2014
DOI: 10.1038/ismej.2014.113
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Elevated temperature alters proteomic responses of individual organisms within a biofilm community

Abstract: Microbial communities that underpin global biogeochemical cycles will likely be influenced by elevated temperature associated with environmental change. Here, we test an approach to measure how elevated temperature impacts the physiology of individual microbial groups in a community context, using a model microbial-based ecosystem. The study is the first application of tandem mass tag (TMT)-based proteomics to a microbial community. We accurately, precisely and reproducibly quantified thousands of proteins in … Show more

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Cited by 56 publications
(38 citation statements)
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References 83 publications
(71 reference statements)
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“…The different response to elevation suggest a niche differentiation in autotrophic microbial communities. The niche differentiation, which has been observed in a biofilm (Mosier et al 2015), could provide ecological insurance for microbial autotrophs under the harsh environments.…”
Section: Discussionmentioning
confidence: 99%
“…The different response to elevation suggest a niche differentiation in autotrophic microbial communities. The niche differentiation, which has been observed in a biofilm (Mosier et al 2015), could provide ecological insurance for microbial autotrophs under the harsh environments.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, a recent study has assessed the effect of elevated temperatures on proteomic responses of individual organisms within a biofilm community (Mosier et al 2014). An application of these methods would produce insights into cyanobacteria in cryptic niches.…”
Section: Discussionmentioning
confidence: 99%
“…An important motivation for recovery of genomes from the metagenomes is that protein sequences can be predicted in organism context and used in mass spectrometry studies to identify proteins that are highly abundant in microbial cells (Brooks et al, 2015; Mosier et al, 2015). This information, in combination with metabolite concentrations measured through the soil profile, enables identification of the organisms, pathways and spatial distribution of carbon turnover processes at the time of sample collection.…”
Section: Introductionmentioning
confidence: 99%