that varied in prevalence and geographic distribution across Peru. The phylogeographic structure of DrBHV strains was predictable from both host genetics and landscape topology, informing long-term DrBHV-vectored vaccine deployment strategies and identifying geographic areas for field trials where vaccine spread would be naturally contained. Multistrain infections were observed in 79% of infected bats. Resampling of marked individuals over 4 years showed within-host persistence kinetics characteristic of latency and reactivation, properties that might boost individual immunity and lead to sporadic vaccine transmission over the lifetime of the host. Further, strain acquisitions by already infected individuals implied that preexisting immunity and strain competition are unlikely to inhibit vaccine spread. Our results support the development of a transmissible vaccine targeting a major source of human and animal rabies in Latin America and show how genomics can enlighten vector selection and deployment strategies for transmissible vaccines.
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Affiliation(s)
- Megan E. Griffiths
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Alice Broos
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Laura M. Bergner
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Diana K. Meza
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Nicolas M. Suarez
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Ana da Silva Filipe
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, Lima, Peru
- Yunkawasi, Lima, Peru
| | - Daniel J. Becker
- Department of Biology, University of Oklahoma, Norman, Oklahoma, United States of America
| | - Daniel G. Streicker
- MRC–University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
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14
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Blumer M, Brown T, Freitas MB, Destro AL, Oliveira JA, Morales AE, Schell T, Greve C, Pippel M, Jebb D, Hecker N, Ahmed AW, Kirilenko BM, Foote M, Janke A, Lim BK, Hiller M. Gene losses in the common vampire bat illuminate molecular adaptations to blood feeding. SCIENCE ADVANCES 2022; 8:eabm6494. [PMID: 35333583 PMCID: PMC8956264 DOI: 10.1126/sciadv.abm6494] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Vampire bats are the only mammals that feed exclusively on blood. To uncover genomic changes associated with this dietary adaptation, we generated a haplotype-resolved genome of the common vampire bat and screened 27 bat species for genes that were specifically lost in the vampire bat lineage. We found previously unknown gene losses that relate to reduced insulin secretion (FFAR1 and SLC30A8), limited glycogen stores (PPP1R3E), and a unique gastric physiology (CTSE). Other gene losses likely reflect the biased nutrient composition (ERN2 and CTRL) and distinct pathogen diversity of blood (RNASE7) and predict the complete lack of cone-based vision in these strictly nocturnal bats (PDE6H and PDE6C). Notably, REP15 loss likely helped vampire bats adapt to high dietary iron levels by enhancing iron excretion, and the loss of CYP39A1 could have contributed to their exceptional cognitive abilities. These findings enhance our understanding of vampire bat biology and the genomic underpinnings of adaptations to blood feeding.
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Affiliation(s)
- Moritz Blumer
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
| | - Tom Brown
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | | | - Ana Luiza Destro
- Department of Animal Biology, Federal University of Viçosa, Viçosa, Brazil
| | - Juraci A. Oliveira
- Department of General Biology, Federal University of Viçosa, Viçosa, Brazil
| | - Ariadna E. Morales
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Tilman Schell
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Carola Greve
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - David Jebb
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Nikolai Hecker
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Alexis-Walid Ahmed
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Bogdan M. Kirilenko
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Maddy Foote
- Native Bat Conservation Program, Toronto Zoo, 361A Old Finch Avenue, Toronto, Ontario M1B 5K7, Canada
| | - Axel Janke
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Burton K. Lim
- Department of Natural History, Royal Ontario Museum, 100 Queen’s Park, Toronto, Ontario M5S 2C6, Canada
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
- Corresponding author.
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15
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Jurasz H, Pawłowski T, Perlejewski K. Contamination Issue in Viral Metagenomics: Problems, Solutions, and Clinical Perspectives. Front Microbiol 2021; 12:745076. [PMID: 34745046 PMCID: PMC8564396 DOI: 10.3389/fmicb.2021.745076] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/17/2021] [Indexed: 12/16/2022] Open
Abstract
We describe the most common internal and external sources and types of contamination encountered in viral metagenomic studies and discuss their negative impact on sequencing results, particularly for low-biomass samples and clinical applications. We also propose some basic recommendations for reducing the background noise in viral shotgun metagenomic (SM) studies, which would limit the bias introduced by various classes of contaminants. Regardless of the specific viral SM protocol, contamination cannot be totally avoided; in particular, the issue of reagent contamination should always be addressed with high priority. There is an urgent need for the development and validation of standards for viral metagenomic studies especially if viral SM protocols will be more widely applied in diagnostics.
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Affiliation(s)
- Henryk Jurasz
- Department of Immunopathology of Infectious and Parasitic Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Tomasz Pawłowski
- Division of Psychotherapy and Psychosomatic Medicine, Department of Psychiatry, Wrocław Medical University, Wrocław, Poland
| | - Karol Perlejewski
- Department of Immunopathology of Infectious and Parasitic Diseases, Medical University of Warsaw, Warsaw, Poland
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16
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Carlson CJ, Farrell MJ, Grange Z, Han BA, Mollentze N, Phelan AL, Rasmussen AL, Albery GF, Bett B, Brett-Major DM, Cohen LE, Dallas T, Eskew EA, Fagre AC, Forbes KM, Gibb R, Halabi S, Hammer CC, Katz R, Kindrachuk J, Muylaert RL, Nutter FB, Ogola J, Olival KJ, Rourke M, Ryan SJ, Ross N, Seifert SN, Sironen T, Standley CJ, Taylor K, Venter M, Webala PW. The future of zoonotic risk prediction. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200358. [PMID: 34538140 PMCID: PMC8450624 DOI: 10.1098/rstb.2020.0358] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2021] [Indexed: 01/26/2023] Open
Abstract
In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions. What are the prerequisites, in terms of open data, equity and interdisciplinary collaboration, to the development and application of those tools? What effect could the technology have on global health? Who would control that technology, who would have access to it and who would benefit from it? Would it improve pandemic prevention? Could it create new challenges? This article is part of the theme issue 'Infectious disease macroecology: parasite diversity and dynamics across the globe'.
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Affiliation(s)
- Colin J. Carlson
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Maxwell J. Farrell
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada
| | - Zoe Grange
- Public Health Scotland, Glasgow G2 6QE, UK
| | - Barbara A. Han
- Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA
| | - Nardus Mollentze
- Medical Research Council, University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Alexandra L. Phelan
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
- O'Neill Institute for National and Global Health Law, Georgetown University Law Center, Washington, DC 20001, USA
| | - Angela L. Rasmussen
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Gregory F. Albery
- Department of Biology, Georgetown University, Washington, DC 20007, USA
| | - Bernard Bett
- Animal and Human Health Program, International Livestock Research Institute, PO Box 30709-00100, Nairobi, Kenya
| | - David M. Brett-Major
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA
| | - Lily E. Cohen
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tad Dallas
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70806, USA
| | - Evan A. Eskew
- Department of Biology, Pacific Lutheran University, Tacoma, WA, USA
| | - Anna C. Fagre
- Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA
| | - Kristian M. Forbes
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR 72701, USA
| | - Rory Gibb
- Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Sam Halabi
- O'Neill Institute for National and Global Health Law, Georgetown University Law Center, Washington, DC 20001, USA
| | - Charlotte C. Hammer
- Centre for the Study of Existential Risk, University of Cambridge, Cambridge, UK
| | - Rebecca Katz
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Jason Kindrachuk
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada R3E 0J9
| | - Renata L. Muylaert
- Molecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand
| | - Felicia B. Nutter
- Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA
- Department of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, MA 02111, USA
| | | | | | - Michelle Rourke
- Law Futures Centre, Griffith Law School, Griffith University, Nathan, Queensland 4111, Australia
| | - Sadie J. Ryan
- Department of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
- School of Life Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Noam Ross
- EcoHealth Alliance, New York, NY 10018, USA
| | - Stephanie N. Seifert
- Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA
| | - Tarja Sironen
- Department of Virology, University of Helsinki, Helsinki, Finland
- Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
| | - Claire J. Standley
- Center for Global Health Science and Security, Georgetown University Medical Center, Washington, DC 20007, USA
- Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Kishana Taylor
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Marietjie Venter
- Zoonotic Arbo and Respiratory Virus Program, Centre for Viral Zoonoses, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
| | - Paul W. Webala
- Department of Forestry and Wildlife Management, Maasai Mara University, Narok 20500, Kenya
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17
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Towards a more healthy conservation paradigm: integrating disease and molecular ecology to aid biological conservation †. J Genet 2021. [PMID: 33622992 PMCID: PMC7371965 DOI: 10.1007/s12041-020-01225-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Parasites, and the diseases they cause, are important from an ecological and evolutionary perspective because they can negatively affect host fitness and can regulate host populations. Consequently, conservation biology has long recognized the vital role that parasites can play in the process of species endangerment and recovery. However, we are only beginning to understand how deeply parasites are embedded in ecological systems, and there is a growing recognition of the important ways in which parasites affect ecosystem structure and function. Thus, there is an urgent need to revisit how parasites are viewed from a conservation perspective and broaden the role that disease ecology plays in conservation-related research and outcomes. This review broadly focusses on the role that disease ecology can play in biological conservation. Our review specifically emphasizes on how the integration of tools and analytical approaches associated with both disease and molecular ecology can be leveraged to aid conservation biology. Our review first concentrates on disease-mediated extinctions and wildlife epidemics. We then focus on elucidating how host–parasite interactions has improved our understanding of the eco-evolutionary dynamics affecting hosts at the individual, population, community and ecosystem scales. We believe that the role of parasites as drivers and indicators of ecosystem health is especially an exciting area of research that has the potential to fundamentally alter our view of parasites and their role in biological conservation. The review concludes with a broad overview of the current and potential applications of modern genomic tools in disease ecology to aid biological conservation.
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18
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Marotz C, Belda-Ferre P, Ali F, Das P, Huang S, Cantrell K, Jiang L, Martino C, Diner RE, Rahman G, McDonald D, Armstrong G, Kodera S, Donato S, Ecklu-Mensah G, Gottel N, Salas Garcia MC, Chiang LY, Salido RA, Shaffer JP, Bryant MK, Sanders K, Humphrey G, Ackermann G, Haiminen N, Beck KL, Kim HC, Carrieri AP, Parida L, Vázquez-Baeza Y, Torriani FJ, Knight R, Gilbert J, Sweeney DA, Allard SM. SARS-CoV-2 detection status associates with bacterial community composition in patients and the hospital environment. MICROBIOME 2021; 9:132. [PMID: 34103074 PMCID: PMC8186369 DOI: 10.1186/s40168-021-01083-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/21/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND SARS-CoV-2 is an RNA virus responsible for the coronavirus disease 2019 (COVID-19) pandemic. Viruses exist in complex microbial environments, and recent studies have revealed both synergistic and antagonistic effects of specific bacterial taxa on viral prevalence and infectivity. We set out to test whether specific bacterial communities predict SARS-CoV-2 occurrence in a hospital setting. METHODS We collected 972 samples from hospitalized patients with COVID-19, their health care providers, and hospital surfaces before, during, and after admission. We screened for SARS-CoV-2 using RT-qPCR, characterized microbial communities using 16S rRNA gene amplicon sequencing, and used these bacterial profiles to classify SARS-CoV-2 RNA detection with a random forest model. RESULTS Sixteen percent of surfaces from COVID-19 patient rooms had detectable SARS-CoV-2 RNA, although infectivity was not assessed. The highest prevalence was in floor samples next to patient beds (39%) and directly outside their rooms (29%). Although bed rail samples more closely resembled the patient microbiome compared to floor samples, SARS-CoV-2 RNA was detected less often in bed rail samples (11%). SARS-CoV-2 positive samples had higher bacterial phylogenetic diversity in both human and surface samples and higher biomass in floor samples. 16S microbial community profiles enabled high classifier accuracy for SARS-CoV-2 status in not only nares, but also forehead, stool, and floor samples. Across these distinct microbial profiles, a single amplicon sequence variant from the genus Rothia strongly predicted SARS-CoV-2 presence across sample types, with greater prevalence in positive surface and human samples, even when compared to samples from patients in other intensive care units prior to the COVID-19 pandemic. CONCLUSIONS These results contextualize the vast diversity of microbial niches where SARS-CoV-2 RNA is detected and identify specific bacterial taxa that associate with the viral RNA prevalence both in the host and hospital environment. Video Abstract.
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Affiliation(s)
- Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Farhana Ali
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Promi Das
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Kalen Cantrell
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Lingjing Jiang
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Division of Biostatistics, University of California, San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel E Diner
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - George Armstrong
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Sho Kodera
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Sonya Donato
- Microbiome Core, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gertrude Ecklu-Mensah
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Neil Gottel
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Mariana C Salas Garcia
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Leslie Y Chiang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Mac Kenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Karenina Sanders
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Niina Haiminen
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Kristen L Beck
- AI and Cognitive Software, IBM Research-Almaden, San Jose, CA, USA
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Research-Almaden, San Jose, CA, USA
| | | | - Laxmi Parida
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Francesca J Torriani
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego, CA, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jack Gilbert
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of California San Diego, La Jolla, CA, USA.
| | - Sarah M Allard
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.
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19
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Neely BA, Becker DJ, Janech MG, Fenton MB, Simmons NB, Bland AM. Surveying the Vampire Bat ( Desmodus rotundus) Serum Proteome: A Resource for Identifying Immunological Proteins and Detecting Pathogens. J Proteome Res 2021; 20:2547-2559. [PMID: 33840197 PMCID: PMC9812275 DOI: 10.1021/acs.jproteome.0c00995] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Bats are increasingly studied as model systems for longevity and as natural hosts for some virulent viruses. Yet the ability to characterize immune mechanisms of viral tolerance and to quantify infection dynamics in wild bats is often limited by small sample volumes and few species-specific reagents. Here, we demonstrate how proteomics can overcome these limitations by using data-independent acquisition-based shotgun proteomics to survey the serum proteome of 17 vampire bats (Desmodus rotundus) from Belize. Using just 2 μL of sample and relatively short separations of undepleted serum digests, we identified 361 proteins across 5 orders of magnitude. Levels of immunological proteins in vampire bat serum were then compared to human plasma via published databases. Of particular interest were antiviral and antibacterial components, circulating 20S proteasome complex and proteins involved in redox activity. Lastly, we used known virus proteomes to putatively identify Rh186 from Macacine herpesvirus 3 and ORF1a from Middle East respiratory syndrome-related coronavirus, indicating that mass spectrometry-based techniques show promise for pathogen detection. Overall, these results can be used to design targeted mass-spectrometry assays to quantify immunological markers and detect pathogens. More broadly, our findings also highlight the application of proteomics in advancing wildlife immunology and pathogen surveillance.
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Affiliation(s)
- Benjamin A. Neely
- Chemical Sciences Division, National, Institute of Standards and Technology, Charleston, South, Carolina 29412, United States
| | - Daniel J. Becker
- Department of Biology, University of, Oklahoma, Norman, Oklahoma 73019, United States
| | - Michael G. Janech
- Hollings Marine Laboratory, Charleston, South Carolina 29412, United States; Department of, Biology, College of Charleston, Charleston, South Carolina, 29424, United States
| | - M. Brock Fenton
- Department of Biology, Western University, London, Ontario N6A 3K7, Canada
| | - Nancy B. Simmons
- Department of Mammalogy, Division of, Vertebrate Zoology, American Museum of Natural History, New York 10024, United States
| | - Alison M. Bland
- Hollings Marine Laboratory, Charleston, South Carolina 29412, United States; Department of, Biology, College of Charleston, Charleston, South Carolina, 29424, United States
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20
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Gil P, Dupuy V, Koual R, Exbrayat A, Loire E, Fall AG, Gimonneau G, Biteye B, Talla Seck M, Rakotoarivony I, Marie A, Frances B, Lambert G, Reveillaud J, Balenghien T, Garros C, Albina E, Eloit M, Gutierrez S. A library preparation optimized for metagenomics of RNA viruses. Mol Ecol Resour 2021; 21:1788-1807. [PMID: 33713395 DOI: 10.1111/1755-0998.13378] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 02/23/2021] [Accepted: 02/25/2021] [Indexed: 11/28/2022]
Abstract
Our understanding of the viral communities associated to animals has not yet reached the level attained on the bacteriome. This situation is due to, among others, technical challenges in adapting metagenomics using high-throughput sequencing to the study of RNA viromes in animals. Although important developments have been achieved in most steps of viral metagenomics, there is yet a key step that has received little attention: the library preparation. This situation differs from bacteriome studies in which developments in library preparation have largely contributed to the democratisation of metagenomics. Here, we present a library preparation optimized for metagenomics of RNA viruses from insect vectors of viral diseases. The library design allows a simple PCR-based preparation, such as those routinely used in bacterial metabarcoding, that is adapted to shotgun sequencing as required in viral metagenomics. We first optimized our library preparation using mock viral communities and then validated a full metagenomic approach incorporating our preparation in two pilot studies with field-caught insect vectors; one including a comparison with a published metagenomic protocol. Our approach provided a fold increase in virus-like sequences compared to other studies, and nearly-full genomes from new virus species. Moreover, our results suggested conserved trends in virome composition within a population of a mosquito species. Finally, the sensitivity of our approach was compared to a commercial diagnostic PCR for the detection of an arbovirus in field-caught insect vectors. Our approach could facilitate studies on viral communities from animals and the democratization of metagenomics in community ecology of viruses.
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Affiliation(s)
- Patricia Gil
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Virginie Dupuy
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Rachid Koual
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Antoni Exbrayat
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Etienne Loire
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Assane G Fall
- Laboratoire National de l'Elevage et de Recherches Vétérinaires, Institut Sénégalais de Recherches Agricoles (ISRA), Dakar-Hann, Senegal
| | - Geoffrey Gimonneau
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France.,Laboratoire National de l'Elevage et de Recherches Vétérinaires, Institut Sénégalais de Recherches Agricoles (ISRA), Dakar-Hann, Senegal
| | - Biram Biteye
- Laboratoire National de l'Elevage et de Recherches Vétérinaires, Institut Sénégalais de Recherches Agricoles (ISRA), Dakar-Hann, Senegal
| | - Momar Talla Seck
- Laboratoire National de l'Elevage et de Recherches Vétérinaires, Institut Sénégalais de Recherches Agricoles (ISRA), Dakar-Hann, Senegal
| | - Ignace Rakotoarivony
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | | | | | | | - Julie Reveillaud
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France
| | - Thomas Balenghien
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Claire Garros
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Emmanuel Albina
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
| | - Marc Eloit
- Pathogen Discovery Laboratory, Institut Pasteur, Paris, France.,The OIE Collaborating Centre for Detection and Identification in Humans of Emerging Animal Pathogens, Institut Pasteur, Paris, France.,École nationale vétérinaire d'Alfort, Maisons-Alfort, France
| | - Serafin Gutierrez
- ASTRE, Cirad, INRAE, University of Montpellier, Montpellier, France.,Cirad, UMR ASTRE, Montpellier, F-34398, France
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21
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Becker DJ, Speer KA, Korstian JM, Volokhov DV, Droke HF, Brown AM, Baijnauth CL, Padgett-Stewart T, Broders HG, Plowright RK, Rainwater TR, Fenton MB, Simmons NB, Chumchal MM. Disentangling interactions among mercury, immunity and infection in a Neotropical bat community. J Appl Ecol 2021; 58:879-889. [PMID: 33911313 PMCID: PMC8078557 DOI: 10.1111/1365-2664.13809] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 12/01/2020] [Indexed: 12/13/2022]
Abstract
1. Contaminants such as mercury are pervasive and can have immunosuppressive effects on wildlife. Impaired immunity could be important for forecasting pathogen spillover, as many land-use changes that generate mercury contamination also bring wildlife into close contact with humans and domestic animals. However, the interactions among contaminants, immunity and infection are difficult to study in natural systems, and empirical tests of possible directional relationships remain rare. 2. We capitalized on extreme mercury variation in a diverse bat community in Belize to test association among contaminants, immunity and infection. By comparing a previous dataset of bats sampled in 2014 with new data from 2017, representing a period of rapid agricultural land conversion, we first confirmed bat species more reliant on aquatic prey had higher fur mercury. Bats in the agricultural habitat also had higher mercury in recent years. We then tested covariation between mercury and cellular immunity and determined if such relationships mediated associations between mercury and bacterial pathogens. As bat ecology can dictate exposure to mercury and pathogens, we also assessed species-specific patterns in mercury-infection relationships. 3. Across the bat community, individuals with higher mercury had fewer neutrophils but not lymphocytes, suggesting stronger associations with innate immunity. However, the odds of infection for haemoplasmas and Bartonella spp. were generally lowest in bats with high mercury, and relationships between mercury and immunity did not mediate infection patterns. Mercury also showed species- and clade-specific relationships with infection, being associated with especially low odds for haemoplasmas in Pteronotus mesoamericanus and Dermanura phaeotis. For Bartonella spp., mercury was associated with particularly low odds of infection in the genus Pteronotus but high odds in the subfamily Stenodermatinae. 4. Synthesis and application. Lower general infection risk in bats with high mercury despite weaker innate defense suggests contaminant-driven loss of pathogen habitat (i.e. anemia) or vector mortality as possible causes. Greater attention to these potential pathways could help disentangle relationships among contaminants, immunity and infection in anthropogenic habitats and help forecast disease risks. Our results also suggest that contaminants may increase infection risk in some taxa but not others, emphasizing the importance of considering surveillance and management at different phylogenetic scales.
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Affiliation(s)
| | - Kelly A. Speer
- Richard Gilder Graduate School, American Museum of Natural History, New York, NY, USA
- Department of Invertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
- Center for Conservation Genomics, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC, USA
| | | | - Dmitriy V. Volokhov
- Center for Biologies Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Hannah F. Droke
- Department of Global and Planetary Health, University of South Florida, Tampa, FL, USA
| | - Alexis M. Brown
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA
| | - Catherene L. Baijnauth
- Sackler Institute of Comparative Genomics, American Museum of Natural History, New York, NY, USA
| | - Ticha Padgett-Stewart
- Department of Microbiology and Immunology, Montana State University, Bozeman, MT, USA
| | - Hugh G. Broders
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | - Raina K. Plowright
- Department of Microbiology and Immunology, Montana State University, Bozeman, MT, USA
| | - Thomas R. Rainwater
- Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USA
- Baruch Institute of Coastal Ecology and Forest Science, Clemson University, Georgetown, SC, USA
- Tom Yawkey Wildlife Center, Georgetown, SC, USA
| | - M. Brock Fenton
- Department of Biology, Western University, London, ON, Canada
| | - Nancy B. Simmons
- Department of Mammalogy, Division of Vertebrate Zoology, American Museum of Natural History, New York, NY, USA
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22
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Bergner LM, Mollentze N, Orton RJ, Tello C, Broos A, Biek R, Streicker DG. Characterizing and Evaluating the Zoonotic Potential of Novel Viruses Discovered in Vampire Bats. Viruses 2021; 13:252. [PMID: 33562073 PMCID: PMC7914986 DOI: 10.3390/v13020252] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/25/2021] [Accepted: 02/03/2021] [Indexed: 12/17/2022] Open
Abstract
The contemporary surge in metagenomic sequencing has transformed knowledge of viral diversity in wildlife. However, evaluating which newly discovered viruses pose sufficient risk of infecting humans to merit detailed laboratory characterization and surveillance remains largely speculative. Machine learning algorithms have been developed to address this imbalance by ranking the relative likelihood of human infection based on viral genome sequences, but are not yet routinely applied to viruses at the time of their discovery. Here, we characterized viral genomes detected through metagenomic sequencing of feces and saliva from common vampire bats (Desmodus rotundus) and used these data as a case study in evaluating zoonotic potential using molecular sequencing data. Of 58 detected viral families, including 17 which infect mammals, the only known zoonosis detected was rabies virus; however, additional genomes were detected from the families Hepeviridae, Coronaviridae, Reoviridae, Astroviridae and Picornaviridae, all of which contain human-infecting species. In phylogenetic analyses, novel vampire bat viruses most frequently grouped with other bat viruses that are not currently known to infect humans. In agreement, machine learning models built from only phylogenetic information ranked all novel viruses similarly, yielding little insight into zoonotic potential. In contrast, genome composition-based machine learning models estimated different levels of zoonotic potential, even for closely related viruses, categorizing one out of four detected hepeviruses and two out of three picornaviruses as having high priority for further research. We highlight the value of evaluating zoonotic potential beyond ad hoc consideration of phylogeny and provide surveillance recommendations for novel viruses in a wildlife host which has frequent contact with humans and domestic animals.
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Affiliation(s)
- Laura M. Bergner
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK; (N.M.); (R.B.); (D.G.S.)
- MRC–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK; (R.J.O.); (A.B.)
| | - Nardus Mollentze
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK; (N.M.); (R.B.); (D.G.S.)
- MRC–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK; (R.J.O.); (A.B.)
| | - Richard J. Orton
- MRC–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK; (R.J.O.); (A.B.)
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, Lima 15037, Peru;
- Yunkawasi, Lima 15049, Peru
| | - Alice Broos
- MRC–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK; (R.J.O.); (A.B.)
| | - Roman Biek
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK; (N.M.); (R.B.); (D.G.S.)
| | - Daniel G. Streicker
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK; (N.M.); (R.B.); (D.G.S.)
- MRC–University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK; (R.J.O.); (A.B.)
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23
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Malmberg JL, White LA, VandeWoude S. Bioaccumulation of Pathogen Exposure in Top Predators. Trends Ecol Evol 2021; 36:411-420. [PMID: 33549372 DOI: 10.1016/j.tree.2021.01.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 01/10/2021] [Accepted: 01/14/2021] [Indexed: 12/13/2022]
Abstract
Predator-prey interactions present heightened opportunities for pathogen spillover, as predators are at risk of exposure to infectious agents harbored by prey. Epizootics with high morbidity and mortality have been recorded following prey-to-predator spillover events, which have had significant conservation implications for sensitive species. Using felids as a detailed case study, we have documented both virulent and clinically silent infections in apex predators following transfer of microbes from prey. We draw on these examples and others to examine the mechanisms that determine frequency and outcome of predator exposure to prey-based pathogens. We propose that predator-prey dynamics should be more thoroughly considered in empirical research and disease dynamic modeling approaches in order to reveal answers to outstanding questions relating to pathogen bioaccumulation.
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Affiliation(s)
- Jennifer L Malmberg
- Department of Veterinary Sciences, University of Wyoming, Wyoming State Veterinary Laboratory, Laramie, WY82070, USA.
| | - Lauren A White
- National Socio-Environmental Synthesis Center, University of Maryland, Annapolis, MD 21401, USA.
| | - Sue VandeWoude
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, 80523-1619, USA.
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24
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Bergner LM, Becker DJ, Tello C, Carrera JE, Streicker DG. Detection of Trypanosoma cruzi in the saliva of diverse neotropical bats. Zoonoses Public Health 2021; 68:271-276. [PMID: 33484236 PMCID: PMC8569697 DOI: 10.1111/zph.12808] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/20/2020] [Accepted: 12/21/2020] [Indexed: 12/13/2022]
Abstract
Trypanosoma cruzi is widely reported in bats, yet transmission routes remain unclear. We present evidence from metagenomic sequence data that T. cruzi occurs in the saliva of diverse Neotropical bats. Phylogenetic analyses demonstrated that the bat-associated T. cruzi sequences described here formed part of a bat-specific clade, suggesting an independent transmission cycle. Our results highlight the value in repurposing metagenomic data generated for viral discovery to reveal insights into the biology of other parasites. Evaluating whether the presence of T. cruzi in the saliva of two hematophagous bat species represents an ecological route for zoonotic transmission of Chagas disease is an interesting avenue for future research.
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Affiliation(s)
- Laura M Bergner
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK, USA
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, Lima, Perú.,Yunkawasi, Lima, Perú
| | - Jorge E Carrera
- Departamento de Mastozoología, Museo de Historia Natural, Universidad Nacional Mayor de San Marcos, Lima, Perú.,Programa de Conservación de Murciélagos de Perú, Piura, Perú
| | - Daniel G Streicker
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
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25
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Minich JJ, Ali F, Marotz C, Belda-Ferre P, Chiang L, Shaffer JP, Carpenter CS, McDonald D, Gilbert J, Allard SM, Allen EE, Knight R, Sweeney DA, Swafford AD. Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. MICROBIOME 2021; 9:25. [PMID: 33482920 PMCID: PMC7821463 DOI: 10.1186/s40168-020-00960-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 12/06/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND Determining the role of fomites in the transmission of SARS-CoV-2 is essential in the hospital setting and will likely be important outside of medical facilities as governments around the world make plans to ease COVID-19 public health restrictions and attempt to safely reopen economies. Expanding COVID-19 testing to include environmental surfaces would ideally be performed with inexpensive swabs that could be transported safely without concern of being a source of new infections. However, CDC-approved clinical-grade sampling supplies and techniques using a synthetic swab are expensive, potentially expose laboratory workers to viable virus and prohibit analysis of the microbiome due to the presence of antibiotics in viral transport media (VTM). To this end, we performed a series of experiments comparing the diagnostic yield using five consumer-grade swabs (including plastic and wood shafts and various head materials including cotton, synthetic, and foam) and one clinical-grade swab for inhibition to RNA. For three of these swabs, we evaluated performance to detect SARS-CoV-2 in twenty intensive care unit (ICU) hospital rooms of patients including COVID-19+ patients. All swabs were placed in 95% ethanol and further evaluated in terms of RNase activity. SARS-CoV-2 was measured both directly from the swab and from the swab eluent. RESULTS Compared to samples collected in VTM, 95% ethanol demonstrated significant inhibition properties against RNases. When extracting directly from the swab head as opposed to the eluent, RNA recovery was approximately 2-4× higher from all six swab types tested as compared to the clinical standard of testing the eluent from a CDC-approved synthetic (SYN) swab. The limit of detection (LoD) of SARS-CoV-2 from floor samples collected using the consumer-grade plastic (CGp) or research-grade plastic The Microsetta Initiative (TMI) swabs was similar or better than the SYN swab, further suggesting that swab type does not impact RNA recovery as measured by the abundance of SARS-CoV-2. The LoD for TMI was between 0 and 362.5 viral particles, while SYN and CGp were both between 725 and 1450 particles. Lastly microbiome analyses (16S rRNA gene sequencing) of paired samples (nasal and floor from same patient room) collected using different swab types in triplicate indicated that microbial communities were not impacted by swab type, but instead driven by the patient and sample type. CONCLUSIONS Compared to using a clinical-grade synthetic swab, detection of SARS-CoV-2 from environmental samples collected from ICU rooms of patients with COVID was similar using consumer-grade swabs, stored in 95% ethanol. The yield was best from the swab head rather than the eluent and the low level of RNase activity and lack of antibiotics in these samples makes it possible to perform concomitant microbiome analyses. Video abstract.
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Affiliation(s)
- Jeremiah J Minich
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Farhana Ali
- Division of Gastroenterology, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Leslie Chiang
- Division of Infectious Diseases, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Carolina S Carpenter
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jack Gilbert
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Sarah M Allard
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Eric E Allen
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, University of California San Diego, La Jolla, CA, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
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26
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Bergner LM, Orton RJ, Broos A, Tello C, Becker DJ, Carrera JE, Patel AH, Biek R, Streicker DG. Diversification of mammalian deltaviruses by host shifting. Proc Natl Acad Sci U S A 2021; 118:e2019907118. [PMID: 33397804 PMCID: PMC7826387 DOI: 10.1073/pnas.2019907118] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Hepatitis delta virus (HDV) is an unusual RNA agent that replicates using host machinery but exploits hepatitis B virus (HBV) to mobilize its spread within and between hosts. In doing so, HDV enhances the virulence of HBV. How this seemingly improbable hyperparasitic lifestyle emerged is unknown, but it underpins the likelihood that HDV and related deltaviruses may alter other host-virus interactions. Here, we show that deltaviruses diversify by transmitting between mammalian species. Among 96,695 RNA sequence datasets, deltaviruses infected bats, rodents, and an artiodactyl from the Americas but were absent from geographically overrepresented Old World representatives of each mammalian order, suggesting a relatively recent diversification within the Americas. Consistent with diversification by host shifting, both bat and rodent-infecting deltaviruses were paraphyletic, and coevolutionary modeling rejected cospeciation with mammalian hosts. In addition, a 2-y field study showed common vampire bats in Peru were infected by two divergent deltaviruses, indicating multiple introductions to a single host species. One vampire bat-associated deltavirus was detected in the saliva of up to 35% of individuals, formed phylogeographically compartmentalized clades, and infected a sympatric bat, illustrating horizontal transmission within and between species on ecological timescales. Consistent absence of HBV-like viruses in two deltavirus-infected bat species indicated acquisitions of novel viral associations during the divergence of bat and human-infecting deltaviruses. Our analyses support an American zoonotic origin of HDV and reveal prospects for future cross-species emergence of deltaviruses. Given their peculiar life history, deltavirus host shifts will have different constraints and disease outcomes compared to ordinary animal pathogens.
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Affiliation(s)
- Laura M Bergner
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, Scotland;
- Medical Research Center-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland
| | - Richard J Orton
- Medical Research Center-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland
| | - Alice Broos
- Medical Research Center-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, 15037 Lima, Perú
- Yunkawasi, 15049 Lima, Perú
| | - Daniel J Becker
- Department of Biology, University of Oklahoma, Norman, OK 73019
| | - Jorge E Carrera
- Departamento de Mastozoología, Museo de Historia Natural, Universidad Nacional Mayor de San Marcos, Lima 15081, Perú
- Programa de Conservación de Murciélagos de Perú, Piura 20001, Perú
| | - Arvind H Patel
- Medical Research Center-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland
| | - Roman Biek
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, Scotland
| | - Daniel G Streicker
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, Scotland;
- Medical Research Center-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, Scotland
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27
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Minich J, Ali F, Marotz C, Belda-Ferre P, Chiang L, Shaffer JP, Carpenter CS, McDonald D, Gilbert J, Allard SM, Allen EE, Knight R, Sweeney DA, Swafford AD. Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. RESEARCH SQUARE 2020:rs.3.rs-56028. [PMID: 36575761 PMCID: PMC9793843 DOI: 10.21203/rs.3.rs-56028/v2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Determining the role of fomites in the transmission of SARS-CoV-2 is essential in the hospital setting and will likely be important outside of medical facilities as governments around the world make plans to ease COVID-19 public health restrictions and attempt to safely reopen economies. Expanding COVID-19 testing to include environmental surfaces would ideally be performed with inexpensive swabs that could be transported safely without concern of being a source of new infections. However, CDC-approved clinical-grade sampling supplies and techniques using a synthetic swab are expensive, potentially expose laboratory workers to viable virus and prohibit analysis of the microbiome due to the presence of antibiotics in viral transport media (VTM). To this end, we performed a series of experiments comparing the diagnostic yield using five consumer-grade swabs (including plastic and wood shafts and various head materials including cotton, synthetic, and foam) and one clinical grade swab for inhibition to RNA. For three of these swabs, we evaluated performance to detect SARS-CoV-2 in twenty intensive care unit (ICU) hospital rooms of patients including COVID-19+ patients. All swabs were placed in 95% ethanol and further evaluated in terms of RNase activity. SARS-CoV-2 was measured both directly from the swab and from the swab eluent. Results Compared to samples collected in VTM, 95% ethanol demonstrated significant inhibition properties against RNases. When extracting directly from the swab head as opposed to the eluent, RNA recovery was approximately 2-4x higher from all six swab types tested as compared to the clinical standard of testing the eluent from a CDC-approved synthetic (SYN) swab. The limit of detection (LoD) of SARSSARS-CoV-2 from floor samples collected using the consumer-grade plastic (CGp) or research-grade plastic The Microsetta Initiative (TMI) swabs was similar or better than the SYN swab, further suggesting that swab type does not impact RNA recovery as measured by the abundance of SARSSARS-CoV-2. The LoD for TMI was between 0-362.5 viral particles while SYN and CGp were both between 725-1450 particles. Lastly microbiome analyses (16S rRNA gene sequencing) of paired samples (nasal and floor from same patient-room) collected using different swab types in triplicate indicated that microbial communities were not impacted by swab type, but instead driven by the patient and sample type. Conclusions Compared to using a clinical-grade synthetic swab, detection of SARS-CoV-2 from environmental samples collected from ICU rooms of patients with COVID was similar using consumer grade swabs, stored in 95% ethanol. The yield was best from the swab head rather than the eluent and the low level of RNase activity and lack of antibiotics in these samples makes it possible to perform concomitant microbiome analyses.
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Affiliation(s)
- Jeremiah Minich
- University of California San Diego Scripps Institution of Oceanography
| | | | | | | | | | | | | | | | | | | | - Eric E Allen
- University of California San Diego Scripps Institution of Oceanography
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28
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Minich J, Ali F, Marotz C, Belda-Ferre P, Chiang L, Shaffer JP, Carpenter CS, McDonald D, Gilbert J, Allard SM, Allen EE, Knight R, Sweeney DA, Swafford AD. Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. RESEARCH SQUARE 2020:rs.3.rs-56028. [PMID: 32839765 PMCID: PMC7444291 DOI: 10.21203/rs.3.rs-56028/v1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background Determining the role of fomites in the transmission of SARS-CoV-2 is essential in the hospital setting and will likely be important outside of medical facilities as governments around the world make plans to ease COVID-19 public health restrictions and attempt to safely reopen economies. Expanding COVID-19 testing to include environmental surfaces would ideally be performed with inexpensive swabs that could be transported safely without concern of being a source of new infections. However, CDC-approved clinical-grade sampling supplies and techniques using a synthetic swab are expensive, potentially expose laboratory workers to viable virus and prohibit analysis of the microbiome due to the presence of antibiotics in viral transport media (VTM). To this end, we performed a series of experiments comparing the diagnostic yield using five consumer-grade swabs (including plastic and wood shafts and various head materials including cotton, synthetic, and foam) and one clinical grade swab for inhibition to RNA. For three of these swabs, we evaluated performance to detect SARS-CoV-2 in twenty intensive care unit (ICU) hospital rooms of patients including COVID-19+ patients. All swabs were placed in 95% ethanol and further evaluated in terms of RNase activity. SARS-CoV-2 was measured both directly from the swab and from the swab eluent. Results Compared to samples collected in VTM, 95% ethanol demonstrated significant inhibition properties against RNases. When extracting directly from the swab head as opposed to the eluent, RNA recovery was approximately 2-4x higher from all six swab types tested as compared to the clinical standard of testing the eluent from a CDC-approved synthetic (SYN) swab. The limit of detection (LoD) of SARSSARS-CoV-2 from floor samples collected using the consumer-grade plastic (CGp) or research-grade plastic The Microsetta Initiative (TMI) swabs was similar or better than the SYN swab, further suggesting that swab type does not impact RNA recovery as measured by the abundance of SARSSARS-CoV-2. The LoD for TMI was between 0-362.5 viral particles while SYN and CGp were both between 725-1450 particles. Lastly microbiome analyses (16S rRNA gene sequencing) of paired samples (nasal and floor from same patient-room) collected using different swab types in triplicate indicated that microbial communities were not impacted by swab type, but instead driven by the patient and sample type. Conclusions Compared to using a clinical-grade synthetic swab, detection of SARS-CoV-2 from environmental samples collected from ICU rooms of patients with COVID was similar using consumer grade swabs, stored in 95% ethanol. The yield was best from the swab head rather than the eluent and the low level of RNase activity and lack of antibiotics in these samples makes it possible to perform concomitant microbiome analyses.
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Affiliation(s)
- Jeremiah Minich
- University of California San Diego Scripps Institution of Oceanography
| | | | | | | | | | | | | | | | | | | | - Eric E Allen
- University of California San Diego Scripps Institution of Oceanography
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29
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Griffiths ME, Bergner LM, Broos A, Meza DK, Filipe ADS, Davison A, Tello C, Becker DJ, Streicker DG. Epidemiology and biology of a herpesvirus in rabies endemic vampire bat populations. Nat Commun 2020; 11:5951. [PMID: 33230120 PMCID: PMC7683562 DOI: 10.1038/s41467-020-19832-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 11/02/2020] [Indexed: 12/20/2022] Open
Abstract
Rabies is a viral zoonosis transmitted by vampire bats across Latin America. Substantial public health and agricultural burdens remain, despite decades of bats culls and livestock vaccinations. Virally vectored vaccines that spread autonomously through bat populations are a theoretically appealing solution to managing rabies in its reservoir host. We investigate the biological and epidemiological suitability of a vampire bat betaherpesvirus (DrBHV) to act as a vaccine vector. In 25 sites across Peru with serological and/or molecular evidence of rabies circulation, DrBHV infects 80-100% of bats, suggesting potential for high population-level vaccine coverage. Phylogenetic analysis reveals host specificity within neotropical bats, limiting risks to non-target species. Finally, deep sequencing illustrates DrBHV super-infections in individual bats, implying that DrBHV-vectored vaccines might invade despite the highly prevalent wild-type virus. These results indicate DrBHV as a promising candidate vector for a transmissible rabies vaccine, and provide a framework to discover and evaluate candidate viral vectors for vaccines against bat-borne zoonoses.
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Affiliation(s)
- Megan E Griffiths
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
| | - Laura M Bergner
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Alice Broos
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Diana K Meza
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | | | - Andrew Davison
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, Lima, Perú
- Yunkawasi, Lima, Perú
| | - Daniel J Becker
- Department of Biology, Indiana University, Bloomington, IN, USA
| | - Daniel G Streicker
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
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30
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Marotz C, Belda-Ferre P, Ali F, Das P, Huang S, Cantrell K, Jiang L, Martino C, Diner RE, Rahman G, McDonald D, Armstrong G, Kodera S, Donato S, Ecklu-Mensah G, Gottel N, Garcia MCS, Chiang LY, Salido RA, Shaffer JP, Bryant M, Sanders K, Humphrey G, Ackermann G, Haiminen N, Beck KL, Kim HC, Carrieri AP, Parida L, Vázquez-Baeza Y, Torriani FJ, Knight R, Gilbert JA, Sweeney DA, Allard SM. Microbial context predicts SARS-CoV-2 prevalence in patients and the hospital built environment. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.11.19.20234229. [PMID: 33236030 PMCID: PMC7685343 DOI: 10.1101/2020.11.19.20234229] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Synergistic effects of bacteria on viral stability and transmission are widely documented but remain unclear in the context of SARS-CoV-2. We collected 972 samples from hospitalized ICU patients with coronavirus disease 2019 (COVID-19), their health care providers, and hospital surfaces before, during, and after admission. We screened for SARS-CoV-2 using RT-qPCR, characterized microbial communities using 16S rRNA gene amplicon sequencing, and contextualized the massive microbial diversity in this dataset in a meta-analysis of over 20,000 samples. Sixteen percent of surfaces from COVID-19 patient rooms were positive, with the highest prevalence in floor samples next to patient beds (39%) and directly outside their rooms (29%). Although bed rail samples increasingly resembled the patient microbiome throughout their stay, SARS-CoV-2 was less frequently detected there (11%). Despite surface contamination in almost all patient rooms, no health care workers providing COVID-19 patient care contracted the disease. SARS-CoV-2 positive samples had higher bacterial phylogenetic diversity across human and surface samples, and higher biomass in floor samples. 16S microbial community profiles allowed for high classifier accuracy for SARS-CoV-2 status in not only nares, but also forehead, stool and floor samples. Across these distinct microbial profiles, a single amplicon sequence variant from the genus Rothia was highly predictive of SARS-CoV-2 across sample types, and had higher prevalence in positive surface and human samples, even when comparing to samples from patients in another intensive care unit prior to the COVID-19 pandemic. These results suggest that bacterial communities contribute to viral prevalence both in the host and hospital environment.
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Affiliation(s)
- Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Farhana Ali
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Promi Das
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Kalen Cantrell
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Lingjing Jiang
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Division of Biostatistics, University of California, San Diego, La Jolla, California, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Rachel E Diner
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - George Armstrong
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Sho Kodera
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Sonya Donato
- Microbiome Core, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gertrude Ecklu-Mensah
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Neil Gottel
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Mariana C Salas Garcia
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Leslie Y Chiang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Rodolfo A Salido
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Karenina Sanders
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Greg Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Niina Haiminen
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Kristen L Beck
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | | | - Laxmi Parida
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Francesca J Torriani
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego CA, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Jack A Gilbert
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of California San Diego, La Jolla, California, USA
| | - Sarah M Allard
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
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31
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Complete Genome Sequence of an Alphacoronavirus from Common Vampire Bats in Peru. Microbiol Resour Announc 2020; 9:9/34/e00742-20. [PMID: 32816981 PMCID: PMC7441239 DOI: 10.1128/mra.00742-20] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Bats host diverse coronaviruses, including taxa capable of pandemic spread in humans. We report the genome of an alphacoronavirus from a neotropical bat species (Desmodus rotundus) in Peru, which contributes to our understanding of bat coronaviruses in nature. Bats host diverse coronaviruses, including taxa capable of pandemic spread in humans. We report the genome of an alphacoronavirus from a neotropical bat species (Desmodus rotundus) in Peru, which contributes to our understanding of bat coronaviruses in nature.
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32
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Minich JJ, Ali F, Marotz C, Belda-Ferre P, Chiang L, Shaffer JP, Carpenter CS, McDonald D, Gilbert JA, Allard SM, Allen EE, Knight R, Sweeney DA, Swafford AD. Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020. [PMID: 32511552 DOI: 10.1101/2020.05.12.20073577] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background Determining the role of fomites in the transmission of SARS-CoV-2 is essential in the hospital setting and will likely be important outside of medical facilities as governments around the world make plans to ease COVID-19 public health restrictions and attempt to safely reopen economies. Expanding COVID-19 testing to include environmental surfaces would ideally be performed with inexpensive swabs that could be transported safely without concern of being a source of new infections. However, CDC-approved clinical-grade sampling supplies and techniques using a synthetic swab are expensive, potentially expose laboratory workers to viable virus and prohibit analysis of the microbiome due to the presence of antibiotics in viral transport media (VTM). To this end, we performed a series of experiments comparing the diagnostic yield using five consumer-grade swabs (including plastic and wood shafts and various head materials including cotton, synthetic, and foam) and one clinical grade swab for inhibition to RNA. For three of these swabs, we evaluated performance to detect SARS-CoV-2 in twenty intensive care unit (ICU) hospital rooms of patients with 16 COVID-19+. All swabs were placed in 95% ethanol and further evaluated in terms of RNase activity. SARS-CoV-2 was measured both directly from the swab and from the swab eluent. Results Compared to samples collected in VTM, 95% ethanol demonstrated significant inhibition properties against RNases. When extracting directly from the swab head as opposed to the eluent, RNA recovery was approximately 2-4x higher from all six swab types tested as compared to the clinical standard of testing the eluent from a CDC-approved synthetic swab. The limit of detection (LoD) of SARs-CoV-2 from floor samples collected using the CGp or TMI swabs was similar or better than the CDC standard, further suggesting that swab type does not impact RNA recovery as measured by SARs-CoV-2. The LoD for TMI was between 0-362.5 viral particles while SYN and CGp were both between 725-1450 particles. Lastly microbiome analyses (16S rRNA) of paired samples (e.g., environment to host) collected using different swab types in triplicate indicated that microbial communities were not impacted by swab type but instead driven by the patient and sample type (floor or nasal). Conclusions Compared to using a clinical-grade synthetic swab, detection of SARS-CoV-2 from environmental samples collected from ICU rooms of patients with COVID was similar using consumer grade swabs, stored in 95% ethanol. The yield was best from the swab head rather than the eluent and the low level of RNase activity in these samples makes it possible to perform concomitant microbiome analysis. Keywords: COVID-19, SARS-CoV-2, RT-qPCR, swab, global health.
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33
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Becker DJ, Nachtmann C, Argibay HD, Botto G, Escalera-Zamudio M, Carrera JE, Tello C, Winiarski E, Greenwood AD, Méndez-Ojeda ML, Loza-Rubio E, Lavergne A, de Thoisy B, Czirják GÁ, Plowright RK, Altizer S, Streicker DG. Leukocyte Profiles Reflect Geographic Range Limits in a Widespread Neotropical Bat. Integr Comp Biol 2020; 59:1176-1189. [PMID: 30873523 PMCID: PMC6907035 DOI: 10.1093/icb/icz007] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Quantifying how the environment shapes host immune defense is important for understanding which wild populations may be more susceptible or resistant to pathogens. Spatial variation in parasite risk, food and predator abundance, and abiotic conditions can each affect immunity, and these factors can also manifest at both local and biogeographic scales. Yet identifying predictors and the spatial scale of their effects is limited by the rarity of studies that measure immunity across many populations of broadly distributed species. We analyzed leukocyte profiles from 39 wild populations of the common vampire bat (Desmodus rotundus) across its wide geographic range throughout the Neotropics. White blood cell differentials varied spatially, with proportions of neutrophils and lymphocytes varying up to six-fold across sites. Leukocyte profiles were spatially autocorrelated at small and very large distances, suggesting that local environment and large-scale biogeographic factors influence cellular immunity. Generalized additive models showed that bat populations closer to the northern and southern limits of the species range had more neutrophils, monocytes, and basophils, but fewer lymphocytes and eosinophils, than bats sampled at the core of their distribution. Habitats with access to more livestock also showed similar patterns in leukocyte profiles, but large-scale patterns were partly confounded by time between capture and sampling across sites. Our findings suggest that populations at the edge of their range experience physiologically limiting conditions that predict higher chronic stress and greater investment in cellular innate immunity. High food abundance in livestock-dense habitats may exacerbate such conditions by increasing bat density or diet homogenization, although future spatially and temporally coordinated field studies with common protocols are needed to limit sampling artifacts. Systematically assessing immune function and response over space will elucidate how environmental conditions influence traits relevant to epidemiology and help predict disease risks with anthropogenic disturbance, land conversion, and climate change.
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Affiliation(s)
- Daniel J Becker
- Odum School of Ecology, University of Georgia, Athens, GA 30602, USA.,Center for the Ecology of Infectious Disease, University of Georgia, Athens, GA 30602, USA.,Department of Biology, Indiana University, Bloomington, IN 47405, USA
| | - Cecilia Nachtmann
- Odum School of Ecology, University of Georgia, Athens, GA 30602, USA
| | - Hernan D Argibay
- Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina
| | - Germán Botto
- Department of Microbiology and Immunology, Montana State University, Bozeman, MT 59715, USA.,Departamento de Metodos Cuantitativos, Facultad de Medicina, Universidad de la República, Montevideo 11800, Uruguay
| | - Marina Escalera-Zamudio
- Department of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany.,Department of Zoology, University of Oxford, Oxford OX1 3SY, UK
| | - Jorge E Carrera
- Facultad de Ciencias, Universidad Nacional de Piura, Piura 20009, Peru.,Programa de Conservación de Murciélagos de Perú, Piura Lima-1, Peru
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, Lima 15037, Peru.,Yunkawasi, Lima 15049, Peru
| | - Erik Winiarski
- Departamento de Histología, Facultad de Medicina, Universidad de la República, Montevideo 11800, Uruguay
| | - Alex D Greenwood
- Department of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany.,Department of Veterinary Medicine, Freie Universität Berlin, Berlin 14163, Germany
| | - Maria L Méndez-Ojeda
- Facultad de Medicina Veterinaria y Zootecnia, Universidad Veracruzana, Veracruz 91710, Mexico
| | - Elizabeth Loza-Rubio
- Centro Nacional de Investigación Disciplinaria en Microbiología Animal, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Mexico City 05110, Mexico
| | - Anne Lavergne
- Laboratoire des Interactions Virus-Hôtes, Institut Pasteur de la Guyane, Cayenne, French Guiana F-97300, France
| | - Benoit de Thoisy
- Laboratoire des Interactions Virus-Hôtes, Institut Pasteur de la Guyane, Cayenne, French Guiana F-97300, France
| | - Gábor Á Czirják
- Department of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany
| | - Raina K Plowright
- Department of Microbiology and Immunology, Montana State University, Bozeman, MT 59715, USA
| | - Sonia Altizer
- Odum School of Ecology, University of Georgia, Athens, GA 30602, USA.,Center for the Ecology of Infectious Disease, University of Georgia, Athens, GA 30602, USA
| | - Daniel G Streicker
- Odum School of Ecology, University of Georgia, Athens, GA 30602, USA.,Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow G61 1QH, UK
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34
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Becker DJ, Albery GF, Kessler MK, Lunn TJ, Falvo CA, Czirják GÁ, Martin LB, Plowright RK. Macroimmunology: The drivers and consequences of spatial patterns in wildlife immune defence. J Anim Ecol 2020; 89:972-995. [PMID: 31856309 DOI: 10.1111/1365-2656.13166] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 11/06/2019] [Indexed: 01/26/2023]
Abstract
The prevalence and intensity of parasites in wild hosts varies across space and is a key determinant of infection risk in humans, domestic animals and threatened wildlife. Because the immune system serves as the primary barrier to infection, replication and transmission following exposure, we here consider the environmental drivers of immunity. Spatial variation in parasite pressure, abiotic and biotic conditions, and anthropogenic factors can all shape immunity across spatial scales. Identifying the most important spatial drivers of immunity could help pre-empt infectious disease risks, especially in the context of how large-scale factors such as urbanization affect defence by changing environmental conditions. We provide a synthesis of how to apply macroecological approaches to the study of ecoimmunology (i.e. macroimmunology). We first review spatial factors that could generate spatial variation in defence, highlighting the need for large-scale studies that can differentiate competing environmental predictors of immunity and detailing contexts where this approach might be favoured over small-scale experimental studies. We next conduct a systematic review of the literature to assess the frequency of spatial studies and to classify them according to taxa, immune measures, spatial replication and extent, and statistical methods. We review 210 ecoimmunology studies sampling multiple host populations. We show that whereas spatial approaches are relatively common, spatial replication is generally low and unlikely to provide sufficient environmental variation or power to differentiate competing spatial hypotheses. We also highlight statistical biases in macroimmunology, in that few studies characterize and account for spatial dependence statistically, potentially affecting inferences for the relationships between environmental conditions and immune defence. We use these findings to describe tools from geostatistics and spatial modelling that can improve inference about the associations between environmental and immunological variation. In particular, we emphasize exploratory tools that can guide spatial sampling and highlight the need for greater use of mixed-effects models that account for spatial variability while also allowing researchers to account for both individual- and habitat-level covariates. We finally discuss future research priorities for macroimmunology, including focusing on latitudinal gradients, range expansions and urbanization as being especially amenable to large-scale spatial approaches. Methodologically, we highlight critical opportunities posed by assessing spatial variation in host tolerance, using metagenomics to quantify spatial variation in parasite pressure, coupling large-scale field studies with small-scale field experiments and longitudinal approaches, and applying statistical tools from macroecology and meta-analysis to identify generalizable spatial patterns. Such work will facilitate scaling ecoimmunology from individual- to habitat-level insights about the drivers of immune defence and help predict where environmental change may most alter infectious disease risk.
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Affiliation(s)
- Daniel J Becker
- Department of Biology, Indiana University, Bloomington, IN, USA.,Center for the Ecology of Infectious Disease, University of Georgia, Athens, GA, USA
| | - Gregory F Albery
- Department of Biology, Georgetown University, Washington, DC, USA
| | | | - Tamika J Lunn
- Environmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia
| | - Caylee A Falvo
- Department of Microbiology and Immunology, Montana State University, Bozeman, MT, USA
| | - Gábor Á Czirják
- Department of Wildlife Diseases, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
| | - Lynn B Martin
- Department of Global and Planetary Health, University of South Florida, Tampa, FL, USA
| | - Raina K Plowright
- Department of Microbiology and Immunology, Montana State University, Bozeman, MT, USA
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35
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Narum S, Kelley J, Sibbett B. Editorial 2020. Mol Ecol Resour 2020; 20:1-7. [DOI: 10.1111/1755-0998.13125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 12/09/2019] [Indexed: 11/29/2022]
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36
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Gupta P, Robin VV, Dharmarajan G. Towards a more healthy conservation paradigm: integrating disease and molecular ecology to aid biological conservation †. J Genet 2020; 99:65. [PMID: 33622992 PMCID: PMC7371965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 04/23/2020] [Accepted: 05/25/2020] [Indexed: 08/23/2024]
Abstract
Parasites, and the diseases they cause, are important from an ecological and evolutionary perspective because they can negatively affect host fitness and can regulate host populations. Consequently, conservation biology has long recognized the vital role that parasites can play in the process of species endangerment and recovery. However, we are only beginning to understand how deeply parasites are embedded in ecological systems, and there is a growing recognition of the important ways in which parasites affect ecosystem structure and function. Thus, there is an urgent need to revisit how parasites are viewed from a conservation perspective and broaden the role that disease ecology plays in conservation-related research and outcomes. This review broadly focusses on the role that disease ecology can play in biological conservation. Our review specifically emphasizes on how the integration of tools and analytical approaches associated with both disease and molecular ecology can be leveraged to aid conservation biology. Our review first concentrates on disease mediated extinctions and wildlife epidemics. We then focus on elucidating how host-parasite interactions has improved our understanding of the eco-evolutionary dynamics affecting hosts at the individual, population, community and ecosystem scales. We believe that the role of parasites as drivers and indicators of ecosystem health is especially an exciting area of research that has the potential to fundamentally alter our view of parasites and their role in biological conservation. The review concludes with a broad overview of the current and potential applications of modern genomic tools in disease ecology to aid biological conservation.
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Affiliation(s)
- Pooja Gupta
- Savannah River Ecology Laboratory, University of Georgia, PO Drawer E, Aiken, SC 29801, USA.
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37
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Bakker KM, Rocke TE, Osorio JE, Abbott RC, Tello C, Carrera J, Valderrama W, Shiva C, Falcon N, Streicker DG. Fluorescent biomarkers demonstrate prospects for spreadable vaccines to control disease transmission in wild bats. Nat Ecol Evol 2019; 3:1697-1704. [PMID: 31740844 PMCID: PMC6887541 DOI: 10.1038/s41559-019-1032-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 10/09/2019] [Indexed: 12/16/2022]
Abstract
Vaccines that autonomously transfer among individuals have been proposed as a strategy to control infectious diseases within inaccessible wildlife populations. However, rates of vaccine spread and epidemiological efficacy in real-world systems remain elusive. Here, we investigate whether topical vaccines that transfer among individuals through social contacts can control vampire bat rabies-a medically and economically important zoonosis in Latin America. Field experiments in three Peruvian bat colonies, which used fluorescent biomarkers as a proxy for the bat-to-bat transfer and ingestion of an oral vaccine, revealed that vaccine transfer would increase population-level immunity up to 2.6 times beyond the same effort using conventional, non-spreadable vaccines. Mathematical models showed that observed levels of vaccine transfer would reduce the probability, size and duration of rabies outbreaks, even at low but realistically achievable levels of vaccine application. Models further predicted that existing vaccines provide substantial advantages over culling bats-the policy currently implemented in North, Central and South America. Linking field studies with biomarkers to mathematical models can inform how spreadable vaccines may combat pathogens of health and conservation concern before costly investments in vaccine design and testing.
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Affiliation(s)
- Kevin M. Bakker
- Institute of Biodiversity, Animal Health and Comparative Medicine,
College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow,
UK
- Department of Statistics, University of Michigan, Ann Arbor,
Michigan, USA
| | - Tonie E. Rocke
- U.S. Geological Survey, National Wildlife Health Center, Madison,
Wisconsin, USA
| | - Jorge E. Osorio
- Department of Pathobiological Sciences, School of Veterinary
Medicine, University of Wisconsin - Madison, Madison, Wisconsin, USA
| | - Rachel C. Abbott
- U.S. Geological Survey, National Wildlife Health Center, Madison,
Wisconsin, USA
| | - Carlos Tello
- ILLARIY, Asociación para el Desarrollo y Conservación
de los Recursos Naturales Lima, Peru
| | - Jorge Carrera
- Facultad de Ciencias, Universidad Nacional de Piura, Piura,
Peru
| | - William Valderrama
- ILLARIY, Asociación para el Desarrollo y Conservación
de los Recursos Naturales Lima, Peru
- Universidad Autonoma de Barcelona, Barcelona, Spain
| | - Carlos Shiva
- Faculty of Veterinary Medicine and Zootechnics, Universidad Peruana
Cayetano, Lima, Peru
| | - Nestor Falcon
- Faculty of Veterinary Medicine and Zootechnics, Universidad Peruana
Cayetano, Lima, Peru
| | - Daniel G. Streicker
- Institute of Biodiversity, Animal Health and Comparative Medicine,
College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow,
UK
- Medical Research Centre – University of Glasgow Centre for
Virus Research, Glasgow, UK
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38
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A batty concept goes viral. Nat Ecol Evol 2019; 3:1620-1621. [DOI: 10.1038/s41559-019-1045-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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39
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Di Francesco CE, Smoglica C, Paoletti B, Angelucci S, Innocenti M, Antonucci A, Di Domenico G, Marsilio F. Detection of selected pathogens in Apennine wolf ( Canis lupus italicus) by a non-invasive GPS-based telemetry sampling of two packs from Majella National Park, Italy. EUR J WILDLIFE RES 2019; 65:84. [PMID: 32214950 PMCID: PMC7088344 DOI: 10.1007/s10344-019-1326-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/18/2019] [Accepted: 09/21/2019] [Indexed: 11/25/2022]
Abstract
In this study, a multi-pathogens survey was conducted to verify the sanitary status of two Italian wolf packs of Majella National Park. Twenty fecal samples (10/pack) were collected using a sampling protocol, based on the combining data from radio-collared wolves with geographic information system (GIS) analysis, allowing to mark off the home range of packs and to recover group-specific and high-quality specimens. Virological screening against the most prevalent canine viruses (protoparvovirus, distemper virus, adenoviruses, and coronaviruses) was carried out by molecular methods, while parasites were detected by means of copromicroscopic and molecular analysis. Canine parvovirus type 2b (CPV-2b) is the most prevalent virus in both packs (7/20), followed by canine adenovirus type 2 (CAdV-2), while no sequences of canine distemper virus and coronaviruses were detected. The sequence analysis of the viruses demonstrated the domestic origin of the infection, highlighting the importance of vaccination of local dogs in order to reduce the risk of exposure of wildlife to these pathogens. Fourteen samples resulted positive for parasites. Capillaria aerophila (sin. Eucoleus aerophilus), Ancylostoma/Uncinaria, Trichuris vulpis eggs, Sarcocystis spp., Cystoisospora canis, and Angiostrongylus vasorum larvae were identified. Echinococcus granulosus sensu stricto (ovine genotype G1) and Giardia duodenalis(canid-specific Assemblage C) were also characterized, providing insights into the wolves' diet and their effects on environmental contamination. The sampling protocol applied in this study, based on a multidisciplinary approach, represents an innovative tool for the survey of Apennine wolf, able to integrate sanitary data with the ecological and demographic features of this population.
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Affiliation(s)
- Cristina E Di Francesco
- 1Faculty of Veterinary Medicine, University of Teramo, Loc. Piano D'Accio, 64100 Teramo, Italy
| | - Camilla Smoglica
- 1Faculty of Veterinary Medicine, University of Teramo, Loc. Piano D'Accio, 64100 Teramo, Italy
| | - Barbara Paoletti
- 1Faculty of Veterinary Medicine, University of Teramo, Loc. Piano D'Accio, 64100 Teramo, Italy
| | | | | | | | | | - Fulvio Marsilio
- 1Faculty of Veterinary Medicine, University of Teramo, Loc. Piano D'Accio, 64100 Teramo, Italy
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40
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Bergner LM, Orton RJ, Benavides JA, Becker DJ, Tello C, Biek R, Streicker DG. Demographic and environmental drivers of metagenomic viral diversity in vampire bats. Mol Ecol 2019; 29:26-39. [PMID: 31561274 PMCID: PMC7004108 DOI: 10.1111/mec.15250] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 09/17/2019] [Indexed: 01/09/2023]
Abstract
Viruses infect all forms of life and play critical roles as agents of disease, drivers of biochemical cycles and sources of genetic diversity for their hosts. Our understanding of viral diversity derives primarily from comparisons among host species, precluding insight into how intraspecific variation in host ecology affects viral communities or how predictable viral communities are across populations. Here we test spatial, demographic and environmental hypotheses explaining viral richness and community composition across populations of common vampire bats, which occur in diverse habitats of North, Central and South America. We demonstrate marked variation in viral communities that was not consistently predicted by a null model of declining community similarity with increasing spatial or genetic distances separating populations. We also find no evidence that larger bat colonies host greater viral diversity. Instead, viral diversity follows an elevational gradient, is enriched by juvenile-biased age structure, and declines with local anthropogenic food resources as measured by livestock density. Our results establish the value of linking the modern influx of metagenomic sequence data with comparative ecology, reveal that snapshot views of viral diversity are unlikely to be representative at the species level, and affirm existing ecological theories that link host ecology not only to single pathogen dynamics but also to viral communities.
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Affiliation(s)
- Laura M Bergner
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Richard J Orton
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Julio A Benavides
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.,Departamento de Ecología, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile.,Centro de Investigación para la Sustentabilidad, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile
| | - Daniel J Becker
- Odum School of Ecology, University of Georgia, Athens, GA, USA.,Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA.,Department of Biology, Indiana University, Bloomington, IN, USA
| | - Carlos Tello
- Association for the Conservation and Development of Natural Resources, Lima, Peru.,Yunkawasi, Lima, Peru
| | - Roman Biek
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Daniel G Streicker
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
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41
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Becker DJ, Schultz EM, Atwell JW, Ketterson ED. Urban residency and leukocyte profiles in a traditionally migratory songbird. ANIMAL MIGRATION 2019. [DOI: 10.1515/ami-2019-0002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Many animals are shifting migrations in response to human activities. In particular, human-induced changes to climate and habitat (e.g., urbanization) likely facilitate animals becoming year-round residents. Because migration can be energetically expensive, shifts to sedentary behavior could minimize energetic demands incurred and any immunosuppressive effects. Residency in urban habitats could also provide abundant resources and allow sedentary animals to invest more in immunity. However, urban habitats could also expose sedentary animals to novel stressors that counter such benefits. To examine how recent shifts to residency affects physiology in ways that may shape infectious disease dynamics, we analyzed leukocyte profiles of two dark-eyed junco (Junco hyemalis) populations from southern California: the Laguna Mountain population, in which birds breed in high-elevation forests and migrate altitudinally, and the urban University of California San Diego population, which was likely established by overwintering migrants in the 1980s and has since become non-migratory. Over a two-year study of each population’s breeding season, we found no difference in the ratios of heterophils to lymphocytes between populations. However, urban residents had more leukocytes than birds from the altitudinal migrant population. A multivariate analysis suggested urban residents had fewer monocytes, but effect sizes were small. These results suggest no differences in energy demands or stressors between urban resident and altitudinal migrant populations during their breeding season. However, urban residency may confer immunological benefits through anthropogenic resources, which could have important consequences for disease dynamics..
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Bergner LM, Orton RJ, da Silva Filipe A, Shaw AE, Becker DJ, Tello C, Biek R, Streicker DG. Using noninvasive metagenomics to characterize viral communities from wildlife. Mol Ecol Resour 2018; 19:128-143. [PMID: 30240114 PMCID: PMC6378809 DOI: 10.1111/1755-0998.12946] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 08/22/2018] [Accepted: 09/07/2018] [Indexed: 12/31/2022]
Abstract
Microbial communities play an important role in organismal and ecosystem health. While high-throughput metabarcoding has revolutionized the study of bacterial communities, generating comparable viral communities has proven elusive, particularly in wildlife samples where the diversity of viruses and limited quantities of viral nucleic acid present distinctive challenges. Metagenomic sequencing is a promising solution for studying viral communities, but the lack of standardized methods currently precludes comparisons across host taxa or localities. Here, we developed an untargeted shotgun metagenomic sequencing protocol to generate comparable viral communities from noninvasively collected faecal and oropharyngeal swabs. Using samples from common vampire bats (Desmodus rotundus), a key species for virus transmission to humans and domestic animals, we tested how different storage media, nucleic acid extraction procedures and enrichment steps affect viral community detection. Based on finding viral contamination in foetal bovine serum, we recommend storing swabs in RNAlater or another nonbiological medium. We recommend extracting nucleic acid directly from swabs rather than from supernatant or pelleted material, which had undetectable levels of viral RNA. Results from a low-input RNA library preparation protocol suggest that ribosomal RNA depletion and light DNase treatment reduce host and bacterial nucleic acid, and improve virus detection. Finally, applying our approach to twelve pooled samples from seven localities in Peru, we showed that detected viral communities saturated at the attained sequencing depth, allowing unbiased comparisons of viral community composition. Future studies using the methods outlined here will elucidate the determinants of viral communities across host species, environments and time.
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Affiliation(s)
- Laura M Bergner
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Richard J Orton
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | | | - Andrew E Shaw
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Daniel J Becker
- Odum School of Ecology, University of Georgia, Athens, Georgia.,Center for the Ecology of Infectious Diseases, University of Georgia, Athens, Georgia.,Department of Microbiology and Immunology, Montana State University, Bozeman, Montana
| | - Carlos Tello
- Association for the Conservation, Development of Natural Resources, Lima, Peru.,Yunkawasi, Lima, Peru
| | - Roman Biek
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK
| | - Daniel G Streicker
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.,MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
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