Interactive network configuration maintains bacterioplankton community structure under elevated CO<sub>2</sub> in a eutrophic coastal mesocosm experiment
-
Published:2018-01-29
Issue:2
Volume:15
Page:551-565
-
ISSN:1726-4189
-
Container-title:Biogeosciences
-
language:en
-
Short-container-title:Biogeosciences
Author:
Lin Xin, Huang Ruiping, Li Yan, Li Futian, Wu Yaping, Hutchins David A., Dai MinhanORCID, Gao KunshanORCID
Abstract
Abstract. There is increasing concern about the effects of ocean acidification on
marine biogeochemical and ecological processes and the organisms that drive
them, including marine bacteria. Here, we examine the effects of elevated
CO2 on the bacterioplankton community during a mesocosm experiment using
an artificial phytoplankton community in subtropical, eutrophic coastal
waters of Xiamen, southern China. Through sequencing the bacterial 16S rRNA
gene V3-V4 region, we found that the bacterioplankton community in this high-nutrient coastal environment was relatively resilient to changes in seawater
carbonate chemistry. Based on comparative ecological network analysis, we
found that elevated CO2 hardly altered the network structure of high-abundance bacterioplankton taxa but appeared to reassemble the community
network of low abundance taxa. This led to relatively high resilience of the
whole bacterioplankton community to the elevated CO2 level and
associated chemical changes. We also observed that the Flavobacteria group,
which plays an important role in the microbial carbon pump, showed higher
relative abundance under the elevated CO2 condition during the early
stage of the phytoplankton bloom in the mesocosms. Our results provide new
insights into how elevated CO2 may influence bacterioplankton community
structure.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
Reference54 articles.
1. Allgaier, M., Riebesell, U., Vogt, M., Thyrhaug, R., and Grossart, H.-P.: Coupling of heterotrophic bacteria to
phytoplankton bloom development at different pCO2 levels: a mesocosm study, Biogeosciences, 5, 1007–1022, https://doi.org/10.5194/bg-5-1007-2008, 2008. 2. Anderson, M. J.: A new method for non-parametric multivariate analysis of
variance, Austral Ecol., 26, 32–46,
https://doi.org/10.1046/j.1442-9993.2001.01070.x, 2001. 3. Azam, F.: Microbial control of oceanic carbon flux: the plot thickens,
Science, 280, 694–696, https://doi.org/10.1126/science.280.5364.694,
1998. 4. Baltar, F., Palovaara, J., Vila-Costa, M., Salazar, G., Calvo, E., Pelejero,
C., Marrasé, C., Gasol, J. M., and Pinhassil, J.: Response of rare,
common and abundant bacterioplankton to anthropogenic perturbations in a
Mediterranean coastal site, FEMS Microbiol. Ecol., 91, 1–12,
https://doi.org/10.1093/femsec/fiv058, 2015. 5. Buchan, A., LeCleir, G. R., Gulvik, C. A., and González, J. M.: Master
recyclers: features and functions of bacteria associated with phytoplankton
blooms, Nat. Rev. Microbiol., 12, 686–698, https://doi.org/10.1038/nrmicro3326,
2014.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|