首页> 美国卫生研究院文献>other >Next-Generation Sequencing of Aquatic Oligochaetes: Comparison of Experimental Communities
【2h】

Next-Generation Sequencing of Aquatic Oligochaetes: Comparison of Experimental Communities

机译:水生寡头类的下一代测序:实验社区的比较

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Aquatic oligochaetes are a common group of freshwater benthic invertebrates known to be very sensitive to environmental changes and currently used as bioindicators in some countries. However, more extensive application of oligochaetes for assessing the ecological quality of sediments in watercourses and lakes would require overcoming the difficulties related to morphology-based identification of oligochaetes species. This study tested the Next-Generation Sequencing (NGS) of a standard cytochrome c oxydase I (COI) barcode as a tool for the rapid assessment of oligochaete diversity in environmental samples, based on mixed specimen samples. To know the composition of each sample we Sanger sequenced every specimen present in these samples. Our study showed that a large majority of OTUs (Operational Taxonomic Unit) could be detected by NGS analyses. We also observed congruence between the NGS and specimen abundance data for several but not all OTUs. Because the differences in sequence abundance data were consistent across samples, we exploited these variations to empirically design correction factors. We showed that such factors increased the congruence between the values of oligochaetes-based indices inferred from the NGS and the Sanger-sequenced specimen data. The validation of these correction factors by further experimental studies will be needed for the adaptation and use of NGS technology in biomonitoring studies based on oligochaete communities.
机译:水生低毛螯虾是一组常见的淡水底栖无脊椎动物,已知对环境变化非常敏感,目前在某些国家用作生物指示剂。然而,寡聚类在评估水道和湖泊沉积物的生态质量方面更广泛的应用将需要克服与基于形态的寡聚类物种识别有关的困难。这项研究测试了标准细胞色素c氧化酶I(COI)条码的下一代测序(NGS),该条形码可作为基于混合标本样品快速评估环境样品中寡毛diversity多样性的工具。为了了解每个样品的组成,我们桑格对这些样品中存在的每个样品进行了测序。我们的研究表明,NGS分析可以检测到大多数OTU(操作分类单位)。我们还观察到了NGS和几个但不是全部OTU的样本丰度数据之间的一致性。由于样品中序列丰度数据的差异是一致的,因此我们利用这些变化来凭经验设计校正因子。我们表明,这些因素增加了从NGS推断出的基于寡聚类的指数值与Sanger测序的标本数据之间的一致性。在基于寡毛类群落的生物监测研究中,NGS技术的适应和使用将需要通过进一步的实验研究来验证这些校正因子。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号