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乌干达北部舌蝇(Glossina fuscipes fuscipes,双翅目:舌蝇科)的遗传多样性与种群结构:对病媒控制的影响

Genetic diversity and population structure of the tsetse fly Glossina fuscipes fuscipes (Diptera: Glossinidae) in Northern Uganda: Implications for vector control.

作者信息

Opiro Robert, Saarman Norah P, Echodu Richard, Opiyo Elizabeth A, Dion Kirstin, Halyard Alexis, Dunn Augustine W, Aksoy Serap, Caccone Adalgisa

机构信息

Department of Biology, Faculty of Science, Gulu University, Gulu, Uganda.

Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.

出版信息

PLoS Negl Trop Dis. 2017 Apr 28;11(4):e0005485. doi: 10.1371/journal.pntd.0005485. eCollection 2017 Apr.

DOI:10.1371/journal.pntd.0005485
PMID:28453513
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5425221/
Abstract

Uganda is the only country where the chronic and acute forms of human African Trypanosomiasis (HAT) or sleeping sickness both occur and are separated by < 100 km in areas north of Lake Kyoga. In Uganda, Glossina fuscipes fuscipes is the main vector of the Trypanosoma parasites responsible for these diseases as well for the animal African Trypanosomiasis (AAT), or Nagana. We used highly polymorphic microsatellite loci and a mitochondrial DNA (mtDNA) marker to provide fine scale spatial resolution of genetic structure of G. f. fuscipes from 42 sampling sites from the northern region of Uganda where a merger of the two disease belts is feared. Based on microsatellite analyses, we found that G. f. fuscipes in northern Uganda are structured into three distinct genetic clusters with varying degrees of interconnectivity among them. Based on genetic assignment and spatial location, we grouped the sampling sites into four genetic units corresponding to northwestern Uganda in the Albert Nile drainage, northeastern Uganda in the Lake Kyoga drainage, western Uganda in the Victoria Nile drainage, and a transition zone between the two northern genetic clusters characterized by high level of genetic admixture. An analysis using HYBRIDLAB supported a hybrid swarm model as most consistent with tsetse genotypes in these admixed samples. Results of mtDNA analyses revealed the presence of 30 haplotypes representing three main haplogroups, whose location broadly overlaps with the microsatellite defined clusters. Migration analyses based on microsatellites point to moderate migration among the northern units located in the Albert Nile, Achwa River, Okole River, and Lake Kyoga drainages, but not between the northern units and the Victoria Nile drainage in the west. Effective population size estimates were variable with low to moderate sizes in most populations and with evidence of recent population bottlenecks, especially in the northeast unit of the Lake Kyoga drainage. Our microsatellite and mtDNA based analyses indicate that G. f. fuscipes movement along the Achwa and Okole rivers may facilitate northwest expansion of the Rhodesiense disease belt in Uganda. We identified tsetse migration corridors and recommend a rolling carpet approach from south of Lake Kyoga northward to minimize disease dispersal and prevent vector re-colonization. Additionally, our findings highlight the need for continuing tsetse monitoring efforts during and after control.

摘要

乌干达是唯一一个同时存在慢性和急性人类非洲锥虫病(HAT,即昏睡病)的国家,在基奥加湖以北地区,这两种疾病的发病区域相距不到100公里。在乌干达,fuscipes fuscipes舌蝇是导致这些疾病以及动物非洲锥虫病(AAT,即那加那病)的锥虫寄生虫的主要传播媒介。我们使用高度多态的微卫星位点和线粒体DNA(mtDNA)标记,对来自乌干达北部42个采样点的fuscipes fuscipes舌蝇的遗传结构进行了精细尺度的空间解析,该区域担心会出现两种疾病带合并的情况。基于微卫星分析,我们发现乌干达北部的fuscipes fuscipes舌蝇分为三个不同的遗传簇,它们之间具有不同程度的相互连通性。根据遗传归属和空间位置,我们将采样点分为四个遗传单元,分别对应于艾伯特尼罗河流域的乌干达西北部、基奥加湖流域的乌干达东北部、维多利亚尼罗河流域的乌干达西部,以及两个北部遗传簇之间的过渡区,该过渡区的特点是遗传混合程度高。使用HYBRIDLAB进行的分析支持混合群体模型,该模型与这些混合样本中的采采蝇基因型最为一致。mtDNA分析结果显示存在30种单倍型,代表三个主要单倍群,其位置大致与微卫星定义的簇重叠。基于微卫星的迁移分析表明,位于艾伯特尼罗河流域、阿乔瓦河、奥科勒河和基奥加湖流域的北部单元之间存在适度迁移,但北部单元与西部的维多利亚尼罗河流域之间没有迁移。有效种群大小估计值各不相同,大多数种群的大小从低到中等,并且有近期种群瓶颈的证据,特别是在基奥加湖流域的东北部单元。我们基于微卫星和mtDNA的分析表明,fuscipes fuscipes舌蝇沿着阿乔瓦河和奥科勒河的移动可能会促进乌干达罗得西亚病带向西北扩展。我们确定了采采蝇迁移走廊,并建议从基奥加湖南部向北采用滚动地毯式方法,以尽量减少疾病传播并防止媒介重新定殖。此外,我们的研究结果强调了在控制期间和之后持续进行采采蝇监测工作的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/7ff122616b6b/pntd.0005485.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/05f3a1c147c9/pntd.0005485.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/8ba920e5b4f6/pntd.0005485.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/c43fd28a5a90/pntd.0005485.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/7ff122616b6b/pntd.0005485.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/05f3a1c147c9/pntd.0005485.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/8ba920e5b4f6/pntd.0005485.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/c43fd28a5a90/pntd.0005485.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5148/5425221/7ff122616b6b/pntd.0005485.g004.jpg

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