Yan Wenkai, Ma Hongmei, Shi Guitao, Li Yuansheng, Sun Bo, Xiao Xiang, Zhang Yu
School of Life Sciences and Biotechnology, Shanghai Jiao Tong UniversityShanghai, China.
SOA Key Laboratory for Polar Science, Polar Research Institute of ChinaShanghai, China.
Front Microbiol. 2017 Aug 10;8:1534. doi: 10.3389/fmicb.2017.01534. eCollection 2017.
Glacial forelands are extremely sensitive to temperature changes and are therefore appropriate places to explore the development of microbial communities in response to climate-driven deglaciation. In this study, we investigated the bacterial communities that developed at the initial stage of deglaciation using space-for-time substitution in the foreland of an ice sheet in Larsemann Hills. A series of soil samples across the glacial foreland were deeply sequenced with 16S rRNA gene amplicon sequencing to determine the bacterial community, including both abundant bacteria, which contribute more to geobiochemistry, and rare bacteria, which serve as a seed bank for diversity. Our results show that abundant bacterial communities were more sensitive to changing conditions in the early stages of deglaciation than rare community members. Moreover, among the environmental parameters tested, which included total organic carbon, pH, and moisture of the soils, ice thickness was the most influential factor affecting the community structure of abundant bacteria. These results show the different effects of abundant and rare bacteria on community shifts and highlight ice thickness as the primary factor affecting the bacterial community in the early stages of deglaciation. The response of microbial community to climate change can be predicted with more certainty in this polar region.
冰前地带对温度变化极为敏感,因此是探索微生物群落响应气候驱动的冰川消退而发展的合适场所。在本研究中,我们利用时空替代法,对位于拉斯曼丘陵的一个冰盖前沿地区在冰川消退初期形成的细菌群落进行了调查。对一系列跨越冰前地带的土壤样本进行了16S rRNA基因扩增子测序深度分析,以确定细菌群落,包括对地球生物化学贡献更大的优势细菌和作为多样性种子库的稀有细菌。我们的结果表明,在冰川消退早期,优势细菌群落比稀有群落成员对变化的条件更敏感。此外,在所测试的环境参数中,包括土壤的总有机碳、pH值和湿度,冰层厚度是影响优势细菌群落结构的最主要因素。这些结果显示了优势细菌和稀有细菌对群落变化的不同影响,并突出了冰层厚度是冰川消退早期影响细菌群落的主要因素。在这个极地地区,可以更确切地预测微生物群落对气候变化的响应。