Usc Vecpar-ANSES LSA, EA 7510, SFR Cap Santé, Université de Reims Champagne-Ardenne, 51 rue Cognacq-Jay, 51096 Reims Cedex, France.
Usc Vecpar-ANSES LSA, EA 7510, SFR Cap Santé, Université de Reims Champagne-Ardenne, 51 rue Cognacq-Jay, 51096 Reims Cedex, France.
Infect Genet Evol. 2023 Oct;114:105494. doi: 10.1016/j.meegid.2023.105494. Epub 2023 Aug 26.
Biting midges are vectors of arboviruses such as bluetongue virus, bovine ephemeral fever virus, Akabane virus, African horse sickness virus, epizootic haemorrhagic disease virus and Schmallenberg virus. Fast and accurate identification of biting midges is crucial in the study of Culicoides-borne diseases. Morphological identification of biting midges has revealed the presence of cryptic species. A total of 20 species are reported in Madagascar. In this study, we assessed wing morphometric analysis for identification of seven species namely C. dubitatus Kremer, Rebholtz-Hirtzel and Delécolle, C. enderleini Cornet and Brunhes, C. kibatiensis Goetghebuer, C. miombo Meiswinkel, C. moreli Clastrier, C. nevilli Cornet and Brunhes, and C. zuluensis de Meillon. Culicoides enderleini, C. miombo, C. moreli, C. nevilli and C. zuluensis are vectors diseases. A molecular approach, based on the cytochrome oxidase I gene (Cox1), was used for species delimitation. The molecular analysis presented seven different clades grouped two-by-two according to morphological characters. A total of 179 wing images were digitised. We found morphometric variation among seven species based on 11 landmarks and two outlines. Wing shape variation plots showed that species overlapped with species belonging to the same group. The cross-validation revealed a relatively high percentage of correct classification in most species, ranging from 91.3% to 100% for landmarks; 60% to 82.6% for outlines-1 and 77.1% to 91.3% for outlines-2. Our study suggests that wing geometric morphometric analysis is a robust tool for reliable "Moka Fohy" identification in Madagascar. This inexpensive and simple method is a precise supplement to morphological identification, with reaches the accuracy of Cox1 barcoding.
吸血蠓是蓝舌病毒、牛暂热病毒、阿卡斑病毒、马传染性贫血病毒、马传染性贫血病毒和沙米伦贝格病毒等虫媒病毒的载体。快速准确地识别吸血蠓对于研究库蠓传播的疾病至关重要。吸血蠓的形态学鉴定揭示了隐种的存在。马达加斯加共报告了 20 种。在这项研究中，我们评估了翅膀形态计量分析，以鉴定七种物种，即 C. dubitatus Kremer、Rebholtz-Hirtzel 和 Delécolle、C. enderleini Cornet 和 Brunhes、C. kibatiensis Goetghebuer、C. miombo Meiswinkel、C. moreli Clastrier、C. nevilli Cornet 和 Brunhes 和 C. zuluensis de Meillon。吸血蠓 enderleini、C. miombo、C. moreli、C. nevilli 和 C. zuluensis 是疾病的载体。一种基于细胞色素氧化酶 I 基因（Cox1）的分子方法用于物种划分。分子分析显示，根据形态特征分为两组的七个不同分支。总共对 179 个翅膀图像进行了数字化。我们根据 11 个地标和两个轮廓发现了七种物种之间的形态变异。翅膀形状变异图显示，物种与属于同一组的物种重叠。交叉验证显示，大多数物种的正确分类百分比相对较高，地标为 91.3%至 100%；轮廓-1 为 60%至 82.6%，轮廓-2 为 77.1%至 91.3%。我们的研究表明，翅膀几何形态计量分析是一种可靠的“Moka Fohy”识别工具。这种廉价且简单的方法是形态识别的精确补充，其准确性可达到 Cox1 条形码。
