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DNA Barcoding of Sigmodontine Rodents: Identifying Wildlife Reservoirs of Zoonoses

机译:Sigmodontine啮齿动物的DNA条码:识别人畜共患病的野生动物水库。

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摘要

Species identification through DNA barcoding is a tool to be added to taxonomic procedures, once it has been validated. Applying barcoding techniques in public health would aid in the identification and correct delimitation of the distribution of rodents from the subfamily Sigmodontinae. These rodents are reservoirs of etiological agents of zoonoses including arenaviruses, hantaviruses, Chagas disease and leishmaniasis. In this study we compared distance-based and probabilistic phylogenetic inference methods to evaluate the performance of cytochrome c oxidase subunit I (COI) in sigmodontine identification. A total of 130 sequences from 21 field-trapped species (13 genera), mainly from southern Brazil, were generated and analyzed, together with 58 GenBank sequences (24 species; 10 genera). Preliminary analysis revealed a 9.5% rate of misidentifications in the field, mainly of juveniles, which were reclassified after examination of external morphological characters and chromosome numbers. Distance and model-based methods of tree reconstruction retrieved similar topologies and monophyly for most species. Kernel density estimation of the distance distribution showed a clear barcoding gap with overlapping of intraspecific and interspecific densities < 1% and 21 species with mean intraspecific distance < 2%. Five species that are reservoirs of hantaviruses could be identified through DNA barcodes. Additionally, we provide information for the description of a putative new species, as well as the first COI sequence of the recently described genus Drymoreomys. The data also indicated an expansion of the distribution of Calomys tener. We emphasize that DNA barcoding should be used in combination with other taxonomic and systematic procedures in an integrative framework and based on properly identified museum collections, to improve identification procedures, especially in epidemiological surveillance and ecological assessments.
机译:一旦通过验证,通过DNA条形码进行物种鉴定是一种可添加到分类程序中的工具。在公共卫生中应用条形码技术将有助于识别和正确界定来自Sigmodontinae亚科的啮齿动物的分布。这些啮齿动物是人畜共患病的病原体库,包括沙粒病毒,汉坦病毒,恰加斯病和利什曼病。在这项研究中,我们比较了基于距离和概率的系统发育推断方法,以评估细胞色素c氧化酶亚基I(COI)在西格莫定的鉴定中的性能。产生并分析了主要来自巴西南部的21个田间诱捕物种(13属)的130个序列,以及58个GenBank序列(24种; 10属)。初步分析显示,该领域的错误识别率高达9.5%,主要是对少年,在检查了外部形态特征和染色体数目后,对它们进行了重新分类。基于距离和基于模型的树木重建方法可以为大多数物种检索相似的拓扑和单字。距离分布的内核密度估计显示出清晰的条形码间隙,种内和种间密度<1%和平均种内距离<2%的21种重叠。可以通过DNA条形码识别出五种汉坦病毒的宿主。此外,我们提供了有关推定的新物种的描述信息,以及最近描述的Drymoreomys属的第一个COI序列。数据还表明Calomomys tener分布的扩展。我们强调,DNA条形码应与其他分类和系统程序结合使用,并以一个完整的框架为基础,并以适当识别的博物馆馆藏为基础,以改善识别程序,尤其是在流行病学监测和生态评估中。

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