面向微生物与全球变化研究的泛第三极环境数据中心建设

刘勇勤1,2,* , 刘军志1 , 原彬杰3 , 张国庆4 , 陈 蕾3 , 计慕侃1 , 刘鹏飞1 , 邢 鹏5 , 田少艺1 , 邓永翠3,6
1兰州大学泛第三极环境中心,兰州 730000 2中国科学院青藏高原研究所,青藏高原地球系统与资源环境全国重点实 验室,北京 100101 3南京师范大学地理科学学院,南京 210023 4中国科学院上海营养与健康研究所,上海 200031 5中国科学院南京地理与湖泊研究所,南京 210008 6江苏省地理信息资源开发与利用协同创新中心,南京 210023

摘 要:

环境微生物学是生命科学与地球科学的交叉学科,近年来发展迅速且得到学术界和社会的广泛关注,但现有数据共享平台难以同时支持微生物数据和地学空间数据的高效组织和管理。针对该问题,在第二次青藏高原综合科学考察研究任务五专题三支持下,兰州大学建设了泛第三极环境数据中心,实现了Web 环境下16S rRNA 基因、宏病毒组和宏基因组等环境微生物数据与相关环境因子数据的集成、管理和查询,并以地图形式直观地展示样点空间分布,为用户提供了便捷、易用的数据共享平台。中心未来将继续完善平台的在线数据可视化和分析功能,以更好地服务于环境微生物和全球变化研究。

通讯作者:刘勇勤 , Email:yql@lzu.edu.cn

Establishment of the Pan-Third Pole environmental data center for microbiology and global change research
LIU Yong-Qin1,2,* , LIU Jun-Zhi1 , YUAN Bin-Jie3 , ZHANG Guo-Qing4 , CHEN Lei3 , JI Mu-Kan1 , LIU Peng-Fei1 , XING Peng5 , TIAN Shao-Yi1 , DENG Yong-Cui3,6
1Center for the Pan-Third Pole Environment, Lanzhou University, Lanzhou 730000, China 2State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China 3School of Geography, Nanjing Normal University, Nanjing 210023, China 4Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China 5Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China 6Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Abstract:

Environmental microbiology is an interdisciplinary field that combines life sciences with earth sciences. In recent years, it has rapidly evolved, garnering extensive attention from both academia and society. However, existing data-sharing platforms struggle to efficiently organize and manage both microbial data and geospatial data. To address this problem, Lanzhou University has established the Pan-Third Pole Environmental Data Center under the support of Theme III of Task V of the Second Comprehensive Scientific Expedition to the Tibetan Plateau. This data center achieved the integration, management and querying of environmental microbiological data such as 16S rRNA genes, viromes, metagenomes, and related environmental factor data in a web environment. It visually showcases the spatial distribution of sampling points on maps, providing users with a convenient and user-friendly data-sharing platform. Moving forward, the center aims to further enhance the platform's online data visualization and analytical capabilities to better serve research in environmental microbiology and global change.

Communication Author:LIU Yong-Qin , Email:yql@lzu.edu.cn

Back to top