Viana Mafalda, Faust Christina L, Haydon Daniel T, Webster Joanne P, Lamberton Poppy H L
Institute for Biodiversity, Animal Health and Comparative Medicine University of Glasgow Glasgow UK.
Wellcome Centre for Molecular Parasitology University of Glasgow Glasgow UK.
Evol Appl. 2017 Nov 19;11(4):488-500. doi: 10.1111/eva.12558. eCollection 2018 Apr.
Natural selection acts on all organisms, including parasites, to maximize reproductive fitness. Drug resistance traits are often associated with life-history costs in the absence of treatment. Schistosomiasis control programmes rely on mass drug administration to reduce human morbidity and mortality. Although hotspots of reduced drug efficacy have been reported, resistance is not widespread. Using Bayesian state-space models (SSMs) fitted to data from an laboratory system, we tested the hypothesis that the spread of resistant may be limited by life-history costs not present in susceptible counterparts. parasites from a praziquantel-susceptible (S), a praziquantel-resistant (R) or a mixed line of originally resistant and susceptible parasites (RS) were exposed to a range of praziquantel doses. Parasite numbers at each life stage were quantified in their molluscan intermediate and murine definitive hosts across four generations, and SSMs were used to estimate key life-history parameters for each experimental group over time. Model outputs illustrated that parasite adult survival and fecundity in the murine host decreased across all lines, including R, with increasing drug pressure. Trade-offs between adult survival and fecundity were observed in all untreated lines, and these remained strong in S with praziquantel pressure. In contrast, trade-offs between adult survival and fecundity were lost under praziquantel pressure in R. As expected, parasite life-history traits within the molluscan host were complex, but trade-offs were demonstrated between parasite establishment and cercarial output. The observed trade-offs between generations within hosts, which were modified by praziquantel treatment in the R line, could limit the spread of R parasites under praziquantel pressure. Whilst such complex life-history costs may be difficult to detect using standard empirical methods, we demonstrate that SSMs provide robust estimates of life-history parameters, aiding our understanding of costs and trade-offs of resistant parasites within this system and beyond.
自然选择作用于包括寄生虫在内的所有生物体,以最大化繁殖适应性。在未进行治疗的情况下,耐药性状通常与生活史成本相关。血吸虫病控制项目依靠大规模药物给药来降低人类发病率和死亡率。尽管已有报道称存在药物疗效降低的热点地区,但耐药情况并不普遍。利用拟合实验室系统数据的贝叶斯状态空间模型(SSM),我们检验了以下假设:耐药寄生虫的传播可能受到易感对应物中不存在的生活史成本的限制。将来自吡喹酮敏感(S)、吡喹酮耐药(R)或最初耐药与敏感寄生虫混合品系(RS)的寄生虫暴露于一系列吡喹酮剂量下。在四个世代中,对每个生命阶段的寄生虫数量在其软体动物中间宿主和鼠类终宿主中进行了量化,并使用SSM来估计每个实验组随时间变化的关键生活史参数。模型输出表明,随着药物压力增加,所有品系(包括R)在鼠类宿主中的寄生虫成虫存活率和繁殖力均下降。在所有未处理的品系中均观察到成虫存活率和繁殖力之间的权衡,在有吡喹酮压力的S品系中这种权衡仍然很明显。相比之下,在吡喹酮压力下,R品系中成虫存活率和繁殖力之间的权衡消失了。正如预期的那样,软体动物宿主内的寄生虫生活史特征很复杂,但在寄生虫定殖和尾蚴产量之间表现出了权衡。宿主内各世代之间观察到的权衡在R品系中因吡喹酮治疗而发生改变,这可能会限制吡喹酮压力下R寄生虫的传播。虽然使用标准实证方法可能难以检测到这种复杂的生活史成本,但我们证明SSM能够提供对生活史参数的可靠估计,有助于我们理解该系统及其他系统中耐药寄生虫的成本和权衡情况。