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首页> 外文期刊>Biochemical Systematics and Ecology >DNA barcode assessment of Mediterranean mayflies (Ephemeroptera), benchmark data for a regional reference library for rapid biomonitoring of freshwaters
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DNA barcode assessment of Mediterranean mayflies (Ephemeroptera), benchmark data for a regional reference library for rapid biomonitoring of freshwaters

机译:地中海may(Ephemeroptera)的DNA条码评估,用于快速淡水生物监测的区域参考库的基准数据

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Accurate identification of aquatic species is fundamental to freshwater research. In this paper, we targeted Ephemeroptera, a key taxonomic insect group for biomonitoring of water bodies and present an overview on the efficacy of the DNA barcoding approach to document species identity in the Mediterranean region. We sequenced the mitochondrial cytochrome c oxidase (COI) in 39 nominal species. Sample discrimination and species identification were investigated by evaluating haplotype identity and similarity, intra-/ interspecific genetic distances, optimal identification of barcoding gap thresholds, estimates of species monophyly and comparative species matches on available reference libraries. The resolving power of the obtained data was discussed in the light of statistical tools such as Spider R-package and Poisson Tree Processes. High levels of species identification were achieved with all the used methodologies, and the occurrence of cryptic species was suggested. We conclude that DNA barcoding is a powerful tool for taxonomic research in Mediterranean mayflies, with great promise to ameliorate biodiversity inventories of freshwater ecosystems and to provide the necessary accuracy for water quality assessment programs. Our results further indicated we need to upgrade the current regional mayfly diversity knowledge. The development of a Mediterranean reference library could integrate this new information system. (C) 2015 Elsevier Ltd. All rights reserved.
机译:准确识别水生物种是淡水研究的基础。在本文中,我们针对的是星翅目,这是一个主要的水生生物监测昆虫分类学,并概述了DNA条形码方法对地中海地区物种识别的有效性。我们对39个正常物种中的线粒体细胞色素C氧化酶(COI)进行了测序。通过评估单体型同一性和相似性,种内/种间遗传距离,条形码缺口阈值的最佳识别,物种单方面的估计以及可用参考库中的比较物种匹配,对样品的鉴别和物种识别进行了研究。根据统计工具(例如Spider R-package和Poisson Tree Processs)讨论了所获得数据的解析能力。使用所有使用的方法,都可以实现高水平的物种识别,并且暗示了隐性物种的发生。我们得出的结论是,DNA条形码是地中海可能进行分类学研究的有力工具,有望改善淡水生态系统的生物多样性清单,并为水质评估计划提供必要的准确性。我们的结果进一步表明,我们需要升级当前的区域may蝇多样性知识。地中海参考图书馆的发展可以整合这一新的信息系统。 (C)2015 Elsevier Ltd.保留所有权利。

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