INRA - URZ, UR143, Petit-Bourg, 97170, Guadeloupe, French West Indies, France.
INRA - UE PTEA, UE1294, Petit-Bourg, 97170, Guadeloupe, French West Indies, France.
Sci Rep. 2018 Oct 30;8(1):15987. doi: 10.1038/s41598-018-34338-2.
For small ruminants, Gastrointestinal Nematodes (GINs) are responsible for severe economic losses and they are also an animal welfare problem. GIN use their host to reproduce and disperse eggs on the pasture, from where they can re-infect another animal. The high density of hosts on the pasture and the extreme tolerance of GIN to environmental constraints make GIN eradication almost impossible. In addition, significant resistance to anthelmintic treatment requires sustainable and integrated management to maintain the health and financial well-being of livestock farming. In this context, models of the complex interactions between host, GIN and environment can help us to design long term optimal management strategies. To build such models, quantitative information is needed but are generally very challenging to collect. In this article, we focus on the number of ingested larvae per animal, which we propose to characterise by using a simulation framework based on the estimation of the spatial distribution of the host over time. Our framework allows us to show that worm burden individual variation is not only explained by the host's genetics, as is often the case, but is also a result of the grazing spatial process.
对于小反刍动物来说,胃肠道线虫(GINs)是造成严重经济损失的罪魁祸首,也是一个动物福利问题。GIN 利用宿主繁殖并在牧场上散布卵,从那里它们可以重新感染另一个动物。牧场上宿主的高密度和 GIN 对环境限制的极强耐受性使得 GIN 的根除几乎不可能。此外,对驱虫药物治疗的显著抗性需要可持续和综合的管理,以维持畜牧业的健康和财务状况。在这种情况下,宿主、GIN 和环境之间复杂相互作用的模型可以帮助我们设计长期的最佳管理策略。为了建立这样的模型,需要定量信息,但通常很难收集。在本文中,我们重点研究了每头动物摄入的幼虫数量,并提出使用基于宿主随时间的空间分布估计的模拟框架来对其进行描述。我们的框架表明,蠕虫负担个体变异不仅如通常情况那样仅由宿主的遗传决定,而且还是放牧空间过程的结果。