Biogeography of the two major arbovirus mosquito vectors, Aedes aegypti and Aedes albopictus (Diptera, Culicidae), in Madagascar.
Biogeography of the two major arbovirus mosquito vectors, Aedes aegypti and Aedes albopictus (Diptera, Culicidae), in Madagascar.
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DOI：
10.1186/1756-3305-5-56
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发表时间：
2012-03-20
影响因子：
3.2
通讯作者：
Mavingui P
中科院分区：
文献类型：
--
作者：
Raharimalala FN;Ravaomanarivo LH;Ravelonandro P;Rafarasoa LS;Zouache K;Tran-Van V;Mousson L;Failloux AB;Hellard E;Moro CV;Ralisoa BO;Mavingui P
在过去十年中，印度洋地区一直是基孔肯雅热和登革热严重流行的地区。这些暴发恰逢白纹伊蚊数量大幅增加，在大多数抽样岛屿上，白纹伊蚊的数量超过了其姊妹分类群埃及伊蚊。这项工作的目的是更新马达加斯加岛上两种伊蚊的昆虫学调查，这两种伊蚊必须面对这些虫媒病毒。2007年10月至2009年10月在8个气候不同地区的15个地点进行了两年的伊蚊抽样。捕获的成虫被立即识别，而未成熟阶段则被培育到成虫阶段进行测定。用CO1和ND5两个mtDNA基因进行系统发育分析，采用基因时间可逆(GTR)模型，用最大似然法(ML)构建系统发育树。用滴度为107.5 pfu/m L的基孔肯雅病毒06.21株进行实验感染，以评估现场采集的蚊子的媒介能力。在感染后14天，通过对头部南瓜进行免疫荧光分析来测量播散性感染率。埃及伊蚊只在自然森林和自然保护区的六个地点被检测到。相比之下，在15个抽样地点中，有13个地点发现了白纹伊蚊。繁殖地点大多在人造环境中，如废弃的容器、旧轮胎、废弃的水桶、椰子和竹子。线性回归模型表明，Ae的丰度。白纹伊蚊受采样区域(F=62.00，p<；2.2×10-16)和周期(F=36.22，p=2.548×10-13)的影响，与生态和气候变化有关。入侵亚种Ae的系统发育分析。白纹伊蚊将南亚和南美洲的单倍型与马达加斯加的单倍型区分开来，但所使用的标记不足以区分马达加斯加种群。实验性口腔感染方法显示，6株Ae。白纹伊蚊种群表现出较高的基孔肯雅病毒传播感染率，从98%到100%不等。在马达加斯加，艾哈迈德。白纹伊蚊的地理分布有所扩大，而Ae.埃及伊蚊已经变得罕见，这与之前观察到的情况形成了鲜明对比。变化主要是由人类活动和降雨制度推动的，这为高度亲人的蚊子提供了合适的繁殖地。白纹伊蚊。此外，这些人群被发现对基孔肯雅病毒高度敏感。根据这项研究，Ae.白纹伊蚊可能参与了最近在马达加斯加爆发的基孔肯雅热和登革热疫情，因此，应促进控制措施，以限制其目前的扩张。
In the past ten years, the Indian Ocean region has been the theatre of severe epidemics of chikungunya and dengue. These outbreaks coincided with a high increase in populations of Aedes albopictus that outcompete its sister taxon Aedes aegypti in most islands sampled. The objective of this work was to update the entomological survey of the two Aedes species in the island of Madagascar which has to face these arboviroses. The sampling of Aedes mosquitoes was conducted during two years, from October 2007 to October 2009, in fifteen localities from eight regions of contrasting climates. Captured adults were identified immediately whereas immature stages were bred until adult stage for determination. Phylogenetic analysis was performed using two mtDNA genes, COI and ND5 and trees were constructed by the maximum likelihood (ML) method with the gene time reversible (GTR) model. Experimental infections with the chikungunya virus strain 06.21 at a titer of 107.5 pfu/mL were performed to evaluate the vector competence of field-collected mosquitoes. Disseminated infection rates were measured fourteen days after infection by immunofluorescence assay performed on head squashes. The species Aedes aegypti was detected in only six sites in native forests and natural reserves. In contrast, the species Aedes albopictus was found in 13 out of the 15 sites sampled. Breeding sites were mostly found in man-made environments such as discarded containers, used tires, abandoned buckets, coconuts, and bamboo cuts. Linear regression models showed that the abundance of Ae. albopictus was significantly influenced by the sampling region (F = 62.00, p < 2.2 × 10-16) and period (F = 36.22, p = 2.548 × 10-13), that are associated with ecological and climate variations. Phylogenetic analysis of the invasive Ae. albopictus distinguished haplotypes from South Asia and South America from those of Madagascar, but the markers used were not discriminant enough to discern Malagasy populations. The experimental oral infection method showed that six Ae. albopictus populations exhibited high dissemination infection rates for chikungunya virus ranging from 98 to 100%. In Madagascar, Ae. albopictus has extended its geographical distribution whereas, Ae. aegypti has become rare, contrasting with what was previously observed. Changes are predominantly driven by human activities and the rainfall regime that provide suitable breeding sites for the highly anthropophilic mosquito Ae. albopictus. Moreover, these populations were found to be highly susceptible to chikungunya virus. In the light of this study, Ae. albopictus may have been involved in the recent outbreaks of chikungunya and dengue epidemics in Madagascar, and consequently, control measures should be promoted to limit its current expansion.
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影响因子：
3.2
作者：
Kamgang B;Marcombe S;Chandre F;Nchoutpouen E;Nwane P;Etang J;Corbel V;Paupy C
通讯作者：
Paupy C
影响因子：
2.7
作者：
Juliano, SA;Lounibos, LP;O'Meara, GF
通讯作者：
O'Meara, GF
影响因子：
2.1
作者：
Benedict, Mark Q.;Levine, Rebecca S.;Lounibos, L. Philip
通讯作者：
Lounibos, L. Philip
影响因子：
2.3
作者：
Murakami, T;Ohkawara, K;Higashi, S
通讯作者：
Higashi, S
影响因子：
4.5
作者：
Randrianasolo, Laurence;Raoelina, Yolande;Richard, Vincent
通讯作者：
Richard, Vincent