Limnological Institute, Siberian Branch of the Russian Academy of Sciences, 3, Ulan-Batorskaya, Irkutsk, Russia, 664033.
Microb Ecol. 2019 Jan;77(1):96-109. doi: 10.1007/s00248-018-1212-2. Epub 2018 Jun 7.
The pelagic zone of Lake Baikal is an ecological niche where phytoplankton bloom causes increasing microbial abundance in spring which plays a key role in carbon turnover in the freshwater lake. Co-occurrence patterns revealed among different microbes can be applied to predict interactions between the microbes and environmental conditions in the ecosystem. We used 454 pyrosequencing of 16S rRNA and 18S rRNA genes to study bacterial and microbial eukaryotic communities and their co-occurrence patterns at the pelagic zone of Lake Baikal during a spring phytoplankton bloom. We found that microbes within one domain mostly correlated positively with each other and are highly interconnected. The highly connected taxa in co-occurrence networks were operational taxonomic units (OTUs) of Actinobacteria, Bacteroidetes, Alphaproteobacteria, and autotrophic and unclassified Eukaryota which might be analogous to microbial keystone taxa. Constrained correspondence analysis revealed the relationships of bacterial and microbial eukaryotic communities with geographical location.
贝加尔湖的远洋带是一个生态小生境，浮游植物的大量繁殖导致春季微生物丰度的增加，这在淡水湖中碳的转化中起着关键作用。不同微生物之间的共存模式可以应用于预测微生物与生态系统中环境条件之间的相互作用。我们使用 454 焦磷酸测序对 16S rRNA 和 18S rRNA 基因进行测序，以研究贝加尔湖远洋带浮游植物春繁期间的细菌和微生物真核生物群落及其共存模式。我们发现，同一域内的微生物大多相互呈正相关，且高度相互关联。共存网络中高度关联的分类单元是放线菌、拟杆菌门、α变形菌门和自养及未分类真核生物的操作分类单元（OTUs），它们可能类似于微生物关键类群。约束对应分析揭示了细菌和微生物真核生物群落与地理位置的关系。
