The Barcoding project: development of mass sequencing workflows.

条形码项目：大规模测序工作流程的开发。

• 批准号: 252243360
• 负责人: Professor Dr. Wolfgang W. Weisser
• 金额: --
• 依托单位: Leibniz-Institut zur Analyse des Biodiversitätswandels (LIB)
• 依托单位国家: 德国
• 项目类别: Infrastructure Priority Programmes
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/252243360?language=en
• 关键词: Barcoding; project; development; mass; sequencing

The determination of species in environmental samples is currently one of the major impediments whenever ecologists want to study biodiversity at species level. It is very difficult, time-consuming, and often expensive to get data from expert taxonomists. DNA-barcoding is therefore a method that will allow a quantum leap in ecological research and conservation biology. However, during the past years we experienced that expert taxonomists hesitate to cooperate in barcoding projects, mainly because they fear to be replaced by machines (though no machine has the biological knowledge of an expert). This is one of the reasons why barcode databases only grow slowly. For Germany, the new GBOL project will pursue the compilation of a database for the German fauna. To circumvent the impediments, we propose to develop workflows for mass sequencing and reverse taxonomy using Diptera from the Exploratories to become more independent of incomplete databases and to improve the cost-efficiency of sample analyses. From our point of view this is the best way to get efficiently data at species level for complex communities.

环境样本中物种的确定是目前生态学家想要在物种水平上研究生物多样性的主要障碍之一。从专业分类学家那里获得数据是非常困难、耗时且通常昂贵的。因此，DNA条形码是一种将使生态研究和保护生物学实现飞跃的方法。然而，在过去的几年里，我们经历了专家分类学家犹豫合作条形码项目，主要是因为他们害怕被机器取代（尽管没有机器具有专家的生物学知识）。这就是为什么条码数据库增长缓慢的原因之一。对于德国，新的GBOL项目将致力于为德国动物群建立一个数据库。为了规避这些障碍，我们建议开发工作流程，使用来自Exploratories的双翅目进行大规模测序和反向分类，以更加独立于不完整的数据库，并提高样品分析的成本效益。从我们的角度来看，这是在物种水平上有效获取复杂群落数据的最佳方法。