Selection for unequal densities of sigma70 promoter-like signals in different regions of large bacterial genomes

The evolutionary processes operating in the DNA regions that participate in the regulation of gene expression are poorly understood. In Escherichia coli, we have established a sequence pattern that distinguishes regulatory from nonregulatory regions. The density of promoter-like sequences, that could be recognizable by RNA polymerase and may function as potential promoters, is high within regulatory regions, in contrast to coding regions and regions located between convergently transcribed genes. Moreover, functional promoter sites identified experimentally are often found in the subregions of highest density of promoter-like signals, even when individual sites with higher binding affinity for RNA polymerase exist elsewhere within the regulatory region. In order to see the generality of this pattern, we have analyzed 43 additional genomes belonging to most established bacterial phyla. Differential densities between regulatory and nonregulatory regions are detectable in most of the analyzed genomes, with the exception of those that have evolved toward extreme genome reduction. Thus, presence of this pattern follows that of genes and other genomic features that require weak selection to be effective in order to persist. On this basis, we suggest that the loss of differential densities in the reduced genomes of host-restricted pathogens and symbionts is an outcome of the process of genome degradation resulting from the decreased efficiency of purifying selection in highly structured small populations. This implies that the differential distribution of promoter-like signals between regulatory and nonregulatory regions detected in large bacterial genomes confers a significant, although small, fitness advantage. This study paves the way for further identification of the specific types of selective constraints that affect the organization of regulatory regions and the overall distribution of promoter-like signals through more detailed comparative analyses among closely related bacterial genomes.     

Selection for Unequal Densities of σ70 Promoter-Like Signals in Different Regions of Large Bacterial Genomes

The evolutionary processes operating in the DNA regions that participate in the regulation of gene expression are poorly understood. In Escherichia coli, we have established a sequence pattern that distinguishes regulatory from nonregulatory regions. The density of promoter-like sequences, that could be recognizable by RNA polymerase and may function as potential promoters, is high within regulatory regions, in contrast to coding regions and regions located between convergently transcribed genes. Moreover, functional promoter sites identified experimentally are often found in the subregions of highest density of promoter-like signals, even when individual sites with higher binding affinity for RNA polymerase exist elsewhere within the regulatory region. In order to see the generality of this pattern, we have analyzed 43 additional genomes belonging to most established bacterial phyla. Differential densities between regulatory and nonregulatory regions are detectable in most of the analyzed genomes, with the exception of those that have evolved toward extreme genome reduction. Thus, presence of this pattern follows that of genes and other genomic features that require weak selection to be effective in order to persist. On this basis, we suggest that the loss of differential densities in the reduced genomes of host-restricted pathogens and symbionts is an outcome of the process of genome degradation resulting from the decreased efficiency of purifying selection in highly structured small populations. This implies that the differential distribution of promoter-like signals between regulatory and nonregulatory regions detected in large bacterial genomes confers a significant, although small, fitness advantage. This study paves the way for further identification of the specific types of selective constraints that affect the organization of regulatory regions and the overall distribution of promoter-like signals through more detailed comparative analyses among closely related bacterial genomes.     

The random versus fragile breakage models of chromosome evolution: a matter of resolution

Conserved synteny––the sharing of at least one orthologous gene by a pair of chromosomes from two species––can, in the strictest sense, be viewed as sequence conservation between chromosomes of two related species, irrespective of whether coding or non-coding sequence is examined. The recent sequencing of multiple vertebrate genomes indicates that certain chromosomal segments of considerable size are conserved in gene order as well as underlying non-coding sequence across all vertebrates. Some of these segments lost genes or non-coding sequence and/or underwent breakage only in teleost genomes, presumably because evolutionary pressure acting on these regions to remain intact were relaxed after an additional round of whole genome duplication. Random reporter insertions into zebrafish chromosomes combined with computational genome-wide analysis indicate that large chromosomal areas of multiple genes contain long-range regulatory elements, which act on their target genes from several gene distances away. In addition, computational breakpoint analyses suggest that recurrent evolutionary breaks are found in “fragile regions” or “hotspots”, outside of the conserved blocks of synteny. These findings cannot be accommodated by the random breakage model and suggest that this view of genome and chromosomal evolution requires substantial reassessment.     

Expansion of genome coding regions by acquisition of new genes

As it is the case for non-coding regions, the coding regions of organisms can be expanded or shrunk during evolutionary processes. However, the dynamics of coding regions are expected to be more correlated with functional complexity and diversity than are the dynamics of non-coding regions. Hence, it is interesting to investigate the increase of diversity in coding regions – the origin and evolution of new genes – because this provides a new component to the genetic variation underlying the diversity of living organisms. Here, we examine what is known about the mechanisms responsible for the increase in gene number. Every mechanism affects genomes in a distinct way and to a different extent and it appears that certain organisms favor particular mechanisms. The detail of some interesting gene acquisitions reveals the extreme dynamism of genomes. Finally, we discuss what is known about the fate of new genes and conclude that many of the acquisitions are likely to have been driven by natural selection; they increase functional complexity, diversity, and/or adaptation of species. Despite this, the correlation between complexity of life and gene number is low and closely related species (with very similar life histories) can have very different number of genes. We call this phenomenon the G-value paradox.     

Nuclear protein factors binding with specific DNA sequences

Primary structure of thousands of genes is being determined in many laboratories worldwide. While it is relatively easy to analyse the coding region(s) of genes, it is usually hard to understand what is located in non-coding regions. A non-coding region may contain very valuable information about the mode of functioning of a given gene, e. g. promoters, enhancers, silencers etc. The regulatory function of these sequences is determined by their interaction with certain sequence-specific proteins, i. e. the presence of a certain DNA sequence in a non-coding region of a gene may suggest that the gene is regulated by a specific protein factor. This minireview summarizes recent data on most known eukaryotic sequence-specific DNA-binding protein factors, including their origin, DNA consensus, and their role in expression of corresponding genes.     

Early Evolution of Conserved Regulatory Sequences Associated with Development in Vertebrates

Comparisons between diverse vertebrate genomes have uncovered thousands of highly conserved non-coding sequences, an increasing number of which have been shown to function as enhancers during early development. Despite their extreme conservation over 500 million years from humans to cartilaginous fish, these elements appear to be largely absent in invertebrates, and, to date, there has been little understanding of their mode of action or the evolutionary processes that have modelled them. We have now exploited emerging genomic sequence data for the sea lamprey, Petromyzon marinus, to explore the depth of conservation of this type of element in the earliest diverging extant vertebrate lineage, the jawless fish (agnathans). We searched for conserved non-coding elements (CNEs) at 13 human gene loci and identified lamprey elements associated with all but two of these gene regions. Although markedly shorter and less well conserved than within jawed vertebrates, identified lamprey CNEs are able to drive specific patterns of expression in zebrafish embryos, which are almost identical to those driven by the equivalent human elements. These CNEs are therefore a unique and defining characteristic of all vertebrates. Furthermore, alignment of lamprey and other vertebrate CNEs should permit the identification of persistent sequence signatures that are responsible for common patterns of expression and contribute to the elucidation of the regulatory language in CNEs. Identifying the core regulatory code for development, common to all vertebrates, provides a foundation upon which regulatory networks can be constructed and might also illuminate how large conserved regulatory sequence blocks evolve and become fixed in genomic DNA.     

Distribution of genes and recombination in wheat and other eukaryotes

The genome sizes of eukaryotes may differ as much as 10,400-fold. A part of these differences may be attributed to polyploidy, and increase in gene number and size. Most of the genome size disparity is due to non-transcribed repeated DNA including retrotransposons and pseudogenes. Only a small fraction of the larger genomes such as those of many crop plants, contain genes. Genes are distributed unevenly along the chromosomes, often organized in clusters of varying sizes and gene-densities (gene-rich regions). The regions corresponding to gene-clusters in smaller genome plants such as rice may be divided into many ‘mini’ gene-clusters in the related larger genomes. The range of gene-density within the ‘mini2019; gene-clusters is about the same among plants with varying genome sizes. Recombination per chromosome is similar among eukaryotes, and thus is considerably independent of DNA content and chromosome size. Relatively little recombination occurs outside the gene-rich regions. Recombination varies dramatically among various gene regions, and is highly uneven within gene regions as well. Consequently, a significant number of genes may be inaccessible to recombination-based manipulations such as map-based cloning.