A small RNA activates CFA synthase by isoform‐specific mRNA stabilization

Small RNAs use a diversity of well‐characterized mechanisms to repress mRNAs, but how they activate gene expression at the mRNA level remains not well understood. The predominant activation mechanism of Hfq‐associated small RNAs has been translational control whereby base pairing with the target prevents the formation of an intrinsic inhibitory structure in the mRNA and promotes translation initiation. Here, we report a translation‐independent mechanism whereby the small RNA RydC selectively activates the longer of two isoforms of cfa mRNA (encoding cyclopropane fatty acid synthase) in Salmonella enterica. Target activation is achieved through seed pairing of the pseudoknot‐exposed, conserved 5′ end of RydC to an upstream region of the cfa mRNA. The seed pairing stabilizes the messenger, likely by interfering directly with RNase E‐mediated decay in the 5′ untranslated region. Intriguingly, this mechanism is generic such that the activation is equally achieved by seed pairing of unrelated small RNAs, suggesting that this mechanism may be utilized in the design of RNA‐controlled synthetic circuits. Physiologically, RydC is the first small RNA known to regulate membrane stability.     

P‐bodies and their functions during mRNA cell cycle: Mini‐review

P‐bodies (processing bodies) are observed in different organisms such as yeast, Caenorhabditis elegans and mammals. A typical eukaryotic cell contains several types of spatially formed granules, such as P‐bodies, stress granules and a variety of ribonucleoprotein bodies. These microdomains play important role in mRNA processing, including RNA interference, repression of translation and mRNA decay. The P‐bodies components as well as stress granules may play an important role in host defense against viral infection. The complete set of P‐bodies protein elements is still poor known. They contain conserved protein core limited to different organisms or to stress status of the cell. P‐bodies are related also to some neuronal mRNA granules as well as to maternal RNA granules or male germ cell granules. In this mini‐review, we focus on the structure of P‐bodies and their function in the mRNA utilization and processing because of the high mRNA's dynamics between different cellular compartments and its key role in modulation of gene expression. Copyright © 2012 John Wiley & Sons, Ltd.     

The E3 ubiquitin ligase RNF114 and TAB1 degradation are required for maternal‐to‐zygotic transition

The functional role of the ubiquitin‐proteasome pathway during maternal‐to‐zygotic transition (MZT) remains to be elucidated. Here we show that the E3 ubiquitin ligase, Rnf114, is highly expressed in mouse oocytes and that knockdown of Rnf114 inhibits development beyond the two‐cell stage. To study the underlying mechanism, we identify its candidate substrates using a 9,000‐protein microarray and validate them using an in vitro ubiquitination system. We show that five substrates could be degraded by RNF114‐mediated ubiquitination, including TAB1. Furthermore, the degradation of TAB1 in mouse early embryos is required for MZT, most likely because it activates the NF‐κB pathway. Taken together, our study uncovers that RNF114‐mediated ubiquitination and degradation of TAB1 activate the NF‐κB pathway during MZT, and thus directly link maternal clearance to early embryo development.     

Tristetraprolin‐driven regulatory circuit controls quality and timing of mRNA decay in inflammation

For a successful yet controlled immune response, cells need to specifically destabilize inflammatory mRNAs but prevent premature removal of those still used. The regulatory circuits controlling quality and timing in the global inflammatory mRNA decay are not understood. Here, we show that the mRNA‐destabilizing function of the AU‐rich element‐binding protein tristetraprolin (TTP) is inversely regulated by the p38 MAPK activity profile such that after inflammatory stimulus the TTP‐dependent decay is initially limited to few mRNAs. With time, the TTP‐dependent decay gradually spreads resulting in cumulative elimination of one third of inflammation‐induced unstable mRNAs in macrophages in vitro. We confirmed this sequential decay model in vivo since LPS‐treated mice with myeloid TTP ablation exhibited similar cytokine dysregulation profile as macrophages. The mice were hypersensitive to LPS but otherwise healthy with no signs of hyperinflammation seen in conventional TTP knockout mice demonstrating the requirement for myeloid TTP in re‐installment but not maintenance of immune homeostasis. These findings reveal a TTP‐ and p38 MAPK‐dominated regulatory mechanism that is vital for balancing acute inflammation by a temporally and qualitatively controlled mRNA decay.     

Codon usage bias: causative factors,quantification methods and genome‐wide patterns: with emphasis on insect genomes

Codon usage bias refers to the phenomenon where specific codons are used more often than other synonymous codons during translation of genes, the extent of which varies within and among species. Molecular evolutionary investigations suggest that codon bias is manifested as a result of balance between mutational and translational selection of such genes and that this phenomenon is widespread across species and may contribute to genome evolution in a significant manner. With the advent of whole‐genome sequencing of numerous species, both prokaryotes and eukaryotes, genome‐wide patterns of codon bias are emerging in different organisms. Various factors such as expression level, GC content, recombination rates, RNA stability, codon position, gene length and others (including environmental stress and population size) can influence codon usage bias within and among species. Moreover, there has been a continuous quest towards developing new concepts and tools to measure the extent of codon usage bias of genes. In this review, we outline the fundamental concepts of evolution of the genetic code, discuss various factors that may influence biased usage of synonymous codons and then outline different principles and methods of measurement of codon usage bias. Finally, we discuss selected studies performed using whole‐genome sequences of different insect species to show how codon bias patterns vary within and among genomes. We conclude with generalized remarks on specific emerging aspects of codon bias studies and highlight the recent explosion of genome‐sequencing efforts on arthropods (such as twelve Drosophila species, species of ants, honeybee, Nasonia and Anopheles mosquitoes as well as the recent launch of a genome‐sequencing project involving 5000 insects and other arthropods) that may help us to understand better the evolution of codon bias and its biological significance.     

Codon usage in bacteria: correlation with gene expressivity

The nucleic acid sequence bank now contains over 600 protein coding genes of which 107 are from prokaryotic organisms. Codon frequencies in each new prokaryotic gene are given. Analysis of genetic code usage in the 83 sequenced genes of the Escherichia coli genome (chromosome, transposons and plasmids) is presented, taking into account new data on gene expressivity and regulation as well as iso-tRNA specificity and cellular concentration. The codon composition of each gene is summarized using two indexes: one is based on the differential usage of iso-tRNA species during gene translation, the other on choice between Cytosine and Uracil for third base. A strong relationship between codon composition and mRNA expressivity is confirmed, even for genes transcribed in the same operon. The influence of codon use of peptide elongation rate and protein yield is discussed. Finally, the evolutionary aspect of codon selection in mRNA sequences is studied.     

The optimization of mRNA expression level by its intrinsic properties—Insights from codon usage pattern and structural stability of mRNA

Codon usage bias (CUB) and mRNA structural stability are important intrinsic features of mRNA that correlate positively with mRNA expression level. However, it remains unclear whether the mRNA expression level can be regulated by adjusting these two parameters, influencing the mRNAs' structure. Here we explored the influence of CUB and mRNA structural stability on mRNA expression levels in Saccharomyces cerevisiae, using both wild type and computationally mutated mRNAs. Although in wild type, both CUB and mRNA stability positively regulate the mRNA expression level, any deviation from natural situation breaks such equilibrium. The naturally occurring codon composition is responsible for optimizing the mRNA expression, and under such composition, the mRNA structure having highest stability is selected by nature.