Laboratório de Evolução e Biogeografia, Universidade Federal da Bahia, Rua Barão de Jeremoabo 147, Salvador, BA, 40170115, Brazil.
Department of Biosciences, Swansea University, Swansea, SA2 8PP, UK.
Ecol Lett. 2019 Mar;22(3):547-557. doi: 10.1111/ele.13215. Epub 2019 Jan 13.
Parasites with low host specificity (e.g. infecting a large diversity of host species) are of special interest in disease ecology, as they are likely more capable of circumventing ecological or evolutionary barriers to infect new hosts than are specialist parasites. Yet for many parasites, host specificity is not fixed and can vary in response to environmental conditions. Using data on host associations for avian malaria parasites (Apicomplexa: Haemosporida), we develop a hierarchical model that quantifies this environmental dependency by partitioning host specificity variation into region- and parasite-level effects. Parasites were generally phylogenetic host specialists, infecting phylogenetically clustered subsets of available avian hosts. However, the magnitude of this specialisation varied biogeographically, with parasites exhibiting higher host specificity in regions with more pronounced rainfall seasonality and wetter dry seasons. Recognising the environmental dependency of parasite specialisation can provide useful leverage for improving predictions of infection risk in response to global climate change.
寄生虫宿主特异性较低(例如,感染宿主的多样性很大)在疾病生态学中特别有趣,因为它们比专性寄生虫更有可能规避感染新宿主的生态或进化障碍。然而,对于许多寄生虫来说,宿主特异性并不是固定的,它可以根据环境条件而变化。我们利用有关鸟类疟疾寄生虫(孢子虫门:血孢子虫)宿主关联的数据,开发了一种层次模型,通过将宿主特异性变异划分为区域和寄生虫水平的影响来量化这种环境依赖性。寄生虫通常是系统发育宿主专性寄生虫,感染可用鸟类宿主中系统发育聚类的子集。然而,这种专门化的程度在生物地理上有所不同,寄生虫在降雨季节性更强且干湿季更湿润的地区表现出更高的宿主特异性。认识到寄生虫专门化的环境依赖性可以为改善对全球气候变化的感染风险预测提供有用的手段。