Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, MD 21613, USA.
Proc Natl Acad Sci U S A. 2009 Dec 15;106(50):21208-12. doi: 10.1073/pnas.0906149106. Epub 2009 Nov 25.
Natural bacterial communities are extremely diverse and highly dynamic, but evidence is mounting that the compositions of these communities follow predictable temporal patterns. We investigated these patterns with a 3-year, circumpolar study of bacterioplankton communities in the six largest rivers of the pan-arctic watershed (Ob', Yenisey, Lena, Kolyma, Yukon, and Mackenzie), five of which are among Earth's 25 largest rivers. Communities in the six rivers shifted synchronously over time, correlating with seasonal shifts in hydrology and biogeochemistry and clustering into three groups: winter/spring, spring freshet, and summer/fall. This synchrony indicates that hemisphere-scale variation in seasonal climate sets the pace of variation in microbial diversity. Moreover, these seasonal communities reassembled each year in all six rivers, suggesting a long-term, predictable succession in the composition of big river bacterioplankton communities.
自然细菌群落极其多样且高度动态,但越来越多的证据表明,这些群落的组成遵循可预测的时间模式。我们通过对泛北极流域(鄂毕河、叶尼塞河、勒拿河、科雷马河、育空河和麦肯齐河)六大河流中的浮游细菌群落进行为期 3 年的环极研究来调查这些模式,其中有五条河流是世界上 25 条最大的河流之一。这六条河流中的群落随时间同步变化,与水文学和生物地球化学的季节性变化相关,并聚类为三组:冬季/春季、春季融雪和夏季/秋季。这种同步性表明,半球尺度季节性气候的变化决定了微生物多样性变化的节奏。此外,这六个河流中的季节性群落每年都在重新组合,这表明大河浮游细菌群落的组成具有长期的、可预测的演替。