Programa de Pós-graduação em Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
Ecology. 2024 Mar;105(3):e4249. doi: 10.1002/ecy.4249. Epub 2024 Jan 28.
Global changes have increased the risk of emerging infectious diseases, which can be prevented or mitigated by studying host-parasite interactions, among other measures. Bats and their ectoparasitic flies of the families Streblidae and Nycteribiidae are an excellent study model but, so far, our knowledge has been restricted to fragmented records at a local scale. To help boost research, we assembled a data set of bat-fly interactions from 174 studies published between 1904 and 2022 plus three original data sets. Altogether, these studies were carried out at 650 sites in the Neotropics, mainly distributed in Mexico, Brazil, Argentina, southern USA, and Colombia, among other countries. In total, our data set contains 3984 interaction records between 237 bat species and 255 fly species. The bat species with the largest number of recorded interactions were Carollia perspicillata (357), Artibeus jamaicensis (263), and Artibeus lituratus (228). The fly species with the largest number of recorded interactions were Trichobius joblingi (256), Megistopoda aranea (235), and Megistopoda proxima (215). The interaction data were extracted, filtered, taxonomically harmonized, and made available in a tidy format together with linked data on bat population, fly population, study reference, sampling methods and geographic information from the study sites. This interconnected structure enables the expansion of information for each interaction record, encompassing where and how each interaction occurred, as well as the number of bats and flies involved. We expect BatFly to open new avenues for research focused on different levels of ecological organization and spatial scales. It will help consolidate knowledge about ecological specialization, resource distribution, pathogen transmission, and the drivers of parasite prevalence over a broad spatial range. It may also help to answer key questions such as: Are there differences in fly prevalence or mean infestation across Neotropical ecoregions? What ecological drivers explain those differences? How do specialization patterns vary among fly species in the Neotropics? Furthermore, we expect BatFly to inspire research aimed at understanding how climate and land-use changes may impact host-parasite interactions and disease outbreaks. This kind of research may help us reach Sustainable Development Goal 3, Good Health and Wellbeing, outlined by the United Nations. The data are released under a Creative Commons Attribution 4.0 International License.
全球变化增加了新发传染病的风险,可以通过研究宿主-寄生虫相互作用等措施来预防或减轻这种风险。蝙蝠及其外寄生虫蝇科的 Streblidae 和 Nycteribiidae 是一个极好的研究模型,但到目前为止,我们的知识仅限于当地范围内的零碎记录。为了帮助推动研究,我们从 1904 年至 2022 年期间发表的 174 项研究中以及三个原始数据集收集了蝙蝠-蝇相互作用数据集。这些研究总共在 650 个地点进行,主要分布在中美洲的墨西哥、巴西、阿根廷、美国南部和哥伦比亚等地。总的来说,我们的数据集中包含了 237 种蝙蝠物种和 255 种蝇物种之间的 3984 个相互作用记录。记录的相互作用数量最多的蝙蝠物种是 Carollia perspicillata(357)、Artibeus jamaicensis(263)和 Artibeus lituratus(228)。记录的相互作用数量最多的蝇物种是 Trichobius joblingi(256)、Megistopoda aranea(235)和 Megistopoda proxima(215)。交互数据经过提取、过滤、分类协调,并以整洁的格式与蝙蝠种群、蝇种群、研究参考、采样方法和研究地点的地理信息链接数据一起提供。这种相互关联的结构使每个交互记录的信息得以扩展,包括每个交互发生的地点和方式,以及涉及的蝙蝠和蝇的数量。我们预计 BatFly 将为研究提供新途径,重点关注不同层次的生态组织和空间尺度。它将有助于巩固关于生态特化、资源分布、病原体传播以及广泛空间范围内寄生虫流行驱动因素的知识。它还可能有助于回答关键问题,例如:在中美洲生态区,蝇的流行率或平均感染率是否存在差异?哪些生态驱动因素解释了这些差异?在中美洲,蝇种的特化模式有何不同?此外,我们预计 BatFly 将激发旨在了解气候变化和土地利用变化如何影响宿主-寄生虫相互作用和疾病爆发的研究。这种研究可能有助于我们实现联合国可持续发展目标 3“良好健康与福祉”。数据以知识共享署名 4.0 国际许可协议发布。