The Barcoding project: development of mass sequencing workflows.

目前，当生态学家想要在物种水平上研究生物多样性时，环境样品中物种的确定是主要障碍之一。从专家分类学家那里获得数据非常困难、耗时，而且往往很昂贵。因此，DNA条形码是一种可以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在条形码项目中的合作犹豫不决，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学知识)。这就是条形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汇编一个数据库。为了绕过这些障碍，我们建议开发使用探索实验室的Diptera进行大规模测序和反向分类的工作流程，以变得更加独立于不完整的数据库，并提高样本分析的成本效益。从我们的观点来看，这是获得复杂群落物种水平有效数据的最佳方式。

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.