The Barcoding project: development of mass sequencing workflows.

环境样本中物种的确定是目前生态学家在物种水平上研究生物多样性的主要障碍之一。从专家分类学家那里获得数据是非常困难、耗时的，而且往往是昂贵的。因此，dna条形码是一种在生态研究和保护生物学方面实现巨大飞跃的方法。然而，在过去的几年里，我们经历了专家分类学家对条形码项目的合作犹豫不决，主要是因为他们害怕被机器取代（尽管没有机器拥有专家的生物知识）。这是条码数据库增长缓慢的原因之一。对德国来说，新的全球动植物分类项目将致力于为德国动物群编制一个数据库。为了规避这些障碍，我们建议开发使用Exploratories双翅目的大规模测序和反向分类的工作流程，以使其更加独立于不完整的数据库，并提高样本分析的成本效率。从我们的角度来看，这是在复杂群落中有效获取物种水平数据的最佳方法。

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.