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拖拽算是一种拖累,还是诱捕算是一种陷阱?两种在物种分布范围边界附近采集美洲钝眼蜱方法的比较。

Is dragging a drag or is trapping a trap? A comparison of two methods for collecting Amblyomma americanum ticks in sites near the species range boundary.

作者信息

Briggs Peter, Trimmell Lawson, Monzón Javier D

机构信息

Natural Science Division, Pepperdine University, 24255 Pacific Coast Highway, Malibu, CA, USA.

出版信息

Exp Appl Acarol. 2024 Dec 9;94(1):7. doi: 10.1007/s10493-024-00977-6.

Abstract

The incidence of tick-borne diseases in the United States has more than doubled since the early 2000s. Research on ticks is a priority to mitigate the spread of tick-borne diseases. Thus, it is important to understand how to efficiently collect large numbers of ticks for studies of genetics, behavior, physiology, vector competence, tick repellants, and acaricides. In this study, we compared the efficiency of two methods-dragging and CO-baited trapping-for collecting lone star ticks (Amblyomma americanum) across two distinct regions of its expanding range. We performed simultaneous dragging and trapping collections at six sites, three in Oklahoma and three in New York and New Jersey, USA. Our results demonstrate that dragging was more efficient than trapping for collecting lone star tick nymphs. However, dragging and trapping were similar in efficiency for collecting adult males and females. There were no regional differences in trapping or dragging efficiency. Additionally, we discuss material and labor costs of each method to inform researchers who need to rapidly collect as many ticks as possible with the most efficient and cost-effective method.

摘要

自21世纪初以来,美国蜱传疾病的发病率增加了一倍多。蜱类研究是减缓蜱传疾病传播的一项优先任务。因此,了解如何高效收集大量蜱类用于遗传学、行为学、生理学、媒介能力、蜱类驱避剂和杀螨剂的研究非常重要。在本研究中,我们比较了两种采集方法——拖拽法和二氧化碳诱捕法——在孤星蜱(美洲钝眼蜱)分布范围不断扩大的两个不同区域收集孤星蜱的效率。我们在美国俄克拉荷马州的三个地点以及纽约州和新泽西州的三个地点同时进行了拖拽和诱捕采集。我们的结果表明,在收集孤星蜱若虫方面,拖拽法比诱捕法更高效。然而,在收集成年雄性和雌性蜱时,拖拽法和诱捕法的效率相似。诱捕或拖拽效率不存在区域差异。此外,我们讨论了每种方法的材料和劳动力成本,以便为那些需要以最有效和最具成本效益的方法快速收集尽可能多蜱类的研究人员提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc4c/11628580/a95c4271a13d/10493_2024_977_Fig1_HTML.jpg

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