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Cooperation and the evolution of bacterial niche breadth.

Bacteria exhibit varying niche breadths, with generalists thriving in diverse environments and specialists confined to specific habitats. Although genes for cooperative traits have been suggested to influence niche breadth evolution, their precise role remains unclear. We used a combination of phylogeny-based comparative methods to test causal hypotheses about the directionality of the relationship between genes for cooperation and bacterial niche breadth evolution across 25,785 species. Our results revealed 1) a positive correlation between the proportion of genes for cooperation and niche breadth; 2) genes for cooperation influenced niche breadth evolution, with a decreased proportion of such genes promoting niche contraction as the predominant evolutionary direction; and 3) genes for cooperation experience more frequent gain and loss within species rather than across species. These findings suggest a role of bacterial cooperation in influencing niche breadth evolution and maintaining the ecological versatility of bacteria. While our results are consistent with a simple relationship under the hypotheses tested, more complex causal scenarios are possible, including the role of factors that influence both cooperation and niche breadth.

Phylogeny↗

Bacterial directed evolution of CRISPR base editors.

Base editing and other precision editing agents have transformed the utility and therapeutic potential of CRISPR-based genome editing. While some native enzymes edit efficiently with their nature-derived function, many enzymes require rational engineering or directed evolution to enhance the compatibility with mammalian cell genome editing. While many methods of engineering and directed evolution exist, plate-based discrete evolution offers an ideal balance between ease of use and engineering power. Here, we describe a detailed method for the bacterial directed evolution of CRISPR base editors that compounds technical ease with flexibility of application.

Gene Editing↗

[Evolution of bacterial resistance to antibiotics].

Bacterial resistance to antibiotics is often plasmid-mediated and the associated genes encoded by transposable elements. These elements play a central role in evolution by providing mechanisms for the generation of diversity and, in conjuntion with DNA transfer systems, for the dissemination of resistance to other bacteria. Resistance to antibiotics in gram-negative bacilli is most commonly mediated by R plasmids and by genes carried by transposons and integrons. In gram-positive cocci the conjugative transposons are fundamental for antibiotic resistance. Acquired multiple R in S. pneumoniae can result from the presence of transposon Tn1545, which carries determinants erm (B), tet (M), aph(3')-III, and catpC194.

Drug Resistance, Bacterial↗

Stepwise molecular evolution of bacterial photosynthetic energy conversion.

The concept of continuity in molecular evolution implies a stepwise formation of metabolic systems and processes. In this manner, chemical and biological evolution have given rise, step by step, to such complicated systems as the photosynthetic apparatus and thus, such elaborate processes as photosynthesis in the living cell. Among currently living organisms, the bacteria contain a much less complex photosynthetic system than the algae and higher plants, which uniquely are capable fo splitting H2O. But also the bacterial system is a very highly evolved and sophisticated, membrane-bound apparatus for the transformation of light energy to other biologically useful energy forms. The study of its molecular evolution is here undertaken by the method of attempting to break down the system into its main components and functions in order to elucidate how they had originated and evolved, and how, by divergent and convergent evolutionary steps, the stage was set for the arrival of bacterial photophosphorylation.

Adenosine Triphosphatases↗

Evolution of bacterial diversity and the origins of modularity.

A characteristic feature of all organisms is modular organisation: the tendency for groups of genes to interact in such a way as to limit the extent of pleiotropic effects among characters belonging to different functional complexes. While the implications of modularity for the evolution of variability have been much discussed the evolutionary origins remain obscure. Here we develop a model, with special reference to signal transduction cascades of bacteria, which predicts that in the face of ecological opportunity and lateral gene transfer, selection will favour modular genome architectures because such architectures minimise the pleiotropic effects associated with accommodation of potentially beneficial foreign DNA.

Base Composition↗

Molecular evolution of bacterial cell-surface proteins.

The cell-surface proteins of the infective bacteria Streptococcus and Staphylococcus are probably involved in the process of infection. These proteins share many features including secretion signal peptides, cell-wall spanning regions, membrane anchor domains and repeated domains of various functions. These common features may have evolved by gene duplication and swapping of gene fragments.

Amino Acid Sequence↗

Analyses of clonality and the evolution of bacterial pathogens.

The existence of bacterial clones was evident in early phenotypic studies that recognised high levels of similarity in geographically and temporally separated isolates. Multilocus sequence typing (MLST) has become the most common method for genetically characterizing clones of several bacterial pathogens, allowing the tracking of hypervirulent/antibiotic-resistant lineages. MLST has also been used to examine the way that bacterial populations, and in particular, bacterial clones evolve. Visualisation of MLST datasets has required the development of novel tools, such as 'eBURST', a key program in constructing evolutionary models that detail how methicillin resistant Staphylococcus aureus (MRSA) and other clones emerge and spread.

Algorithms↗

Structural evolution of bacterial plasmids: role of translocating genetic elements and DNA sequence insertions.

Recent evidence suggests that plasmids have evolved by site-specific recombinational events involving translocation and insertion of discretely defined DNA segments. The role of translocating genetic elements and repeated DNA sequences in the formation and structural evolution of bacterial plasmids, and in the control of plasmid gene expression, is the subject of this brief review. Insertion sequence (IS) regions are discrete segments of DNA that are known to cause strongly polar mutations in the genes of Escherichia coli and several bacteriophages as a consequence of their insertion into bacterial or phage genomes. Recent investigations have identified three separate kinds of IS segments on plasmids, and have indicated that such regions may have a role in 1) site-specific reversible dissociation of antibiotic resistance plasmids into their component segments, 2) recombination of certain plasmids with the bacterial chromosome, and 3) translocation of segments of plasmid DNA onto other replicons, or onto different sites of the same replicon. In addition, such DNA sequences, which may be repeated on plasmid genomes in either direct or reverse orientation, are involved in the control of plasmid gene expression. Inverted repeats other than the genetically characterized IS segments also appear to be involved in recA-independent, recombination and translocation of plasmid DNA segments. These inverted repeats contain palindromic nucleotide sequences on each strand of DNA and are detectable as hairpin-loop structures by electron microscope heteroduplex analysis. Such palindromes resemble the recognition sites for restriction endonucleases, some of which are encoded by plasmids, suggesting that similar endonucleolytic enzymes may be involved in the translocation of plasmid DNA segments.

Base Sequence↗

Genome evolution in bacterial endosymbionts of insects.

Many insect species rely on intracellular bacterial symbionts for their viability and fecundity. Large-scale DNA-sequence analyses are revealing the forces that shape the evolution of these bacterial associates and the genetic basis of their specialization to an intracellular lifestyle. The full genome sequences of two obligate mutualists, Buchnera aphidicola of aphids and Wigglesworthia glossinidia of tsetse flies, reveal substantial gene loss and an integration of host and symbiont metabolic functions. Further genomic comparisons should reveal the generality of these features among bacterial mutualists and the extent to which they are shared with other intracellular bacteria, including obligate pathogens.

Animals↗

Molecular considerations in the evolution of bacterial genes.

Synonymous and nonsynonymous substitution rates at the loci encoding glyceraldehyde-3-phosphate dehydrogenase (gap) and outer membrane protein 3A (ompA) were examined in 12 species of enteric bacteria. By examining homologous sequences in species of varying degrees of relatedness and of known phylogenetic relationships, we analyzed the patterns of synonymous and nonsynonymous substitutions within and among these genes. Although both loci accumulate synonymous substitutions at reduced rates due to codon usage bias, portions of the gap and ompA reading frames show significant deviation in synonymous substitution rates not attributable to local codon bias. A paucity of synonymous substitutions in portions of the ompA gene may reflect selection for a novel mRNA secondary structure. In addition, these studies allow comparisons of homologous protein-coding sequences (gap) in plants, animals, and bacteria, revealing differences in evolutionary constraints on this glycolytic enzyme in these lineages.

Amino Acid Sequence↗

Learning and evolution in bacterial taxis: an operational amplifier circuit modeling the computational dynamics of the prokaryotic 'two component system' protein network.

Adaptive behavior in unicellular organisms (i.e., bacteria) depends on highly organized networks of proteins governing purposefully the myriad of molecular processes occurring within the cellular system. For instance, bacteria are able to explore the environment within which they develop by utilizing the motility of their flagellar system as well as a sophisticated biochemical navigation system that samples the environmental conditions surrounding the cell, searching for nutrients or moving away from toxic substances or dangerous physical conditions. In this paper we discuss how proteins of the intervening signal transduction network could be modeled as artificial neurons, simulating the dynamical aspects of the bacterial taxis. The model is based on the assumption that, in some important aspects, proteins can be considered as processing elements or McCulloch-Pitts artificial neurons that transfer and process information from the bacterium's membrane surface to the flagellar motor. This simulation of bacterial taxis has been carried out on a hardware realization of a McCulloch-Pitts artificial neuron using an operational amplifier. Based on the behavior of the operational amplifier we produce a model of the interaction between CheY and FliM, elements of the prokaryotic two component system controlling chemotaxis, as well as a simulation of learning and evolution processes in bacterial taxis. On the one side, our simulation results indicate that, computationally, these protein 'switches' are similar to McCulloch-Pitts artificial neurons, suggesting a bridge between evolution and learning in dynamical systems at cellular and molecular levels and the evolutive hardware approach. On the other side, important protein 'tactilizing' properties are not tapped by the model, and this suggests further complexity steps to explore in the approach to biological molecular computing.

Adaptation, Physiological↗

Microbial interactions involving sulfur bacteria: implications for the ecology and evolution of bacterial communities.

A major goal of microbial ecology is the identification and characterization of those microorganisms which govern transformations in natural ecosystems. This review summarizes our present knowledge of microbial interactions in the natural sulfur cycle. Central to the discussion is the recent progress made in understanding the co-occurrence in natural ecosystems of sulfur bacteria with contrasting nutritional requirements and of the spatially very close associations of bacteria, the so-called phototrophic consortia (e.g. 'Chlorochromatium aggregatum' or 'Pelochromatium roseum'). In a similar way, microbial interactions may also be significant during microbial transformations other than the sulfur cycle in natural ecosystems, and could also explain the low culturability of bacteria from natural samples.

Bacteria↗

The evolution of bacterial transformation: sex with poor relations.

Bacteria are the only organisms known to actively take up DNA and recombine it into their genomes. While such natural transformation systems may provide many of the same benefits that sexual reproduction provides eukaryotes, there are important differences that critically alter the consequences, especially when recombination's main benefit is reducing the mutation load. Here, analytical and numerical methods are used to study the selection of transformation genes in populations undergoing deleterious mutation. Selection for transformability depends on the shape of the fitness function against mutation. If the fitness function is linear, then transformation would be selectively neutral were it not for the possibility that transforming cells may take up DNA that converts them into nontransformable cells. If the selection includes strong positive (synergistic) epistasis, then transformation can be advantageous in spite of this risk. The effect of low quality DNA (from selectively killed cells) on selection is then studied analytically and found to impose an additional cost. The limited data available for real bacterial populations suggest that the conditions necessary for the evolution of transformation are unlikely to be met, and thus that DNA uptake may have some function other than recombination of deleterious mutations.

Bacteria↗

Neutral microepidemic evolution of bacterial pathogens.

Understanding bacterial population genetics is vital for interpreting the response of bacterial populations to selection pressures such as antibiotic treatment or vaccines targeted at only a subset of strains. The evolution of transmissible bacteria occurs by mutation and localized recombination and is influenced by epidemiological as well as molecular processes. We demonstrate that the observed population genetic structure of three important human pathogens, Streptococcus pneumoniae, Neisseria meningitidis, and Staphylococcus aureus, can be explained by using a simple evolutionary model that is based on neutral mutational drift, modulated by recombination, and which incorporates the impact of epidemic transmission in local populations. The predictions of this neutral "microepidemic" model are found to closely fit observed genetic relatedness distributions of bacteria sampled from their natural population, and it provides estimates of the relative rate of recombination that agree well with empirical estimates. The analysis suggests the emergence of neutral bacterial population structure from overlapping microepidemics within clustered host populations and provides insight into the nature and size distribution of these clusters. These findings challenge the assumption that strains of bacterial pathogens differ markedly in relative fitness.

Alleles↗

Deletional bias and the evolution of bacterial genomes.

Although bacteria increase their DNA content through horizontal transfer and gene duplication, their genomes remain small and, in particular, lack nonfunctional sequences. This pattern is most readily explained by a pervasive bias towards higher numbers of deletions than insertions. When selection is not strong enough to maintain them, genes are lost in large deletions or inactivated and subsequently eroded. Gene inactivation and loss are particularly apparent in obligate parasites and symbionts, in which dramatic reductions in genome size can result not from selection to lose DNA, but from decreased selection to maintain gene functionality. Here we discuss the evidence showing that deletional bias is a major force that shapes bacterial genomes.

Bacteria↗