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首页> 外文期刊>Parasites Vectors >Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America
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Modelling the potential geographic distribution of triatomines infected by Triatoma virus in the southern cone of South America

机译:建模在南美南部锥部被Triatoma病毒感染的Triatomines的潜在地理分布

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Background Triatoma virus (TrV) is the only entomopathogenous virus identified in triatomines. We estimated the potential geographic distribution of triatomine species naturally infected by TrV, using remotely sensed and meteorological environmental variables, to predict new potential areas where triatomines infected with TrV may be found. Methods Detection of TrV infection in samples was performed with RT-PCR. Ecological niche models (ENM) were constructed using the MaxEnt software. We used 42 environmental variables derived from remotely sensed imagery (AVHRR) and 19 bioclimatic variables (Bioclim). The MaxEnt Jackknife procedure was used to minimize the number of environmental variables that showed an influence on final models. The goodness of fit of the model predictions was evaluated by the mean area under the curve (AUC). Results We obtained 37 samples of 7 species of triatomines naturally infected with TrV. Of the TrV positive samples, 32% were from sylvatic habitat, 46% came from peridomicile habitats and 22% from domicile habitats. Five of the seven infected species were found only in the sylvatic habitat, one species only in the domicile and only Triatoma infestans was found in the three habitats. The MaxEnt model estimated with the Bioclim dataset identified five environmental variables as best predictors: temperature annual range, mean diurnal range, mean temperature of coldest quarter, temperature seasonality and annual mean temperature. The model using the AVHRR dataset identified six environmental variables: minimum Land Surface Temperature (LST), minimum Middle Infrared Radiation (MIR), LST annual amplitude, MIR annual amplitude annual, LST variance and MIR variance. The potential geographic distribution of triatomine species infected by TrV coincides with the Chaco and the Monte ecoregions either modelled by AVHRR or Bioclim environmental datasets. Conclusions Our results show that the conditions of the Dry Chaco ecoregion in Argentina are favourable for the infection of triatomine species with TrV, and open the possibility of its use as a potential agent for the biological control of peridomestic and/or sylvatic triatomine species. Results identify areas of potential occurrence that should be verified in the field.
机译:背景Triatoma病毒(TrV)是在Triatomines中鉴定出的唯一病原性病毒。我们使用遥感和气象环境变量估算了天然被TrV感染的三氢嘧啶物种的潜在地理分布,以预测可能发现被TrV感染的三氢嘧啶的新潜在区域。方法采用RT-PCR检测样本中TrV感染。使用MaxEnt软件构建生态位模型(ENM)。我们使用了42个来自遥感影像(AVHRR)的环境变量和19个生物气候变量(Bioclim)。使用MaxEnt折刀程序可以最大程度地减少对最终模型有影响的环境变量的数量。通过曲线下的平均面积(AUC)评估模型预测的拟合优度。结果我们获得了自然感染了TrV的7种三atomines的37个样品。在TrV阳性样本中,32%来自sylvatic生境,46%来自周生生境,22%来自住所生境。七个受感染物种中有五个仅在sylvatic生境中发现,一个物种仅在住所内,而在三个生境中仅发现了Triatoma infestans。用Bioclim数据集估算的MaxEnt模型确定了五个环境变量作为最佳预测变量:温度年度范围,平均日范围,最冷季的平均温度,温度季节性和年度平均温度。使用AVHRR数据集的模型确定了六个环境变量:最低陆面温度(LST),最小中红外辐射(MIR),LST年振幅,MIR年振幅年,LST方差和MIR方差。 TrV感染的三atomine物种的潜在地理分布与通过AVHRR或Bioclim环境数据集建模的Chaco和Monte生态区一致。结论我们的结果表明,阿根廷干燥Chaco生态区的条件有利于TrV感染三atomine物种,并开辟了将其用作潜在控制生物体内和/或sylvatic triatomine物种的可能性。结果确定了可能发生的区域,应在现场进行验证。

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