430 likes | 579 Views
A genome-wide perspective on translation of proteins. Jan 2012 Regulatory Genomics Lecturer: Prof. Yitzhak Pilpel. Selection of codons might affect:. Accuracy. Throughput. RNA-structure. Costs. Folding. The energy landscape of kinetic proofreading. l’c. d*C. l’d. c*C. Free energy.
E N D
A genome-wide perspective on translation of proteins Jan 2012 Regulatory Genomics Lecturer: Prof. Yitzhak Pilpel
Selection of codons might affect: Accuracy Throughput RNA-structure Costs Folding
The energy landscape of kinetic proofreading l’c d*C l’d c*C Free energy c d C k’d dC k’c cC Fo d c C F=Fo* C
Selection of codons might affect: Accuracy Throughput RNA-structure Costs Folding
No correlation between CAI and protein expression among synthetic genes Protein abundance
Correlation does not imply causality!! r=0.63 Measured protein abundance Physiological Evolutionary Predicted translation efficiency (Ghaemmaghami et al. Nature 2003)
Tight RNA structure reduce translation Protein abundance
Natural sequences too show relaxed structure at 5’ (Tuller PNAS 2010) Structural tightness Structural tightness
Yet, mRNA structure doesn’t predict expression at all Protein/mRNA Structural Tightness
Bioinformatics vs. synthetic biology Bioinformatics Synthetic biology Variability is controlled (few confounding factors) Hundreds of thousands of genes All passed through natural selection
Maybe we had a wrong (i.e. too simple) model for evaluating effect of codons on TE?
Multiple ribosomes may translate the same message simultaneously
A genome-wide method to measure translation efficiency (Ingolia Science 2009)
Putative new ORFs in viruses How do we validate the new predictions? What does it mean to “validate” such predictions??
A genome-wide density profile of ribosomes in yeast Ingolia et al. Nature 2009
Low initial ramp is conserved in evolution Availability of tRNA Tuller Cell 2010
Ribosomal density is explained by computed speed 5’ -> 3’ Fluxi,i+1 = vi*Ji Fluxi,i+1 = Fluxi+1,i+2 At steady-state 1/vi=Ji
Selection of codons might affect: Accuracy Throughput RNA-structure Costs Folding
CAA CAG AAA TCG AAT Hypothesis: Traffic control by availability of raw material …
The anti-Shine–Dalgarno sequence drives translational pausing and codon choice in bacteriaGene-Wei Li, Eugene Oh & Jonathan S. Weissman System Biology Retreat 2012
Abstract a genome-wide analysis of pausing in bacteria by ribosome profiling. codons decoded by rare tRNAs do not lead to slow translation under nutrient-rich conditions. Shine–Dalgarno(SD) like features cause translational pausing. pausing is due to hybridization between the mRNA and 16S rRNA of the translating ribosome. In protein-coding sequences, internal SD sequences are disfavoured. SD-like sequences are a major determinant of translation rates and a global driving force for the coding of bacterial genomes.
Ribosome Profiling Per transcript • Ribosomes protect from • Micrococcal Nuclease
Motivation ribosome occupancy is highly variable across coding regions ribosome density often surpasses by more than tenfold the mean density Most pauses are uncharacterized. Where do the pausing come from???
Pausing due to codons usage? NO!* LB medium Serine codons • Why Serine? • serine is the first amino acid to be catabolized by E. coli when sugar is absent • the increased ribosome occupancy might be due to limited serine supply. glucose-supplemented MOPS medium the identity of the A-site codon could not account for the large variability in ribosome density along messages
Pausing are due to Shine–Dalgarno (SD) like features • Codons resemble features in the SD (AGGAGGU in E. coli) • coincides with spacing for ribosome binding sites.
Is it Elongating or Initiating Ribosomes? Experiment: Create a cell with: WT-ribosomes, O-ribosome & oSD-lacZ. • On oSD-lacZ: • Pausing on SD-like initiation (by WT ribosomes) • NO Pausing on SD-like elongating ribosomes
Pausing are of Elongating Ribosomes SD-lacZ SD-lacZ oSD-lacZ Other Genes Other Genes SD-like oSD-like oSD-lacZ SD-like oSD-like
Internal SD sequences are disfavoured strong SD-like sequences are generally avoided in the coding region
SD-like features affect codon selection GAG, AGG, and GGG are all minor codons Selection against two consecutive codons that resemble SD sequences
Conclusions and Discussions • SD-like features explain pausings, not codons • SD-like features & 16S elongating ribosome interacation • SD-like sequneces are disfavored to optimiaze translation consider peptide sequence • Interactions with ribosomes SD-like codons are disfavoured tRNA expression. • conserved pausing can be exploited for functional purposes: • Frameshifting, folding, transcriptional regulation
tRNAs may be recycled … CAA CAG AAA TCG AAT TCG Due to recycling the local concentration of a rare tRNA might be high in a near-by codon
Codon Order Influences the Speed of Translation in Yeast Cells Natural genes have a tendency to look like . I.e. if a rare codon appears at a given position it has an elevated tendency to occur again shortly after along the gene Cannarozzi et al Cell 2010
Selection of codons might affect: Accuracy Throughput RNA-structure Costs Folding
Selection of codons might affect: Accuracy Throughput RNA-structure Costs Folding
Slow Fast Rare codons at domain-boundaries may support folding Glu ? GAA (14) GAG (2) Argos et al. Protein Science 1996
Transient ribosomal attenuation coordinates protein synthesis and co-translational folding Nature Structural & Molecular Biology 16, 274 - 280 (2009)
Due to co-translation-folding a “synonymous mutation caused a disease – changed a fast codon to a slow one disrupted synchrony of translation and folding