宿主、环境或人类的相关影响驱动着动物结核病多宿主群落中的种间相互作用,具体取决于宿主和季节

IF 3.5 2区 农林科学 Q2 INFECTIOUS DISEASES Transboundary and Emerging Diseases Pub Date : 2024-06-10 DOI:10.1155/2024/9779569
Eduardo M. Ferreira, Mónica V. Cunha, Elsa L. Duarte, Renata Gonçalves, Tiago Pinto, António Mira, Sara M. Santos
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引用次数: 0

摘要

在地中海的许多生态系统中,由牛分枝杆菌引起的动物结核病(TB)由多宿主群落维持,在这些群落中,牛和不同的野生动物物种建立了相互作用网络,促进了牛分枝杆菌的传播和持续存在。大多数研究都是针对野生动物与牛之间与疾病相关的相互作用,重点关注蓄积宿主,而忽略了所谓意外宿主的潜在贡献和/或忽视了野生动物与野生动物之间的相互作用。在这项工作中,我们的目标是描述结核病流行风险地区物种间相互作用的特征,并识别相互作用模式的生态驱动因素,而不考虑宿主物种对结核病流行病学的预归因作用。为此,我们通过相机诱捕调查了野生哺乳动物与牛之间以及不同野生动物物种之间的时空间接相互作用。其次,在水源地和对照地测试了可能驱动物种对在雨季和旱季相互作用的五个生态假设:人类存在(H1)、地貌组成(H2)、地形(H3)、天气(H4)以及天然食物和水资源(H5)。野猪(Sus scrofa)、赤鹿(Cervus elaphus)和赤狐(Vulpes vulpes)是最多参与间接互动的野生动物物种。我们发现,野生动物与牛之间的间接互动比野生动物之间的互动更频繁,而且对于某些物种对来说,在雨季,野生动物与牛和野生动物之间的互动率都更高。天然食物和水资源(H5)是影响野生动物与牛之间互动数量最多的假设,在旱季会产生积极影响,而在雨季则会产生消极影响。与此相反,野生动物物种间间接互动的丰度主要受人类干扰假说(H1)的支持,在旱季产生负面影响,而在雨季产生不同影响。其他测试假设也会影响野生动物-牛和野生动物-野生动物之间的相互作用,具体取决于季节和宿主物种。这些结果突出表明,间接的相互作用,以及因此可能有利于牛海绵状瘤病毒在共同环境中传播的条件,是由不同的生态背景决定的。
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Host-, Environment-, or Human-Related Effects Drive Interspecies Interactions in an Animal Tuberculosis Multi-Host Community Depending on the Host and Season

In many Mediterranean ecosystems, animal tuberculosis (TB), caused by Mycobacterium bovis, is maintained by multi-host communities in which cattle and different wildlife species establish interaction networks contributing to M. bovis transmission and persistence. Most studies have addressed wildlife–cattle disease-relevant interactions, focusing on reservoir hosts, while disregarding the potential contribution of the so-called accidental hosts and/or neglecting wildlife–wildlife interactions. In this work, we aimed to characterise interspecies interactions in an endemic TB risk area and identify the ecological drivers of interaction patterns regardless of the pre-attributed role of host species on TB epidemiology. For that purpose, spatial–temporal indirect interactions between wildlife mammals and cattle, and between different wildlife species, were investigated through camera trapping. Second, five ecological hypotheses potentially driving species pair interactions in the wet and dry seasons were tested covering water and control sites: human presence (H1), landscape composition (H2), topography (H3), weather (H4), and natural food and water resources (H5). Wild boar (Sus scrofa), red deer (Cervus elaphus), and red fox (Vulpes vulpes) were the wildlife species mostly involved in indirect interactions. We found that indirect wildlife–cattle interactions were more frequent than wildlife interactions and, for certain species pairs, interaction rates were higher in the wet season in both wildlife–cattle and wildlife groups. Natural food and water resources (H5) was the most supported hypothesis that influenced the abundance of wildlife–cattle interactions, with positive effects during the dry season and negative effects during the wet season. In contrast, the abundance of indirect interactions between wildlife species was mainly supported by the human disturbance hypothesis (H1), with negative effects exerted on the dry season and variable effects on the wet season. Other tested hypotheses also influenced wildlife–cattle and wildlife–wildlife interactions, depending on the season and host species. These results highlight that indirect interactions, and thus conditions potentially favouring the transmission of M. bovis in shared environments, are determined by different ecological backgrounds.

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来源期刊
Transboundary and Emerging Diseases
Transboundary and Emerging Diseases 农林科学-传染病学
CiteScore
8.90
自引率
9.30%
发文量
350
审稿时长
1 months
期刊介绍: Transboundary and Emerging Diseases brings together in one place the latest research on infectious diseases considered to hold the greatest economic threat to animals and humans worldwide. The journal provides a venue for global research on their diagnosis, prevention and management, and for papers on public health, pathogenesis, epidemiology, statistical modeling, diagnostics, biosecurity issues, genomics, vaccine development and rapid communication of new outbreaks. Papers should include timely research approaches using state-of-the-art technologies. The editors encourage papers adopting a science-based approach on socio-economic and environmental factors influencing the management of the bio-security threat posed by these diseases, including risk analysis and disease spread modeling. Preference will be given to communications focusing on novel science-based approaches to controlling transboundary and emerging diseases. The following topics are generally considered out-of-scope, but decisions are made on a case-by-case basis (for example, studies on cryptic wildlife populations, and those on potential species extinctions): Pathogen discovery: a common pathogen newly recognised in a specific country, or a new pathogen or genetic sequence for which there is little context about — or insights regarding — its emergence or spread. Prevalence estimation surveys and risk factor studies based on survey (rather than longitudinal) methodology, except when such studies are unique. Surveys of knowledge, attitudes and practices are within scope. Diagnostic test development if not accompanied by robust sensitivity and specificity estimation from field studies. Studies focused only on laboratory methods in which relevance to disease emergence and spread is not obvious or can not be inferred (“pure research” type studies). Narrative literature reviews which do not generate new knowledge. Systematic and scoping reviews, and meta-analyses are within scope.
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