Dupas Stéphane, Zeddam Jean-Louis, Orbe Katherine, Barrera Cubillos Gloria Patricia, Villamizar Laura Fernanda, Mora Patricia, Suquillo Jovanni, Dangles Olivier, Lopez-Avilla Aristóbulo, Cotes-Prado Alba-Marina, Silvain Jean-Francois
Université Paris-Saclay, CNRS, IRD, UMR Évolution, Génomes, Comportement et Écologie, Gif-sur-Yvette, France.
Pontificia Universidad Católica del Ecuador, Facultad de Ciencias Naturales y Biológicas, Quito, Ecuador.
PLoS One. 2025 Jun 10;20(6):e0299183. doi: 10.1371/journal.pone.0299183. eCollection 2025.
We studied the interaction between the invasive potato moth T. solanivora and its granulovirus PhopGV in the northern Andes. Host density was analyzed based on 1206 pheromone trap data from 106 sampled sites in Ecuador, Colombia and Venezuela. The prevalence of the virus was assessed at 15 sites in 3 regions in Ecuador and Colombia. Infection status was analyzed for spatial structure at different scales: storage bag, storage room, field, locality, country. Locality and storage bag explained 8% and 26%, respectively of the total variance in infection status in glm analysis. The field versus storeroom effect differed between localities. GLM species distribution models were optimized for bioclimatic variables for both insects and viruses. Predicted virus prevalence was not significantly correlated with predicted host density at sampled virus sites. Over the entire climatic range covered by the study, the correlation was R=-0.053. Of the total population insect in this range, 26% were expected to be infected based on the model. This basic method of using species distribution models to analyze average correlations between species densities can help investigate statistical relationships across a range of trophic models using existing non-sympatric data, with little or no additional sampling effort. It removes confounding time-lag effects and allows the use of data collected separately in the different species. The approach is correlative, and cannot be interpreted in terms of causality or outside the study area.
我们研究了入侵性马铃薯块茎蛾茄实夜蛾与其颗粒体病毒茄实夜蛾颗粒体病毒（PhopGV）在安第斯山脉北部的相互作用。基于来自厄瓜多尔、哥伦比亚和委内瑞拉106个采样点的1206个信息素诱捕数据，分析了寄主密度。在厄瓜多尔和哥伦比亚3个地区的15个地点评估了病毒的流行情况。分析了不同尺度下感染状况的空间结构：储存袋、储存室、田地、地区、国家。在广义线性模型分析中，地区和储存袋分别解释了感染状况总方差的8%和26%。田地与储存室的效应在不同地区有所不同。针对昆虫和病毒的生物气候变量，优化了广义线性模型物种分布模型。在采样的病毒地点，预测的病毒流行率与预测的寄主密度没有显著相关性。在研究涵盖的整个气候范围内，相关性为R = -0.053。根据模型，在该范围内的昆虫总数中，预计26%会被感染。这种使用物种分布模型分析物种密度之间平均相关性的基本方法，有助于利用现有的非同域数据，在几乎不进行或不进行额外采样工作的情况下，研究一系列营养模型之间的统计关系。它消除了混杂的时间滞后效应，并允许使用在不同物种中分别收集的数据。该方法是相关性的，不能从因果关系角度或在研究区域之外进行解释。
