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. 2013 Aug;12(8):2266-77.
doi: 10.1074/mcp.M112.025817. Epub 2013 May 12.

Quantitative proteomics reveals the temperature-dependent proteins encoded by a series of cluster genes in thermoanaerobacter tengcongensis

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Quantitative proteomics reveals the temperature-dependent proteins encoded by a series of cluster genes in thermoanaerobacter tengcongensis

Zhen Chen et al. Mol Cell Proteomics. 2013 Aug.

Abstract

Comprehensive and quantitative information of the thermophile proteome is an important source for understanding of the survival mechanism under high growth temperature. Thermoanaerobacter tengcongensis (T. tengcongensis), a typical anaerobic thermophilic eubacterium, was selected to quantitatively evaluate its protein abundance changes in response to four different temperatures. With optimized procedures of isobaric tags for relative and absolute quantitation quantitative proteomics (iTRAQ), such as peptide fractionation with high-pH reverse phase (RP) high performance liquid chromatography (HPLC), tandem MS acquisition mode in LTQ Orbitrap Velos MS, and evaluation of the quantification algorithms, high quality of the quantitative information of the peptides identified were acquired. In total, 1589 unique proteins were identified and defined 251 as the temperature-dependent proteins. Analysis of genomic locations toward the correspondent genes of these temperature-dependent proteins revealed that more than 30% were contiguous units with relevant biological functions, which are likely to form the operon structures in T. tengcongensis. The RNA sequencing (RNA-seq) data further demonstrated that these cluster genes were cotranscribed, and their mRNA abundance changes responding to temperature exhibited the similar trends as the proteomic results, suggesting that the temperature-dependent proteins are highly associated with the correspondent transcription status. Hence, the operon regulation is likely an energy-efficient mode for T. tengcongensis survival. In addition, evaluation to the functions of differential proteomes indicated that the abundance of the proteins participating in sulfur-respiration on the plasma membrane was decreased as the temperature increased, whereas the glycolysis-related protein abundance was increased. The energy supply in T. tengcongensis at high temperature is, therefore, speculated not mainly through the respiration chain reactions.

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Figures

Fig. 1.
Fig. 1.
Optimizing the MS/MS settings in LTQ Orbitrap Velos MS for identification and quantification of the iTRAQ-labeled peptides. A, Comparison of the identified unique peptides (left panel) or proteins (right panel) between CID and HCD acquisition mode. B, Comparison of the CVs of the quantitative signals for the identified unique peptides (left panel) or proteins (right panel) using the different NCEs upon HCD acquisition mode.
Fig. 2.
Fig. 2.
Evaluation of three software programs, Isobar, IsobariQ and ProteinPilot, for quantitative analysis to the iTRAQ-labeled peptides. A data set of raw MS/MS was made for quantitative comparison of the differential proteins in T. tengcongensis cultured at 55 and 75 °C. The three software programs were employed to analyze the same dataset. A, The CVs distribution for all the proteins quantitatively determined. B, The correlation of the quantitative values for all the identified proteins between replicated injections.
Fig. 3.
Fig. 3.
Analysis of COGs to the temperature-dependent proteins of T. tengcongensis. The blank boxes represent distribution of the functional categories for the genes annotated from the T. tengcongensis genome, and the black boxes indicate distribution of the functional categories for the temperature-dependent proteins in this bacterium. A, The consecutively up-regulated proteins, B, the consecutively down-regulated proteins, C, the concave-regulated proteins, and D, the bell-regulated proteins.
Fig. 4.
Fig. 4.
The genomic localization for the genes correspondent to the temperature-dependent proteins that were filtered by cluster analysis. Central panel represents the genomics localization for the temperature-dependent proteins, red (the consecutively up-regulated proteins), blue (the bell-regulated proteins), yellow (the concave-regulated proteins), and green (the consecutively down-regulated proteins). Right and left panels represent the fold changes of abundance of each temperature-dependent protein. The right panel covers the cluster genes from TTE0008 to TTE0975, and the left panel contains the cluster genes from TTE1533 to TTE2675. The lower panel with color gradient represents the changes of protein abundance from down-regulated (green) to up-regulated (red).
Fig. 5.
Fig. 5.
Correlation analysis of the quantitative mRNAs and proteins to the temperature-dependent proteins of T. tengcongensis. A, Sequence coverage plots based on the RNA-seq raw data to the two typical gene clusters elicited from the quantitative proteomics for the temperature-dependent proteins of T. tengcongensis. Upper panel shows the gene cluster of TTE0579-TTE0580 containing the consecutively up-regulated proteins; and lower panel shows the gene cluster of TTE1995-TTE1997 containing the consecutively down-regulated proteins. The gray shade represents the quantitative mRNAs at 75 °C, and the black shade represents the quantitative mRNAs at 55 °C. B, Heatmap analysis to the temperature-dependent proteins of T. tengcongensis on the basis of the relative abundance (log2 (ratios)) of mRNAs and proteins, i.e. the mRNA or protein abundance at certain temperature against the correspondent abundance at 55 °C. The small panel with color gradient represents the changes of protein abundance or mRNA abundance from down-regulated (green) to up-regulated (red).
Fig. 6.
Fig. 6.
Schematic diagram to illustrate the hypothetical model derived from the temperature-dependent proteins in T. tengcongensis. In rectangle box, the proteins, all up-regulated during the increase in growth temperature, are located in the cytoplasm and involved in the glycolysis related pathways. In ellipse box, the proteins, all down-regulated responding the temperature rising, are located on the membrane or associated with membrane, and involved in the sulfur-respiration related system. The protein abbreviations: NitroR, nitroreductase; Ndh, NADH dehydrogenase FAD-containing subunit; Nuo EFG, NADH dehydrogenase/NADH: ubquinone oxidoreductase subunit E/F/G; Etf, electron transfer flavoprotein; PFOR, pyruvate: ferredoxin oxidoreductase and related 2-oxoacid: ferredoxin oxidoreductase; Fe-S Cluster, Fe-S-cluster-containing hydrogenase; BCKDHC, branched-chain alpha-keto acid dehydrogenase complex; FNR, ferredoxin-NADP(+) reductase; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; OADC, oxaloacetate decarboxylase; PDC, pyruvate dehydrogenase complex.

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