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Systematics of Spiny Predatory Katydids (Tettigoniidae: Listroscelidinae) from the Brazilian Atlantic Forest Based on Morphology and Molecular Data

机译:基于形态学和分子数据的来自巴西大西洋森林的多刺掠食性Kat科动物(Tettigoniidae:Listroscelidinae)的系统学

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摘要

Listroscelidinae (Orthoptera: Tettigoniidae) are insectivorous Pantropical katydids whose taxonomy presents a long history of controversy, with several genera incertae sedis. This work focused on species occurring in the Brazilian Atlantic Forest, one of the world's most threatened biomes. We examined material deposited in scientific collections and visited 15 conservation units from Rio de Janeiro to southern Bahia between November 2011 and January 2012, catching 104 specimens from 10 conservation units. Based on morphological and molecular data we redefined Listroscelidini, adding a new tribe, new genus and eight new species to the subfamily. Using morphological analysis, we redescribed and added new geographic records for six species, synonymized two species and built a provisional identification key for the Atlantic Forest Listroscelidinae. Molecular results suggest two new species and a new genus to be described, possibly by the fission of the genus Hamayulus. We also proposed a 500 bp region in the final portion of the COI to be used as a molecular barcode. Our data suggest that the Atlantic Forest Listroscelidinae are seriously endangered, because they occur in highly preserved forest remnants, show high rates of endemism and have a narrow geographic distribution. Based on our results, we suggest future collection efforts must take into account the molecular barcode data to accelerate species recognition.
机译:Listroscelidinae(直翅目:Tettigoniidae)是食虫的全热带ka科动物,其分类学存在悠久的历史争议,有多个属不安全。这项工作的重点是在巴西大西洋森林(世界上最受威胁的生物群落之一)中发生的物种。我们检查了存放在科学馆藏中的材料,并在2011年11月至2012年1月之间访问了从里约热内卢到巴伊亚州南部的15个保护单位,从10个保护单位中采集了104个标本。根据形态和分子数据,我们重新定义了李斯特菌属,为该亚科增加了一个新部落,一个新属和八个新物种。使用形态学分析,我们重新描述并添加了六个物种的新地理记录,将两个物种同义词化,并为大西洋森林李氏杆菌建立了临时识别码。分子结果表明可能描述了两个新物种和一个新属,可能是哈马育斯属的裂变。我们还建议在COI的最后部分中使用500 bp的区域作为分子条形码。我们的数据表明,大西洋森林李氏杆菌科受到严重威胁,因为它们发生在高度保存的森林残留物中,显示出高特有度,地理分布狭窄。根据我们的结果,我们建议未来的采集工作必须考虑分子条形码数据,以加快物种识别。

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