Lutz Holly L, Hochachka Wesley M, Engel Joshua I, Bell Jeffrey A, Tkach Vasyl V, Bates John M, Hackett Shannon J, Weckstein Jason D
Department of Ecology and Evolutionary Biology, College of Agricultural and Life Sciences, Cornell University, Ithaca, New York, United States of America; Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America; Cornell Lab of Ornithology, Cornell University, Ithaca, New York, United States of America; Department of Zoology, Field Museum of Natural History, Chicago, Illinois, United States of America.
Cornell Lab of Ornithology, Cornell University, Ithaca, New York, United States of America.
PLoS One. 2015 Apr 8;10(4):e0121254. doi: 10.1371/journal.pone.0121254. eCollection 2015.
Avian host life history traits have been hypothesized to predict rates of infection by haemosporidian parasites. Using molecular techniques, we tested this hypothesis for parasites from three haemosporidian genera (Plasmodium, Haemoproteus, and Leucocytozoon) collected from a diverse sampling of birds in northern Malawi. We found that host life history traits were significantly associated with parasitism rates by all three parasite genera. Nest type and nest location predicted infection probability for all three parasite genera, whereas flocking behavior is an important predictor of Plasmodium and Haemoproteus infection and habitat is an important predictor of Leucocytozoon infection. Parasite prevalence was 79.1% across all individuals sampled, higher than that reported for comparable studies from any other region of the world. Parasite diversity was also exceptionally high, with 248 parasite cytochrome b lineages identified from 152 host species. A large proportion of Plasmodium, Haemoproteus, and Leucocytozoon parasite DNA sequences identified in this study represent new, previously undocumented lineages (n = 201; 81% of total identified) based on BLAST queries against the avian malaria database, MalAvi.
鸟类宿主的生活史特征被认为可以预测血孢子虫寄生虫的感染率。我们运用分子技术,针对从马拉维北部多种鸟类样本中采集的三种血孢子虫属(疟原虫属、血变原虫属和白细胞虫属)的寄生虫,对这一假设进行了检验。我们发现,宿主生活史特征与所有这三个寄生虫属的寄生率均显著相关。巢的类型和巢的位置可以预测所有这三个寄生虫属的感染概率,而集群行为是疟原虫属和血变原虫属感染的重要预测指标,栖息地则是白细胞虫属感染的重要预测指标。在所有采样个体中,寄生虫感染率为79.1%,高于世界上其他任何地区同类研究报告的感染率。寄生虫多样性也异常高,从152种宿主物种中鉴定出了248个寄生虫细胞色素b谱系。基于对鸟类疟疾数据库MalAvi的BLAST查询,本研究中鉴定出的很大一部分疟原虫属、血变原虫属和白细胞虫属寄生虫DNA序列代表了新的、以前未记录的谱系(n = 201;占已鉴定总数的81%)。