Lake microbial communities are resilient after a whole-ecosystem disturbance

被引:0
|
作者
Ashley Shade
Jordan S Read
Nicholas D Youngblut
Noah Fierer
Rob Knight
Timothy K Kratz
Noah R Lottig
Eric E Roden
Emily H Stanley
Jesse Stombaugh
Rachel J Whitaker
Chin H Wu
Katherine D McMahon
机构
[1] Microbiology Doctoral Training Program,Department of Civil and Environmental Engineering
[2] University of Wisconsin–Madison,Department of Microbiology
[3] University of Wisconsin–Madison,Department of Ecology and Evolutionary Biology
[4] University of Illinois Urbana-Champaign,Department of Chemistry and Biochemistry
[5] University of Colorado,Department of Bacteriology
[6] Cooperative Institute for Research in Environmental Sciences,undefined
[7] University of Colorado,undefined
[8] University of Colorado,undefined
[9] Howard Hughes Medical Institute,undefined
[10] Trout Lake Station,undefined
[11] University of Wisconsin–Madison,undefined
[12] Department of Geoscience,undefined
[13] University of Wisconsin,undefined
[14] Center for Limnology,undefined
[15] University of Wisconsin–Madison,undefined
[16] Current address: Department of Molecular Cellular and Developmental Biology,undefined
[17] Yale University,undefined
[18] Kline Biology Tower Room. 908,undefined
[19] 219 Prospect Street,undefined
[20] New Haven,undefined
[21] CT 06520-8103,undefined
[22] USA.,undefined
来源
The ISME Journal | 2012年 / 6卷
关键词
beta diversity; pyrosequencing; ARISA; time series; resistance; robustness;
D O I
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中图分类号
学科分类号
摘要
Disturbances act as powerful structuring forces on ecosystems. To ask whether environmental microbial communities have capacity to recover after a large disturbance event, we conducted a whole-ecosystem manipulation, during which we imposed an intense disturbance on freshwater microbial communities by artificially mixing a temperate lake during peak summer thermal stratification. We employed environmental sensors and water chemistry analyses to evaluate the physical and chemical responses of the lake, and bar-coded 16S ribosomal RNA gene pyrosequencing and automated ribosomal intergenic spacer analysis (ARISA) to assess the bacterial community responses. The artificial mixing increased mean lake temperature from 14 to 20 °C for seven weeks after mixing ended, and exposed the microorganisms to very different environmental conditions, including increased hypolimnion oxygen and increased epilimnion carbon dioxide concentrations. Though overall ecosystem conditions remained altered (with hypolimnion temperatures elevated from 6 to 20 °C), bacterial communities returned to their pre-manipulation state as some environmental conditions, such as oxygen concentration, recovered. Recovery to pre-disturbance community composition and diversity was observed within 7 (epilimnion) and 11 (hypolimnion) days after mixing. Our results suggest that some microbial communities have capacity to recover after a major disturbance.
引用
收藏
页码:2153 / 2167
页数:14
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