In order to determine the practicability of developing a protocol for bioassessing polar marine environment based on network analysis, microplankton communities and co-occurrence patterns at Ardley Cove and Great Wall Cove (King George Island, Antarctica) were studied in January 2016 through high-through sequencing. The spatial patterns and significant differences between community structures in two coves clearly reflect those in environmental heterogeneity. Moreover, both coves had their discriminated network structure and keystones. Then multivariate analyses to quantify the relationship between environmental variation and planktonic microbes response, give further evidence that nitrate and temperature, alone or in combination with other several parameters, structuring the communities respectively indeed. This study presents the first detailed description on co-occurrence networks between microbes and local environmental parameters in Antarctic coastal water. These findings suggest that co-occurrence networks based on planktonic microbes have the robust potential to assess environmental heterogeneity in polar marine ecosystem.

为了确定基于网络分析开发用于生物评估极地海洋环境的协议的可行性，2016年1月通过高通量研究了阿德利湾和长城湾（南极乔治岛）的微浮游生物群落和共现模式。排序。两个海湾社区结构之间的空间格局和显着差异清楚地反映了环境异质性。此外，两个小海湾都有各自的网络结构和基石。然后进行多变量分析以量化环境变化与浮游微生物反应之间的关系，进一步证明硝酸盐和温度单独或与其他几个参数结合确实构成了群落。本研究对南极沿海水域中微生物与当地环境参数之间的共现网络进行了首次详细描述。这些发现表明，基于浮游微生物的共生网络具有评估极地海洋生态系统中环境异质性的强大潜力。