One Health Farming: Noninvasive monitoring reveals links between farm vertebrate richness and pathogen markers in outdoor hoofstock

IF 4.1 2区 医学 Q1 INFECTIOUS DISEASES One Health Pub Date : 2024-10-30 DOI:10.1016/j.onehlt.2024.100924
Gloria Herrero-García , Marta Pérez-Sancho , Patricia Barroso , Carmen Herranz-Benito , David Relimpio , Teresa García-Seco , Alberto Perelló , Alberto Díez-Guerrier , Pilar Pozo , Ana Balseiro , Lucas Domínguez , Christian Gortázar
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Abstract

Outdoor farming contributes to biodiversity conservation and enhances animal welfare, but also raises biosafety concerns due to livestock contact with potentially infected wildlife. Thus, there is a need to assess the balance between vertebrate species richness on farms, visits by wildlife species posing a biosafety risk, and pathogen circulation in open-air farming systems. We explored these links in a pilot study involving 15 open-air hoofstock farms (6 cattle, 5 small ruminant, and 4 pig farms), where we conducted interviews and risk point inspections and used two noninvasive tools: short-term camera trap (CT) deployment and environmental nucleic acid detection (ENAD). CTs were deployed to assess the richness of birds and mammals, as well as to determine the percentage of CTs detecting defined risk species. We also collected livestock feces and used sponges to sample surfaces for environmental DNA (eDNA), testing for nine pathogen markers. Total vertebrate richness ranged from 18 to 42 species, with waterholes significantly contributing to farm vertebrate richness, since 48.2 % of all wild vertebrates were detected at waterbodies, and 28.6 % were exclusively detected at waterholes. Pathogen markers detected at risk points correlated with those detected in livestock samples. Notably, the frequency of uidA marker detection correlated with the total number of pathogen markers detected per farm. Overall marker richness, an indicator of pathogen diversity, varied between farms, being higher in small ruminant farms compared to cattle or pig farms. At the farm level, wild vertebrate richness was negatively correlated with the richness of pathogen markers detected at risk points. Additionally, risk points with a higher probability of detecting more pathogen markers had lower vertebrate richness. Although CT-based assessments of vertebrate richness and ENAD-based pathogen marker detection are only indicators of actual biodiversity and farm health, respectively, our findings suggest that farmland vertebrate communities provide important ecosystem services and may help limit the circulation of multi-host pathogens.

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统一健康养殖:无创监测揭示了农场脊椎动物丰富度与室外蹄类动物病原体标记之间的联系
户外养殖有助于保护生物多样性和提高动物福利,但也会因牲畜接触可能受感染的野生动物而引发生物安全问题。因此,有必要评估养殖场脊椎动物物种丰富度、有生物安全风险的野生动物物种来访以及露天养殖系统中病原体循环之间的平衡。我们在一项涉及 15 个露天蹄类养殖场(6 个养牛场、5 个小型反刍动物养殖场和 4 个养猪场)的试点研究中探索了这些联系,我们进行了访谈和风险点检查,并使用了两种非侵入性工具:短期相机陷阱(CT)部署和环境核酸检测(ENAD)。部署 CT 是为了评估鸟类和哺乳动物的丰富程度,以及确定 CT 检测到规定风险物种的百分比。我们还收集了牲畜粪便,并使用海绵对表面进行环境 DNA (eDNA) 采样,检测九种病原体标记。脊椎动物总丰富度从 18 种到 42 种不等,水坑对农场脊椎动物丰富度的贡献很大,因为所有野生脊椎动物中有 48.2% 是在水体中检测到的,28.6% 只在水坑中检测到。在风险点检测到的病原体标记与在牲畜样本中检测到的病原体标记相关。值得注意的是,uidA 标记的检测频率与每个农场检测到的病原体标记总数相关。作为病原体多样性指标的总体标记丰富度因农场而异,小型反刍动物农场的标记丰富度高于牛场或猪场。在农场层面,野生脊椎动物的丰富度与风险点检测到的病原体标记的丰富度呈负相关。此外,检测到更多病原体标记的风险点的脊椎动物丰富度较低。虽然基于 CT 的脊椎动物丰富度评估和基于 ENAD 的病原体标记检测分别只是实际生物多样性和农场健康的指标,但我们的研究结果表明,农田脊椎动物群落提供了重要的生态系统服务,并可能有助于限制多宿主病原体的流通。
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来源期刊
One Health
One Health Medicine-Infectious Diseases
CiteScore
8.10
自引率
4.00%
发文量
95
审稿时长
18 weeks
期刊介绍: One Health - a Gold Open Access journal. The mission of One Health is to provide a platform for rapid communication of high quality scientific knowledge on inter- and intra-species pathogen transmission, bringing together leading experts in virology, bacteriology, parasitology, mycology, vectors and vector-borne diseases, tropical health, veterinary sciences, pathology, immunology, food safety, mathematical modelling, epidemiology, public health research and emergency preparedness. As a Gold Open Access journal, a fee is payable on acceptance of the paper. Please see the Guide for Authors for more information. Submissions to the following categories are welcome: Virology, Bacteriology, Parasitology, Mycology, Vectors and vector-borne diseases, Co-infections and co-morbidities, Disease spatial surveillance, Modelling, Tropical Health, Discovery, Ecosystem Health, Public Health.
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