Adrian Allen , Siobhán Porter , David McCleery , Purnika Damindi Ranasinghe , Ryan Devaney , Tara Ardis , Maggie Lyons , Donald Whiteside , Christopher Corrigan , Carl McCormick , Eleanor Presho , Clare Holmes , Jim McCarthy , Dale Decena , Michael Doyle , Josh Montgomery , Sophie Redpath , Suzan Thompson , Lorraine Wright , Kerri Jones , Robin Skuce
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引用次数: 0
Abstract
Mycobacterium bovis, the causative agent of animal tuberculosis, exhibits a broad host range - infecting, inducing pathology and transmitting from both bovine and wildlife hosts. Considerable effort has been extended to understanding the role wildlife may play in persistence and spread of infection.
Infected cervids can spread infection to conspecifics and sympatric livestock as observed in the white-tailed deer (Odocoileus virginanus) population of Michigan, USA. However, in other territories, there is debate about whether cervids act as maintenance or spillover hosts, with ecological contexts such as deer density and proximity to livestock likely to be key determinants. In Ireland, sika deer (Cervus nippon) populations in County Wicklow have been proposed to act as maintenance hosts, an observation at odds with the view that elsewhere on the island they are primarily spillover hosts.
In Northern Ireland, policy makers sought to understand the role cervids may be playing in the epidemiology of animal TB. A province wide cull of 522 deer, undertaken from 2019 to 2023, yielded 13 culture confirmed M. bovis isolates (animal prevalence 2.5 %). These were subjected to whole genome sequencing, alongside a further four archived isolates from deer and 190 from cattle to undertake a genome epidemiology study. Bayesian phylogenetic methods of birth death skyline and structured coalescent analyses were applied to track epidemic progression and estimate raw counts and rates of M. bovis transmission withing and between cattle and deer. Findings were consistent with the main driver of disease transmission detected being infected cattle, with deer playing a smaller role.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .