Cultivation and quantitative proteomic analyses of acidophilic microbial communities

Cultivation and quantitative proteomic analyses of acidophilic microbial communities
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DOI:
10.1038/ismej.2009.139
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发表时间:
2010-04-01
期刊:
影响因子:
11
通讯作者:
Banfield, Jillian F.
Banfield, Jillian F.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Belnap, Christopher P.;Pan, Chongle;Banfield, Jillian F.

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Acid mine drainage (AMD), an extreme environment characterized by low pH and high metal concentrations, can support dense acidophilic microbial biofilm communities that rely on chemoautotrophic production based on iron oxidation. Field determined production rates indicate that, despite the extreme conditions, these communities are sufficiently well adapted to their habitats to achieve primary production rates comparable to those of microbial communities occurring in some non-extreme environments. To enable laboratory studies of growth, production and ecology of AMD microbial communities, a culturing system was designed to reproduce natural biofilms, including organisms recalcitrant to cultivation. A comprehensive metabolic labeling-based quantitative proteomic analysis was used to verify that natural and laboratory communities were comparable at the functional level. Results confirmed that the composition and core metabolic activities of laboratory-grown communities were similar to a natural community, including the presence of active, low abundance bacteria and archaea that have not yet been isolated. However, laboratory growth rates were slow compared with natural communities, and this correlated with increased abundance of stress response proteins for the dominant bacteria in laboratory communities. Modification of cultivation conditions reduced the abundance of stress response proteins and increased laboratory community growth rates. The research presented here represents the first description of the application of a metabolic labeling-based quantitative proteomic analysis at the community level and resulted in a model microbial community system ideal for testing physiological and ecological hypotheses. The ISME Journal (2010) 4, 520-530; doi:10.1038/ismej.2009.139; published online 24 December 2009