Dimensions: Collaborative Research: Anthropogenic nutrient input drives genetic, functional and taxonomic biodiversity in hypereutrophic Lake Taihu, China

人类活动大大增加了许多河流和湖泊的氮输入，导致藻类大量繁殖，威胁到这些水域的经济和娱乐用途。太湖是中国第三大湖，由于过度的营养投入，有毒的蓝藻大量繁殖。本文将研究太湖微生物群落的特征、氮处理能力和活动，以确定是否可以通过这些群落的特征和基因组成来预测氮处理。将测量氮循环的各种组成部分，并将其与具有代表性的分子标记联系起来，再加上高通量基因测序，将提供淡水生态系统中氮循环过程的遗传数据库。该项目的一个目标是将微生物分类、遗传和功能数据连接到一个模型中，该模型可以预测减少营养投入将如何影响有毒的蓝藻繁殖。这一项目将广泛适用于管理受到过度营养投入威胁的水生系统，这一问题在世界范围内日益严重。其他更广泛的影响将包括对高中生、本科生和研究生的培训、国际学生交换、博士后研究员的培训，以及将科学新闻系学生纳入实地研究以提高成人科学素养。

Human activities have dramatically increased nitrogen inputs into many rivers and lakes, causing algal blooms that threaten economic and recreational uses of those waters. Lake Taihu, the third largest lake in China, experiences damaging blooms of toxic cyanobacteria as a result of excessive nutrient inputs. The identities, nitrogen processing capabilities, and activities of microbial communities in Lake Taihu will be examined to determine if nitrogen processing can be predicted from knowledge of the identity and genetic makeup of those communities. Various components of the nitrogen cycle will be measured and linked to representative molecular markers which, coupled with high throughput genetic sequencing, will provide a genetic database of nitrogen-cycling processes in freshwater ecosystems. A goal of the project will be to link microbial taxonomic, genetic, and functional data in a model that can predict how reduction of nutrient inputs will affect toxic cyanobacterial blooms.This project will have broad applicability to the management of aquatic systems that are threatened by excessive nutrient inputs, a problem that is increasing worldwide. Additional broader impacts will include training of high school, undergraduate, and graduate students, international student exchanges, training of a postdoctoral researcher, and incorporation of science journalism students into field studies to promote adult scientific literacy.