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A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA

机译:阿巴拉契亚州淡水浮游生物的元条形码普查–美国弗吉尼亚州自然隧道州立公园

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The purpose of our study was to survey the freshwater planktonic protists within an inland natural preserve in the Ridge and Valley physiographic province of the Appalachian Region using metabarcoding. Microbial eukaryotes are essential primary producers and predators in small freshwater ecosystems, yet they are often overlooked due to the difficulty of identification. This has been remedied, in part, by the cost reduction of high throughput DNA sequencing and the growth of barcode databases, making the identification and analysis of microorganisms by way of metabarcoding surveys in complex ecosystems increasingly feasible. Water samples were collected from five sites at the Natural Tunnel State Park in Scott County, VA (USA), representing three common bodies of water found in this region. Samples were initially collected during a Bioblitz event in April 2016 and then seven and fourteen weeks afterwards. Metabarcode analysis of the 23S and 18S genes identified 3663 OTUs representing 213 family level and 332 genus level taxa. This study provides an initial barcode census within a region that has a reputation as a temperate biodiversity “hotspot”. The overall protist diversity was comparably high to other temperate systems, but not unusually high; the microalgal diversity, however, was higher than that reported for other temperate regions. The three types of water bodies had their own distinctive protist biomes despite close proximity.
机译:我们研究的目的是使用超分子条形码技术调查阿巴拉契亚地区山脊和山谷地理省内陆自然保护区内的淡水浮游生物。微生物真核生物是小型淡水生态系统中必不可少的主要生产者和掠食者,但由于难以鉴定,它们常常被忽视。通过高通量DNA测序的成本降低和条形码数据库的增长,这在一定程度上已得到纠正,这使得通过复杂生态系统中的元条形码调查进行微生物鉴定和分析变得越来越可行。从弗吉尼亚州斯科特县(美国)自然隧道州立公园的五个地点采集了水样,代表了该地区发现的三种常见水体。样本最初是在2016年4月的一次Bioblitz活动期间收集的,然后在7和14周后收集。对23S和18S基因的元条形码分析确定了3663个OTU,分别代表213个家族水平和332个属水平的分类单元。这项研究提供了以温带生物多样性“热点”而闻名的区域内的初始条形码普查。与其他温带系统相比,整体的生物多样性较高,但异常高。然而,微藻的多样性高于其他温带地区的报道。尽管距离很近,但三种水体都有自己独特的原生生物群落。

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