Dataset Information

Oyster shotgun proteomics - Quantitative proteomics of heavy metal stress responses in Sydney rock oysters

ABSTRACT: Shotgun proteomics on heavy metal stress responses in Saccostrea glomerata

INSTRUMENT(S): instrument model, LTQ, LTQ XL

ORGANISM(S): Saccostrea Glomerata

SUBMITTER: Sridevi Muralidharan

PROVIDER: PRD000519 | Pride | 2013-04-24

REPOSITORIES: Pride

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Quantitative proteomics of heavy metal stress responses in Sydney rock oysters.

Muralidharan Sridevi S Thompson Emma E Raftos David D Birch Gavin G Haynes Paul A PA

Proteomics 20120301 6

Currently, there are few predictive biomarkers in key biomonitoring species, such as oysters, that can detect heavy metal pollution in coastal waterways. Several attributes make oysters superior to other organisms for positive biomonitoring of heavy metal pollution. In particular, they are filter feeders with a high capacity for bioaccumulation. In this study, we used two proteomics approaches, namely label-free shotgun proteomics based on SDS-PAGE gel separation and gas phase fractionation, to ...[more]

PMID: 22539440

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Project description:Background: The high number of heavy metal resistance genes in the soil bacterium Cupriavidus metallidurans CH34 makes it an interesting model organism to study microbial responses to heavy metals. Results: In this study the transcriptional response of this bacterium was measured after challenging it to a wide range of sub-lethal concentrations of various essential or toxic metals. Considering the global transcriptional responses for each challenge as well as by identifying the overlap in upregulated genes between different metal responses, the sixteen metals could be clustered in three different groups. Additionally, next to the assessment of the transcriptional response of already known metal resistance genes, new metal response gene clusters were identified. The majority of the metal response loci showed similar expression profiles when cells were exposed to different metals, suggesting complex cross-talk at transcriptional level between the different metal responses. The highly redundant nature of these metal resistant regions – illustrated by the large number of paralogous genes – combined with the phylogenetic distribution of these metal response regions within evolutionary related and other metal resistant bacteria, provides important insights on the recent evolution of this naturally soil dwelling bacterium towards a highly metal-resistant strain found in harsh and anthropogenic environments. Conclusions: The metal-resistant soil bacterium Cupriavidus metallidurans CH34 displays myriads of gene expression patterns when exposed to a wide range of heavy metals at non-lethal concentrations. The interplay between the different gene expression clusters points towards a complex cross-regulated regulatory network governing heavy metal resistance in C. metallidurans CH34. Keywords: Cupriavidus metallidurans CH34, transcriptional regulation, heavy metal resistance Two-condition experiments. Comparing samples after induction with heavy metals versus non-induced samples. Biological duplicate or triplicate. Each array contains 3 or 4 technical replicates.

Dataset Information

Oyster shotgun proteomics - Quantitative proteomics of heavy metal stress responses in Sydney rock oysters

Publications

Quantitative proteomics of heavy metal stress responses in Sydney rock oysters.

Similar Datasets

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