Beginning Of Gene Research Articles

Identifying promoter sequence architectures via a chunking-based algorithm using non-negative matrix factorisation.

Core promoters are stretches of DNA at the beginning of genes that contain information that facilitates the binding of transcription initiation complexes. Different functional subsets of genes have core promoters with distinct architectures and characteristic motifs. Some of these motifs inform the selection of transcription start sites (TSS). By discovering motifs with fixed distances from known TSS positions, we could in principle classify promoters into different functional groups. Due to the variability and overlap of architectures, promoter classification is a difficult task that requires new approaches. In this study, we present a new method based on non-negative matrix factorisation (NMF) and the associated software called seqArchR that clusters promoter sequences based on their motifs at near-fixed distances from a reference point, such as TSS. When combined with experimental data from CAGE, seqArchR can efficiently identify TSS-directing motifs, including known ones like TATA, DPE, and nucleosome positioning signal, as well as novel lineage-specific motifs and the function of genes associated with them. By using seqArchR on developmental time courses, we reveal how relative use of promoter architectures changes over time with stage-specific expression. seqArchR is a powerful tool for initial genome-wide classification and functional characterisation of promoters. Its use cases are more general: it can also be used to discover any motifs at near-fixed distances from a reference point, even if they are present in only a small subset of sequences.

Structural basis of Integrator-mediated transcription regulation.

Integrator and protein phosphatase 2A (PP2A) form a complex that dephosphorylates paused RNA polymerase II (Pol II), cleaves the nascent RNA, and terminates transcription. We report the structure of the pretermination complex containing the human Integrator-PP2A complex bound to paused Pol II. Integrator binds Pol II and the pausing factors DSIF and NELF to exclude binding of the elongation factors SPT6 and PAF1 complex. Integrator also binds the C-terminal domain of Pol II and positions PP2A to counteract Pol II phosphorylation and elongation. The Integrator endonuclease docks to the RNA exit site and opens to cleave nascent RNA about 20 nucleotides from the Pol II active site. Integrator does not bind the DNA clamps formed by Pol II and DSIF, enabling release of DNA and transcription termination.

Efficient RNA polymerase II pause release requires U2 snRNP function

Transcription by RNA polymerase II (Pol II) is coupled to pre-mRNA splicing, but the underlying mechanisms remain poorly understood. Co-transcriptional splicing requires assembly of a functional spliceosome on nascent pre-mRNA, but whether and how this influences Pol II transcription remains unclear. Here we show that inhibition of pre-mRNA branch site recognition by the spliceosome component U2 snRNP leads to a widespread and strong decrease in new RNA synthesis from human genes. Multiomics analysis reveals that inhibition of U2 snRNP function increases the duration of Pol II pausing in the promoter-proximal region, impairs recruitment of the pause release factor P-TEFb, and reduces Pol II elongation velocity at the beginning of genes. Our results indicate that efficient release of paused Pol II into active transcription elongation requires the formation of functional spliceosomes and that eukaryotic mRNA biogenesis relies on positive feedback from the splicing machinery to the transcription machinery.

A comprehensive analysis of the phylogenetic signal in ramp sequences in 211 vertebrates

Ramp sequences increase translational speed and accuracy when rare, slowly-translated codons are found at the beginnings of genes. Here, the results of the first analysis of ramp sequences in a phylogenetic construct are presented. Ramp sequences were compared from 247 vertebrates (114 Mammalian and 133 non-mammalian), where the presence and absence of ramp sequences was analyzed as a binary character in a parsimony and maximum likelihood framework. Additionally, ramp sequences were mapped to the Open Tree of Life synthetic tree to determine the number of parallelisms and reversals that occurred, and those results were compared to random permutations. Parsimony and maximum likelihood analyses of the presence and absence of ramp sequences recovered phylogenies that are highly congruent with established phylogenies. Additionally, 81% of vertebrate mammalian ramps and 81.2% of other vertebrate ramps had less parallelisms and reversals than the mean from 1000 randomly permuted trees. A chi-square analysis of completely orthologous ramp sequences resulted in a p-value < 0.001 as compared to random chance. Ramp sequences recover comparable phylogenies as other phylogenomic methods. Although not all ramp sequences appear to have a phylogenetic signal, more ramp sequences track speciation than expected by random chance. Therefore, ramp sequences may be used in conjunction with other phylogenomic approaches if many orthologs are taken into account. However, phylogenomic methods utilizing few orthologs should be cautious in incorporating ramp sequences because individual ramp sequences may provide conflicting signals.

Power series method for solving TASEP-based models of mRNA translation

We develop a method for solving mathematical models of messenger RNA (mRNA) translation based on the totally asymmetric simple exclusion process (TASEP). Our main goal is to demonstrate that the method is versatile and applicable to realistic models of translation. To this end we consider the TASEP with codon-dependent elongation rates, premature termination due to ribosome drop-off and translation reinitiation due to circularisation of the mRNA. We apply the method to the model organism Saccharomyces cerevisiae under physiological conditions and find an excellent agreement with the results of stochastic simulations. Our findings suggest that the common view on translation as being rate-limited by initiation is oversimplistic. Instead we find theoretical evidence for ribosome interference and also theoretical support for the ramp hypothesis which argues that codons at the beginning of genes have slower elongation rates in order to reduce ribosome density and jamming.

Transcription Blockage Leads to New Beginnings.

Environmental agents are constantly challenging cells by damaging DNA, leading to the blockage of transcription elongation. How do cells deal with transcription-blockage and how is transcription restarted after the blocking lesions are removed? Here we review the processes responsible for the removal of transcription-blocking lesions, as well as mechanisms of transcription restart. We also discuss recent data suggesting that blocked RNA polymerases may not resume transcription from the site of the lesion following its removal but, rather, are forced to start over from the beginning of genes.

A Comprehensive, High-Resolution Map of a Gene’s Fitness Landscape

Mutations are central to evolution, providing the genetic variation upon which selection acts. A mutation’s effect on the suitability of a gene to perform a particular function (gene fitness) can be positive, negative, or neutral. Knowledge of the distribution of fitness effects (DFE) of mutations is fundamental for understanding evolutionary dynamics, molecular-level genetic variation, complex genetic disease, the accumulation of deleterious mutations, and the molecular clock. We present comprehensive DFEs for point and codon mutants of the Escherichia coli TEM-1 β-lactamase gene and missense mutations in the TEM-1 protein. These DFEs provide insight into the inherent benefits of the genetic code’s architecture, support for the hypothesis that mRNA stability dictates codon usage at the beginning of genes, an extensive framework for understanding protein mutational tolerance, and evidence that mutational effects on protein thermodynamic stability shape the DFE. Contrary to prevailing expectations, we find that deleterious effects of mutation primarily arise from a decrease in specific protein activity and not cellular protein levels.

Composite effects of gene determinants on the translation speed and density of ribosomes

BackgroundTranslation is a central process of life, and its regulation is crucial for cell growth. In this article, focusing on two model organisms, Escherichia coli and Saccharomyces cerevisiae, we study how three major local features of a gene's coding sequence (its adaptation to the tRNA pool, its amino acid charge, and its mRNA folding energy) affect its translation elongation.ResultsWe find that each of these three different features has a non-negligible distinct correlation with the speed of translation elongation. In addition, each of these features might contribute independently to slowing down ribosomal speed at the beginning of genes, which was suggested in previous studies to improve ribosomal allocation and the cost of translation, and to decrease ribosomal jamming. Remarkably, a model of ribosomal translation based on these three basic features highly correlated with the genomic profile of ribosomal density. The robustness to transcription errors in terms of the values of these features is higher at the beginnings of genes, suggesting that this region is important for translation.ConclusionsThe reported results support the conjecture that translation elongation speed is affected by the three coding sequence determinants mentioned above, and not only by adaptation to the tRNA pool; thus, evolution shapes all these determinants along the coding sequences and across genes to improve the organism's translation efficiency.

Translation efficiency is determined by both codon bias and folding energy

Synonymous mutations do not alter the protein produced yet can have a significant effect on protein levels. The mechanisms by which this effect is achieved are controversial; although some previous studies have suggested that codon bias is the most important determinant of translation efficiency, a recent study suggested that mRNA folding at the beginning of genes is the dominant factor via its effect on translation initiation. Using the Escherichia coli and Saccharomyces cerevisiae transcriptomes, we conducted a genome-scale study aiming at dissecting the determinants of translation efficiency. There is a significant association between codon bias and translation efficiency across all endogenous genes in E. coli and S. cerevisiae but no association between folding energy and translation efficiency, demonstrating the role of codon bias as an important determinant of translation efficiency. However, folding energy does modulate the strength of association between codon bias and translation efficiency, which is maximized at very weak mRNA folding (i.e., high folding energy) levels. We find a strong correlation between the genomic profiles of ribosomal density and genomic profiles of folding energy across mRNA, suggesting that lower folding energies slow down the ribosomes and decrease translation efficiency. Accordingly, we find that selection forces act near uniformly to decrease the folding energy at the beginning of genes. In summary, these findings testify that in endogenous genes, folding energy affects translation efficiency in a global manner that is not related to the expression levels of individual genes, and thus cannot be detected by correlation with their expression levels.

Integration Bias of Gammaretrovirus Vectors following Transduction and Growth of Primary Mouse Hematopoietic Progenitor Cells with and without Selection

The recent recognition that recombinant retrovirus vectors can induce oncogenic transformation has stimulated much interest in the pattern of vector integration sites. We report here on the integration pattern of a gammaretrovirus reporter vector following transduction and ex vivo culture of primary mouse bone marrow progenitor cells in the absence and presence of drug selection. Using a novel method of cloning junction fragments, we observed no bias for integrations within genes, but did observe a bias for integrations within gene-dense regions and especially near transcriptional start sites of highly active genes, similar to previous reports in other cell types. We also document a novel bias for integrations within or near a class of genes that encode nuclear-localized proteins. We found that drug selection resulted in an increase in the frequency of recovered integration events that were located within the beginning of genes, integration events that were located in less gene-dense regions, and integration events that were oriented in an antisense direction relative to flanking gene transcription. Taken together, these studies provide new insights into the nature of retrovirus vector integration patterns in primary cells and demonstrate that selection based on vector expression can bias the integration site repertoire.

Genome-wide Map of Nucleosome Acetylation and Methylation in Yeast

Eukaryotic genomes are packaged into nucleosomes whose position and chemical modification state can profoundly influence regulation of gene expression. We profiled nucleosome modifications across the yeast genome using chromatin immunoprecipitation coupled with DNA microarrays to produce high-resolution genome-wide maps of histone acetylation and methylation. These maps take into account changes in nucleosome occupancy at actively transcribed genes and, in doing so, revise previous assessments of the modifications associated with gene expression. Both acetylation and methylation of histones are associated with transcriptional activity, but the former occurs predominantly at the beginning of genes, whereas the latter can occur throughout transcribed regions. Most notably, specific methylation events are associated with the beginning, middle, and end of actively transcribed genes. These maps provide the foundation for further understanding the roles of chromatin in gene expression and genome maintenance.

Nucleotide sequence of the immunity region of bacteriophage Mu.

The leftmost 1590 bp of Mu DNA covering the immunity region have been sequenced. This region encodes the cI repressor, the cII or ner function and the beginning of gene A. An open reading frame extends from position 863 to 342 on the l-strand corresponding to cI protein with a molecular weight of 19212. It is preceded by a sequence resembling a promoter. To the right of the HindIII site an open reading frame extends from position 1099 to 1323 corresponding to cII or ner protein (molecular weight of 8505) followed by the beginning of gene A at position 1328. Between position 863 and 1099 promoters for leftward and rightward transcription and operator-like structures can be recognized in the sequence. The promoter for rightward transcription overlaps with the HindIII site and coincides with a RNA polymerase binding site as demonstrated by electron microscopy.

Bacteriophage lambda DNA maturation: The functional relationships among the products of genes Nul, A and FI

The FI gene of bacteriophage λ functions in head assembly, but its exact role is not well understood. FI mutants are leaky, producing between 0.1 and 0.5 viable particles per infected cell. In order to investigate the function of the FI product (gpFI) in vivo, mutants of λ were isolated that are able to grow in the absence of gpFI. These mutants, called fin (for FI independence) map in the region of gene Nul and the beginning of gene A. Proteins made in cells infected with the fin mutants were labelled with [ 35S]methionine and analysed by polyacrylamide gel electrophoresis. In addition, the levels of activity of the A product were measured in the in vitro DNA packaging assay. As a result of these experiments, the fin mutants can be classified in two groups. Upon infection, fin mutants of one group selectively produce three to fivefold more gpA than do wild-type phage fin mutants of the second group do not overproduce any λ late gene product detectable by the autoradiographic technique. gpA overproducers can also be isolated by selecting for λ Aam Wam phages that can plate on a weak suII cell strain. The mutation responsible for this pseudoreversion is called Aop and maps in the Nu1-A region. Aop is also a fin mutation, since its presence in λ FI − enables it to plate on non-permissive hosts. Therefore, it seems that one condition sufficient for normal growth of FI − phage is the overproduction of gpA. The nature of the fin mutations that do not result in gpA overproduction is discussed.

Control sites in the sequence at the beginning of T7 gene 1.

The DNA sequence of the fragment Hind.30, 378 bases long, from the beginning of gene 1 of T7 is presented. It contains the C promoter, two in vitro transcriptional terminator sites and a sequence of 171 bases which probably codes for the N terminus of the T7 RNA polymerase. The sequence also codes for the RNase III cleavage site before gene 1. The overlaps with the transcriptional terminators, The RNA transcript of the sequence about the terminators can be arranged in a set of alternative double-stranded hairpin structures. It is suggested that conversion between these structures may have a role in termination; this may be influenced by interactions with ribosomes and RNase III. The region of the C promoter between genes 0.7 and 1 thus contains several sites which may be involved in the control of transcription and translation.

Localization of Escherichia coli RNA polymerase binding sites on bacteriophage S13 and phiX174 DNA: alignment with restriction enzyme maps

Escherichia coli RNA polymerase has been shown to bind to a limited number of Hind and Hae III restriction enzyme fragments. On S13 replicative form DNA there are three major binding sites, and the locations correlate with promoter sites at the beginning of genes a and B and a site overlapping gene D and the beginning of gene E. Two less definite binding sites have been localized, one in gene F and one at the gene G-H junction. In phiX174 replicative form DNA, five sites, each with apparently similar binding properties, have been located, four of which correspond exactly to binding sites in S13. One site, at the beginning of the B gene, could not be assigned to exactly the same location found in S13. This was due in part to differences in the restriction cleavage maps in the area of the DNA and possibly to the higher background of nonspecific binding in the phiX174 experiments. The location of two of the phiX174 sites at the beginning of genes A and D-E corresponds very well with transcription data, but the site at the start of the B gene indicates the promoter site is closer to the initiation sequence of the B protein than was previously suggested on the basis of transcription data.

Isolation of recombinants between T7 and T3 bacteriophages and their use in vitro transcriptional mapping.

A variety of T3 X T7 recombinants were isolated from crosses between T3 and T7 parental phages carrying amber markers in various genes (gene 1 to gene 19). The genetic constitution of these recombinants was determined by reference to the selected markers and also directly by analysis of the proteins translated from the T3 X T7 recombinants in vivo. Although T3 and TM phages are closely related, most T3 and T7 proteins differ slightly in size, and hence the genetic origin of a gene can be determined by protein analysis. The major transcripts read by T3 and T7 RNA polymerases from T3 X T7 recombinant phage DNAs vary, depending on which regions of the T3 or T7 chromosome are present. T7 RNA polymerase is unable to utilize major promoter sites employed by T3 polymerase at an appreciable rate, and the converse is also true. Hence the transcriptional pattern for a recombinant phage DNA obtained with the T3 or T7 polymerase allows a determination of the identity of the different promoter sites on the genome. The transcriptional analysis of T3 X T7 recombinant DNAs together with earlier observations has been used to map the promoter sites for five out of seven major T3 and T7 RNA species on the genetic maps of T3 and T7. The promoter sites for the T7 and T3 RNA species IIIa, IV, and V originate at the beginning of genes 7, 9, and 10, respectively; the promoter sites for the T7 and T3 RNA species I and II are located to the left of gene 11 and gene 13, respectively. No T3 X T7 recombinants were found for which the specificity of the phage RNA polymerase was not correlated with the corresponding promoter sites for species IIIa and I (the transcription of which covers 60% of the genome). That means that the RNA polymerase specified by the recombinant genome is able to read all of the information encoded in sequences read normally from major promoters by the enzyme on the wild-type phage genome. This suggests that the in vitro specificity for promoter site selection by the phage polymerases is also maintained in vivo.

Recognition properties of the beta subunit of Escherichia coli ribonucleic acid polymerase.

Changes in the phage protein patterns obtained by gel electrophoresis of extracts from phage S13 and phiX174 infection of rifampin-resistant hosts suggest that the beta subunit of ribonucleic acid polymerase of Escherichia coli has a function in the recognition of promoter or terminator sites or both. The altered protein patterns also provide information on the location of some ribonucleic acid polymerase recognition signals in S13 deoxyribonucleic acid. There is a promoter site before gene A, which lies either in gene H or between H and A. There is evidence for a promotor between genes C and D or in gene C. There is either a terminator or a promoter somewhere between the end of gene D and the beginning of gene F.