Pupal Exuviae of Culex Pipiens L. (Diptera: Culicidae) Can be Utilised as a Non-Invasive Method of Biotype Differentiation.

IF 3.7 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Laura Jones, Christopher Sanders, Marion England, Mary Cameron, Simon Carpenter
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引用次数: 0

Abstract

Background: Culex pipiens L. is a principal vector of zoonotic arboviruses in Europe, acting in both an amplification role in enzootic transmission between avian hosts and as a bridge vector between avian hosts and mammals. The species consists of two forms which are indistinguishable using morphological methods but possess varying ecological and physiological traits that influence their vector capacity. In this study we validate methods that can be used to extract trace DNA from single pupal exuviae of Cx. pipiens for use in molecular speciation of samples. These DNA extraction methods are compared using measurement of the total yield and successful identification using a real-time polymerase chain reaction (PCR) assay.

Results: Genomic DNA was initially extracted from colony-derived individuals using an ethanol precipitation method, two commercially available DNA extraction kits: DNeasy® Blood & Tissue Kit (Qiagen, UK) and Wizard® SV Genomic DNA Purification System (Promega, UK) and a direct real-time PCR method. Time elapsed between eclosion and processing of pupae significantly influenced Cx. pipiens form identification as nucleic acid concentration and PCR amplification success decreased with increased time elapsed. Real-time PCR amplification success, however, was not shown to vary significantly between the three extraction methods, with all methods successfully identifying all samples, but the direct real-time PCR method achieved a lesser amplification success rate of 70% (n = 20 for each treatment). More variable results were produced when field-derived exuviae were used, with no significant difference in real-time PCR amplification success found across the four methods and a lower overall rate of successful identification of 55-80%.

Conclusions: This study shows that both colony and field derived Cx. pipiens pupal exuviae can be a useful non-invasive source of trace DNA permitting accurate biotype differentiation for at least twenty-four hours post-eclosion. The significance and utility of this technique in ecological and behavioural studies of Cx. pipiens is discussed and recommendations made for use according to experimental scenario.

Culex Pipiens L.(双翅目:库蚊科)的蛹外植体可用作生物类型区分的非侵入性方法。
背景:库蚊(Culex pipiens L.)是欧洲人畜共患虫媒病毒的主要传播媒介,在禽类宿主之间的流行性传播中起着放大作用,同时也是禽类宿主与哺乳动物之间的桥梁媒介。该物种有两种形态,用形态学方法无法区分,但具有不同的生态和生理特征,这些特征会影响它们的病媒能力。在这项研究中,我们验证了可用于从蝰蛇单个蛹的卵蜕中提取痕量 DNA 的方法,这些方法可用于样本的分子分类。通过测量总产量和使用实时聚合酶链式反应(PCR)法成功鉴定,对这些 DNA 提取方法进行了比较:最初使用乙醇沉淀法和两种市售 DNA 提取试剂盒从菌落衍生个体中提取基因组 DNA:DNeasy® 血液和组织试剂盒(Qiagen,英国)和 Wizard® SV 基因组 DNA 纯化系统(Promega,英国)以及直接实时 PCR 方法。由于核酸浓度和 PCR 扩增成功率随时间的延长而降低,因此从蛹羽化到处理蛹之间的时间间隔对蝰蛇的形态鉴定有显著影响。然而,实时 PCR 扩增成功率在三种提取方法之间并无明显差异,所有方法都能成功鉴定所有样本,但直接实时 PCR 方法的扩增成功率较低,仅为 70%(每种处理 20 个样本)。在使用野外采集的外植体时,结果差异更大,四种方法的实时 PCR 扩增成功率没有显著差异,总体鉴定成功率较低,仅为 55-80%:这项研究表明,蚁群和野外采集的蝰蛇蛹外植体都是一种有用的非侵入性痕量 DNA 来源,可在蛹孵化后至少 24 小时内准确区分生物型。本文讨论了这一技术在蝰蛇生态和行为研究中的意义和用途,并根据实验情况提出了使用建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biological Procedures Online
Biological Procedures Online 生物-生化研究方法
CiteScore
10.50
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: iological Procedures Online publishes articles that improve access to techniques and methods in the medical and biological sciences. We are also interested in short but important research discoveries, such as new animal disease models. Topics of interest include, but are not limited to: Reports of new research techniques and applications of existing techniques Technical analyses of research techniques and published reports Validity analyses of research methods and approaches to judging the validity of research reports Application of common research methods Reviews of existing techniques Novel/important product information Biological Procedures Online places emphasis on multidisciplinary approaches that integrate methodologies from medicine, biology, chemistry, imaging, engineering, bioinformatics, computer science, and systems analysis.
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