A systems approach to model natural variation in reactive properties of bacterial ribosomes

<p>Abstract</p> <p>Background</p> <p>Natural variation in protein output from translation in bacteria and archaea may be an organism-specific property of the ribosome. This paper adopts a systems approach to model the protein output as a measure of specific ribosome reactive properties in a ribosome-mediated translation apparatus. We use the steady-state assumption to define a transition state complex for the ribosome, coupled with mRNA, tRNA, amino acids and reaction factors, as a subsystem that allows a focus on the completed translational output as a measure of specific properties of the ribosome.</p> <p>Results</p> <p>In analogy to the steady-state reaction of an enzyme complex, we propose a steady-state translation complex for mRNA from any gene, and derive a maximum specific translation activity, <it>T</it>_{<it>a</it>(max)}, as a property of the ribosomal reaction complex. <it>T</it>_{<it>a</it>(max)}has units of <it>a</it>-protein output per time per <it>a</it>-specific mRNA. A related property of the ribosome, <inline-formula><m:math name="1752-0509-2-62-i1" xmlns:m="http://www.w3.org/1998/Math/MathML"><m:semantics><m:mrow><m:msub><m:mover accent="true"><m:mi>T</m:mi><m:mo>˜</m:mo></m:mover><m:mrow><m:mi>a</m:mi><m:mo stretchy="false">(</m:mo><m:mi>max</m:mi><m:mo>⁡</m:mo><m:mo stretchy="false">)</m:mo></m:mrow></m:msub></m:mrow><m:annotation encoding="MathType-MTEF"> MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafmivaqLbaGaadaWgaaWcbaGaemyyaeMaeiikaGIagiyBa0MaeiyyaeMaeiiEaGNaeiykaKcabeaaaaa@3464@</m:annotation></m:semantics></m:math></inline-formula>, has units of <it>a</it>-protein per time per total RNA with the relationship <inline-formula><m:math name="1752-0509-2-62-i1" xmlns:m="http://www.w3.org/1998/Math/MathML"><m:semantics><m:mrow><m:msub><m:mover accent="true"><m:mi>T</m:mi><m:mo>˜</m:mo></m:mover><m:mrow><m:mi>a</m:mi><m:mo stretchy="false">(</m:mo><m:mi>max</m:mi><m:mo>⁡</m:mo><m:mo stretchy="false">)</m:mo></m:mrow></m:msub></m:mrow><m:annotation encoding="MathType-MTEF"> MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafmivaqLbaGaadaWgaaWcbaGaemyyaeMaeiikaGIagiyBa0MaeiyyaeMaeiiEaGNaeiykaKcabeaaaaa@3464@</m:annotation></m:semantics></m:math></inline-formula> = <it>ρ</it>_{<it>a </it>}<it>T</it>_{<it>a</it>(max)}, where <it>ρ</it>_{<it>a </it>}represents the fraction of total RNA committed to translation output of <it>P</it>_{<it>a </it>}from gene <it>a </it>message. <it>T</it>_{<it>a</it>(max)}as a ribosome property is analogous to <it>k</it>_catfor a purified enzyme, and <inline-formula><m:math name="1752-0509-2-62-i1" xmlns:m="http://www.w3.org/1998/Math/MathML"><m:semantics><m:mrow><m:msub><m:mover accent="true"><m:mi>T</m:mi><m:mo>˜</m:mo></m:mover><m:mrow><m:mi>a</m:mi><m:mo stretchy="false">(</m:mo><m:mi>max</m:mi><m:mo>⁡</m:mo><m:mo stretchy="false">)</m:mo></m:mrow></m:msub></m:mrow><m:annotation encoding="MathType-MTEF"> MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafmivaqLbaGaadaWgaaWcbaGaemyyaeMaeiikaGIagiyBa0MaeiyyaeMaeiiEaGNaeiykaKcabeaaaaa@3464@</m:annotation></m:semantics></m:math></inline-formula> is analogous to enzyme specific activity in a crude extract.</p> <p>Conclusion</p> <p>Analogy to an enzyme reaction complex led us to a ribosome reaction model for measuring specific translation activity of a bacterial ribosome. We propose to use this model to design experimental tests of our hypothesis that specific translation activity is a ribosomal property that is subject to natural variation and natural selection much like <it>V</it>_maxand <it>K</it>_mfor any specific enzyme.</p

Integrative Identification of Arabidopsis Mitochondrial Proteome and Its Function Exploitation through Protein Interaction Network

Mitochondria are major players on the production of energy, and host several key reactions involved in basic metabolism and biosynthesis of essential molecules. Currently, the majority of nucleus-encoded mitochondrial proteins are unknown even for model plant Arabidopsis. We reported a computational framework for predicting Arabidopsis mitochondrial proteins based on a probabilistic model, called Naive Bayesian Network, which integrates disparate genomic data generated from eight bioinformatics tools, multiple orthologous mappings, protein domain properties and co-expression patterns using 1,027 microarray profiles. Through this approach, we predicted 2,311 candidate mitochondrial proteins with 84.67% accuracy and 2.53% FPR performances. Together with those experimental confirmed proteins, 2,585 mitochondria proteins (named CoreMitoP) were identified, we explored those proteins with unknown functions based on protein-protein interaction network (PIN) and annotated novel functions for 26.65% CoreMitoP proteins. Moreover, we found newly predicted mitochondrial proteins embedded in particular subnetworks of the PIN, mainly functioning in response to diverse environmental stresses, like salt, draught, cold, and wound etc. Candidate mitochondrial proteins involved in those physiological acitivites provide useful targets for further investigation. Assigned functions also provide comprehensive information for Arabidopsis mitochondrial proteome

Preparation and Proteomic Analysis of Chloroplast Ribosomes

Proteomics of chloroplast ribosomes in spinach and Chlamydomonas revealed unique protein composition and structures of plastid ribosomes. These studies have suggested the presence of some ribosomal proteins unique to plastid ribosomes which may be involved in plastid-unique translation regulation. Considering the strong background of genetic analysis and molecular biology in Arabidopsis, the in-depth proteomic characterization of Arabidopsis plastid ribosomes would facilitate further understanding of plastid translation in higher plants. Here, I describe simple and rapid methods for the preparation of plastid ribosomes from Chlamydomonas and Arabidopsis using sucrose gradients. I also describe purity criteria and methods for yield estimation of the purified plastid ribosomes and subunits, methods for the preparation of plastid ribosomal proteins, as well as the identification of some Arabidopsis plastid ribosomal proteins by matrix-assisted laser desorption/ionization mass spectrometry