Sobel Jonathan, Henry Luc, Rotman Nicolas, Rando Gianpaolo
Hackuarium Association, Renens, Switzerland.
F1000Res. 2017 Sep 11;6:1676. doi: 10.12688/f1000research.12564.2. eCollection 2017.
Next generation sequencing has radically changed research in the life sciences, in both academic and corporate laboratories. The potential impact is tremendous, yet a majority of citizens have little or no understanding of the technological and ethical aspects of this widespread adoption. We designed BeerDeCoded as a pretext to discuss the societal issues related to genomic and metagenomic data with fellow citizens, while advancing scientific knowledge of the most popular beverage of all. In the spirit of citizen science, sample collection and DNA extraction were carried out with the participation of non-scientists in the community laboratory of Hackuarium, a not-for-profit organisation that supports unconventional research and promotes the public understanding of science. The dataset presented herein contains the targeted metagenomic profile of 39 bottled beers from 5 countries, based on internal transcribed spacer (ITS) sequencing of fungal species. A preliminary analysis reveals the presence of a large diversity of wild yeast species in commercial brews. With this project, we demonstrate that coupling simple laboratory procedures that can be carried out in a non-professional environment with state-of-the-art sequencing technologies and targeted metagenomic analyses, can lead to the detection and identification of the microbial content in bottled beer.
下一代测序技术已经彻底改变了生命科学领域的研究，无论是在学术实验室还是企业实验室。其潜在影响是巨大的，但大多数公民对这种广泛应用的技术和伦理方面知之甚少或一无所知。我们设计了“啤酒解码”项目，以此为契机与普通公民讨论与基因组和宏基因组数据相关的社会问题，同时增进对最受欢迎饮品的科学认识。本着公民科学的精神，样本采集和DNA提取工作是在非营利组织“黑客水族馆”的社区实验室中，在非科学家的参与下完成的，该组织支持非传统研究并促进公众对科学的理解。本文展示的数据集包含了来自5个国家的39种瓶装啤酒基于真菌物种内部转录间隔区（ITS）测序的靶向宏基因组图谱。初步分析表明，商业酿造啤酒中存在大量野生酵母物种。通过这个项目，我们证明了将可在非专业环境中进行的简单实验室程序与先进的测序技术及靶向宏基因组分析相结合，能够检测和识别瓶装啤酒中的微生物成分。
